從【文獻取得】到【影響力判斷】:Third Iron × Scite
研究人員經常面臨兩大挑戰:如何快速有效地取得所需文獻,以及如何判斷這些文獻的學術影響力。Third Iron 跟 Scite 整合,不僅讓研究人員更快找到全文、更準確理解引用脈絡,也協助圖書館與機構提升館藏效益、增加資源使用率,為訂閱投資創造長遠價值。已經同時是Scite和Third Iron的訂戶? 聯繫我們開通整合。
研究人員經常面臨兩大挑戰:如何快速有效地取得所需文獻,以及如何判斷這些文獻的學術影響力。Third Iron 跟 Scite 整合,不僅讓研究人員更快找到全文、更準確理解引用脈絡,也協助圖書館與機構提升館藏效益、增加資源使用率,為訂閱投資創造長遠價值。已經同時是Scite和Third Iron的訂戶? 聯繫我們開通整合。
Scite 為旗下的學術助理 Scite Assistant 隆重推出兩項重大功能升級,協助研究者更精準迅速地爬梳文獻,提升研究的量能與品質:1.具備推理能力的 OpenAI o4-mini 模型;2.廣受歡迎的表格模式。讓我們一起來了解。
讓我們與 Vanderbilt University 和 Murray State University 的頂尖專家一起探索人工智慧、學術倫理和資訊素養的關鍵交叉點。基於最近發表的研究,本次線上研討會將為圖書館員、教育工作者和學術專業人士提供負責任之人工智慧整合的可行性見解。
scite.ai 的資料來源是 2 億篇來自學術出版社的全文內容,參考資料來源是實際已經出版的、經過同儕評論的內容,較一般 AI 工具更能使用於學術搜尋和文本生成上。
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