{"id":"W2143334947","doi":"10.1002/meet.14504701330","title":"A comparison between usage‐based and citation‐based methods for recommending scholarly research articles","year":2010,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Recommender system; Citation; Computer science; Collaborative filtering; Information retrieval; Digital library; World Wide Web; Usage data","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01072162,0.0008320363,0.001169645,0.007106966,0.0008500403,0.002218045,0.001884366,0.001851747,0.002138144],"category_scores_gemma":[0.05876762,0.0005037558,0.001129752,0.005032409,0.0005001005,0.003347498,0.0009205347,0.001025717,0.001177607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009013291,"about_ca_system_score_gemma":0.0009601434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009170338,"about_ca_topic_score_gemma":0.01261219,"domain_scores_codex":[0.9896653,0.004456903,0.000826694,0.0008813629,0.003981938,0.0001878217],"domain_scores_gemma":[0.9052223,0.07093336,0.003737965,0.005823328,0.01325943,0.001023686],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003009106,0.001761141,0.1256892,0.001657012,0.001829995,0.0001081971,0.001498786,0.01654035,0.007067418,0.003082295,0.005335922,0.8324207],"study_design_scores_gemma":[0.000980458,0.004989848,0.2608844,0.0004824835,0.002214084,0.001354467,0.001687488,0.6893055,0.01300626,0.006560871,0.01776532,0.0007687481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360928,0.01071828,0.1301885,0.001669908,0.0004216589,0.0008363398,0.001476279,0.002391612,0.01620467],"genre_scores_gemma":[0.8919231,0.001465683,0.1017049,0.0001418453,0.0002577485,0.0002438197,0.001066964,0.00008899601,0.003106897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.992893,"threshold_uncertainty_score":0.05670202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124896791338546,"score_gpt":0.4429243135539227,"score_spread":0.3304346344200682,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}