{"id":"W3017366812","doi":"","title":"A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Collaborative filtering; Recommender system; Computer science; Exploit; Data mining; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003116312,0.0001931675,0.0002243005,0.0001121079,0.0005504435,0.0006872835,0.002627967,0.00008704834,0.0000232286],"category_scores_gemma":[0.0005661405,0.0001904623,0.00004803538,0.0008146893,0.0001746791,0.0007905043,0.002018261,0.0001468804,0.00001827496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006611026,"about_ca_system_score_gemma":0.0001370778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009935427,"about_ca_topic_score_gemma":0.0007756834,"domain_scores_codex":[0.9963607,0.001991894,0.0003609405,0.0006784931,0.0002854938,0.000322452],"domain_scores_gemma":[0.9947245,0.0006323565,0.0002862246,0.002763023,0.001461,0.0001328655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001323639,0.001008937,0.007855243,0.00009819675,0.0002495103,0.00002814737,0.03330426,0.00001469741,0.02973525,0.0844115,0.01152381,0.8317572],"study_design_scores_gemma":[0.0004093725,0.000001193791,0.0007804181,0.0004356083,0.00001033324,0.00002889988,0.0001833477,0.7835078,0.1430829,0.001099642,0.07009392,0.0003665132],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01140232,0.0002240366,0.9822387,0.001928781,0.0001717892,0.0002469832,0.0001441144,0.0004256998,0.003217656],"genre_scores_gemma":[0.436327,0.00002959807,0.563093,0.00005788871,0.00003530816,0.00001385912,0.0001464557,0.00001515034,0.0002817001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8313907,"threshold_uncertainty_score":0.7766829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182677369900403,"score_gpt":0.2600276177443906,"score_spread":0.2282008440453866,"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."}}