{"id":"W2138759931","doi":"10.1145/2488388.2488445","title":"HeteroMF","year":2013,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Recommender system; Context (archaeology); Matrix decomposition; Cold start (automotive); Factor (programming language); Process (computing); Artificial intelligence; Factor analysis; Information retrieval; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.001601947,0.001239815,0.00108021,0.00128515,0.001068927,0.001634691,0.002011641,0.002516492,0.05201137],"category_scores_gemma":[0.00710639,0.0005164805,0.001454919,0.001118807,0.0006359475,0.002741287,0.001959309,0.001828178,0.01851182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00073702,"about_ca_system_score_gemma":0.001591177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005432784,"about_ca_topic_score_gemma":0.009487608,"domain_scores_codex":[0.9984297,0.0004230022,0.00008001136,0.0004743166,0.0004001473,0.0001927697],"domain_scores_gemma":[0.9981693,0.0007070715,0.0001002756,0.0003879072,0.0005412709,0.00009414277],"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":[0.0003699354,0.0002460161,0.002455533,0.0006477349,0.0001821278,0.0004099313,0.0002328676,0.1317666,0.005242261,0.1075539,0.1614939,0.5893992],"study_design_scores_gemma":[0.00007511985,0.0001420942,0.000816554,0.0001167396,0.00004222893,0.0005620047,0.0001379263,0.7736013,0.00249635,0.1181706,0.1037884,0.00005071165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007384507,0.001285425,0.9545543,0.001124671,0.0006360227,0.0002008447,0.002756731,0.00458633,0.02747128],"genre_scores_gemma":[0.2335221,0.001808946,0.6700208,0.002535673,0.000919854,0.001063246,0.02120137,0.002537944,0.06639009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05201137,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028856897737597,"score_gpt":0.2052015021096575,"score_spread":0.1949129331322816,"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."}}