{"id":"W2043281479","doi":"10.1145/2339530.2339731","title":"RecMax","year":2012,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recommender system; MovieLens; Heuristics; Computer science; Collaborative filtering; Product (mathematics); Set (abstract data type); Joke; Machine learning; Mathematics","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":[0.002155194,0.001700297,0.001363406,0.001106276,0.001355897,0.003275701,0.003209051,0.002169993,0.04532597],"category_scores_gemma":[0.01045988,0.0007666182,0.001546746,0.002305373,0.0008888355,0.005800153,0.002545294,0.002248648,0.01841769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420759,"about_ca_system_score_gemma":0.002278922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002799955,"about_ca_topic_score_gemma":0.00689696,"domain_scores_codex":[0.9965441,0.001036212,0.0002447513,0.001183746,0.0005906206,0.0004005977],"domain_scores_gemma":[0.9943486,0.002583762,0.0002671607,0.001991187,0.0006325447,0.0001767754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007531344,0.0004233742,0.002430719,0.001289697,0.0001325151,0.0003376573,0.0003544065,0.08601094,0.003974806,0.1143926,0.1916232,0.5982769],"study_design_scores_gemma":[0.0001824038,0.0003393445,0.0008687271,0.0001611109,0.0001217514,0.001064335,0.000388577,0.4411799,0.008063186,0.2455159,0.3020411,0.00007364762],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03781954,0.003095286,0.8091561,0.005235664,0.0008374992,0.001371805,0.01248194,0.01609745,0.1139047],"genre_scores_gemma":[0.2056913,0.001589533,0.6921797,0.002758615,0.0003997382,0.0009476799,0.01851854,0.003378968,0.07453594],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04532597,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708492850755454,"score_gpt":0.256719513032832,"score_spread":0.2296345845252774,"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."}}