{"id":"W1974268102","doi":"10.1145/1951365.1951392","title":"TopRecs","year":2011,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recommender system; Computer science; Scalability; Collaborative filtering; Aggregate (composite); Key (lock); Computation; Similarity (geometry); Data mining; Probabilistic logic; Information retrieval; Theoretical computer science; Machine learning; Artificial intelligence; Algorithm; Database","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":[0.00007273091,0.00002907459,0.00003550138,0.00002054527,0.00001639115,0.00002150204,0.0003473108,0.00001552063,0.00008465096],"category_scores_gemma":[0.000001235015,0.0000211711,0.00001688106,0.00005502609,0.000003388714,0.0001757703,0.00008395004,0.00001919557,0.00006482345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003468351,"about_ca_system_score_gemma":0.000004537989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144729,"about_ca_topic_score_gemma":0.000004966953,"domain_scores_codex":[0.9997388,0.000009050139,0.00005706222,0.00008735302,0.00003967997,0.00006807525],"domain_scores_gemma":[0.999696,0.000004160484,0.00001180527,0.0002526939,0.00001128748,0.00002401666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.293312e-7,0.00001382794,0.0008443469,0.000001171818,0.000002196226,0.000002630076,0.000397918,2.99611e-9,0.00007385982,0.9340506,0.01150062,0.05311273],"study_design_scores_gemma":[0.0002245719,0.0002622801,0.01707573,0.00001774165,0.000002212604,0.00009081338,0.00006423525,0.003514068,0.3008283,0.2768655,0.4005481,0.0005064728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002365433,0.000007157556,0.5930645,0.00007539251,0.00009778817,0.00002169118,1.724369e-8,0.0002568371,0.40624],"genre_scores_gemma":[0.7304315,0.000002090574,0.2676813,0.0002425775,0.00001134148,0.000005480686,3.084221e-8,0.000001339549,0.001624329],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.730195,"threshold_uncertainty_score":0.09268687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0727070513620585,"score_gpt":0.2225802288208077,"score_spread":0.1498731774587492,"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."}}