{"id":"W2507254902","doi":"10.1145/2956234","title":"TopPRF","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Information Systems","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Relevance feedback; Relevance (law); Information retrieval; Selection (genetic algorithm); Probabilistic logic; Reliability (semiconductor); Key (lock); Entropy (arrow of time); Identification (biology); Data mining; Artificial intelligence","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":[0.001680502,0.001894927,0.001578917,0.002993983,0.001948065,0.003097876,0.003302633,0.002232404,0.08344053],"category_scores_gemma":[0.006363933,0.000701005,0.002089639,0.002775208,0.0006782551,0.003845569,0.002430403,0.002013592,0.05278128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335378,"about_ca_system_score_gemma":0.002462794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005399233,"about_ca_topic_score_gemma":0.00706692,"domain_scores_codex":[0.9973563,0.0003682563,0.000163743,0.0005846245,0.001171124,0.0003560216],"domain_scores_gemma":[0.9979473,0.0005215181,0.0001015482,0.0006565348,0.0006887233,0.00008438781],"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":[0.00029538,0.0001774404,0.00110882,0.0009242836,0.0001277961,0.0003246584,0.0001416004,0.01970186,0.005676183,0.03715803,0.3310191,0.6033448],"study_design_scores_gemma":[0.0001844246,0.0002641484,0.0009533236,0.000175967,0.0001274843,0.001777946,0.0002028317,0.2958024,0.01487892,0.09511133,0.590377,0.0001442747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.007282335,0.004281903,0.7940867,0.001731323,0.001440516,0.0009553001,0.01446663,0.06670347,0.1090519],"genre_scores_gemma":[0.1606682,0.00420283,0.6493951,0.003138613,0.0009063479,0.001419067,0.05955444,0.009526636,0.1111887],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08344053,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379832225572686,"score_gpt":0.252434260286498,"score_spread":0.2286359380307711,"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."}}