{"id":"W2159545104","doi":"10.1145/1553374.1553513","title":"BoltzRank","year":2009,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pairwise comparison; Ranking (information retrieval); Computer science; Set (abstract data type); Rank (graph theory); Relevance (law); ENCODE; Function (biology); Information retrieval; Learning to rank; Measure (data warehouse); Data mining; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006862268,0.00002400639,0.00002504146,0.00002965452,0.00003640928,0.00007091826,0.0002512056,0.00001120463,0.00007425474],"category_scores_gemma":[0.000005071455,0.00001731143,0.00001644563,0.0001403573,0.000003743026,0.0004283729,0.00001843758,0.0000293473,0.0004442063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005051906,"about_ca_system_score_gemma":0.00001272682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001430367,"about_ca_topic_score_gemma":1.00691e-7,"domain_scores_codex":[0.9996791,0.000004148259,0.00005781887,0.00004648346,0.000122654,0.00008975113],"domain_scores_gemma":[0.9997873,0.00000469887,0.00000744396,0.0001330223,0.00002917947,0.00003839867],"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":[6.757047e-7,0.00001442593,0.00004413369,3.274442e-7,3.203763e-7,0.000002419094,0.0001329443,0.000001739918,0.0003962794,0.7011703,0.003826562,0.2944099],"study_design_scores_gemma":[0.001535423,0.001010065,0.2897743,0.00001120808,0.000004031976,0.00009015264,0.00006896102,0.1449968,0.08315761,0.06345244,0.4150506,0.0008484102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009796324,0.000006624486,0.7852288,0.004169064,0.0000812635,0.00005038541,1.232202e-7,0.0002330069,0.2004344],"genre_scores_gemma":[0.9665822,0.000001806234,0.02633506,0.003163403,0.00001422766,5.620066e-7,3.981199e-7,4.222214e-7,0.003901916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9567859,"threshold_uncertainty_score":0.5709522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179954817276005,"score_gpt":0.254509222366211,"score_spread":0.242709674193451,"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."}}