{"id":"W4401671237","doi":"10.3998/phimp.3416","title":"Resolute and Correlated Bayesians","year":2024,"lang":"en","type":"article","venue":"Philosophers Imprint","topic":"Intellectual Property Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of California, Irvine; University of Bristol; California Institute of Technology","keywords":"Computer science","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":[0.02606276,0.001132614,0.001920046,0.004467002,0.002702447,0.008548512,0.003850783,0.003951733,0.008341555],"category_scores_gemma":[0.07823436,0.001308346,0.002151629,0.002947401,0.008810797,0.01336212,0.006814516,0.006934887,0.001528599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003651669,"about_ca_system_score_gemma":0.002581169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331255,"about_ca_topic_score_gemma":0.003114964,"domain_scores_codex":[0.9740061,0.01393826,0.001203474,0.003415423,0.00653142,0.0009053159],"domain_scores_gemma":[0.9483064,0.03239227,0.004076955,0.008719588,0.005304308,0.001200571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006264086,0.000005603155,0.0001168097,0.00001988872,0.00001909315,0.00002531126,0.0001677539,0.00238117,0.00004105657,0.992299,0.000405388,0.004512655],"study_design_scores_gemma":[0.00000611882,0.000003164594,0.00005226863,0.00002040504,0.000007884342,0.00002305924,0.00002636825,0.009022533,0.00004641962,0.9888226,0.001961944,0.000007202997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0162277,0.0007689253,0.9161885,0.005706951,0.0001395709,0.0001302808,0.000281896,0.0002219841,0.0603343],"genre_scores_gemma":[0.5216469,0.001107957,0.4570623,0.001514529,0.0007463134,0.0006145763,0.0004653379,0.0001600294,0.01668206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606276,"threshold_uncertainty_score":0.1378347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681255751648383,"score_gpt":0.3259942764385447,"score_spread":0.2991817189220609,"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."}}