{"id":"W2733427969","doi":"10.1097/ede.0000000000000706","title":"Re","year":2017,"lang":"war","type":"letter","venue":"Epidemiology","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Proposition; Bayes' theorem; Belief revision; Mistake; Epistemology; Set (abstract data type); Point (geometry); Mathematical economics; Computer science; Psychology; Mathematics; Philosophy; Artificial intelligence; Bayesian probability; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001844248,0.0009730676,0.0008397043,0.001130247,0.001677547,0.006321169,0.00254395,0.008931866,0.4000273],"category_scores_gemma":[0.01452291,0.0004365108,0.0008001705,0.0006604538,0.001023567,0.003159067,0.001994114,0.006406428,0.3078132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548586,"about_ca_system_score_gemma":0.002004738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511355,"about_ca_topic_score_gemma":0.002058263,"domain_scores_codex":[0.9981954,0.000327318,0.0001982378,0.0003887106,0.0006571183,0.000233299],"domain_scores_gemma":[0.9951527,0.001041432,0.0003829795,0.0006084359,0.001995772,0.000818724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002967079,0.00001180589,0.00006593227,0.00007047677,0.000004589956,0.0001426049,0.00001902449,0.00001372128,0.00007672078,0.001064814,0.9783604,0.02014028],"study_design_scores_gemma":[0.000007700003,0.000007166501,0.00007049507,0.0000643099,0.00000293035,0.0001668061,0.00002518784,0.00002063884,0.00005320922,0.0003999674,0.9991776,0.000003937543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005788751,0.007448795,0.001863346,0.2494581,0.5865311,0.0001360756,0.001766572,0.002148061,0.150069],"genre_scores_gemma":[0.00671453,0.007138363,0.001437505,0.2710516,0.206391,0.0001539005,0.00177247,0.0008822254,0.5044584],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5999727,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1974301289661041,"score_gpt":0.3791343512485905,"score_spread":0.1817042222824864,"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."}}