{"id":"W4387566506","doi":"10.1017/9781316718636.007","title":"Bayesian Answers","year":2023,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bayesian probability; Computer science; 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":[0.007603574,0.001352741,0.001321484,0.002787079,0.003221316,0.007125182,0.002888636,0.007138378,0.1388451],"category_scores_gemma":[0.05044574,0.001020436,0.001647577,0.002771887,0.003639563,0.01757007,0.006000168,0.006228667,0.03735611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003018269,"about_ca_system_score_gemma":0.002758219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003066681,"about_ca_topic_score_gemma":0.002473116,"domain_scores_codex":[0.9921927,0.002959263,0.0005563257,0.001355151,0.002470158,0.0004664181],"domain_scores_gemma":[0.9881896,0.007136645,0.0004590652,0.001499858,0.002441771,0.0002730332],"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":[0.00002492924,0.00001593118,0.0001518311,0.0001650482,0.00001494422,0.00006456369,0.0004033467,0.0005754167,0.00008178929,0.8830301,0.07756793,0.03790415],"study_design_scores_gemma":[0.00001362276,0.000004777798,0.00005599987,0.0001288542,0.000008199305,0.00009925717,0.0002074658,0.001322013,0.0001064519,0.7748085,0.2232302,0.00001460823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002120925,0.008740734,0.3793422,0.06737458,0.004447861,0.0002820654,0.005493766,0.001615248,0.5305826],"genre_scores_gemma":[0.1697779,0.02492803,0.2999621,0.02997966,0.01084208,0.001348874,0.01689957,0.00251597,0.4437458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1388451,"threshold_uncertainty_score":0.464483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357405761270124,"score_gpt":0.2103593426846224,"score_spread":0.17461876655761,"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."}}