{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001374456,0.0004071837,0.0003784149,0.0002711864,0.0002206206,0.0001544215,0.001862577,0.000424816,0.000002028135],"category_scores_gemma":[0.000007444412,0.0004953415,0.0002384925,0.00002353906,0.0001600758,0.0001888766,0.0008500419,0.0005917524,0.0001350489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322007,"about_ca_system_score_gemma":0.0002036748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009357571,"about_ca_topic_score_gemma":0.000002263789,"domain_scores_codex":[0.9981422,0.0000352769,0.0002020694,0.0008335637,0.0003784339,0.0004084162],"domain_scores_gemma":[0.9982264,0.00007296312,0.0001716374,0.001097032,0.0001580011,0.0002739345],"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":[0.000007278296,0.000003429702,2.719574e-7,0.00003086613,0.0000606293,0.0004388912,0.00004220312,0.00001704515,0.00001092969,0.9592956,0.03451743,0.005575425],"study_design_scores_gemma":[0.0003743982,0.00007963558,0.000004930193,0.0002784275,0.00009249189,0.00002682367,0.00001291982,0.0179001,0.0001369697,0.0007347836,0.9793649,0.0009935878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001588035,0.00002914031,0.3148277,0.0000489671,0.0003838117,0.0001345271,0.00004859626,0.0006744967,0.6838511],"genre_scores_gemma":[0.0008129428,0.0000961322,0.001821451,0.0001277524,0.00009935343,5.824791e-7,0.00001867585,0.00005029589,0.9969728],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9585608,"threshold_uncertainty_score":0.9997498,"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."}}