{"id":"W1652051940","doi":"10.1093/acprof:oso/9780199560561.003.0014","title":"Decisions, Decisions, Decisions: Can Savage Salvage Everettian Probability?","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Philosophy and History of Science","field":"Arts and Humanities","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique","keywords":"Argument (complex analysis); Analogy; Odds; Decision theory; Epistemology; Object (grammar); Mathematical economics; Philosophy; Mathematics; Logistic regression; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001003786,0.0009464278,0.001005353,0.000754478,0.002488127,0.0006065459,0.001973882,0.0007302879,0.04298725],"category_scores_gemma":[0.001344113,0.0007652202,0.0006762315,0.0000461971,0.002704717,0.0005853057,0.0005139149,0.00178169,0.003905573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002859413,"about_ca_system_score_gemma":0.0005890356,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002434804,"about_ca_topic_score_gemma":0.01909848,"domain_scores_codex":[0.99477,0.00005118708,0.00128766,0.001555265,0.001616752,0.0007191308],"domain_scores_gemma":[0.9941913,0.001890768,0.0004839886,0.002203807,0.0005577187,0.0006723556],"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":[0.00003858213,0.00007889234,0.000001666835,0.000007817943,0.00003803486,0.00006051092,0.002170035,4.756027e-7,0.0000288244,0.9133628,0.05435897,0.02985337],"study_design_scores_gemma":[0.0001669506,0.0001011234,0.00001038765,0.0003126042,0.00005004103,0.00001309817,0.00008532432,0.000002278447,0.000006947151,0.4497504,0.5489207,0.0005801594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002824378,0.001531363,0.0001179844,0.001894119,0.003385288,0.0008993574,0.0006322157,0.0003425381,0.9909147],"genre_scores_gemma":[0.01536303,0.0008535758,0.005107646,0.003137137,0.002094371,0.00004902996,0.0001618123,0.0001618758,0.9730715],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4945617,"threshold_uncertainty_score":0.9994799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0963369858678904,"score_gpt":0.2398839185439587,"score_spread":0.1435469326760683,"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."}}