{"id":"W2150812226","doi":"10.1002/9780470284704.app1","title":"Appendix A: Probability Tables","year":2008,"lang":"en","type":"other","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Appendix; Statistics; Computer science; Mathematics; Geology; Paleontology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001713755,0.0002150025,0.0002859303,0.0001045849,0.00003636173,0.00004887514,0.0009127383,0.000243641,0.002411192],"category_scores_gemma":[0.00001234503,0.0001610994,0.0000869371,0.0001655377,0.00005251506,0.00007083431,0.0002310258,0.000149866,0.0007336554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001819167,"about_ca_system_score_gemma":0.000101812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269405,"about_ca_topic_score_gemma":0.00007850299,"domain_scores_codex":[0.9987835,0.00008607388,0.000138558,0.0005522384,0.0001896044,0.0002499759],"domain_scores_gemma":[0.9987735,0.00002270516,0.00008335854,0.001015621,0.00001620837,0.00008856919],"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":[1.791387e-7,0.00002021539,0.000003724583,0.00002048053,0.000008844823,0.000007262232,0.00001698333,6.692604e-8,0.000001737503,0.2175521,0.7447542,0.0376142],"study_design_scores_gemma":[0.00006637724,0.00001159614,0.000003075054,0.00002634353,0.000002643083,0.00002050776,1.718387e-7,0.0003408845,0.00003839811,0.04484482,0.9544289,0.0002162525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[3.151118e-8,0.0004097404,0.5073488,0.00008960575,0.0001922413,0.0001362266,0.00000328308,0.0003315335,0.4914885],"genre_scores_gemma":[8.863805e-7,0.00009336929,0.5091609,0.0001428813,0.00009332033,0.00000844371,0.000003655244,0.0000575145,0.490439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2096748,"threshold_uncertainty_score":0.9985008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332738022504225,"score_gpt":0.2572862195845337,"score_spread":0.2339588393594914,"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."}}