{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002379093,0.001486374,0.001261242,0.005336727,0.0008927275,0.002586967,0.002064996,0.001923595,0.7922162],"category_scores_gemma":[0.03949445,0.001051962,0.0007526395,0.005476716,0.0004884979,0.003094595,0.00123346,0.002236544,0.5361551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002002,"about_ca_system_score_gemma":0.002570473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007068589,"about_ca_topic_score_gemma":0.005766391,"domain_scores_codex":[0.9978039,0.0006400213,0.0002325734,0.0003136217,0.0009217124,0.00008824391],"domain_scores_gemma":[0.9575912,0.02649616,0.001214331,0.002850838,0.01138444,0.0004630217],"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":[0.00003637107,0.00005729278,0.0002488324,0.0001980697,0.000008120824,0.00004302722,0.00001774262,0.001993119,0.0000587906,0.008490354,0.9541248,0.03472341],"study_design_scores_gemma":[0.0001232553,0.00004141237,0.00140738,0.0004151162,0.00002132289,0.0003106319,0.00007425498,0.006735567,0.0003764506,0.05222199,0.9382075,0.00006502306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001171096,0.0008568288,0.1164394,0.00290401,0.001666795,0.002056958,0.5853666,0.01099832,0.2785399],"genre_scores_gemma":[0.02158913,0.002695455,0.189903,0.003744755,0.001848658,0.006464092,0.4277704,0.009833838,0.3361506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7922162,"threshold_uncertainty_score":0.2963783,"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."}}