{"id":"W4236852595","doi":"10.1007/978-1-4939-7131-2_100914","title":"Probability Distributions","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics","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":[0.001586757,0.001463065,0.001076345,0.002746247,0.00100204,0.004582853,0.0016782,0.002018336,0.06240864],"category_scores_gemma":[0.007053298,0.000840307,0.0009433698,0.002377193,0.001963765,0.005202984,0.002281488,0.003229525,0.03599869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279567,"about_ca_system_score_gemma":0.001186664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130322,"about_ca_topic_score_gemma":0.0008198575,"domain_scores_codex":[0.9980696,0.0004491584,0.00008530397,0.0004338259,0.0008787623,0.000083423],"domain_scores_gemma":[0.9984692,0.0007289492,0.00005317687,0.000339675,0.0003547223,0.00005432393],"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":[0.00001092797,0.00002222062,0.0000749282,0.0001101112,0.00001416211,0.00003626305,0.0001035401,0.003137264,0.0004925331,0.8463607,0.03672702,0.1129104],"study_design_scores_gemma":[0.000005475856,0.00000823029,0.00009816621,0.00008824328,0.00001205224,0.0001712938,0.00003851837,0.0118081,0.000706219,0.7590656,0.2279785,0.00001959796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0009334714,0.003692321,0.7364306,0.001836517,0.0008440903,0.0001047647,0.000773738,0.001076008,0.2543083],"genre_scores_gemma":[0.08008789,0.01624327,0.3742,0.002070073,0.002377904,0.000798155,0.003821502,0.002038036,0.5183632],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06240864,"threshold_uncertainty_score":0.2087777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04808679159076895,"score_gpt":0.2668529599192561,"score_spread":0.2187661683284871,"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."}}