{"id":"W4211201089","doi":"10.1002/9780470391341.refs","title":"References","year":2008,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002530402,0.0002240114,0.0003638469,0.00009759756,0.00005174769,0.00006407552,0.0004122519,0.0002369412,0.00008946892],"category_scores_gemma":[0.000132916,0.0001974937,0.00001980773,0.0001527745,0.0003257752,0.0001120428,0.0001948226,0.0002491136,0.000006089032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002182318,"about_ca_system_score_gemma":0.0001156129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540282,"about_ca_topic_score_gemma":0.0009636172,"domain_scores_codex":[0.9986517,0.0001850624,0.0002542228,0.0005114544,0.0001667082,0.0002308327],"domain_scores_gemma":[0.9991427,0.0001023774,0.0001107334,0.0005404337,0.00002903908,0.00007473389],"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":[0.000004366597,0.000031744,0.000146214,0.0001759269,0.000007801964,0.00002852598,0.0003675485,2.978354e-7,2.959657e-7,0.7349502,0.1261913,0.1380958],"study_design_scores_gemma":[0.0001107591,0.00008363827,0.0001588353,0.0001898687,0.000004338749,0.00002768102,0.000003863881,0.0004987325,0.000002511385,0.691921,0.3067232,0.0002755605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000002126767,0.001801912,0.8635464,0.0001062682,0.000301083,0.0002219543,0.0001691404,0.0001042723,0.1337468],"genre_scores_gemma":[0.00001849499,0.006561361,0.9081045,0.0000746567,0.00005004372,0.0000223259,0.00001465643,0.00004391054,0.08511005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1805319,"threshold_uncertainty_score":0.8053559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313419758117689,"score_gpt":0.2551284659753957,"score_spread":0.2319942683942188,"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."}}