{"id":"W4246977890","doi":"10.1002/9780471773757.indauth","title":"Authors Index","year":2005,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Index (typography); Citation; Computer science; Series (stratigraphy); Library science; Information retrieval; Combinatorics; Mathematics; World Wide Web","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":[0.000294751,0.0002437803,0.0003149349,0.0001161223,0.00004657734,0.000132174,0.0004687408,0.0003049884,0.0002211988],"category_scores_gemma":[0.0001263627,0.0002391847,0.00001927203,0.0001716461,0.0002592133,0.0001381691,0.0002277336,0.0003652932,0.00001756714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003951043,"about_ca_system_score_gemma":0.0001328083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001889806,"about_ca_topic_score_gemma":0.00155873,"domain_scores_codex":[0.9985846,0.0001004138,0.0003052453,0.0005331041,0.0001979282,0.0002787698],"domain_scores_gemma":[0.9991336,0.00006287047,0.0001127511,0.0005505833,0.00003686397,0.0001033054],"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":[0.000007874311,0.00006717891,0.001041209,0.0002400927,0.00001223159,0.00001730052,0.0004272001,0.00005522526,4.269011e-7,0.7412725,0.06601168,0.1908471],"study_design_scores_gemma":[0.0002814349,0.0001532598,0.0009819129,0.0006103474,0.00001157226,0.00002525003,0.00001971714,0.04467569,0.000002827008,0.557354,0.3951124,0.0007715207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001022946,0.0008887853,0.9409606,0.0002553794,0.0003592827,0.0002186807,0.0001811318,0.0002083625,0.05691756],"genre_scores_gemma":[0.001437636,0.001532082,0.8449302,0.0001551614,0.0001292247,0.00003718538,0.00002767845,0.00009235096,0.1516585],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3291008,"threshold_uncertainty_score":0.9753667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603067103878423,"score_gpt":0.25015685037182,"score_spread":0.2341261793330358,"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."}}