{"id":"W7100157343","doi":"","title":"LSAC RESEARCH REPORT SERIES � Bayesian Estimation Methods for Multidimensional Models for Discrete and Continuous Responses","year":2006,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Discretion; Accreditation; Estimation; Series (stratigraphy); Common law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005087067,0.0001604548,0.0003672527,0.0001163285,0.0003157191,0.00007225783,0.00007100734,0.0001138928,0.00002996965],"category_scores_gemma":[0.01090287,0.0001241986,0.00006874004,0.000112771,0.0002225642,0.0001999373,0.00005623341,0.0001088975,3.079777e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002929276,"about_ca_system_score_gemma":0.00007255309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007443043,"about_ca_topic_score_gemma":0.00002674553,"domain_scores_codex":[0.9979825,0.0004693103,0.0005391125,0.0004041719,0.0002311702,0.000373717],"domain_scores_gemma":[0.982474,0.01652333,0.0001204238,0.0002755522,0.0005201889,0.00008653321],"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":[0.0003912096,0.00004425062,0.00001830036,0.000145892,0.00001449102,0.000006757098,0.00005872949,0.000008064655,0.001872806,0.9486196,0.002317573,0.0465023],"study_design_scores_gemma":[0.000354267,0.000184598,0.00009903483,0.00003765742,0.00002765883,0.00006228974,0.00007778728,0.2284437,0.004938939,0.7648135,0.000823242,0.0001372953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007155152,0.00005360832,0.9955578,0.0006826321,0.00007020561,0.001199935,0.00009494217,0.00007489082,0.001550423],"genre_scores_gemma":[0.006708279,0.0000026929,0.9882823,0.000020773,0.0000676057,0.0004278675,0.00003048842,0.00003233416,0.004427695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2284357,"threshold_uncertainty_score":0.9974287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594179585823253,"score_gpt":0.5168481947270754,"score_spread":0.3574302361447501,"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."}}