{"id":"W2115854441","doi":"10.1002/cjs.11235","title":"Combined composite likelihood","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Composite number; Materials science; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000644537,0.0001160691,0.0003169473,0.0001357868,0.0001043642,0.00006446394,0.0002243286,0.00005437659,0.0004052823],"category_scores_gemma":[0.004258682,0.0001018059,0.00004267619,0.0001021117,0.0001182833,0.00003800272,0.000008220567,0.0002461653,0.00002345361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006690859,"about_ca_system_score_gemma":0.0004591873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004529815,"about_ca_topic_score_gemma":0.001754031,"domain_scores_codex":[0.9987916,0.0001444966,0.0004913911,0.00007953348,0.0001863978,0.0003065917],"domain_scores_gemma":[0.9967314,0.001603708,0.0002688929,0.0001538777,0.000435256,0.0008068783],"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":[0.00001155842,0.00002005983,0.002443685,0.00004804565,0.00003455957,0.00009247639,0.0002037177,0.000001754431,0.0001021641,0.929777,0.02961703,0.03764799],"study_design_scores_gemma":[0.0004859987,0.0003882094,0.007339475,0.00008052013,0.00006764691,0.00005592791,0.00003811422,0.0009832609,0.0001501252,0.9828655,0.007396959,0.0001482993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01105071,0.00002748925,0.9837491,0.0002517596,0.0005344684,0.00005287908,0.0002331604,0.000005942587,0.004094498],"genre_scores_gemma":[0.3386248,0.000003888339,0.660908,0.0002462656,0.0001214407,5.021457e-7,0.00000254904,0.00001667557,0.00007581944],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3275741,"threshold_uncertainty_score":0.5098348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05080023715616969,"score_gpt":0.2985299299451911,"score_spread":0.2477296927890214,"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."}}