{"id":"W2799669366","doi":"10.1002/sta4.182","title":"Composite likelihood model comparison test under fixed and local alternatives","year":2018,"lang":"en","type":"article","venue":"Stat","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Statistics; Statistic; Mathematics; Quasi-maximum likelihood; Test statistic; Variance (accounting); Likelihood-ratio test; Term (time); Econometrics; Maximum likelihood; Statistical hypothesis testing; Likelihood function; Economics","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":[0.03686006,0.001759925,0.003279784,0.004120664,0.001204437,0.003748393,0.00385173,0.002586238,0.008331549],"category_scores_gemma":[0.168377,0.0005583463,0.003357276,0.003249701,0.003591069,0.00623723,0.005618339,0.004739461,0.001231856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441031,"about_ca_system_score_gemma":0.002643414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006852981,"about_ca_topic_score_gemma":0.0006101342,"domain_scores_codex":[0.9478271,0.03879996,0.001180211,0.004748464,0.006568678,0.0008756394],"domain_scores_gemma":[0.8170152,0.1624812,0.007081342,0.007713079,0.004174453,0.00153471],"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":[0.002614112,0.0007636754,0.04979465,0.001593963,0.003390784,0.00207283,0.001474489,0.2139114,0.006379844,0.4068749,0.005147418,0.3059819],"study_design_scores_gemma":[0.0003222652,0.001749738,0.01079761,0.0002011833,0.0005520779,0.0009024516,0.0005237159,0.6793635,0.003895887,0.2977254,0.00372959,0.0002365849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0427747,0.0005324669,0.9517019,0.0002912563,0.00007323749,0.0002111253,0.000262264,0.0004470018,0.0037059],"genre_scores_gemma":[0.6792228,0.0003761062,0.31616,0.0002855252,0.0001605994,0.001002427,0.0009450107,0.0002554861,0.001592157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03686006,"threshold_uncertainty_score":0.194937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08165090428600909,"score_gpt":0.4005441230844979,"score_spread":0.3188932187984888,"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."}}