{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000608952,0.00009022658,0.0001271341,0.00002272972,0.0001438724,0.00003719572,0.00006931661,0.00003068944,0.0001328926],"category_scores_gemma":[0.0001181676,0.00008145451,0.00001689044,0.00007578122,0.0002814381,0.00005084227,0.00003916466,0.00006907395,0.0001158935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002884337,"about_ca_system_score_gemma":0.00001895979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007218656,"about_ca_topic_score_gemma":0.00001961359,"domain_scores_codex":[0.9993592,0.00001717296,0.0001930302,0.0001546917,0.0001299144,0.0001459901],"domain_scores_gemma":[0.9991799,0.000413341,0.00006028638,0.0001339436,0.0001109065,0.0001016177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001010447,0.0002391043,0.0004847524,0.00002266045,0.0000160027,3.818965e-7,0.0004149697,0.00007047321,0.0009649105,0.9810082,0.01182524,0.004943207],"study_design_scores_gemma":[0.0002935998,0.00004172765,0.003383089,0.00001284622,0.00001782873,0.000001807405,0.000180493,0.5802105,0.001349474,0.414133,0.0002811395,0.00009452588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02975114,0.00001209488,0.9656597,0.0006611046,0.00001994002,0.0001233389,0.0003190999,0.00007857647,0.003374988],"genre_scores_gemma":[0.9390983,0.000002786009,0.06041791,0.000196513,0.00002622928,0.00001523235,0.00004817275,0.000009383426,0.0001854452],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9093472,"threshold_uncertainty_score":0.3321618,"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."}}