{"id":"W2025324018","doi":"10.4236/ojs.2014.43018","title":"Theoretical Properties of Composite Likelihoods","year":2014,"lang":"en","type":"article","venue":"Open Journal of Statistics","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Quasi-maximum likelihood; Inference; Principle of maximum entropy; Composite number; Mathematics; Kullback–Leibler divergence; Entropy (arrow of time); Maximum likelihood; Applied mathematics; Projection (relational algebra); Statistical physics; Computer science; Algorithm; Statistics; Likelihood function; Artificial intelligence; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003331918,0.00008859373,0.0003011163,0.00002831061,0.00004659545,0.00007660191,0.000345629,0.00001667516,0.001070519],"category_scores_gemma":[0.00006925322,0.00006322165,0.0000430213,0.00004845779,0.0001097736,0.0000706685,0.00009842227,0.0001394056,0.00001082562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006768144,"about_ca_system_score_gemma":0.00005034963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001914886,"about_ca_topic_score_gemma":1.166154e-7,"domain_scores_codex":[0.9990832,0.00007812916,0.0004346054,0.00006905838,0.0001995832,0.0001354658],"domain_scores_gemma":[0.9990712,0.0001421618,0.0002924536,0.0001091066,0.0002750764,0.0001099406],"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":[0.00007019768,0.0001004709,0.0005277184,0.00001457863,0.00005473585,0.000001966445,0.0000739089,0.00001552098,0.001670581,0.96527,0.001180559,0.03101972],"study_design_scores_gemma":[0.001352332,0.0007329232,0.0006481583,0.0002147759,0.0001399028,0.00001029087,0.000215178,0.02548025,0.01130152,0.9572912,0.002424502,0.0001889593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01616796,0.00002317279,0.9745971,0.0001193182,0.0002050109,0.00007934863,0.0001375026,0.000001248539,0.008669365],"genre_scores_gemma":[0.9138345,0.000003909896,0.08593911,0.00003816972,0.0001298743,9.880371e-7,0.000003923817,0.00001093702,0.000038562],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8976666,"threshold_uncertainty_score":0.9998426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361788808502547,"score_gpt":0.2593433638503005,"score_spread":0.2457254757652751,"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."}}