{"id":"W2131502529","doi":"10.1002/cjs.11159","title":"Likelihood inference in complex settings","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inference; Statistical inference; Mathematics; Econometrics; Humanities; Statistics; Philosophy; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03015436,0.001193405,0.003123249,0.004181087,0.001273585,0.004881789,0.00312533,0.002928289,0.007486935],"category_scores_gemma":[0.1671974,0.001551643,0.002070816,0.004646129,0.006306426,0.007573463,0.005440289,0.006642862,0.001046905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003207976,"about_ca_system_score_gemma":0.002547914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006349021,"about_ca_topic_score_gemma":0.004230854,"domain_scores_codex":[0.9786225,0.01635322,0.0007500013,0.001838966,0.001986183,0.0004491656],"domain_scores_gemma":[0.7843129,0.199426,0.005505094,0.006854272,0.002812886,0.001088854],"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":[0.00002246676,0.00002055876,0.001481443,0.0001630521,0.0001665076,0.0001411236,0.0001832309,0.05778606,0.00008493929,0.9201146,0.002414717,0.01742136],"study_design_scores_gemma":[0.00001019877,0.000004745488,0.0002005208,0.0000361987,0.000009490075,0.00003247242,0.00001766574,0.08785202,0.0000364355,0.9106049,0.001184372,0.00001088482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00444691,0.001347527,0.9889435,0.002356386,0.00007460722,0.00002631613,0.0001772313,0.0001018756,0.002525767],"genre_scores_gemma":[0.5011531,0.00668587,0.4809049,0.001663522,0.001391208,0.000566902,0.001069864,0.0002812231,0.006283487],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03015436,"threshold_uncertainty_score":0.1594734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08120352152605469,"score_gpt":0.3545217685082666,"score_spread":0.2733182469822119,"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."}}