{"id":"W2140621159","doi":"10.1002/cjs.10008","title":"Three enigmatic examples and inference from likelihood","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frequentist inference; Inference; Context (archaeology); Likelihood function; Generality; Statistical inference; Bayes' theorem; Bayesian probability; Computer science; Econometrics; Bayesian inference; Bayes factor; Simple (philosophy); Statistics; Maximum likelihood; Artificial intelligence; Mathematics; Epistemology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02731464,0.0009761049,0.001371294,0.003383074,0.003642846,0.0047652,0.003456868,0.006647058,0.004031256],"category_scores_gemma":[0.1322223,0.001038923,0.0009890194,0.003963599,0.02527924,0.01188849,0.004102492,0.01034671,0.0009718965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003983202,"about_ca_system_score_gemma":0.001853669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005180469,"about_ca_topic_score_gemma":0.004075672,"domain_scores_codex":[0.9751449,0.01836443,0.0009139637,0.001392614,0.003770832,0.0004132755],"domain_scores_gemma":[0.8980425,0.08846251,0.002517965,0.006286733,0.003988018,0.0007022831],"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":[0.00001809809,0.000005842298,0.0002983072,0.00006277314,0.00001129217,0.0001230955,0.0005332837,0.002385832,0.00002564536,0.9807277,0.00528623,0.010522],"study_design_scores_gemma":[0.000006145382,0.000001953146,0.00008197954,0.00003693022,0.000002354235,0.000119371,0.00006609908,0.005007148,0.0000441232,0.9884266,0.006195793,0.00001143017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01127576,0.009096359,0.8748828,0.07607468,0.0005698806,0.00006151014,0.0002388672,0.000329369,0.02747086],"genre_scores_gemma":[0.4279796,0.008475868,0.5427107,0.009636547,0.002051913,0.0003288227,0.0002887276,0.0004200787,0.0081077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02731464,"threshold_uncertainty_score":0.1444553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05946397029883391,"score_gpt":0.3178455296177027,"score_spread":0.2583815593188687,"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."}}