{"id":"W4407051565","doi":"10.1016/j.exco.2025.100176","title":"Asymptotic behavior of the empirical checkerboard copula process for binary data: An educational presentation","year":2025,"lang":"en","type":"article","venue":"Examples and Counterexamples","topic":"Probability and Risk Models","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Checkerboard; Copula (linguistics); Binary number; Presentation (obstetrics); Computer science; Econometrics; Mathematics; Medicine; Geometry; Arithmetic","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006865413,0.0005904312,0.0007370674,0.001348773,0.0006162332,0.001828083,0.001047551,0.001099498,0.01038971],"category_scores_gemma":[0.08303095,0.0002985456,0.0008553402,0.00111755,0.001993224,0.002625853,0.002120619,0.003173476,0.001243117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195037,"about_ca_system_score_gemma":0.0006985985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00230992,"about_ca_topic_score_gemma":0.00119192,"domain_scores_codex":[0.9981803,0.001025794,0.00006772587,0.0002488082,0.0003812424,0.00009618024],"domain_scores_gemma":[0.968325,0.02659572,0.001053698,0.001904627,0.001680978,0.0004400483],"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":[0.00009955663,0.0001143122,0.005287035,0.0002068253,0.00004650412,0.0007246019,0.0009255751,0.03692403,0.001551284,0.881685,0.01111931,0.06131604],"study_design_scores_gemma":[0.00002503603,0.00007340121,0.004605555,0.0001442504,0.00002568475,0.000465476,0.0002096014,0.4714942,0.001087265,0.5148351,0.006980769,0.00005376522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08303025,0.00214044,0.8750975,0.005358004,0.0002837504,0.00007985782,0.0002350723,0.0007284328,0.03304664],"genre_scores_gemma":[0.8474804,0.001704129,0.1332296,0.001026431,0.0005503208,0.0002510137,0.0004287808,0.0003883644,0.01494101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01038971,"threshold_uncertainty_score":0.03630823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4781154526876951,"score_gpt":0.5110413644647182,"score_spread":0.03292591177702309,"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."}}