{"id":"W2083828359","doi":"10.1016/j.stamet.2013.06.002","title":"Partial or complete characterization of a bivariate distribution based on one conditional distribution and partial specification of the mode function of the other conditional distribution","year":2013,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Joint probability distribution; Bivariate analysis; Conditional probability distribution; Marginal distribution; Distribution (mathematics); Normal-gamma distribution; Discrete mathematics; Statistics; Combinatorics; Random variable; Mathematical analysis; Asymptotic distribution","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":[0.0007421422,0.0002020128,0.0004279834,0.00003657784,0.0002225101,0.00001713599,0.0001773098,0.0001855033,0.001024666],"category_scores_gemma":[0.004874506,0.0001376774,0.0001032594,0.0004226466,0.001067058,0.00009195357,0.00005722182,0.0002189803,0.0000109349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028112,"about_ca_system_score_gemma":0.0001090817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007748073,"about_ca_topic_score_gemma":0.000007396071,"domain_scores_codex":[0.9967187,0.001114685,0.001051356,0.0003224733,0.0005464664,0.0002463227],"domain_scores_gemma":[0.9941235,0.003908886,0.0008950697,0.0003832092,0.000596742,0.00009264475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003877679,0.0004154619,0.0003251379,0.0001099608,0.00004095844,8.671413e-8,0.00002078389,0.0000815042,0.02934373,0.9676343,0.0005367398,0.00110354],"study_design_scores_gemma":[0.001009127,0.0002227584,0.552023,0.00007249093,0.0002235845,0.000003968153,0.0000280793,0.08162318,0.02067263,0.3433021,0.0006533136,0.0001657296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0413668,0.000001173003,0.8992788,0.00113142,0.0001640592,0.0008471439,0.05715848,0.00002340313,0.00002870919],"genre_scores_gemma":[0.9710338,0.000001611906,0.01146466,0.0001047678,0.00007112711,0.0001682014,0.01712165,0.000014164,0.00002006037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9296669,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2230106203412726,"score_gpt":0.3902448785014876,"score_spread":0.1672342581602151,"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."}}