{"id":"W2807355199","doi":"10.5539/ijsp.v7n4p27","title":"Extended Marginal Homogeneity Model Based on Complementary Log-Log Transform for Square Tables","year":2018,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contingency table; Mathematics; Homogeneity (statistics); Extension (predicate logic); Statistics; Logit; Log-linear model; Square (algebra); Column (typography); Econometrics; Combinatorics; Computer science; Linear model; Geometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001082119,0.0001498319,0.0002830808,0.00008181533,0.0001049981,0.00006533429,0.0002462066,0.00004883882,0.0002896921],"category_scores_gemma":[0.001068626,0.0001181868,0.00007449346,0.00004061322,0.0002478291,0.00007898043,0.00002502695,0.0001436548,7.115076e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009277883,"about_ca_system_score_gemma":0.000156746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001517199,"about_ca_topic_score_gemma":0.00005824674,"domain_scores_codex":[0.9984853,0.00008193854,0.0006100687,0.0001884364,0.0004543431,0.0001798588],"domain_scores_gemma":[0.996609,0.001666806,0.000280618,0.0001219629,0.001204351,0.0001172893],"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":[0.001266157,0.0005276582,0.001042067,0.0001887496,0.0001032815,0.0000105238,0.00014728,0.00005554099,0.00008228881,0.8213582,0.002727469,0.1724908],"study_design_scores_gemma":[0.001031489,0.0008647287,0.003133695,0.00008024849,0.00005492459,0.00001644376,0.00001902233,0.107125,0.0004270032,0.8867256,0.0004044887,0.0001173052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005802828,0.00001007231,0.9874759,0.0009389403,0.0002875123,0.0002698584,0.004830278,0.000006723575,0.000377832],"genre_scores_gemma":[0.2825993,0.000008445129,0.7170105,0.0001863069,0.0001451771,0.000008241629,0.00002446763,0.000008700974,0.000008838843],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2767965,"threshold_uncertainty_score":0.4819517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07488447368805586,"score_gpt":0.3873942109845706,"score_spread":0.3125097372965147,"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."}}