{"id":"W4386637835","doi":"10.1007/978-3-031-34583-8_7","title":"Bivariate Statistics with Categorical Variables","year":2023,"lang":"en","type":"book-chapter","venue":"Springer texts in political science and international relations","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bivariate analysis; Statistics; Categorical variable; Bivariate data; Mathematics; Contingency table; Variables; Variable (mathematics); Econometrics; Continuous variable; Variance (accounting); Test (biology); Sample (material); Chi-square test","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":[0.001989477,0.0002006813,0.0002366368,0.0009043292,0.0002886191,0.0004348053,0.0009396939,0.0001664126,0.0008651078],"category_scores_gemma":[0.003586991,0.000149517,0.00003723367,0.0005316118,0.001231153,0.00030984,0.0004338227,0.0004549815,0.0007882167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003771245,"about_ca_system_score_gemma":0.000571581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001509802,"about_ca_topic_score_gemma":0.0001032678,"domain_scores_codex":[0.9962385,0.00001428316,0.0006385544,0.000740417,0.001871471,0.0004967555],"domain_scores_gemma":[0.9969358,0.001297405,0.0001849368,0.0004157758,0.0008549049,0.000311178],"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":[0.000002980233,0.00001507781,0.0006585767,0.000001114497,0.000006628075,0.000008354165,0.00002288728,0.00002861199,0.000004112745,0.9913075,0.003611164,0.004332974],"study_design_scores_gemma":[0.00008186893,0.00003482461,0.005700719,0.00005369992,0.00001106024,0.00001633059,0.00001400843,0.00642229,0.000003792541,0.9164675,0.07100979,0.0001840499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001475556,0.00001224525,0.02701047,0.004948593,0.0003029824,0.0002451812,0.0002463011,0.000103238,0.9669834],"genre_scores_gemma":[0.264672,0.00002708115,0.01710319,0.0002877551,0.0001969195,0.00004370821,0.00003190685,0.00003975538,0.7175977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2645245,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052271008789614,"score_gpt":0.3834845745304588,"score_spread":0.2782574736514974,"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."}}