{"id":"W1583582681","doi":"10.1111/j.1467-985x.2012.01045_8.x","title":"Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences","year":2012,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Statistical Methods and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multivariable calculus; Multivariate statistics; Multivariate analysis; Mathematics; Computer science; Econometrics; Statistics; Engineering; Control engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.002932428,0.0002325026,0.0005377335,0.00002493659,0.000883354,0.0001427292,0.0004363739,0.000132177,0.00006126278],"category_scores_gemma":[0.00213534,0.0001331623,0.000421839,0.0006247533,0.0008431706,0.0001480362,0.0001914372,0.0005181736,4.429267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000130314,"about_ca_system_score_gemma":0.0001008413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001507801,"about_ca_topic_score_gemma":0.00002945597,"domain_scores_codex":[0.9976403,0.0001911165,0.0008670394,0.0002144577,0.0005302199,0.000556915],"domain_scores_gemma":[0.9899757,0.008898861,0.000453092,0.0002283964,0.0002716816,0.0001722807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005465526,0.0004048838,0.007087359,0.0001221649,0.0007639016,7.936548e-7,0.003435092,0.006633392,0.00005300351,0.9707711,0.007587195,0.003086416],"study_design_scores_gemma":[0.0006105521,0.0001054848,0.006024193,0.00003283612,0.001725044,0.000007103769,0.003596494,0.6404697,0.00001711785,0.3462826,0.0009107257,0.0002180758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005464421,0.00031749,0.9920773,0.0006786337,0.0002570711,0.0003896077,0.0007690066,0.0000100509,0.00003641794],"genre_scores_gemma":[0.19294,0.00008161116,0.8064591,0.0001452694,0.000179493,0.00003971796,0.000003384194,0.00002145796,0.0001299822],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6338363,"threshold_uncertainty_score":0.6794134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255372416974175,"score_gpt":0.4225670179681305,"score_spread":0.2970297762707129,"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."}}