{"id":"W2624333098","doi":"10.1161/circoutcomes.4.suppl_2.ap190","title":"Abstract P190: Do We Combine the Data for Analysis from VENUS and MARS? The Time Has Come for Consistent Sex-Based Analysis of Health Outcome Data","year":2011,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Bivariate analysis; Medicine; Depression (economics); Demography; Multivariate analysis; Descriptive statistics; Clinical psychology; Psychology; Statistics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2660966,0.001297165,0.004310685,0.008994881,0.002340441,0.0085064,0.005979539,0.002510192,0.007678196],"category_scores_gemma":[0.5526636,0.00114306,0.002806983,0.01334055,0.0035846,0.01023383,0.004731332,0.007308148,0.003867698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288161,"about_ca_system_score_gemma":0.004617019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004771874,"about_ca_topic_score_gemma":0.004557115,"domain_scores_codex":[0.7567731,0.1887499,0.02062403,0.005714019,0.02558315,0.002555789],"domain_scores_gemma":[0.5001862,0.3082097,0.0408588,0.08402409,0.05917647,0.007544774],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001935279,0.0002624059,0.3996866,0.002710746,0.005068979,0.0007857517,0.003750721,0.001558481,0.0008400079,0.0126439,0.2350976,0.3356595],"study_design_scores_gemma":[0.0007567149,0.003108271,0.4729627,0.02651872,0.003177046,0.003655771,0.01819983,0.02801413,0.003025627,0.1152685,0.3242818,0.001030825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1738197,0.03891823,0.3858645,0.3047009,0.04685506,0.004248615,0.01924433,0.005792854,0.02055574],"genre_scores_gemma":[0.6480251,0.008368199,0.2597,0.04556873,0.01687267,0.004243153,0.008998815,0.005273933,0.002949375],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7339034,"threshold_uncertainty_score":0.9050336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7241747100474089,"score_gpt":0.4639208346712616,"score_spread":0.2602538753761472,"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."}}