{"id":"W1586532254","doi":"10.1161/circoutcomes.7.suppl_1.341","title":"Abstract 341: Optimizing Cardiovascular Disease Research in Women","year":2014,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Disease; Polycystic ovary; Pregnancy; Population; Reproductive health; Family medicine; Obesity; Internal medicine; Environmental health","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":[0.01325989,0.0002312615,0.001031989,0.0003679424,0.0002499521,0.00006549706,0.0001103324,0.0001896805,0.00002689939],"category_scores_gemma":[0.0009268852,0.0002164525,0.001035364,0.0004697743,0.0001464361,0.0001666322,0.00007351732,0.0005036106,0.00002650102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954097,"about_ca_system_score_gemma":0.000136146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00061106,"about_ca_topic_score_gemma":0.00000521589,"domain_scores_codex":[0.9952603,0.001157387,0.0006078085,0.0008095923,0.001527368,0.0006375521],"domain_scores_gemma":[0.9971876,0.0004544577,0.00004685534,0.001544622,0.0002508325,0.0005156597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001940289,0.0001293797,0.7099461,0.002287149,0.003115115,0.0001164735,0.002453612,0.01320526,0.00003042214,0.001967493,0.00001960327,0.2665354],"study_design_scores_gemma":[0.002106087,0.00001919298,0.97988,0.0001087386,0.0001358141,0.0000137247,0.001226394,0.0005056477,0.000009427365,0.001955708,0.01380047,0.0002387589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789423,0.01541888,0.001661733,0.001490078,0.0002318506,0.0007921515,0.00000713769,0.00009505443,0.00136082],"genre_scores_gemma":[0.9982073,0.000471279,0.0002680547,0.0005905196,0.0002627019,0.0001074819,0.00003349206,0.00003426085,0.0000249337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2699339,"threshold_uncertainty_score":0.8826675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2296240830849123,"score_gpt":0.4167920605254603,"score_spread":0.187167977440548,"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."}}