{"id":"W39452917","doi":"10.3390/metabo14100536","title":"Primary and secondary prevention of cardiovascular disease in Australian women [Invited speaker]","year":2010,"lang":"en","type":"article","venue":"Metabolites","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada","keywords":"Medicine; Primary prevention; Disease; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005396081,0.000101245,0.0003672029,0.000140776,0.00001958141,0.000006799771,0.00004398947,0.00006834824,0.0001426832],"category_scores_gemma":[0.00009949155,0.00008966152,0.0001106468,0.0001774222,0.00006773778,0.00007238637,0.00002670839,0.0002380953,0.000002811768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001690568,"about_ca_system_score_gemma":0.00008957981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000150074,"about_ca_topic_score_gemma":0.00001039905,"domain_scores_codex":[0.9990172,0.00007346391,0.000243051,0.0002475423,0.0002048813,0.0002139002],"domain_scores_gemma":[0.9992529,0.00002896909,0.00003688785,0.0004071168,0.00005217244,0.0002219392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000330675,0.0003119913,0.6726714,0.002423153,0.0005855366,0.00008152414,0.002687423,0.00000723173,0.0209333,0.0003059697,0.0001857685,0.299476],"study_design_scores_gemma":[0.00103546,0.00004445318,0.9067548,0.00003728044,0.0001282836,0.000009142426,0.0002520308,0.0000116987,0.002028116,0.0007587015,0.08886091,0.00007911296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885332,0.0101736,0.000003520717,0.0004673575,0.0001492062,0.0003288676,0.00002535791,0.00001904706,0.0002998342],"genre_scores_gemma":[0.9978997,0.0003076599,0.000844437,0.0002285951,0.0001399176,0.00003263871,0.00006118831,0.00001325212,0.0004726659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2993969,"threshold_uncertainty_score":0.3656291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261679297435089,"score_gpt":0.2874156648595417,"score_spread":0.2612477351160328,"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."}}