{"id":"W6930027576","doi":"10.5281/zenodo.10962583","title":"Women's Advanced Risk-Assessment in Manitoba (WARM) Hearts","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Alliance; Expert system; Work (physics); Plan (archaeology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006391369,0.0001977976,0.00008154887,0.0009352682,0.001148136,0.0005433836,0.0006261736,0.0002904553,0.01803015],"category_scores_gemma":[0.0007951792,0.0001538919,0.0001472825,0.001514588,0.0002140895,0.0002077276,0.001021888,0.0004043535,0.00228157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005130226,"about_ca_system_score_gemma":0.01568135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8809085,"about_ca_topic_score_gemma":0.9548182,"domain_scores_codex":[0.9998964,0.00002138914,0.000003473024,0.00001321258,0.00003332184,0.00003218718],"domain_scores_gemma":[0.9996819,0.00003637934,0.000009922347,0.00001606727,0.0001203642,0.0001354123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001228618,0.0001054136,0.05246891,0.0001798507,0.00001967787,0.0006212809,0.002462453,0.001229133,0.001028697,0.0088809,0.7394021,0.1934787],"study_design_scores_gemma":[0.00006912088,0.00004971094,0.3198072,0.0003629932,0.00002481848,0.0002131761,0.006364319,0.001545972,0.0008030387,0.002675537,0.6680509,0.00003311105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2010368,0.009082118,0.007484478,0.05068494,0.001298638,0.001221309,0.1995206,0.001521598,0.5281495],"genre_scores_gemma":[0.2441972,0.007628286,0.01777206,0.004447678,0.0001615633,0.0007686928,0.04889842,0.0004161956,0.6757099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1190915,"threshold_uncertainty_score":0.2395857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05667984112672416,"score_gpt":0.3134292878612218,"score_spread":0.2567494467344977,"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."}}