{"id":"W7100556838","doi":"","title":"Research Article Knowledge of Signs and Symptoms of Heart Attack and Stroke among Singapore Residents","year":2016,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Signs and symptoms; Population; Heart disease; Vital signs; Heart rate","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006005605,0.000117894,0.0002144552,0.0004668171,0.0002382574,0.0005484162,0.0001844948,0.0002414067,0.007139557],"category_scores_gemma":[0.002527314,0.00008802254,0.0002274021,0.0006236198,0.0002118359,0.0005511969,0.0003493187,0.000287489,0.0005398112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003126212,"about_ca_system_score_gemma":0.0007527518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344372,"about_ca_topic_score_gemma":0.01695366,"domain_scores_codex":[0.9996049,0.00007639351,0.00007426165,0.00005725376,0.0001335179,0.0000538325],"domain_scores_gemma":[0.9985002,0.0002726663,0.0006078408,0.0000532512,0.0002744798,0.0002915306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003370757,0.00003822273,0.9954335,0.00003662826,0.00002677819,0.00008401492,0.0003934467,0.00002421391,0.0001438972,0.00001490738,0.0003418094,0.00342887],"study_design_scores_gemma":[0.000001926221,0.00005708333,0.9990178,0.00001418298,0.000007861712,0.0001442234,0.0003609403,0.00004905849,0.00003552316,0.00001115577,0.0002983415,0.000001951895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997907,0.000102161,0.00002470798,0.0001357235,0.000003732511,0.000006206431,0.0004576124,0.000001877403,0.001361047],"genre_scores_gemma":[0.9988645,0.0001011497,0.00002559675,0.00004125647,0.000006383273,0.000006097576,0.0003919221,5.712624e-7,0.0005625147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01344372,"threshold_uncertainty_score":0.0267309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02196345819327134,"score_gpt":0.3410886975748948,"score_spread":0.3191252393816235,"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."}}