{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005242772,0.00007088707,0.0001191413,0.00005824228,0.00004081381,0.000009606907,0.0000840869,0.00009078573,0.00002647285],"category_scores_gemma":[0.0002448546,0.00004839655,0.00002348546,0.00005993476,0.0003921762,0.000006634141,0.0002250894,0.00006570329,0.000003683128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004573982,"about_ca_system_score_gemma":0.00002938406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004337253,"about_ca_topic_score_gemma":0.00004854025,"domain_scores_codex":[0.9992631,0.00008706181,0.0002186444,0.0001406461,0.0001197456,0.0001707949],"domain_scores_gemma":[0.999417,0.00007594165,0.00005876663,0.0002285728,0.0001484804,0.0000712056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003254198,0.00002894771,0.3593976,0.0000675737,0.00002112387,1.353332e-7,0.0001309634,0.000002226564,0.6365725,0.0001202132,0.001116823,0.002509346],"study_design_scores_gemma":[0.0009022646,0.00133021,0.3648911,0.0001094567,0.00001070713,0.00000776967,0.0002609129,0.0004113352,0.6296165,0.00006189344,0.002262879,0.0001349391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956619,0.0002169982,0.0002300766,0.00009995704,0.0000148358,0.00009790202,0.000008170862,0.000004655623,0.003665538],"genre_scores_gemma":[0.9960682,0.00004286959,0.0008608841,0.0000114155,0.00002413503,0.000002210522,0.000002549065,0.000008738038,0.002978961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006956022,"threshold_uncertainty_score":0.1973554,"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."}}