{"id":"W4205826720","doi":"10.17265/2159-5275/2021.06.004","title":"Stroke Prediction","year":2021,"lang":"en","type":"article","venue":"Journal of Mechanics Engineering and Automation","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stroke (engine); Medicine; Engineering; Mechanical engineering","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":[0.0005647233,0.00005199714,0.000119377,0.00008369941,0.0001210441,0.000007468792,0.00003366913,0.0001021453,0.00005617792],"category_scores_gemma":[0.0004983523,0.00004894489,0.00003017238,0.00009124005,0.000001808555,0.0001394132,0.00001773888,0.0003589338,0.000007855908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008160512,"about_ca_system_score_gemma":0.0001300299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006161816,"about_ca_topic_score_gemma":0.000006053654,"domain_scores_codex":[0.9991203,0.0000695686,0.0004671153,0.00005662734,0.0001630535,0.0001233146],"domain_scores_gemma":[0.9991465,0.0001565632,0.0002030122,0.0000642786,0.0003585371,0.00007111325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000110599,0.0001970248,0.0111458,0.002753341,0.0002862434,0.0002076799,0.01933562,0.1442309,0.4685562,0.173827,0.003793904,0.1755557],"study_design_scores_gemma":[0.0001663647,0.00009334772,0.001560918,0.0005178981,0.00002380572,0.00006624882,0.002024911,0.9821572,0.007679097,0.001561301,0.004079518,0.00006942901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.730622,0.00071818,0.2644942,0.0009205791,0.002928668,0.0001065903,0.00001101138,0.00007992026,0.0001188696],"genre_scores_gemma":[0.9959632,0.0002659275,0.003190869,0.00006888087,0.0003989273,0.000003016632,0.000002537285,0.00001020258,0.00009643165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8379263,"threshold_uncertainty_score":0.1995915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04934288101487166,"score_gpt":0.3679345819532275,"score_spread":0.3185917009383558,"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."}}