{"id":"W4287010128","doi":"10.3390/diagnostics12081786","title":"Outcome Prediction Based on Automatically Extracted Infarct Core Image Features in Patients with Acute Ischemic Stroke","year":2022,"lang":"en","type":"article","venue":"Diagnostics","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute for Health and Care Research","keywords":"Medicine; Stroke (engine); Artificial intelligence; Feature (linguistics); Cohort; Radiology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001560592,0.000246725,0.000331034,0.0002737317,0.00008756881,0.00002134614,0.0001746378,0.00007275521,0.000329861],"category_scores_gemma":[0.000643896,0.0002131401,0.00006695637,0.0003275884,0.00006296905,0.00006517151,0.0001454123,0.0006831331,0.00001967255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676357,"about_ca_system_score_gemma":0.00008391117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001160244,"about_ca_topic_score_gemma":0.000002049164,"domain_scores_codex":[0.9979447,0.00003675633,0.0004078507,0.0003538995,0.0009149095,0.0003418622],"domain_scores_gemma":[0.9987565,0.0003942363,0.0001351538,0.0004906293,0.0000991408,0.0001243005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007320988,0.001004957,0.8867814,0.00005968287,0.0001185356,0.000320936,0.00008137128,0.0002924982,0.0003658998,0.00001709765,0.1094953,0.000730201],"study_design_scores_gemma":[0.005871159,0.001382169,0.9806394,0.00009026439,0.0003294016,0.000008453331,0.00007468832,0.004173746,0.0004134733,0.000001807706,0.006820527,0.0001949272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987689,0.000013706,0.0004582869,0.0008281766,0.0002141229,0.001238925,0.0007487644,0.0001857618,0.008623223],"genre_scores_gemma":[0.9897195,0.000007169202,0.004783214,0.003159928,0.00005309486,0.0002408347,0.00129591,0.0000546827,0.0006857288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1026748,"threshold_uncertainty_score":0.8691603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007668202409050257,"score_gpt":0.2468127462006848,"score_spread":0.2391445437916346,"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."}}