{"id":"W2965073142","doi":"10.1136/neurintsurg-2019-015134","title":"Electronic Alberta Stroke Program Early CT score change and functional outcome in a drip-and-ship stroke service","year":2019,"lang":"en","type":"article","venue":"Journal of NeuroInterventional Surgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Emergency medicine; Physical therapy; 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":[0.0007038647,0.0002167502,0.0005756426,0.0005386424,0.00002927966,0.00004938506,0.00008576376,0.00004801843,0.0003184261],"category_scores_gemma":[0.0001485774,0.000190014,0.0004290534,0.0002049635,0.0000380619,0.0003412445,0.0001205895,0.0006004661,0.00002362258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224149,"about_ca_system_score_gemma":0.0000870224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000137524,"about_ca_topic_score_gemma":0.00005763973,"domain_scores_codex":[0.9977619,0.00008269371,0.0008826697,0.0002813657,0.0006054401,0.0003859328],"domain_scores_gemma":[0.9986533,0.0003700594,0.0004845673,0.0001628845,0.0001546609,0.0001745275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005700249,0.0003749343,0.9930598,0.0003122233,0.0002167417,0.0002347791,0.00003205071,0.000001454052,0.001068705,0.00009205793,0.001204516,0.002832781],"study_design_scores_gemma":[0.001709639,0.0006745966,0.9857725,0.0004982331,0.0001210448,0.002131557,0.00005167861,0.0001176391,0.00005696942,0.00002828139,0.008702505,0.000135347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933224,0.0006313616,0.00001492941,0.004712611,0.0004403177,0.000460654,0.00001022096,0.00001450604,0.0003929933],"genre_scores_gemma":[0.9950745,0.00008818976,0.00008438723,0.0008604836,0.0002477138,0.00001997392,0.00001535437,0.0000307256,0.003578655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00749799,"threshold_uncertainty_score":0.7748548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06414315743291298,"score_gpt":0.2901923636947156,"score_spread":0.2260492062618026,"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."}}