{"id":"W4213277979","doi":"10.26226/morressier.5aeac941521e300021138025","title":"SIMULATION-BASED TRAINING OF RAPID EVALUATION AND MANAGEMENT FOR ACUTE STROKE (STREAM) TRIAL (STREAM)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Acute stroke; Computer science; Stroke (engine); Medicine; Internal medicine; Geography; Engineering; Meteorology","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":[0.001254775,0.0009183205,0.001811122,0.0002265499,0.000244608,0.0006883866,0.0005852947,0.0007477903,0.005869475],"category_scores_gemma":[0.004011665,0.0002709962,0.002444234,0.0002645691,0.0003404321,0.0005759202,0.0007000373,0.0017622,0.0006144128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006851048,"about_ca_system_score_gemma":0.001373163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00213309,"about_ca_topic_score_gemma":0.002173015,"domain_scores_codex":[0.9991969,0.0005764299,0.00004202791,0.00007170377,0.00004345533,0.0000693921],"domain_scores_gemma":[0.999217,0.000341627,0.0001585645,0.00007690747,0.00005493311,0.0001510108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8227773,0.008646931,0.008277746,0.003970228,0.008667188,0.00007080576,0.0001522125,0.01418684,0.00124141,0.001543766,0.01323412,0.1172314],"study_design_scores_gemma":[0.8469043,0.07622773,0.0291055,0.001520479,0.00821645,0.00009149273,0.0001258647,0.02558376,0.000689219,0.004613061,0.006820036,0.0001020623],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758821,0.006647147,0.002536422,0.003234541,0.0009023418,0.002063834,0.003020497,0.000200078,0.005513033],"genre_scores_gemma":[0.975114,0.003894198,0.005584137,0.001310973,0.0007180541,0.005774138,0.004305702,0.00004981396,0.003249116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005869475,"threshold_uncertainty_score":0.01963538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481391200017826,"score_gpt":0.3069354037865036,"score_spread":0.2621214917863253,"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."}}