{"id":"W4389436769","doi":"10.1212/wnl.90.15_supplement.p5.234","title":"Electronic Decision Support for Improvement of Contemporary Therapy for Stroke prevention (EDICTS) (P5.234)","year":2018,"lang":"en","type":"article","venue":"Neurology","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre","funders":"","keywords":"Stroke (engine); Medicine; Pediatrics; Physical medicine and rehabilitation; Physical therapy; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001561875,0.0001816766,0.0003215962,0.0001027775,0.000175768,0.000005403384,0.0002926472,0.0003417088,0.001014158],"category_scores_gemma":[0.0003218752,0.0001617784,0.0001754705,0.00007632787,0.0003081672,0.000157532,0.00005079723,0.0005055974,0.0000234932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000182384,"about_ca_system_score_gemma":0.0003479734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008694568,"about_ca_topic_score_gemma":0.00001747299,"domain_scores_codex":[0.9981814,0.0002296849,0.0005153031,0.000385208,0.0001393273,0.0005491009],"domain_scores_gemma":[0.9973475,0.001753348,0.0003629285,0.0001848389,0.0001924429,0.0001589611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.06063864,0.001794073,0.001949987,0.0001116608,0.0005738558,0.000008574897,0.00025683,0.000009343815,0.4232418,0.003211675,0.06976215,0.4384414],"study_design_scores_gemma":[0.008301637,0.01942871,0.0002874798,0.000002730603,0.00009635229,0.00001077949,0.000006990364,0.001456136,0.1538558,0.005039882,0.811401,0.0001125311],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707749,0.0007495419,0.01569781,0.003844252,0.003576882,0.002551614,0.0001769841,0.00007276217,0.002555235],"genre_scores_gemma":[0.9804475,0.0006415806,0.0002547745,0.01685609,0.0007592454,0.0003881775,0.00006211096,0.00002679602,0.0005637441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7416388,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441432804976159,"score_gpt":0.4881476044121806,"score_spread":0.3440043239145648,"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."}}