{"id":"W2913823605","doi":"10.1161/str.50.suppl_1.wp370","title":"Abstract WP370: DESTINE: Interactive Software Modeling Best Transport Option for Ischemic Stroke Patients to Access EVT Using a Novel 2-Dimensional Temporal Spatial Visualization","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Usability; Medicine; Visualization; Software; Population; Thematic analysis; Interactive visualization; Medical physics; Human–computer interaction; Multimedia; Medical emergency; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001046019,0.001024471,0.0003467321,0.0008331422,0.0003866553,0.001426915,0.0009361878,0.000626754,0.01974326],"category_scores_gemma":[0.005603709,0.0002439426,0.000903541,0.0004485541,0.0003139712,0.001080227,0.001324168,0.0004638393,0.001802091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003846657,"about_ca_system_score_gemma":0.0006798348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338919,"about_ca_topic_score_gemma":0.003068233,"domain_scores_codex":[0.9996526,0.000147251,0.00003459329,0.0000534904,0.00008661747,0.00002539097],"domain_scores_gemma":[0.9974735,0.001896693,0.00009908564,0.0001572101,0.0002664623,0.0001069757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003086221,0.001105177,0.02378204,0.005121457,0.0003243062,0.002497341,0.02069426,0.1003294,0.07165895,0.02486085,0.2015088,0.5450311],"study_design_scores_gemma":[0.0008026891,0.001100681,0.02484017,0.001088708,0.0003336605,0.001647843,0.003649385,0.5647867,0.03856055,0.02296911,0.3398294,0.0003911489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1849158,0.0004358705,0.7103731,0.001912452,0.0003103924,0.001713137,0.01651859,0.05516551,0.02865503],"genre_scores_gemma":[0.4609196,0.000638303,0.503599,0.0003038443,0.0001128651,0.00229041,0.01298086,0.004906135,0.01424899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01974326,"threshold_uncertainty_score":0.06604779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360019015603334,"score_gpt":0.3417978301959836,"score_spread":0.3057959286356502,"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."}}