{"id":"W4210298534","doi":"10.1161/str.53.suppl_1.35","title":"Abstract 35: Unmet Need In Acute Ischemic Stroke Patients Arriving After 4.5 Hours","year":2022,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Arrival time; Emergency medicine; Population","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":[0.0004159124,0.0002774783,0.0006100624,0.001079188,0.001058975,0.001463833,0.00067181,0.0006894894,0.01651604],"category_scores_gemma":[0.003436946,0.0002066141,0.000735625,0.002025701,0.0002644901,0.001183911,0.001285909,0.0009504592,0.001368399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165225,"about_ca_system_score_gemma":0.001853804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009801724,"about_ca_topic_score_gemma":0.01639633,"domain_scores_codex":[0.9990249,0.0001656606,0.0002260273,0.0001099238,0.0001473798,0.0003260274],"domain_scores_gemma":[0.9968312,0.0002976936,0.001730907,0.00004117814,0.0002855611,0.0008134641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001890722,0.0001207504,0.9649594,0.0002816099,0.0001098787,0.0005484477,0.0004240946,0.0002317757,0.0001251547,0.0003565336,0.01465206,0.01800118],"study_design_scores_gemma":[0.00002531699,0.0001093231,0.9899659,0.0003186692,0.00005007328,0.0009203664,0.003006247,0.0006839916,0.00005762278,0.0007249561,0.004112825,0.00002465468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705526,0.001950846,0.000291593,0.008944943,0.000186362,0.00007734111,0.008977465,0.00004792053,0.008970968],"genre_scores_gemma":[0.9916742,0.001158349,0.0004246012,0.001348558,0.0002858603,0.00008670371,0.00409182,0.00001436839,0.000915428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651604,"threshold_uncertainty_score":0.0552516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007638336257336955,"score_gpt":0.2393910515044868,"score_spread":0.2317527152471499,"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."}}