{"id":"W3139342789","doi":"10.1161/str.52.suppl_1.17","title":"Abstract 17: Time-Benefit Association is Magnified in Door-To-Puncture Window: Lose 1 Second, Lose 2.2 Hours of Healthy Life","year":2021,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Arrival time; Surgery","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":[0.008747418,0.0006188886,0.002362504,0.0008101728,0.0004067357,0.002095816,0.0007245771,0.001538059,0.04251119],"category_scores_gemma":[0.02696967,0.0003270342,0.00564258,0.001264403,0.0005440439,0.001414328,0.001219489,0.003097224,0.002128487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370135,"about_ca_system_score_gemma":0.001066775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076452,"about_ca_topic_score_gemma":0.001026712,"domain_scores_codex":[0.9920407,0.003429407,0.00114562,0.001519671,0.001222787,0.0006418532],"domain_scores_gemma":[0.9713786,0.01726658,0.007834648,0.001456941,0.0009829787,0.001080292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2065392,0.0009396958,0.5209808,0.01440533,0.04274402,0.0007090005,0.0005706658,0.001604828,0.003870691,0.006796794,0.06409655,0.1367424],"study_design_scores_gemma":[0.01162631,0.007753553,0.9165019,0.00216212,0.02717603,0.0008302759,0.0004842448,0.003812838,0.001269137,0.008174785,0.02007089,0.0001379878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8187011,0.06662501,0.01015363,0.01611266,0.00471868,0.001361674,0.04832658,0.0007452555,0.03325541],"genre_scores_gemma":[0.9820144,0.00293547,0.001781645,0.002650952,0.001607623,0.0006475017,0.004999782,0.00008804364,0.003274469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04251119,"threshold_uncertainty_score":0.1422141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010724695410966,"score_gpt":0.2570485442435834,"score_spread":0.2469412972894737,"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."}}