{"id":"W3176111089","doi":"10.1161/str.51.suppl_1.tp5","title":"Abstract TP5: Optimizing First Pass TICI 3: FAST (Flow Arrest Aspiration Stentriever Technique)","year":2020,"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 Toronto; University of Calgary; St. Michael's Hospital","funders":"","keywords":"Medicine; Balloon; Catheter; Surgery; Stroke (engine); Solitaire Cryptographic Algorithm; Ischemic stroke; Internal medicine; Ischemia; Modified Rankin Scale","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":[0.0005111563,0.0004310653,0.000440797,0.0007113799,0.0001876682,0.0004587944,0.0003297394,0.0003895081,0.002507281],"category_scores_gemma":[0.0008654332,0.00008337948,0.0004776739,0.0004706718,0.0002106704,0.0002888828,0.0002498888,0.0003310049,0.0007091742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002829803,"about_ca_system_score_gemma":0.0006513912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005013279,"about_ca_topic_score_gemma":0.0007043452,"domain_scores_codex":[0.9997323,0.00004111878,0.00003961644,0.00005806042,0.00008283211,0.0000461042],"domain_scores_gemma":[0.999603,0.00006796575,0.0001687857,0.00003201062,0.00005547902,0.00007283744],"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":[0.007256103,0.001256098,0.38807,0.001474098,0.0008991939,0.004464736,0.0002274366,0.002310714,0.04616912,0.0007915608,0.006408202,0.5406728],"study_design_scores_gemma":[0.00123525,0.02246544,0.8583881,0.000375267,0.001261428,0.05545688,0.000213849,0.007186345,0.03195302,0.0008697326,0.02049215,0.000102525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9799767,0.004941085,0.01072707,0.0002351989,0.00007826924,0.0001782497,0.0007181764,0.0001946052,0.002950727],"genre_scores_gemma":[0.9848865,0.001914206,0.01039014,0.000125625,0.0001978464,0.0001397261,0.001224237,0.00002829191,0.001093401],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002507281,"threshold_uncertainty_score":0.008387625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121930703515743,"score_gpt":0.2477583931402788,"score_spread":0.2265390861051213,"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."}}