{"id":"W2911535651","doi":"10.1161/str.50.suppl_1.tp77","title":"Abstract TP77: Collateral- vs Perfusion-Based Selection Paradigm of Late Window (6-24 hours) Patients With Acute Ischemic Stroke a Comparative Study of Decision Making Using Multi-Phase CTA and CT Perfusion","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Manitoba; University of Calgary","funders":"","keywords":"Medicine; Perfusion scanning; Stroke (engine); Perfusion; Collateral circulation; Logistic regression; Radiology; Receiver operating characteristic; Nuclear medicine; Internal medicine","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":[0.001332046,0.000421104,0.0004660044,0.0004566488,0.0001431565,0.0006083588,0.000225874,0.0003526806,0.001122419],"category_scores_gemma":[0.004060195,0.000106936,0.0004178008,0.0002412638,0.0002034623,0.0005875648,0.0002589663,0.0003609873,0.0002720291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002235474,"about_ca_system_score_gemma":0.0003017696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002257246,"about_ca_topic_score_gemma":0.0002956926,"domain_scores_codex":[0.9994135,0.0003160667,0.00005380664,0.00009021957,0.00006910247,0.00005724318],"domain_scores_gemma":[0.9981464,0.0008565346,0.0003917105,0.00006608035,0.0001261979,0.0004129723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02776552,0.000987866,0.9365448,0.00009043809,0.0003033241,0.0002674198,0.0001675893,0.001140778,0.00190557,0.0001098686,0.000399941,0.03031694],"study_design_scores_gemma":[0.001167952,0.02906852,0.940114,0.00009171763,0.0004285904,0.001616644,0.0006258937,0.0227206,0.002464988,0.0008590005,0.000772873,0.00006927946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993213,0.000124272,0.000240789,0.00003247887,0.000006958468,0.00001505294,0.00005333073,0.000002959166,0.0002028749],"genre_scores_gemma":[0.9995159,0.00004676672,0.0002175495,0.00001674692,0.00001982287,0.00001481137,0.0001217831,0.00000143908,0.00004531771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001332046,"threshold_uncertainty_score":0.007044613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0200057824362675,"score_gpt":0.3078170798838171,"score_spread":0.2878112974475496,"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."}}