{"id":"W2474973450","doi":"10.1161/strokeaha.116.013829","title":"Clots, Collaterals, and the Intracranial Arterial Tree","year":2016,"lang":"en","type":"letter","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"","keywords":"Medicine; Thrombus; Stroke (engine); Internal medicine; Nuclear medicine; Cardiology","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":[0.0008998339,0.0005180765,0.001178833,0.0007299164,0.002113186,0.003283902,0.0009135873,0.02710332,0.00685122],"category_scores_gemma":[0.009064225,0.0006084124,0.000776673,0.000744929,0.002178855,0.003117964,0.0009923948,0.020869,0.003505339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002347592,"about_ca_system_score_gemma":0.001985103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674369,"about_ca_topic_score_gemma":0.006026045,"domain_scores_codex":[0.9990931,0.0003045616,0.0001349915,0.0001063758,0.0002226026,0.0001384761],"domain_scores_gemma":[0.997911,0.001125499,0.0002862777,0.00007614829,0.0002053335,0.0003957265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003590253,0.0002670057,0.01448358,0.0003031792,0.00007585605,0.1395279,0.0004642809,0.00044053,0.0004879507,0.01529822,0.7804375,0.04785498],"study_design_scores_gemma":[0.0008834158,0.0003092106,0.011777,0.001744085,0.0001775301,0.2546944,0.001769693,0.002827502,0.0006681438,0.06728953,0.6577185,0.0001409796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005436789,0.008264151,0.0001869581,0.9587101,0.009320168,0.0000166598,0.00005786093,0.00003058049,0.01797674],"genre_scores_gemma":[0.09935705,0.02307343,0.0009370574,0.5586184,0.2932936,0.00006965821,0.0001038953,0.00004757009,0.0244994],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02710332,"threshold_uncertainty_score":0.02291965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009282638092472305,"score_gpt":0.2296609324063586,"score_spread":0.2203782943138863,"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."}}