{"id":"W2894986890","doi":"10.1016/j.wneu.2018.09.189","title":"Patterns of Stroke Transfers and Identification of Predictors for Thrombectomy","year":2018,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"","keywords":"Medicine; Stroke (engine); Identification (biology); Internal 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":[0.0009832779,0.0003974068,0.0004821832,0.003942481,0.001168672,0.001650164,0.0009515606,0.0009505624,0.008784979],"category_scores_gemma":[0.01055172,0.0004193186,0.0006262312,0.002881055,0.0005657242,0.002434192,0.001054096,0.001235244,0.001470669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005802471,"about_ca_system_score_gemma":0.00141334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004801837,"about_ca_topic_score_gemma":0.005218833,"domain_scores_codex":[0.9985739,0.0002673987,0.0003305146,0.0001695967,0.0002359337,0.000422577],"domain_scores_gemma":[0.993812,0.001402425,0.002877761,0.0003216669,0.0009459015,0.000640268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001257484,0.00004440095,0.9969543,0.000008312052,0.00002219676,0.0003341371,0.0001162527,0.00007158166,0.0001065457,0.00007334804,0.0002196333,0.001923621],"study_design_scores_gemma":[0.000008187486,0.0001678118,0.9918901,0.00005322567,0.00003875512,0.003587249,0.00206205,0.001017343,0.0002425626,0.0005054848,0.0004081999,0.00001916046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941159,0.0003885443,0.000494005,0.0003726624,0.00002743945,0.00003567534,0.0006782297,0.00002250771,0.003864943],"genre_scores_gemma":[0.9987403,0.0002059815,0.0002154234,0.0000270055,0.00002574709,0.00001173853,0.0003346191,0.00001128922,0.0004280207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008784979,"threshold_uncertainty_score":0.02938867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01810872954490802,"score_gpt":0.2623485749492438,"score_spread":0.2442398454043358,"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."}}