{"id":"W2964000311","doi":"10.1161/strokeaha.118.024512","title":"Predictors of Parenchymal Hematoma After Mechanical Thrombectomy","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Hematoma; Odds ratio; Univariate analysis; Internal medicine; Incidence (geometry); Occlusion; Surgery; Complication; Prospective cohort study; Multivariate analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042609,0.0001886558,0.0002797377,0.0004780903,0.000218266,0.0004775151,0.0003478644,0.0003102151,0.00171851],"category_scores_gemma":[0.005788729,0.0001312344,0.0003083563,0.0006509459,0.0003347432,0.0003158085,0.0003992388,0.0005971045,0.0001255344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001645419,"about_ca_system_score_gemma":0.0003353447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114638,"about_ca_topic_score_gemma":0.001010621,"domain_scores_codex":[0.9995863,0.0001173981,0.00006430577,0.0000550994,0.0001111915,0.00006568569],"domain_scores_gemma":[0.9949374,0.001090734,0.003015774,0.000169689,0.0002624016,0.0005239557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009665648,0.00001320342,0.9984194,0.00001031572,0.00002878784,0.000175988,0.00001152458,0.00004675798,0.00007612513,0.00001166536,0.00005261054,0.00105685],"study_design_scores_gemma":[0.000006403859,0.000102418,0.9979411,0.00000694177,0.00002015289,0.001475952,0.00003871299,0.0002463207,0.0000617065,0.00003610668,0.00006191418,0.000002406119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987246,0.0005519792,0.0001396854,0.000114505,0.000007482565,0.00000688878,0.0001418599,0.000005196305,0.0003076206],"genre_scores_gemma":[0.9997112,0.0000920992,0.00004682818,0.00001173001,0.00002098012,0.00000197372,0.00009211333,6.538413e-7,0.00002238572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00171851,"threshold_uncertainty_score":0.005749047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007396646744869474,"score_gpt":0.2387602344578537,"score_spread":0.2313635877129842,"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."}}