{"id":"W2791550902","doi":"10.1212/wnl.88.16_supplement.p5.258","title":"Mechanical Thrombectomy in Large Vessel Occlusion Stroke Patients with Low CT ASPECT score (P5.258)","year":2017,"lang":"en","type":"article","venue":"Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Occlusion; Stroke (engine); Cardiology; Internal medicine; Radiology","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":[0.0002752602,0.0002775632,0.000339544,0.0003840101,0.0002669025,0.000542492,0.0002221249,0.0003451711,0.001145568],"category_scores_gemma":[0.001102711,0.0001095833,0.0004567122,0.0004744407,0.0001763726,0.0003453077,0.0002246326,0.0004337014,0.0002100653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003584301,"about_ca_system_score_gemma":0.0005117608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242945,"about_ca_topic_score_gemma":0.004388493,"domain_scores_codex":[0.9998497,0.00002752501,0.00002088317,0.00001996155,0.00003504277,0.00004687469],"domain_scores_gemma":[0.9994634,0.00007211947,0.0002529133,0.00001340936,0.00005482543,0.0001433538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002936249,0.0003374324,0.9908618,0.00003491202,0.0001542676,0.0001882961,0.00003009182,0.00008547163,0.0003372026,0.00004202496,0.000239174,0.004753073],"study_design_scores_gemma":[0.0001887086,0.001607359,0.9966968,0.00001727942,0.0001665492,0.0003479047,0.00007464358,0.0004158279,0.0001582012,0.0001159804,0.0002044196,0.000006433558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989079,0.0002532186,0.00004272033,0.0000627352,0.00001149999,0.00001466095,0.00008379523,0.000001809908,0.0006216269],"genre_scores_gemma":[0.9993093,0.00009707386,0.00006291531,0.00004979988,0.0000315481,0.00001146328,0.0002502896,6.797022e-7,0.0001869553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002242945,"threshold_uncertainty_score":0.004459739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011677429215744,"score_gpt":0.2516888434940497,"score_spread":0.2415720692018923,"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."}}