{"id":"W4394379339","doi":"10.6084/m9.figshare.22263439","title":"Supplementary Material for: Total Cerebral Small Vessel Disease Burden Predicts the Outcome of Acute Stroke Patients after Intra-Arterial Thrombectomy","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Cardiology; Acute stroke; Internal medicine; Disease; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009250742,0.001057321,0.000976235,0.001757425,0.0006028782,0.001593583,0.001654134,0.001411396,0.7584075],"category_scores_gemma":[0.01732513,0.0004986493,0.001059907,0.002092035,0.0001456287,0.00102,0.000901284,0.0007243714,0.1659133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007889903,"about_ca_system_score_gemma":0.00190503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008895899,"about_ca_topic_score_gemma":0.01258016,"domain_scores_codex":[0.9995263,0.0001067773,0.00009790855,0.0001111781,0.0001017374,0.00005610042],"domain_scores_gemma":[0.9934773,0.003809366,0.0005682874,0.0004100852,0.001388839,0.0003460513],"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":[0.0004909878,0.0001627674,0.007721363,0.001834701,0.0001394668,0.0001674255,0.00004355572,0.001106597,0.0002069167,0.001567338,0.9450796,0.04147926],"study_design_scores_gemma":[0.00382734,0.0008311378,0.08575103,0.005707668,0.0005992664,0.001982786,0.0004864262,0.01939975,0.001327039,0.03042007,0.8494197,0.0002477428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002158549,0.0003119265,0.00203095,0.001214428,0.0006442365,0.000248983,0.9845411,0.0007453136,0.008104492],"genre_scores_gemma":[0.02902163,0.001414486,0.01318637,0.002250349,0.001099431,0.002245229,0.9033728,0.0008933131,0.04651646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7584075,"threshold_uncertainty_score":0.3446023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212665469649658,"score_gpt":0.2702536175333895,"score_spread":0.2481269628368929,"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."}}