{"id":"W4394134750","doi":"10.6084/m9.figshare.23266829","title":"Supplementary Material for: Mechanical thrombectomy treatment beyond 16 hours from last known well in patients with large vessel occlusion","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Occlusion; Medicine; Cardiology","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":[0.001116481,0.0007951258,0.001194127,0.001657419,0.0006697311,0.001532846,0.001211474,0.00138488,0.7188682],"category_scores_gemma":[0.01737514,0.0004349312,0.0007519786,0.002459262,0.0001659087,0.001094282,0.0008677572,0.0006996849,0.1297769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007131263,"about_ca_system_score_gemma":0.00168481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003098537,"about_ca_topic_score_gemma":0.005027624,"domain_scores_codex":[0.9992607,0.0001892836,0.000221326,0.0001239645,0.0001184231,0.00008632413],"domain_scores_gemma":[0.9907202,0.004839863,0.001380797,0.0005275086,0.001715394,0.0008162169],"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":[0.001159654,0.0001669908,0.004863898,0.001816836,0.00006548289,0.0002473815,0.00002377356,0.0002173289,0.0001320965,0.0006806251,0.9383241,0.05230183],"study_design_scores_gemma":[0.01249909,0.001502416,0.1314953,0.008868206,0.0004542214,0.003547352,0.0003562752,0.004008092,0.00131808,0.01533285,0.8204129,0.0002051927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003491666,0.0007883715,0.001788212,0.004132856,0.001589813,0.001196435,0.9522369,0.0007879582,0.03398785],"genre_scores_gemma":[0.04389475,0.003125635,0.01205471,0.00727189,0.004284581,0.005838182,0.8357206,0.0008917378,0.08691797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7188682,"threshold_uncertainty_score":0.4010004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481577172853494,"score_gpt":0.2632496013348667,"score_spread":0.2484338296063318,"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."}}