{"id":"W6889101790","doi":"10.25384/sage.23961408","title":"sj-docx-3-ine-10.1177_15910199231193464 - Supplemental material for Mechanical thrombectomy in low Alberta Stroke Program Early Computed Tomographic Score: A systematic review and meta-analysis of randomized controlled trials","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Computed tomographic; Neuroradiology; Stroke (engine); Computed tomography; Interventional 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003982308,0.001994512,0.003915595,0.006362193,0.0007197679,0.005358806,0.003190564,0.002682602,0.9159486],"category_scores_gemma":[0.05780812,0.002064721,0.003407266,0.01180917,0.0005867019,0.004788673,0.002962692,0.001975024,0.2420906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687248,"about_ca_system_score_gemma":0.006121742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008977585,"about_ca_topic_score_gemma":0.02558442,"domain_scores_codex":[0.9977891,0.0004016268,0.0007325382,0.000281327,0.0005653829,0.0002299288],"domain_scores_gemma":[0.9612028,0.02595719,0.00442976,0.001138173,0.006225755,0.001046429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0006277581,0.00006075177,0.0006978157,0.1229359,0.0004635571,0.00006237671,0.00007729812,0.0002222684,0.0002038999,0.00111126,0.8608251,0.01271205],"study_design_scores_gemma":[0.02643363,0.0005227337,0.01687093,0.07046317,0.002259888,0.0004407307,0.000571007,0.001368735,0.0008991798,0.01024557,0.8695969,0.0003276454],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000280801,0.001105683,0.0003335046,0.00105957,0.0004248894,0.001458,0.989,0.0008210278,0.005516527],"genre_scores_gemma":[0.01008138,0.006097039,0.01134639,0.00777714,0.001627074,0.02718997,0.8364177,0.003199778,0.09626355],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9159486,"threshold_uncertainty_score":0.1198891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08759470186846137,"score_gpt":0.3763932301850002,"score_spread":0.2887985283165388,"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."}}