{"id":"W4319006831","doi":"10.1161/str.54.suppl_1.tmp43","title":"Abstract TMP43: Svin Mt2020 + Global Mechanical Thrombectomy Access Barrier Score","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre","funders":"","keywords":"Medicine; Ranking (information retrieval); Scale (ratio); Weighting; Delphi method; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01162991,0.001175459,0.003163727,0.009603346,0.0005926373,0.002246013,0.001096121,0.001156844,0.01642651],"category_scores_gemma":[0.03217452,0.0004080743,0.00608722,0.007549913,0.0005505615,0.001730524,0.002921043,0.0007431043,0.001388742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002320425,"about_ca_system_score_gemma":0.006339493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669344,"about_ca_topic_score_gemma":0.005106003,"domain_scores_codex":[0.9892828,0.004335437,0.003342562,0.0004227504,0.002316102,0.0003003913],"domain_scores_gemma":[0.9851491,0.007471493,0.003299578,0.0002959665,0.003303857,0.0004799546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.003665503,0.00009750925,0.02031911,0.6784275,0.01315162,0.0003790554,0.0008241121,0.001242082,0.001448028,0.002265489,0.07118707,0.2069929],"study_design_scores_gemma":[0.004722401,0.002565921,0.2497498,0.4221976,0.07019879,0.002692,0.002002335,0.00243633,0.002140152,0.005101091,0.235831,0.0003626422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1187904,0.4680189,0.01191436,0.0167888,0.001961512,0.04834371,0.2878082,0.0008766086,0.04549739],"genre_scores_gemma":[0.4959748,0.2477132,0.047354,0.005120363,0.0008821631,0.08400309,0.1083378,0.0002156282,0.01039884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01642651,"threshold_uncertainty_score":0.06150556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807875118962229,"score_gpt":0.3308986071846342,"score_spread":0.2928198559950119,"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."}}