{"id":"W4407143623","doi":"10.26212/2227-1937.2025.62.81.014","title":"INTERNATIONAL PRACTICES IN OPTIMIZING TIME METRICS FOR REPERFUSION THERAPY IN ACUTE ISCHEMIC STROKE","year":2025,"lang":"en","type":"article","venue":"Фтизиопульмонология","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ischemic stroke; Reperfusion therapy; Medicine; Stroke (engine); Acute stroke; Cardiology; Internal medicine; Ischemia; Engineering; Tissue plasminogen activator; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.1074874,0.001797346,0.005579449,0.01806565,0.0009658138,0.008087302,0.004211347,0.002324137,0.003801206],"category_scores_gemma":[0.2553959,0.001239817,0.007842101,0.02054983,0.002374918,0.009173843,0.004447869,0.002559855,0.0005873616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007909581,"about_ca_system_score_gemma":0.03498573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01371803,"about_ca_topic_score_gemma":0.01842042,"domain_scores_codex":[0.8798613,0.0653841,0.03668734,0.003936555,0.0131694,0.0009613165],"domain_scores_gemma":[0.7466805,0.1839571,0.03499262,0.005933716,0.0273084,0.001127697],"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":[0.0002495,0.00003944645,0.003728796,0.6543201,0.005896472,0.00009983869,0.002269561,0.001059527,0.0002929113,0.009185054,0.006998853,0.31586],"study_design_scores_gemma":[0.000203003,0.0002020354,0.006379561,0.8741017,0.01178056,0.00022734,0.002003139,0.0004249219,0.0004738209,0.006009755,0.0980946,0.00009961354],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001316735,0.9851161,0.003094993,0.005082887,0.0006312903,0.0009203659,0.0008400792,0.00004261321,0.002955042],"genre_scores_gemma":[0.04436191,0.9187902,0.02863149,0.003552483,0.0003441607,0.003077975,0.0008798507,0.0000496855,0.0003121982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1074874,"threshold_uncertainty_score":0.5684545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513378612640405,"score_gpt":0.3383066100983366,"score_spread":0.3131728239719325,"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."}}