{"id":"W4412166535","doi":"10.1017/cjn.2025.10222","title":"P.048 Cost-effectiveness of tenecteplase compared to alteplase for acute ischemic stroke from a Canadian perspective","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Celiac Association","funders":"","keywords":"Tenecteplase; Medicine; Perspective (graphical); Ischemic stroke; Stroke (engine); Cardiology; Internal medicine; Thrombolysis; Ischemia; Computer science; Myocardial infarction; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001521177,0.0008838341,0.0009879802,0.001787839,0.0008775498,0.002488371,0.001374439,0.0008991088,0.01410117],"category_scores_gemma":[0.007821297,0.0004249972,0.0035781,0.002580071,0.0005499872,0.0005756058,0.0007141008,0.001376533,0.0003849955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06671571,"about_ca_system_score_gemma":0.0674272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9616891,"about_ca_topic_score_gemma":0.9487078,"domain_scores_codex":[0.9982812,0.0004041813,0.00008424314,0.000132076,0.0006265794,0.0004717554],"domain_scores_gemma":[0.9981427,0.0005646304,0.0001909735,0.00003312352,0.0007635633,0.0003050258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01785126,0.001091945,0.1846326,0.00800663,0.01563537,0.001165292,0.00045332,0.399837,0.002193286,0.05481402,0.0886201,0.2256992],"study_design_scores_gemma":[0.007370667,0.003204869,0.3754202,0.003502751,0.01934912,0.001457163,0.001808235,0.51996,0.002100313,0.01524592,0.05009918,0.0004815459],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7040911,0.04314106,0.005561451,0.0207518,0.0006391723,0.002180927,0.09817044,0.000192944,0.125271],"genre_scores_gemma":[0.978286,0.005468302,0.003258073,0.0007168662,0.00005039291,0.0001725402,0.007250516,0.00003800506,0.004759316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06671571,"threshold_uncertainty_score":0.4840586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03127148319930587,"score_gpt":0.3183548711965411,"score_spread":0.2870833879972352,"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."}}