{"id":"W4362712788","doi":"10.2196/40639","title":"A Neuro-Informatics Pipeline for Cerebrovascular Disease: Research Registry Development","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Stroke (engine); Informatics; Subarachnoid hemorrhage; Intracerebral hemorrhage; Medical emergency; Disease; Emergency medicine; Intensive care medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.07641912,0.001399866,0.001281517,0.01078684,0.001524067,0.008107278,0.00426121,0.000879794,0.01767547],"category_scores_gemma":[0.09356704,0.00148587,0.001619388,0.009534361,0.001124931,0.01023293,0.008782101,0.002478328,0.01858862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003188046,"about_ca_system_score_gemma":0.02797764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004728407,"about_ca_topic_score_gemma":0.00417899,"domain_scores_codex":[0.9797885,0.008251596,0.004155306,0.002882014,0.003901937,0.001020671],"domain_scores_gemma":[0.8718281,0.03137355,0.01308665,0.0386108,0.03531232,0.009788638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009957532,0.00093952,0.0570237,0.00169255,0.000285584,0.0008759194,0.004143491,0.005253572,0.009505772,0.03558298,0.2795213,0.6041799],"study_design_scores_gemma":[0.0007230805,0.0009566562,0.0448015,0.001621682,0.0004530606,0.001222146,0.0028088,0.04764399,0.02535447,0.04178819,0.8322858,0.0003406265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02641334,0.001773231,0.7317268,0.01815517,0.0007637469,0.01412187,0.04657901,0.123043,0.03742386],"genre_scores_gemma":[0.06266371,0.001941422,0.8449053,0.001662586,0.0005106222,0.006389575,0.06844198,0.005372623,0.00811216],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07641912,"threshold_uncertainty_score":0.4041478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1109438210026869,"score_gpt":0.4407478356727644,"score_spread":0.3298040146700776,"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."}}