{"id":"W4317498477","doi":"10.56310/pjns.v17i02.142","title":"Risk factors of intracerebral hemorrhage- a cross sectional study","year":2022,"lang":"en","type":"article","venue":"Pakistan Journal of Neurological Sciences","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Medicine; Intracerebral hemorrhage; Bleed; Hyperlipidemia; Stroke (engine); Incidence (geometry); Diabetes mellitus; Epidemiology; Risk factor; Pediatrics; Cross-sectional study; Internal medicine; Emergency medicine; Subarachnoid hemorrhage; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003159143,0.0001356519,0.0003985339,0.0002321715,0.0006794119,0.00006046124,0.0005128273,0.00004458027,0.002214106],"category_scores_gemma":[0.0006421853,0.00008153841,0.0002380848,0.0007269149,0.0006017376,0.0001483653,0.0002145499,0.001208383,0.000002874452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005245987,"about_ca_system_score_gemma":0.0002091728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003207846,"about_ca_topic_score_gemma":0.000002493259,"domain_scores_codex":[0.9962751,0.0005431515,0.0007748422,0.0002742723,0.001773633,0.0003590315],"domain_scores_gemma":[0.9985033,0.0004122024,0.0005043307,0.0001286802,0.000236036,0.0002154233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007988524,0.001054664,0.9939098,0.00001253807,0.00002310179,0.000696412,0.0002886059,0.0008880551,0.0006416556,0.00008578695,0.0000230294,0.001577496],"study_design_scores_gemma":[0.0009486933,0.02135438,0.9686655,0.000001673934,0.00003499634,0.001400977,0.001639701,0.00510632,0.0002259188,0.0004949006,0.0000424694,0.0000844801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984677,0.0001155407,0.00006007815,0.000350337,0.0003153558,0.0002299215,0.00002130574,0.00001282089,0.0004269425],"genre_scores_gemma":[0.9989763,0.000005825417,0.0006686483,0.000097344,0.0001307486,0.000003973874,7.529657e-7,0.000005912631,0.0001104385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02524431,"threshold_uncertainty_score":0.998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305955730750625,"score_gpt":0.3580584678243758,"score_spread":0.3149989105168695,"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."}}