{"id":"W2980000583","doi":"10.1161/strokeaha.119.026389","title":"Prehospital Transdermal Glyceryl Trinitrate for Ultra-Acute Intracerebral Hemorrhage","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"Medical Research Council; Research Councils UK; National Institute for Health and Care Research; Horizon 2020 Framework Programme; British Heart Foundation; Wellcome Trust","keywords":"Medicine; Intracerebral hemorrhage; Interquartile range; Modified Rankin Scale; Stroke (engine); Anesthesia; Randomized controlled trial; Subgroup analysis; Odds ratio; Randomization; Glasgow Coma Scale; Internal medicine; Confidence interval; Ischemic stroke; Ischemia","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000268848,0.0003120084,0.0005664537,0.0001533681,0.0001279233,0.00006647168,0.0002217285,0.000233113,0.001903085],"category_scores_gemma":[0.0000466163,0.0002607802,0.0004268079,0.0001859011,0.0001007554,0.0002533253,0.0000233171,0.0005839576,0.0006211569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008784048,"about_ca_system_score_gemma":0.0002152636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001533021,"about_ca_topic_score_gemma":0.000004135017,"domain_scores_codex":[0.9976096,0.00003483227,0.0004117301,0.0005365479,0.0004924146,0.0009149021],"domain_scores_gemma":[0.9988772,0.0001012015,0.00006772414,0.0004564194,0.0001748445,0.0003226127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0124138,0.001364874,0.05099398,0.003287766,0.001080212,0.001036461,0.001549122,0.00003029968,0.7275078,0.005051427,0.003391474,0.1922928],"study_design_scores_gemma":[0.03667935,0.01272752,0.01947492,0.0001972066,0.001097757,0.002070274,0.001764371,0.06198348,0.8535893,0.0006612969,0.007761097,0.001993427],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697418,0.0001704038,0.001113022,0.002017168,0.0004658388,0.002102914,0.000319215,0.0001669218,0.02390274],"genre_scores_gemma":[0.9543672,0.00001834068,0.007754071,0.0003773872,0.0005079752,0.0001364361,0.0001565312,0.00006701181,0.03661501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1902994,"threshold_uncertainty_score":0.9999844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118351737196127,"score_gpt":0.2741826481597511,"score_spread":0.2629991307877899,"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."}}