{"id":"W2992868942","doi":"10.21037/atm.2019.11.88","title":"The PLAN score can predict poor outcomes of intracerebral hemorrhage","year":2020,"lang":"en","type":"article","venue":"Annals of Translational Medicine","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Intracerebral hemorrhage; Modified Rankin Scale; Stroke (engine); Mortality rate; Multivariate analysis; Emergency medicine; Statistic; Glasgow Coma Scale; Multivariate statistics; Level of consciousness; Univariate analysis; Internal medicine; Ischemic stroke; Surgery; Anesthesia; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005200906,0.0001907778,0.0006053467,0.00009891661,0.0001078906,0.000004934179,0.0002463395,0.00009956396,0.0005309671],"category_scores_gemma":[0.000675705,0.0001085974,0.0001810461,0.0003487631,0.000546054,0.00006847052,0.00002302533,0.0003747696,0.000008104961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005995013,"about_ca_system_score_gemma":0.0002083239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001179578,"about_ca_topic_score_gemma":0.00003280438,"domain_scores_codex":[0.9975584,0.00006420057,0.0007184686,0.0002307203,0.001089686,0.0003385936],"domain_scores_gemma":[0.998398,0.0004749583,0.0001613633,0.0002250398,0.0004315093,0.0003091263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006376567,0.0006431466,0.6029309,0.003324345,0.001286972,0.0003000777,0.006546994,0.0001332059,0.03090077,0.02119097,0.02470753,0.3016585],"study_design_scores_gemma":[0.01438493,0.008096597,0.7724077,0.0009556842,0.0007288735,0.0002586645,0.002540126,0.1013617,0.08673743,0.006406511,0.005368716,0.0007531703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.565091,0.001607997,0.0003374924,0.4296692,0.00009393579,0.0004889377,0.0001206536,0.00003331332,0.002557568],"genre_scores_gemma":[0.9948336,0.0001455955,0.0007809175,0.00338508,0.0004150387,0.00001117897,0.0001132211,0.00002123035,0.0002940631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4297428,"threshold_uncertainty_score":0.5813718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081208628620153,"score_gpt":0.3410439249065623,"score_spread":0.232923062044547,"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."}}