{"id":"W2890953957","doi":"10.1186/s12874-018-0553-3","title":"The Ottawa SAH search algorithms: protocol for a multi- centre validation study of primary subarachnoid hemorrhage prediction models using health administrative data (the SAHepi prediction study protocol)","year":2018,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences; University of British Columbia; Centre hospitalier de l'Université Laval; The Quebec Population Health Research Network; Centre Hospitalier de l’Université de Montréal; University of Manitoba; Ottawa Hospital; Université Laval; University of Ottawa","funders":"","keywords":"Medicine; Subarachnoid hemorrhage; Algorithm; Radiology; Diagnosis code; Epidemiology; Emergency medicine; Surgery; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09919907,0.0004288764,0.001133069,0.0005007144,0.002253607,0.0001183055,0.001908861,0.0004602023,0.0002113404],"category_scores_gemma":[0.03025777,0.0002463196,0.0001531219,0.001506493,0.002080946,0.0004126516,0.0014439,0.002549062,0.00001120811],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007446409,"about_ca_system_score_gemma":0.009082919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158746,"about_ca_topic_score_gemma":0.002397058,"domain_scores_codex":[0.9599307,0.02938488,0.002113868,0.001574094,0.005199056,0.001797376],"domain_scores_gemma":[0.9795471,0.01344127,0.0004650617,0.002496162,0.003208903,0.0008414385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.04651998,0.03414811,0.05313126,0.0111609,0.0008014851,0.0001885959,0.02209322,0.0001638355,0.002535191,0.0005442366,0.004274261,0.8244389],"study_design_scores_gemma":[0.01563685,0.01954863,0.004382527,0.0001733867,0.00009181132,0.0001408314,0.02603301,0.9318516,0.00127439,0.000303084,0.0003820508,0.0001818897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.03255638,0.00001768985,0.2628899,0.001558417,0.0001358413,0.7025206,0.0001430496,0.00009139543,0.00008675449],"genre_scores_gemma":[0.02497646,0.000003410991,0.1505336,0.00008355569,0.001499304,0.8219132,0.000164436,0.00009370818,0.0007324021],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9316877,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7394828313244168,"score_gpt":0.6074666925070582,"score_spread":0.1320161388173586,"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."}}