{"id":"W4408280717","doi":"10.2139/ssrn.5167969","title":"Development  and Validation of PRECISE-X, a Risk Prediction Model for the First Severe Exacerbation in Patients with Chronic Obstructive Pulmonary Disease","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Exacerbation; Pulmonary disease; Medicine; Internal medicine; Intensive care medicine; Model validation; Disease; Cardiology; Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01265259,0.001379623,0.0009022102,0.0009632701,0.0004438802,0.00130083,0.001189281,0.0009296219,0.003940401],"category_scores_gemma":[0.01479432,0.000513015,0.001142242,0.0004228873,0.0003875581,0.0008795748,0.001486409,0.001458123,0.001723907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005365047,"about_ca_system_score_gemma":0.002101163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007233962,"about_ca_topic_score_gemma":0.00422213,"domain_scores_codex":[0.9978993,0.001290701,0.0001300994,0.0003422072,0.0002523641,0.00008527591],"domain_scores_gemma":[0.9937398,0.003772296,0.000373931,0.0007490189,0.001031758,0.0003330537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01009321,0.003119996,0.651987,0.0004309549,0.002495947,0.0002641612,0.0005066889,0.06025872,0.00559436,0.001956335,0.02053379,0.2427589],"study_design_scores_gemma":[0.001671341,0.005031323,0.2445104,0.0002654279,0.001560098,0.0004175951,0.0004195375,0.729177,0.005264892,0.004554651,0.006993075,0.0001346498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148511,0.00102084,0.06437609,0.001495798,0.0003667785,0.001043163,0.01190335,0.001384112,0.00355875],"genre_scores_gemma":[0.9362922,0.0003685969,0.04732409,0.0002378863,0.0001522903,0.0008411005,0.01216369,0.0001515202,0.002468668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265259,"threshold_uncertainty_score":0.06691408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209596823644147,"score_gpt":0.2582879047807851,"score_spread":0.2461919365443437,"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."}}