{"id":"W4385516319","doi":"10.1177/08465371231186356","title":"Use of Opportunistic CT Biomarkers: Population Health Opportunities in Radiology","year":2023,"lang":"en","type":"letter","venue":"Canadian Association of Radiologists Journal","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Medicine; Population; Radiology; Medical physics; Environmental health","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"],"consensus_categories":[],"category_scores_codex":[0.001110887,0.000265534,0.0008369928,0.001367148,0.00008488597,0.00003469874,0.0002348061,0.0004199925,0.00003823935],"category_scores_gemma":[0.0007834594,0.0003014474,0.0001595747,0.0002910552,0.00007569974,0.0002325983,0.000009439715,0.0013751,0.000003148457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003805615,"about_ca_system_score_gemma":0.0008385281,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01193764,"about_ca_topic_score_gemma":0.01901299,"domain_scores_codex":[0.9973679,0.0004000499,0.001111844,0.0001753191,0.00025239,0.0006925095],"domain_scores_gemma":[0.99783,0.0005339592,0.001080212,0.0001910811,0.0001331461,0.0002315648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003854569,0.000003450888,0.03146625,0.0002068007,0.0002714473,0.0007851416,0.0001123732,0.007721746,0.000006636281,0.000081725,0.9522015,0.007139083],"study_design_scores_gemma":[0.0008896443,0.0001714235,0.1007783,0.0009647612,0.0001058126,0.0009559685,0.0003458362,0.005608321,0.000005255661,0.001991424,0.8872072,0.0009760816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04085253,0.007338228,0.004837684,0.9202934,0.01593099,0.001954693,0.006065179,0.0006667231,0.002060609],"genre_scores_gemma":[0.625821,0.05036778,0.006002735,0.2836002,0.008576637,0.00009272985,0.01604557,0.0009128663,0.008580415],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6366931,"threshold_uncertainty_score":0.9999438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07766658097406823,"score_gpt":0.2680745444525959,"score_spread":0.1904079634785276,"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."}}