{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002699964,0.0003061555,0.0004663382,0.0008875233,0.002223815,0.00326491,0.0008806709,0.01694068,0.005256382],"category_scores_gemma":[0.01513307,0.0002981338,0.0003911701,0.001003,0.002945205,0.002771196,0.00099074,0.01067163,0.001043778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003505442,"about_ca_system_score_gemma":0.005577621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03590994,"about_ca_topic_score_gemma":0.07432893,"domain_scores_codex":[0.9975042,0.0009003765,0.0002817092,0.0002201759,0.0007076389,0.0003859658],"domain_scores_gemma":[0.9877731,0.006359904,0.001263465,0.0002793998,0.001780815,0.002543329],"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":[0.0001521594,0.0002612197,0.1414084,0.0002671665,0.00005511747,0.02328591,0.002698305,0.0002370174,0.001315799,0.02765624,0.6943014,0.1083613],"study_design_scores_gemma":[0.000133098,0.0003938587,0.09506367,0.001570429,0.0001227881,0.05186,0.01193628,0.003055519,0.0007150615,0.05477519,0.7801651,0.0002090441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005232908,0.002057693,0.0002428143,0.9824032,0.001899278,0.000007694041,0.00004956273,0.00001612567,0.008090681],"genre_scores_gemma":[0.1503869,0.008639837,0.001158501,0.7885361,0.04330646,0.00003853933,0.00008843944,0.00003203535,0.007813211],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03590994,"threshold_uncertainty_score":0.07140183,"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."}}