{"id":"W4383480517","doi":"10.1007/s11548-023-02989-w","title":"Deep learning-based age estimation from chest CT scans","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Assisted Radiology and Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saskatoon Medical Imaging; University of Saskatchewan","funders":"Saskatchewan Health Research Foundation","keywords":"Medicine; Lung cancer; Confidence interval; Age groups; Computed tomography; Lung cancer screening; Radiology; Nuclear medicine; Internal medicine; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005748264,0.0007480105,0.0007752735,0.001555826,0.0001520978,0.0004493215,0.0007413794,0.0009562583,0.001341693],"category_scores_gemma":[0.001897539,0.0002971579,0.0007294776,0.000668718,0.0001512307,0.0006337916,0.0007309835,0.0008077853,0.001892679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932741,"about_ca_system_score_gemma":0.0004450245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856491,"about_ca_topic_score_gemma":0.007840306,"domain_scores_codex":[0.999643,0.00005889894,0.00003037475,0.0001170731,0.00006985183,0.00008084536],"domain_scores_gemma":[0.9993647,0.0001895885,0.00009836269,0.00005976106,0.0002336268,0.00005393687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001095662,0.0003550023,0.1059019,0.0002400794,0.0002336741,0.0007767446,0.00007045348,0.06982513,0.02638556,0.001092617,0.01730335,0.7767199],"study_design_scores_gemma":[0.00002033723,0.0001312172,0.0360891,0.00007560391,0.0001099606,0.001304739,0.00005059621,0.9445688,0.01114084,0.002601404,0.003875409,0.00003202571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3879625,0.009904642,0.5797439,0.001167043,0.000479714,0.0001668693,0.01109687,0.005059865,0.004418714],"genre_scores_gemma":[0.9087713,0.002191831,0.07495418,0.0003193747,0.0003381096,0.00008407123,0.008221907,0.0001429556,0.004976225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004856491,"threshold_uncertainty_score":0.009656429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122981389418294,"score_gpt":0.2911700473341423,"score_spread":0.2699402334399594,"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."}}