{"id":"W4407301544","doi":"10.1001/jamanetworkopen.2024.58916","title":"Lung Cancer Screening and USPSTF Recommendations","year":2025,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Task force; Lung cancer screening; Medicine; Lung cancer; Smoking history; Cancer; Family medicine; Physical therapy; Internal medicine; Political 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883076,0.0000876546,0.0001974874,0.00002952757,0.0001651902,0.0001360268,0.00008969317,0.00004783181,0.0003640669],"category_scores_gemma":[0.00001492684,0.00007184997,0.00003061545,0.0002146729,0.0000180173,0.0001241179,0.0002015963,0.000104039,0.0000031537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250963,"about_ca_system_score_gemma":0.00009565029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009449229,"about_ca_topic_score_gemma":0.0003055635,"domain_scores_codex":[0.9993799,0.0000325802,0.0001416016,0.0002137477,0.00006016976,0.0001719683],"domain_scores_gemma":[0.9995502,0.0001072168,0.00004207803,0.0001867324,0.00004229453,0.00007153288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008307474,0.00003865731,0.4807984,0.00003119607,0.0002896985,0.000005700381,0.00005162214,0.00007841578,8.439802e-7,0.001475234,0.4096878,0.1074593],"study_design_scores_gemma":[0.00304633,0.00004972554,0.5324162,0.002290463,0.0003906257,0.000003479872,0.00005132406,0.002753274,0.00002887065,0.0002332167,0.4586403,0.00009616049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1532736,0.03627967,0.001893153,0.6440454,0.001371952,0.003705577,0.00005213258,0.0001224159,0.1592561],"genre_scores_gemma":[0.9569275,0.006652257,0.009187113,0.01281397,0.0006134441,0.0007371173,0.00008440053,0.00002065875,0.01296356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8036539,"threshold_uncertainty_score":0.3986277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473211679899993,"score_gpt":0.3791045790257809,"score_spread":0.354372462226781,"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."}}