{"id":"W4324129235","doi":"10.2196/43586","title":"Disparity in Lung Cancer Screening Among Smokers and Nonsmokers in China: Prospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Medical Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Medicine; Lung cancer; Prospective cohort study; Lung cancer screening; Cancer; Computed tomography; Cohort study; Environmental health; Cohort; Oncology; Internal medicine; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001912023,0.0003766528,0.0004519136,0.0009525116,0.0009184963,0.000700868,0.0006176232,0.0006124306,0.0008797688],"category_scores_gemma":[0.002082467,0.0004857993,0.0007653437,0.001382072,0.0003973924,0.0005787855,0.0006866778,0.0006637008,0.0001460473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008795568,"about_ca_system_score_gemma":0.001167396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03190363,"about_ca_topic_score_gemma":0.03852949,"domain_scores_codex":[0.9987994,0.0002032857,0.0001499779,0.0003685509,0.0002367008,0.0002419801],"domain_scores_gemma":[0.9985966,0.0001344727,0.000413576,0.0002360489,0.0002202094,0.0003990974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003563791,0.0000221478,0.9993796,0.000004976946,0.00003700883,0.00002632029,0.0000684856,0.000009431641,0.00005504847,0.00001389341,0.00004036545,0.0003070137],"study_design_scores_gemma":[0.000005221377,0.00003768854,0.9996214,0.000003115056,0.00002450682,0.00003487615,0.00008642498,0.00008462051,0.00001462288,0.00001301081,0.00007200083,0.000002591423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991388,0.000177,0.00005178191,0.00004285692,0.000006335748,0.00002451808,0.0003521398,0.000002126243,0.0002044006],"genre_scores_gemma":[0.9994375,0.00005988711,0.00004182621,0.00003912043,0.000005139481,0.00001617914,0.0003136912,0.000001095707,0.00008552652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03190363,"threshold_uncertainty_score":0.06343585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934908005258176,"score_gpt":0.344869328143544,"score_spread":0.3255202480909622,"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."}}