{"id":"W4319302341","doi":"10.7326/m22-2216","title":"Risk Model–Based Lung Cancer Screening","year":2023,"lang":"en","type":"article","venue":"Annals of Internal Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Lung cancer screening; Cost effectiveness; Quality-adjusted life year; Lung cancer; Cohort; Risk assessment; Cohort study; Cancer screening; Cancer; Internal medicine; Risk analysis (engineering)","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":[],"consensus_categories":[],"category_scores_codex":[0.000334646,0.0001589152,0.0004350515,0.0002412465,0.00003751428,0.000003536789,0.0001049351,0.00005034568,0.0004140429],"category_scores_gemma":[0.0001994477,0.0001068866,0.0001410182,0.0003047786,0.00009724244,0.0000428677,0.00003429222,0.0001630388,0.00001362469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004211026,"about_ca_system_score_gemma":0.00007712465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002423947,"about_ca_topic_score_gemma":0.00005748771,"domain_scores_codex":[0.9986551,0.00002473535,0.0003647389,0.0002391553,0.0004498639,0.0002664333],"domain_scores_gemma":[0.9989889,0.0001238451,0.0001856904,0.0002650158,0.0002477912,0.0001887838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000902146,0.0002056287,0.5766485,0.000446573,0.001135904,0.0002061449,0.0006743808,0.006229355,0.0008288747,0.00016018,0.3708002,0.04176213],"study_design_scores_gemma":[0.009563178,0.002473661,0.2996698,0.01413168,0.001306968,0.0000174714,0.0002456607,0.6207672,0.04240922,0.0004422869,0.008623433,0.0003494207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264313,0.005936914,0.004773067,0.05715247,0.0004489404,0.0004567317,0.00008534567,0.0001570683,0.004558173],"genre_scores_gemma":[0.9903988,0.002806528,0.0003152281,0.004676155,0.0003823134,0.00007717172,0.00002325329,0.00002719013,0.001293331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6145378,"threshold_uncertainty_score":0.4533479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06781839115030878,"score_gpt":0.4129399971253594,"score_spread":0.3451216059750506,"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."}}