{"id":"W3181988278","doi":"","title":"Lung Cancer Risk and Life-Expectancy-Based Models for Lung Cancer Screening Selection","year":2021,"lang":"en","type":"article","venue":"SFU Undergraduate Research Symposium Journal","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Life expectancy; Lung cancer screening; Medicine; Cancer; False positive paradox; Cancer screening; Intensive care medicine; Incidence (geometry); Oncology; Internal medicine; Environmental health; Population; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00833542,0.001246381,0.001340982,0.001479593,0.0007187261,0.001938128,0.003063166,0.002226454,0.01232905],"category_scores_gemma":[0.02627444,0.0005567956,0.002479965,0.001481356,0.00129591,0.001590283,0.001269733,0.003048118,0.001389493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004343739,"about_ca_system_score_gemma":0.002353644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05389468,"about_ca_topic_score_gemma":0.03373195,"domain_scores_codex":[0.9967138,0.002259881,0.00007361805,0.0002897501,0.0002296865,0.0004332368],"domain_scores_gemma":[0.987062,0.01023302,0.0009619945,0.0003917167,0.0007754009,0.0005757582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005662583,0.0003145786,0.05971206,0.0001710688,0.0004727461,0.0004809453,0.0005060319,0.6671426,0.0001758627,0.2225318,0.01622074,0.03170527],"study_design_scores_gemma":[0.000155221,0.0001614742,0.007711973,0.000110902,0.0002090422,0.0002357039,0.0001271443,0.8872933,0.00006140967,0.09765609,0.006225491,0.00005235924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3910002,0.007458956,0.5045845,0.03574997,0.001266332,0.001241145,0.01036943,0.0006228163,0.0477067],"genre_scores_gemma":[0.915419,0.003603922,0.03495649,0.002241085,0.0006581306,0.0008996024,0.003633322,0.000135706,0.03845267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05389468,"threshold_uncertainty_score":0.1071619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518276651877581,"score_gpt":0.3944460804132629,"score_spread":0.3492633138944871,"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."}}