{"id":"W2948691893","doi":"10.1002/ijc.32486","title":"Lung cancer mortality reduction by LDCT screening—Results from the randomized German LUSI trial","year":2019,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":438,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"AstraZeneca; Les Laboratories Pierre Fabre; Gilead Sciences; Dietmar Hopp Stiftung; Pfizer; Deutsche Forschungsgemeinschaft; Eli Lilly and Company","keywords":"Medicine; Lung cancer; Lung cancer screening; Population; Cancer; Randomized controlled trial; National Lung Screening Trial; Hazard ratio; Randomization; Incidence (geometry); Internal medicine; Surgery; Confidence interval; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003524251,0.001287699,0.002146985,0.000428215,0.0002875348,0.0008677738,0.0005040541,0.001215882,0.003622439],"category_scores_gemma":[0.004312427,0.0002563806,0.003412057,0.000468208,0.0008350397,0.0005145824,0.0005264881,0.00152188,0.0004110005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126371,"about_ca_system_score_gemma":0.0009251159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00203848,"about_ca_topic_score_gemma":0.004065468,"domain_scores_codex":[0.9972908,0.002016329,0.0001285013,0.000253089,0.0001399643,0.0001713056],"domain_scores_gemma":[0.9988574,0.0004328404,0.0003045594,0.000135614,0.00007469146,0.0001949727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8758876,0.002379759,0.004457039,0.008768683,0.01470427,0.0001100762,0.0001447547,0.001775473,0.002771723,0.001384045,0.008365468,0.07925098],"study_design_scores_gemma":[0.8760542,0.05168128,0.03668622,0.001869388,0.01987336,0.0001444844,0.0001139978,0.001248115,0.001375983,0.001545609,0.009312492,0.00009484298],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8412887,0.1272701,0.00206932,0.009006483,0.001593049,0.002866126,0.00594832,0.000307056,0.009650768],"genre_scores_gemma":[0.9679915,0.01355412,0.002014415,0.006164254,0.0007484699,0.002925721,0.004154696,0.00004889978,0.002398013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003622439,"threshold_uncertainty_score":0.01863819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791824589752166,"score_gpt":0.3874451192811368,"score_spread":0.3695268733836151,"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."}}