{"id":"W2809338510","doi":"10.1016/j.pmedr.2018.06.010","title":"Estimating lifetime and 10-year risk of lung cancer","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Lung cancer; Medicine; Environmental health; Oncology; Demography","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":[0.001435484,0.0004095983,0.0002467452,0.001909812,0.0001635955,0.0005157372,0.000442059,0.0003601003,0.002473792],"category_scores_gemma":[0.005025757,0.0001906101,0.0007718976,0.001074619,0.000106232,0.0004605308,0.000503624,0.0003714433,0.0006996975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005341432,"about_ca_system_score_gemma":0.0004800587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031039,"about_ca_topic_score_gemma":0.02333503,"domain_scores_codex":[0.9992356,0.0002328744,0.0001145299,0.0001774514,0.0001815031,0.00005801105],"domain_scores_gemma":[0.9981353,0.0006147219,0.0006434922,0.0001739496,0.000343334,0.00008916263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006674883,0.00002181256,0.9806029,0.0001384713,0.0003066367,0.0001046981,0.0001870805,0.003550267,0.0002556134,0.0003352302,0.002039916,0.0123906],"study_design_scores_gemma":[0.000007701588,0.0001120573,0.9810458,0.0001124787,0.0002716981,0.0005216457,0.0002350676,0.007889553,0.0004115494,0.000609851,0.008755504,0.00002704153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9104699,0.008745079,0.01922059,0.0005784525,0.00009125525,0.0002049808,0.05276758,0.0003193628,0.00760289],"genre_scores_gemma":[0.9570964,0.002350978,0.008267794,0.00008973457,0.00007239038,0.0002843647,0.02884814,0.00003279449,0.002957418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02031039,"threshold_uncertainty_score":0.04038429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0309133753789626,"score_gpt":0.3757505766724804,"score_spread":0.3448372012935177,"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."}}