{"id":"W2782418016","doi":"10.21037/tlcr.2017.12.13","title":"Can population data guide surveillance strategies for second primary lung cancers?","year":2018,"lang":"en","type":"letter","venue":"Translational Lung Cancer Research","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Cancer Care Ontario","funders":"","keywords":"Medicine; Lung cancer; Lung; Oncology; Lung cancer screening; Population; Primary (astronomy); Cancer; Internal medicine; 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":[0.01038665,0.0006824167,0.001370965,0.001472003,0.00111873,0.002686112,0.002451564,0.01469154,0.007998108],"category_scores_gemma":[0.0704408,0.0004117515,0.0008017302,0.0009908439,0.001622296,0.007175414,0.002388303,0.02209863,0.00728491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00327097,"about_ca_system_score_gemma":0.003356354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00544282,"about_ca_topic_score_gemma":0.007564773,"domain_scores_codex":[0.9932485,0.003858028,0.0009181236,0.0004751723,0.001156661,0.0003435635],"domain_scores_gemma":[0.9598362,0.02506609,0.002132571,0.001687836,0.009301964,0.001975231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009551065,0.0001153528,0.01008785,0.0004900301,0.0000607643,0.001500423,0.000251365,0.0004272775,0.0003104832,0.01065026,0.830111,0.1458996],"study_design_scores_gemma":[0.0002372863,0.0002079562,0.01006192,0.00476775,0.0001393228,0.00421517,0.001665508,0.003067835,0.0004206241,0.1009971,0.8740898,0.000129706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006402504,0.009727792,0.001264747,0.979573,0.005925495,0.00003687775,0.0003018862,0.00005776135,0.0024722],"genre_scores_gemma":[0.0265171,0.03031483,0.007768726,0.8622387,0.06868097,0.0002785876,0.0008322406,0.00007667446,0.00329228],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01469154,"threshold_uncertainty_score":0.05493057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1059170567017982,"score_gpt":0.4514996344296954,"score_spread":0.3455825777278972,"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."}}