{"id":"W4404404889","doi":"10.1016/j.lana.2024.100936","title":"Real-world cost-effectiveness of multi-gene panel sequencing to inform therapeutic decisions for advanced non-small cell lung cancer: a population-based study","year":2024,"lang":"en","type":"article","venue":"The Lancet Regional Health - Americas","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Queen's University; University of British Columbia","funders":"Ipsen; Servier; Astellas Pharma; Genome British Columbia; Genome Canada; Incyte; Terry Fox Research Institute; Eisai; Sanofi; AstraZeneca Canada; AstraZeneca; Pfizer; Amgen","keywords":"Lung cancer; Population; Panel discussion; Oncology; Medicine; Business; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.009615612,0.0005630632,0.0006433311,0.0009103731,0.0005421137,0.001383534,0.001285432,0.001258631,0.001683449],"category_scores_gemma":[0.03536483,0.0004872098,0.001972512,0.001598638,0.0007766348,0.001127349,0.001119881,0.001563332,0.0002334533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004033397,"about_ca_system_score_gemma":0.001822166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04249071,"about_ca_topic_score_gemma":0.03390238,"domain_scores_codex":[0.9923031,0.005047779,0.0004252239,0.001062552,0.0006664011,0.0004948601],"domain_scores_gemma":[0.9824907,0.00937117,0.004572532,0.001375456,0.001121157,0.001068926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004786938,0.001293752,0.9657676,0.0001114117,0.002708475,0.0001953283,0.0002452986,0.008967672,0.0001805882,0.0005187495,0.001369413,0.01385477],"study_design_scores_gemma":[0.001374256,0.005922882,0.9014651,0.0002223642,0.003530302,0.0008343889,0.001117723,0.08136723,0.0004249616,0.001688835,0.001928721,0.0001232233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977778,0.0004029624,0.0005263489,0.000238006,0.00001365732,0.00006250188,0.0006584657,0.000006100987,0.0003141286],"genre_scores_gemma":[0.9984506,0.0001359257,0.0006635202,0.0001085575,0.00001459497,0.00006141978,0.0004840604,0.000003936656,0.00007719432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04249071,"threshold_uncertainty_score":0.08448678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1800643310303194,"score_gpt":0.4806961889388904,"score_spread":0.3006318579085711,"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."}}