{"id":"W2943072932","doi":"10.3747/co.26.4555","title":"Cost-of-Illness Study for Non-Small-Cell Lung Cancer Using Real-World Data","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; AstraZeneca (Canada); Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Health Canada; Ontario Institute for Cancer Research; Cancer Research Institute","keywords":"Medicine; Lung cancer; Radiation therapy; Health care; Stage (stratigraphy); Cancer registry; Cancer; Total cost; Disease; Family medicine; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001884595,0.0008613893,0.0007115107,0.002289922,0.000866066,0.00108159,0.00106622,0.0004495555,0.001921732],"category_scores_gemma":[0.007036607,0.0004298326,0.001804817,0.005396054,0.000489095,0.0006436457,0.001093674,0.0008152358,0.0002798519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01783234,"about_ca_system_score_gemma":0.008413181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8852525,"about_ca_topic_score_gemma":0.8693992,"domain_scores_codex":[0.998686,0.0003130547,0.0001001116,0.0001821989,0.0004097854,0.0003088603],"domain_scores_gemma":[0.9951603,0.0008087397,0.001931409,0.0003213807,0.001123009,0.0006551347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008865901,0.0001732878,0.985495,0.000203358,0.001005056,0.0002133154,0.0001375177,0.00436723,0.00007569553,0.0002367933,0.004120914,0.003085221],"study_design_scores_gemma":[0.0001969321,0.0001294187,0.9879479,0.00005145573,0.0002969775,0.0001345605,0.0002497131,0.00889328,0.00004114473,0.00008988968,0.001943306,0.00002559463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397486,0.0006169227,0.0004245725,0.0003207436,0.000015735,0.0003369524,0.05755395,0.00002486557,0.0009575758],"genre_scores_gemma":[0.9509227,0.0003217601,0.0006880817,0.00007077258,0.00001875274,0.0002328193,0.04726039,0.00001127896,0.000473459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8852525,"threshold_uncertainty_score":0.2308464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2345928185915191,"score_gpt":0.5003498770461426,"score_spread":0.2657570584546235,"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."}}