{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002584484,0.0001716914,0.0006416852,0.0001143975,0.00004828693,0.000007256388,0.0002235998,0.00004721341,0.0001223044],"category_scores_gemma":[0.00001519601,0.0001382738,0.00007252342,0.0001904902,0.00004254894,0.0000532036,0.0001937795,0.0001293793,0.000008960098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009442501,"about_ca_system_score_gemma":0.000688529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113998,"about_ca_topic_score_gemma":0.002982445,"domain_scores_codex":[0.9986755,0.00004913853,0.0003379823,0.0004956288,0.0001445637,0.000297179],"domain_scores_gemma":[0.9985119,0.000222339,0.0002407964,0.0007588788,0.0001596717,0.0001064159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002961213,0.003659847,0.9454409,0.0007613433,0.0002596118,0.000008792453,0.0007875332,0.00003716283,0.00009076022,0.00002534678,0.005368865,0.04326364],"study_design_scores_gemma":[0.05155881,0.007358507,0.5491858,0.001960548,0.008390863,0.00001292649,0.003655462,0.04246667,0.003864618,0.00002292945,0.3305584,0.0009645686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989047,0.001483734,0.0001752829,0.0002642513,0.003203261,0.004816457,0.0001849269,0.00001892484,0.0008061572],"genre_scores_gemma":[0.9971166,0.0008433136,0.0004811486,0.00006107168,0.0003914642,0.0006085815,0.0001890449,0.00003192735,0.0002768773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3962552,"threshold_uncertainty_score":0.563864,"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."}}