{"id":"W3030965370","doi":"10.1097/coc.0000000000000716","title":"Population-based Treatment Patterns and Outcomes for Stage III Non–Small Cell Lung Cancer Patients","year":2020,"lang":"en","type":"article","venue":"American Journal of Clinical Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada); Alberta Health Services","funders":"","keywords":"Medicine; Stage (stratigraphy); Cancer registry; Internal medicine; Population; Chemoradiotherapy; Radiation therapy; Confidence interval; Cohort; Lung cancer; Cancer; Medical record; Palliative care; Oncology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004914887,0.0001908723,0.0002317969,0.0008936968,0.0009088629,0.0006864906,0.0006017984,0.0003047702,0.001137767],"category_scores_gemma":[0.001646858,0.0001446298,0.0004124435,0.002291317,0.0004257649,0.0002614584,0.000432331,0.0004560146,0.0001177084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005323293,"about_ca_system_score_gemma":0.00573933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6762491,"about_ca_topic_score_gemma":0.7583799,"domain_scores_codex":[0.9993913,0.00004653481,0.0000496239,0.0001316592,0.0001887155,0.0001921146],"domain_scores_gemma":[0.9988495,0.00007876916,0.0004912764,0.00004499291,0.0002569325,0.0002785138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001821203,0.000006784872,0.9989868,0.00000412711,0.00001802906,0.00001870487,0.00004529506,0.00005416638,0.00004647372,0.00001495967,0.0001802332,0.0006062857],"study_design_scores_gemma":[0.000002703202,0.00001326278,0.9992868,0.000004971437,0.000009432608,0.00005970656,0.000197174,0.0001703666,0.00002115309,0.00001724502,0.0002142119,0.000003047002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996576,0.0003047405,0.00008139534,0.0001651969,0.000004731906,0.00001959147,0.00204716,0.000007731491,0.0007933587],"genre_scores_gemma":[0.9986749,0.00009103127,0.00005055672,0.00002994479,0.000002798868,0.000006134279,0.001085569,0.000001648802,0.00005734654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6762491,"threshold_uncertainty_score":0.651315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05548615419366075,"score_gpt":0.4392587690740093,"score_spread":0.3837726148803486,"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."}}