{"id":"W4390827510","doi":"10.3390/curroncol31010030","title":"Real-World Treatment Patterns, Clinical Outcomes, and Healthcare Resource Utilization in Early-Stage Non-Small-Cell Lung Cancer","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada); University of Calgary","funders":"","keywords":"Medicine; Hazard ratio; Internal medicine; Retrospective cohort study; Stage (stratigraphy); Referral; Cancer registry; Lung cancer; Cohort; Confounding; Population; Oncology; Proportional hazards model; Cancer; Family medicine; Confidence interval","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001045169,0.0002293114,0.0003184322,0.00107414,0.0008170467,0.001088353,0.0009009598,0.0005571115,0.0006889599],"category_scores_gemma":[0.003541302,0.0003251722,0.0004447694,0.003117539,0.0006486718,0.0005040949,0.0007095984,0.0006472862,0.0001007626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007079458,"about_ca_system_score_gemma":0.005720784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7251413,"about_ca_topic_score_gemma":0.827747,"domain_scores_codex":[0.9986472,0.000330984,0.0001446822,0.0002355616,0.0002771457,0.0003645531],"domain_scores_gemma":[0.9972127,0.0003496186,0.001350077,0.0001575497,0.0003901245,0.0005399519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002605313,0.0000155751,0.9990933,0.000007128755,0.00003049036,0.00001995423,0.00007508983,0.00008539667,0.00002808009,0.00001841268,0.0001319569,0.0004686066],"study_design_scores_gemma":[0.000003442329,0.00001769979,0.9990038,0.000009622578,0.00001182687,0.00003924055,0.0004058252,0.0003264828,0.00001648605,0.00002156425,0.0001380645,0.000005912793],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997818,0.0002906047,0.0000638092,0.0001650476,0.000005079108,0.00001495679,0.001396118,0.000002993198,0.0002432606],"genre_scores_gemma":[0.9987888,0.0001218772,0.00008175636,0.00005408467,0.000004714927,0.000009729398,0.000876107,0.000001513884,0.00006147339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251413,"threshold_uncertainty_score":0.5529547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1726002115306859,"score_gpt":0.4979628759726945,"score_spread":0.3253626644420086,"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."}}