{"id":"W4378347686","doi":"10.3390/curroncol30050368","title":"Characterizing Variability in Lung Cancer Outcomes and Influence of a Lung Diagnostic Assessment Program in Southeastern Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Lung Health Foundation","keywords":"Lightweight Directory Access Protocol; Medicine; Lung cancer; Cohort; Proportional hazards model; Database; Cancer registry; Population; Internal medicine; Oncology; Cancer; Directory; Computer science","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":[0.001562771,0.0002832761,0.0003880961,0.001082835,0.002394103,0.001247495,0.00159483,0.0003290664,0.001350424],"category_scores_gemma":[0.006732989,0.0002906667,0.000605027,0.003292749,0.001068495,0.0003871183,0.00115314,0.0004986454,0.0001230465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03437454,"about_ca_system_score_gemma":0.03952283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918913,"about_ca_topic_score_gemma":0.9954368,"domain_scores_codex":[0.9973739,0.000290561,0.0002237731,0.0005180938,0.0008546368,0.0007390427],"domain_scores_gemma":[0.9918441,0.0007770156,0.002676456,0.000387644,0.002868452,0.001446328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000332233,0.000007364309,0.9968765,0.00001982467,0.00004028486,0.00003095388,0.0004131114,0.0001327513,0.00007123613,0.00005380438,0.0006762455,0.001644671],"study_design_scores_gemma":[0.000004464755,0.00001135714,0.9982296,0.00002947222,0.00002041945,0.00002914048,0.0006571528,0.0003143029,0.0000382777,0.00002515765,0.0006348712,0.00000586041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888249,0.0007941411,0.0004464634,0.001046113,0.0000203165,0.00007315164,0.006333885,0.00002049698,0.00244062],"genre_scores_gemma":[0.9977436,0.0002148485,0.0001804447,0.000111092,0.000007421486,0.00002090207,0.001421136,0.000005871741,0.0002948611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03437454,"threshold_uncertainty_score":0.2494059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604605171003551,"score_gpt":0.4086817786833689,"score_spread":0.3726357269733334,"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."}}