{"id":"W4289816336","doi":"10.4236/ojepi.2022.123022","title":"The Impact of Delays during the Pandemic Months on Survival of Lung Cancer Patients in Canada in 2020","year":2022,"lang":"en","type":"article","venue":"Open Journal of Epidemiology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Medicine; Lung cancer; Incidence (geometry); Population; Pandemic; Demography; Cancer; Stage (stratigraphy); Survival analysis; Coronavirus disease 2019 (COVID-19); Surgery; Disease; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004821389,0.00009785596,0.0007749971,0.00008672191,0.00008730146,0.000001777637,0.0004222585,0.00003699081,0.0001648675],"category_scores_gemma":[0.003976394,0.00005057486,0.000105035,0.000235731,0.00004652269,0.00004223881,0.0001607006,0.0007748501,7.875509e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002379,"about_ca_system_score_gemma":0.005024322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.929968,"about_ca_topic_score_gemma":0.8894206,"domain_scores_codex":[0.9967331,0.001428444,0.001175611,0.0001083549,0.0002132253,0.0003412227],"domain_scores_gemma":[0.9946018,0.003962132,0.000985293,0.000200796,0.0001193049,0.0001306942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002182844,0.00005785088,0.9794289,0.00003080166,0.00007412737,0.00003329456,0.0003075069,0.01373013,0.0000511693,0.00001556054,0.002386455,0.0017014],"study_design_scores_gemma":[0.001908981,0.0007460358,0.995869,0.0001494459,0.00001622642,0.00002822828,0.000321202,0.0005089394,0.00000887611,0.00009706539,0.0003054666,0.00004048841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907423,0.001571492,8.711521e-7,0.006863728,0.0002963257,0.000368731,0.00003833314,4.17421e-7,0.0001178147],"genre_scores_gemma":[0.9974939,0.001538665,0.000005326236,0.0008653892,0.00005278499,0.00001058175,0.000001979809,0.000008338006,0.00002309706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04054743,"threshold_uncertainty_score":0.8912932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07729893982142334,"score_gpt":0.4466365083034503,"score_spread":0.3693375684820269,"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."}}