{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726218,0.0002496216,0.0003168979,0.001219566,0.001390602,0.001357513,0.0007688756,0.000358997,0.002064015],"category_scores_gemma":[0.009282175,0.0001346473,0.0009321434,0.002831351,0.0004819329,0.0004957967,0.0008475944,0.0009882211,0.0001754596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03359235,"about_ca_system_score_gemma":0.05808362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9736866,"about_ca_topic_score_gemma":0.9850842,"domain_scores_codex":[0.998576,0.0001381194,0.00009035139,0.0001186956,0.0005780755,0.0004987092],"domain_scores_gemma":[0.9924899,0.0009680431,0.001525273,0.00009691909,0.003690447,0.001229366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005657622,0.00005021731,0.9628801,0.0004112943,0.0002249395,0.0001900681,0.0009382568,0.002100614,0.0001677765,0.000568243,0.004743986,0.0271587],"study_design_scores_gemma":[0.00002260289,0.0001786528,0.9891605,0.0002643049,0.0002565481,0.0001311173,0.002456275,0.001594681,0.0002977958,0.0002393792,0.005358078,0.00004000203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538264,0.006331536,0.000423647,0.004918469,0.00009190563,0.0001261649,0.02354123,0.00004050221,0.01070013],"genre_scores_gemma":[0.9939213,0.001547301,0.0003666495,0.0003265447,0.00001823668,0.00003354063,0.002967029,0.000006799262,0.0008125872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03359235,"threshold_uncertainty_score":0.2437308,"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."}}