{"id":"W3204695397","doi":"10.21203/rs.3.rs-862115/v1","title":"The Impact of Delays During the Pandemic Months on Survival of Lung Cancer Patients in Canada in 2020.","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Brock University","funders":"","keywords":"Lung cancer; Medicine; Incidence (geometry); Pandemic; Cancer; Population; Stage (stratigraphy); Demography; Coronavirus disease 2019 (COVID-19); Internal medicine; Disease; 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":[0.0005595909,0.0002251221,0.0001723529,0.0004627937,0.001000337,0.0008639391,0.0004540332,0.0003428952,0.002584314],"category_scores_gemma":[0.003103268,0.00009344325,0.0005163053,0.0007855312,0.0002991092,0.0003331133,0.0006932334,0.0007651242,0.0001722677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01841481,"about_ca_system_score_gemma":0.02781493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9631847,"about_ca_topic_score_gemma":0.9789602,"domain_scores_codex":[0.9993073,0.00006666654,0.00002029333,0.00004260812,0.0001854595,0.0003777703],"domain_scores_gemma":[0.9978698,0.0001942014,0.0004518686,0.00003066188,0.0006751969,0.0007781892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000422752,0.00006348178,0.9675286,0.00009271838,0.000111544,0.00018173,0.0003089802,0.002218883,0.0002182085,0.0004503604,0.005259162,0.02314359],"study_design_scores_gemma":[0.0000155023,0.0001265254,0.9931353,0.00005771785,0.00007899929,0.0001001375,0.001228312,0.001540506,0.0002251105,0.0001579419,0.003316554,0.00001726294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739513,0.002870397,0.0001596481,0.005752777,0.00009783581,0.00004466572,0.008860475,0.00002042848,0.008242319],"genre_scores_gemma":[0.9964586,0.0006099366,0.0001125667,0.0002361139,0.0000168421,0.000007469327,0.001342359,0.000002760498,0.001213328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03681529,"threshold_uncertainty_score":0.1336094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0777590365759585,"score_gpt":0.4402367784921488,"score_spread":0.3624777419161903,"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."}}