{"id":"W4309244614","doi":"10.1002/cam4.5389","title":"Evaluating the impact of <scp>COVID</scp>‐19 on cancer declarations in Quebec, Canada","year":2022,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec - Clinical Research Organization in Cancer; McGill University Health Centre","funders":"","keywords":"Medicine; Poisson regression; Cancer; Prostate cancer; Confidence interval; Colorectal cancer; Stage (stratigraphy); Lung cancer; Cancer registry; Relative risk; Internal medicine; Oncology; Breast cancer; Pandemic; Demography; Coronavirus disease 2019 (COVID-19); Disease; Population; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008532387,0.0001891834,0.0004772509,0.000196715,0.0002560677,0.000004289964,0.0001867585,0.00004420508,0.001711562],"category_scores_gemma":[0.002380993,0.0001194888,0.00007122538,0.0008912188,0.0001095758,0.0000379092,0.00005416897,0.0006199977,8.340683e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006875241,"about_ca_system_score_gemma":0.02641349,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944794,"about_ca_topic_score_gemma":0.9844424,"domain_scores_codex":[0.9976559,0.0002119981,0.0004773535,0.0002877443,0.0009405863,0.0004264337],"domain_scores_gemma":[0.9976233,0.001158515,0.000235513,0.0004389654,0.0001667211,0.0003769641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005278624,0.0001856764,0.3840139,0.0005734107,0.0002632404,0.0001468851,0.02374352,0.07790586,0.00775898,0.0001803353,0.471763,0.0329373],"study_design_scores_gemma":[0.005916509,0.002685741,0.9045961,0.0008240253,0.0002295375,0.00002549033,0.006717252,0.005660763,0.0001722325,0.0001355133,0.07290814,0.0001286833],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471157,0.008173442,0.00001114727,0.04235738,0.0005905135,0.0008399127,0.0001136091,0.00002093632,0.0007773212],"genre_scores_gemma":[0.9780016,0.0003911521,0.000005700352,0.01788611,0.0005475231,0.0003840066,0.00003759099,0.00002510346,0.00272122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205822,"threshold_uncertainty_score":0.999201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1745920610476852,"score_gpt":0.5060196982239722,"score_spread":0.331427637176287,"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."}}