{"id":"W4281945968","doi":"10.1200/jco.2022.40.16_suppl.1522","title":"Imaging and physician visits at cancer diagnosis: COVID-19 pandemic impact on cancer care.","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; Queen's University; Institute of Health Services and Policy Research; University of Toronto","funders":"","keywords":"Medicine; Pandemic; Cancer; Medical diagnosis; Coronavirus disease 2019 (COVID-19); Cohort; Emergency medicine; Internal medicine; Radiology; Disease","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":[0.0008371231,0.0002107781,0.0001872837,0.0005785308,0.0007073552,0.0008491465,0.0007349527,0.000454494,0.00400734],"category_scores_gemma":[0.005717443,0.0001872876,0.000635889,0.00157433,0.0006133351,0.0005867587,0.001108251,0.001049097,0.0002444331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01136246,"about_ca_system_score_gemma":0.0123386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9145421,"about_ca_topic_score_gemma":0.9404749,"domain_scores_codex":[0.9991409,0.0001321299,0.0000521992,0.0001141593,0.0002246067,0.0003360044],"domain_scores_gemma":[0.9962231,0.0004600346,0.001857081,0.00009291239,0.0006279876,0.0007389669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005181923,0.0000138439,0.9924186,0.00004611914,0.00004228286,0.00005239817,0.0002114653,0.0003226946,0.00004490577,0.0001160855,0.002852687,0.003827122],"study_design_scores_gemma":[0.000004196696,0.00001977018,0.9970759,0.00004906742,0.00002230402,0.00005687476,0.0006276456,0.000734558,0.0000252966,0.00004379845,0.001334628,0.000005774438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550077,0.003281909,0.0004003658,0.01080996,0.0001078627,0.00008900189,0.02105306,0.00004153722,0.009208613],"genre_scores_gemma":[0.9945505,0.0007989447,0.0002101525,0.0004686794,0.00004210569,0.00001863835,0.00305318,0.000009892677,0.0008477712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9145421,"threshold_uncertainty_score":0.1719223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2559519701710419,"score_gpt":0.6085596925311543,"score_spread":0.3526077223601123,"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."}}