{"id":"W4387264661","doi":"10.3390/curroncol30100648","title":"Canadian Landscape Assessment of Colorectal Cancer Screening during the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Medicine; Pandemic; Colorectal cancer; Family medicine; Fecal occult blood; Health care; KRAS; Colorectal cancer screening; Intervention (counseling); Coronavirus disease 2019 (COVID-19); Colonoscopy; Nursing; Cancer; Pathology; Disease; Internal medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001521092,0.0002843067,0.0002976561,0.002581223,0.005767762,0.002858247,0.001434998,0.0004680261,0.002953135],"category_scores_gemma":[0.005680227,0.0002652435,0.0005356889,0.005992284,0.001294247,0.0009304624,0.002684668,0.0007543517,0.0001487282],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09104772,"about_ca_system_score_gemma":0.08129311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927219,"about_ca_topic_score_gemma":0.9964408,"domain_scores_codex":[0.9979593,0.0003030765,0.00005525937,0.0001428622,0.0007658925,0.0007736724],"domain_scores_gemma":[0.9961218,0.000259202,0.0003874565,0.00009569345,0.002303546,0.0008321642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002883279,0.0001952485,0.7881867,0.0006562289,0.0001667958,0.001357836,0.05381814,0.005231285,0.001217782,0.007435435,0.03763337,0.1038128],"study_design_scores_gemma":[0.00001251239,0.00009508637,0.8862468,0.0002141374,0.0000560555,0.0001736229,0.07738651,0.00434663,0.0002090218,0.0007973056,0.0303727,0.00008970621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304032,0.001406305,0.001391504,0.009580664,0.00006019727,0.0004891955,0.006309336,0.00009174787,0.05026786],"genre_scores_gemma":[0.995156,0.0005975025,0.001098896,0.0004148251,0.000006996139,0.00007966236,0.001202978,0.00001386441,0.001429143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9089523,"threshold_uncertainty_score":0.6606005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2753544109830801,"score_gpt":0.5403876794458279,"score_spread":0.2650332684627478,"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."}}