{"id":"W4229441080","doi":"10.3390/curroncol29050268","title":"COVID-19 Impact on Diagnosis and Staging of Colorectal Cancer: A Single Tertiary Canadian Oncology Center Experience","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Medicine; Pandemic; Colonoscopy; Colorectal cancer; Coronavirus disease 2019 (COVID-19); Stage (stratigraphy); General surgery; Cancer; Medical diagnosis; Internal medicine; Disease; Surgery; Infectious disease (medical specialty); Radiology","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":[0.0008775498,0.0005423457,0.0003294346,0.0006672019,0.005786394,0.001584961,0.001410772,0.0007231892,0.004583377],"category_scores_gemma":[0.002852726,0.0004515858,0.0003819112,0.002055937,0.001083166,0.000509964,0.002139979,0.001196765,0.0004020276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04464136,"about_ca_system_score_gemma":0.06396275,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9429708,"about_ca_topic_score_gemma":0.9824964,"domain_scores_codex":[0.9983004,0.0001060761,0.00005732701,0.0001563908,0.0004191886,0.0009606837],"domain_scores_gemma":[0.9955154,0.0001823863,0.0003877572,0.00006489317,0.0007625244,0.003087073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004529823,0.0005084015,0.922519,0.0002799938,0.00008605794,0.004753564,0.007560766,0.0004664848,0.001547967,0.0005026151,0.01960765,0.04171471],"study_design_scores_gemma":[0.00008735814,0.0007194428,0.9507757,0.0002519657,0.00006105303,0.003393166,0.02525686,0.0006508733,0.0003868117,0.0001238313,0.0182011,0.00009179262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837731,0.001290433,0.0002224061,0.003904726,0.0001451755,0.000227494,0.001025049,0.00004066613,0.009370832],"genre_scores_gemma":[0.993331,0.001257468,0.0005738662,0.00152933,0.0000739282,0.00004985173,0.0007407891,0.00003226208,0.002411514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05702919,"threshold_uncertainty_score":0.3238972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1863097196723872,"score_gpt":0.5073051343131338,"score_spread":0.3209954146407467,"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."}}