{"id":"W4393032489","doi":"10.1101/2024.03.20.24304332","title":"Impact of COVID-19 Pandemic on Colonoscopy Wait Times by Procedure Indication","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Colonoscopy; Medicine; Coronavirus Infections; Betacoronavirus; Virology; Internal medicine; Outbreak; Colorectal cancer; Infectious disease (medical specialty)","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":[0.0008491711,0.000272193,0.000151912,0.0006813753,0.000562173,0.0007612058,0.0005595608,0.0002646811,0.003089533],"category_scores_gemma":[0.005626937,0.0001693255,0.0005266748,0.001335758,0.0003790697,0.0003347056,0.0008393219,0.0008251133,0.0001853498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00902612,"about_ca_system_score_gemma":0.01050046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7928895,"about_ca_topic_score_gemma":0.8117362,"domain_scores_codex":[0.9990922,0.0001079346,0.00006863313,0.000153186,0.0002018949,0.0003761713],"domain_scores_gemma":[0.9951024,0.0005485005,0.002481266,0.0001422588,0.0008515819,0.0008739488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006950413,0.00001522809,0.9948444,0.00003395476,0.00003304213,0.00004015787,0.0001213004,0.0004428525,0.000134008,0.00008314026,0.001300557,0.002881835],"study_design_scores_gemma":[0.00000272096,0.0000282319,0.9984379,0.0000178688,0.00000790685,0.00003098862,0.0002558686,0.0005916524,0.00007327842,0.00001591477,0.0005323554,0.000005184658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818062,0.0005509983,0.0005359515,0.001273722,0.00003341873,0.0000600254,0.01302224,0.0000474889,0.002669901],"genre_scores_gemma":[0.9961969,0.0001691442,0.0002877002,0.0001571945,0.00001414679,0.00002654188,0.002830103,0.000006086397,0.0003122131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7928895,"threshold_uncertainty_score":0.4166603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0722435879446679,"score_gpt":0.4431090310785044,"score_spread":0.3708654431338365,"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."}}