{"id":"W3128214327","doi":"10.1177/0194599820983732","title":"The Impact of COVID‐19 on Otolaryngology Community Practice in Massachusetts","year":2021,"lang":"en","type":"article","venue":"Otolaryngology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Otorhinolaryngology; Staffing; Medicine; Private practice; Coronavirus disease 2019 (COVID-19); Family medicine; Public health; Health care; Government (linguistics); Pandemic; Medical emergency; Nursing; Disease; Surgery; Infectious disease (medical specialty); Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002005718,0.0002398903,0.0006911543,0.0002318433,0.0003162967,0.00001606702,0.0002763797,0.0003753759,0.0002299848],"category_scores_gemma":[0.02177058,0.0001719295,0.0002221488,0.0005998823,0.0003268706,0.000105341,0.0001729519,0.001716853,0.00005656868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000586602,"about_ca_system_score_gemma":0.003630206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157442,"about_ca_topic_score_gemma":0.00410046,"domain_scores_codex":[0.9953872,0.002813092,0.0005897425,0.0003043842,0.0002533873,0.0006521743],"domain_scores_gemma":[0.9898055,0.007912407,0.0002768091,0.00121602,0.000311633,0.0004776919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007842764,0.003694546,0.9295413,0.0007907993,0.0006502296,0.005903644,0.007783919,0.0001780578,0.01362686,0.008807921,0.01558104,0.005598861],"study_design_scores_gemma":[0.003341176,0.002935222,0.9370036,0.00008525638,0.00007347607,0.002939648,0.00100957,0.00009451267,0.0008100366,0.001360783,0.05016691,0.0001798588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351845,0.001377407,0.00005246239,0.05314536,0.0001854345,0.0005906909,0.00003021809,0.00005021273,0.009383718],"genre_scores_gemma":[0.9849054,0.0006895439,0.0001820784,0.01376298,0.0000792535,0.00003818684,0.00006838594,0.00002953037,0.0002446709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04972088,"threshold_uncertainty_score":0.9950076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05969343915291241,"score_gpt":0.4233919189450006,"score_spread":0.3636984797920882,"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."}}