{"id":"W3036837190","doi":"10.1002/hed.26345","title":"<scp>COVID</scp>‐19 pandemic and health care disparities in head and neck cancer: Scanning the horizon","year":2020,"lang":"en","type":"article","venue":"Head & Neck","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; Doris Duke Charitable Foundation","keywords":"Health equity; Ethnic group; Pandemic; Health care; Medicine; Socioeconomic status; Triage; Telemedicine; Head and neck cancer; Public health; Business; Coronavirus disease 2019 (COVID-19); Cancer; Political science; Environmental health; Medical emergency; Nursing; Economic growth; Economics; Disease; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003874399,0.0005867251,0.0007813929,0.002424428,0.003115824,0.007592133,0.002470869,0.008332077,0.2326592],"category_scores_gemma":[0.02452818,0.0004146085,0.00102905,0.00303759,0.003013933,0.004284866,0.005882471,0.005464354,0.04468918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006128204,"about_ca_system_score_gemma":0.0161541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04537093,"about_ca_topic_score_gemma":0.100923,"domain_scores_codex":[0.9964964,0.0009063199,0.0003220495,0.0003108812,0.001413429,0.0005510051],"domain_scores_gemma":[0.9718522,0.008992715,0.002189859,0.001693656,0.01004882,0.00522267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001182169,0.00001212963,0.0006646989,0.0001134231,0.000004195449,0.00005917888,0.00006246199,0.000025186,0.00004369036,0.001258409,0.9812884,0.01645642],"study_design_scores_gemma":[0.00002197213,0.00002914873,0.005922226,0.001860179,0.00001263203,0.000245267,0.0008631489,0.0001722719,0.0001867109,0.004329018,0.9863166,0.00004091145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001903918,0.01056801,0.0007275979,0.7627158,0.03545316,0.0003031447,0.01296352,0.0007119913,0.1746528],"genre_scores_gemma":[0.05615985,0.04208666,0.006164774,0.5954251,0.07469495,0.001107981,0.01760406,0.00116937,0.2055871],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2326592,"threshold_uncertainty_score":0.7783226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185544047162444,"score_gpt":0.4113385336701644,"score_spread":0.29278412895392,"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."}}