{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000286385,0.0002433402,0.0005652434,0.00009006097,0.0002971155,0.00005833451,0.00009099259,0.0001280144,0.000009092315],"category_scores_gemma":[0.0004557936,0.0001873301,0.00004697091,0.0003273564,0.0001262135,0.0001121787,0.00009699613,0.000614337,0.000004385563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004837134,"about_ca_system_score_gemma":0.00156457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04325856,"about_ca_topic_score_gemma":0.02686128,"domain_scores_codex":[0.9981251,0.0001018764,0.0003808307,0.0004555057,0.0002821788,0.0006544493],"domain_scores_gemma":[0.9983696,0.0002975425,0.0001040988,0.0002414704,0.00005717199,0.0009301479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008487325,0.00001714795,0.9475949,0.00222346,0.00001437951,0.00003767447,0.02010822,0.00001127934,0.00005298717,0.00009871157,0.009094042,0.02066235],"study_design_scores_gemma":[0.002302685,0.001306987,0.8758109,0.0008911997,0.00002845119,0.00006585806,0.004052304,0.0002544441,0.000009268136,0.00006125155,0.1151243,0.00009230591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760361,0.05517554,0.00001377485,0.06757657,0.0001135202,0.0007094813,0.00004036327,0.0001055439,0.0002291168],"genre_scores_gemma":[0.9371385,0.007386362,0.00008246949,0.05476301,0.0004243881,0.00004644101,0.00002106753,0.00003468442,0.0001030924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060303,"threshold_uncertainty_score":0.990896,"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."}}