{"id":"W4390752726","doi":"10.3390/curroncol31010029","title":"Head and Neck Cancer Patient Population, Management, and Oncologic Outcomes from the COVID-19 Pandemic","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Head and neck cancer; Cancer; Population; Internal medicine; Pandemic; Radiation therapy; Stage (stratigraphy); Head and neck; Coronavirus disease 2019 (COVID-19); Oncology; Surgery; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008921674,0.000147799,0.0002891165,0.0005642599,0.0006723769,0.0008445245,0.0003464233,0.0005134137,0.001141409],"category_scores_gemma":[0.002995015,0.0001687292,0.0004257261,0.001014542,0.0003522483,0.0008236893,0.000907842,0.0006647364,0.0002156599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000929516,"about_ca_system_score_gemma":0.001081796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132405,"about_ca_topic_score_gemma":0.01667895,"domain_scores_codex":[0.9993194,0.0001402016,0.0000645289,0.0001385608,0.000120418,0.0002167844],"domain_scores_gemma":[0.9985857,0.0001535669,0.0007405891,0.00006805645,0.0001595301,0.0002926403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005712443,0.00002696816,0.9985424,0.000004304827,0.00001128694,0.0000792435,0.00007256102,0.00003626033,0.00007548973,0.00001059541,0.000121595,0.0009620629],"study_design_scores_gemma":[0.000002372185,0.00005115513,0.9991002,0.000004503371,0.000005624251,0.0001596429,0.0004569044,0.00004743437,0.00002077153,0.0000163312,0.0001312562,0.00000376189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988346,0.0001848189,0.00002675908,0.0001118296,0.00000785907,0.000008833224,0.0004116322,0.000001288224,0.0004124943],"genre_scores_gemma":[0.9986823,0.0001549948,0.00002297974,0.00007210077,0.00001518752,0.00001176362,0.0009387478,0.000001293626,0.0001006041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0132405,"threshold_uncertainty_score":0.02632684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3364092776396523,"score_gpt":0.540573815760791,"score_spread":0.2041645381211387,"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."}}