{"id":"W3047989485","doi":"10.1002/cncr.33114","title":"Development and validation of a Surgical Prioritization and Ranking Tool and Navigation Aid for Head and Neck Cancer (SPARTAN‐HN) in a scarce resource setting: Response to the COVID‐19 pandemic","year":2020,"lang":"en","type":"article","venue":"Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sinai Health System; Sunnybrook Health Science Centre; Western University; McMaster University; University Health Network; University of Toronto; Dalhousie University; Princess Margaret Cancer Centre; Public Health Ontario","funders":"National Cancer Institute","keywords":"Medicine; Triage; Ranking (information retrieval); Rank correlation; Pandemic; Delphi method; Spearman's rank correlation coefficient; Head and neck; Head and neck cancer; Coronavirus disease 2019 (COVID-19); Cancer; Surgery; Disease; Medical emergency; Machine learning; Internal medicine; Artificial intelligence; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.0004908291,0.00009443412,0.0002324172,0.00003904426,0.0001175796,0.00001734661,0.00001922639,0.00004671509,0.000003223468],"category_scores_gemma":[0.0002281325,0.0000737458,0.000009844643,0.0001564754,0.00005931203,0.0000502129,0.00004143344,0.00007419161,6.209808e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115408,"about_ca_system_score_gemma":0.0002182975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007945292,"about_ca_topic_score_gemma":0.000207171,"domain_scores_codex":[0.999211,0.0000640585,0.0002246259,0.0002468151,0.0001228962,0.0001305688],"domain_scores_gemma":[0.9994897,0.0002299139,0.00006112447,0.00005168192,0.0000528684,0.0001147361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008916415,0.00001617701,0.8303951,0.001163409,0.00005713775,0.000008330891,0.05573979,0.00009638861,0.01324063,0.00004210078,0.0007228115,0.08960171],"study_design_scores_gemma":[0.01374441,0.000591082,0.3627306,0.00218734,0.0001431003,0.00006694012,0.002401367,0.002024407,0.007677272,0.00004485538,0.6080248,0.0003638098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758658,0.005619575,0.000161079,0.0175464,0.00002041059,0.0007431026,0.00001954902,0.00001414683,0.000009976451],"genre_scores_gemma":[0.9961854,0.001193672,0.0006114817,0.00163357,0.00008821191,0.0002277052,0.000009805466,0.0000110312,0.00003916386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.607302,"threshold_uncertainty_score":0.3007267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06441888983932038,"score_gpt":0.3639874977129942,"score_spread":0.2995686078736738,"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."}}