{"id":"W2167865797","doi":"10.1093/annonc/mds322","title":"Locally advanced head and neck squamous cell cancer: treatment choice based on risk factors and optimizing drug prescription","year":2012,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Squamous cell cancer; Head and neck cancer; Head and neck; Drug; Oncology; Medical prescription; Cancer; Cancer drugs; Internal medicine; Intensive care medicine; Surgery; Pharmacology","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":[0.000124794,0.0001698573,0.0005177667,0.00007420588,0.00008612427,0.000003322978,0.00002528746,0.00008366028,0.00002284034],"category_scores_gemma":[0.00006647946,0.0001240414,0.00005279504,0.00005979919,0.00009295054,0.00007927779,0.00001995233,0.0001080649,0.000001384333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009379025,"about_ca_system_score_gemma":0.0001057396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001912178,"about_ca_topic_score_gemma":0.0005173947,"domain_scores_codex":[0.9991038,0.00007508619,0.0002052983,0.0002045136,0.0001027999,0.0003084851],"domain_scores_gemma":[0.9991825,0.0002887569,0.0001344453,0.0001314151,0.00007354654,0.0001893953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002076039,0.001819223,0.7824994,0.0002616515,0.0001147451,0.000009288992,0.004732109,0.0004507178,0.004338223,0.00001356106,0.002807499,0.2008775],"study_design_scores_gemma":[0.01324985,0.0241277,0.7637512,0.0002556302,0.0003370807,0.000005840291,0.0008273985,0.001104918,0.05047342,0.00001083031,0.1455381,0.0003179723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847366,0.009450045,0.00001565336,0.001827805,0.0001947451,0.0003439241,0.00002845097,0.0000232377,0.003379565],"genre_scores_gemma":[0.9908977,0.00727133,0.0006167543,0.0008352044,0.0001159629,0.00004844844,0.000006593766,0.00001464207,0.0001933837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2005596,"threshold_uncertainty_score":0.5058261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132193737321315,"score_gpt":0.3731085620028792,"score_spread":0.311786624629666,"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."}}