{"id":"W3004255953","doi":"10.1177/0194599819900794","title":"Intraoperative Primary Tumor Identification and Margin Assessment in Head and Neck Unknown Primary Tumors","year":2020,"lang":"en","type":"article","venue":"Otolaryngology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Science for Equity, Empowerment and Development Division; QEII Foundation","keywords":"Medicine; Head and neck; Margin (machine learning); Identification (biology); Primary (astronomy); Primary tumor; Head and neck cancer; Radiology; Surgery; Internal medicine; Computer science; Biology; Radiation therapy; Cancer; Metastasis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001643354,0.0001547176,0.0005294587,0.00007891795,0.00006803205,0.00001593386,0.00004601972,0.00006137404,0.0000329221],"category_scores_gemma":[0.00006189116,0.0001375328,0.00002287365,0.0001685726,0.000165579,0.0001081279,0.0001105883,0.0003083354,0.000008471387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032147,"about_ca_system_score_gemma":0.0001834841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005467272,"about_ca_topic_score_gemma":0.00007182701,"domain_scores_codex":[0.9988498,0.00009421382,0.0003116302,0.0004047808,0.0001132082,0.0002263726],"domain_scores_gemma":[0.9995648,0.00006495793,0.00006183691,0.0001204866,0.00004225438,0.0001456338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005370894,0.0002297933,0.9089213,0.0009461513,0.00009064941,0.0005952418,0.003269037,0.000001208662,0.07340267,0.001588143,0.002065064,0.008353655],"study_design_scores_gemma":[0.001965719,0.0006102705,0.9917352,0.0001082152,0.00002834208,0.0001333505,0.0001394437,0.0002243997,0.000610819,0.0000445931,0.004273912,0.000125763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788888,0.001717514,0.00004851123,0.01325945,0.00006169904,0.0005499063,0.000007233722,0.00003731261,0.005429637],"genre_scores_gemma":[0.9905663,0.0004700575,0.001102951,0.00746213,0.00009266727,0.00009166578,0.00004129042,0.00001733424,0.0001556186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08281387,"threshold_uncertainty_score":0.5608427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805043683470953,"score_gpt":0.2920278173068718,"score_spread":0.2739773804721622,"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."}}