{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180792,0.0002444758,0.000242999,0.0004289896,0.000183905,0.0004088569,0.0002182693,0.000254994,0.001109264],"category_scores_gemma":[0.003483807,0.0001560971,0.0001988351,0.0002249532,0.0002828217,0.0003839136,0.0003884555,0.0001838228,0.0002088994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536624,"about_ca_system_score_gemma":0.0002301049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006857008,"about_ca_topic_score_gemma":0.001536129,"domain_scores_codex":[0.9994825,0.0001533474,0.00006396552,0.00007646375,0.0001312661,0.00009231569],"domain_scores_gemma":[0.998468,0.0005206919,0.0005916519,0.000100112,0.0002138214,0.0001057331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003239574,0.0000210843,0.991643,0.00003083777,0.00001866094,0.0003175503,0.00004556754,0.00007413601,0.00146247,0.000006514174,0.00002782769,0.006028546],"study_design_scores_gemma":[0.00001507129,0.0007934621,0.986331,0.0000356448,0.00008424169,0.007573489,0.0002835919,0.0007067334,0.003724897,0.00002652307,0.000417141,0.000008256241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987162,0.0006729736,0.0003151707,0.000007315419,0.000005563043,0.00000823537,0.00003652669,0.00000364834,0.0002343289],"genre_scores_gemma":[0.9995623,0.000120278,0.0002042703,0.000004564949,0.000006201857,0.000004264418,0.00004182493,0.000001304141,0.0000549964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001180792,"threshold_uncertainty_score":0.006244719,"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."}}