{"id":"W2977492932","doi":"10.1002/hed.25972","title":"Rapid head and neck tissue identification in thyroid and parathyroid surgery using optical coherence tomography","year":2019,"lang":"en","type":"article","venue":"Head & Neck","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; Thyroid; Adipose tissue; Pathology; Pathological; Neck dissection; Parathyroidectomy; Radiology; Lymph node; Thyroid cancer; Parathyroid gland; Parathyroid hormone; Carcinoma; Calcium; Internal medicine","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":[0.0007272224,0.0001672925,0.0001147706,0.0008489245,0.0002815255,0.000370169,0.0001630077,0.000295044,0.001249419],"category_scores_gemma":[0.001634184,0.0001281326,0.0001245133,0.000284266,0.000360006,0.0004014757,0.0004711575,0.0002693759,0.0002507663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003554896,"about_ca_system_score_gemma":0.0004524885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314963,"about_ca_topic_score_gemma":0.002879363,"domain_scores_codex":[0.9997277,0.0000743883,0.00002723881,0.00003683401,0.00007844923,0.00005544309],"domain_scores_gemma":[0.9994816,0.0002002028,0.0001382536,0.00002960621,0.00008644017,0.00006400708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007980807,0.0000836708,0.9325088,0.0000847066,0.00001542686,0.002390021,0.000550538,0.0002242025,0.04279968,0.00007669788,0.0002144151,0.02025373],"study_design_scores_gemma":[0.00004120196,0.0008452429,0.9558336,0.00003677714,0.00005082235,0.01592435,0.00158333,0.001556337,0.02206375,0.0002474679,0.001792869,0.00002414961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981204,0.0003020286,0.0009192023,0.00002875036,0.000003730455,0.00002808253,0.00003842914,0.000005411886,0.0005539383],"genre_scores_gemma":[0.9983203,0.0001315209,0.001306188,0.00002940093,0.00000620258,0.00001792889,0.00004740318,0.000001998163,0.0001389451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001314963,"threshold_uncertainty_score":0.004179776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221719701201702,"score_gpt":0.2619828959120482,"score_spread":0.2397656989000312,"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."}}