{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002348033,0.0002342119,0.0003456126,0.000292229,0.00006537406,0.0001251804,0.0001190181,0.0001527923,0.00005026332],"category_scores_gemma":[0.00002780872,0.0002587852,0.00005451107,0.0007956294,0.0001342781,0.0003272414,0.00004308351,0.0002692405,0.00007471274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003406878,"about_ca_system_score_gemma":0.00002406092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006040073,"about_ca_topic_score_gemma":0.00007487266,"domain_scores_codex":[0.9984884,0.00003552062,0.0004423887,0.0004304434,0.000189778,0.0004134802],"domain_scores_gemma":[0.9990934,0.0002222089,0.00004531793,0.0004111872,0.00004517103,0.0001827008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008431369,0.0003177137,0.4315465,0.0006711747,0.0000864958,0.00002741877,0.0006974664,0.00140837,0.5158144,0.0059361,0.001150543,0.04225953],"study_design_scores_gemma":[0.0007506766,0.0001312074,0.9576837,0.0002370838,0.00003849225,0.00005495792,0.0001151835,0.0252647,0.01112155,0.001335283,0.002527463,0.0007396511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933102,0.003961605,0.0005301746,0.00009304548,0.0001042761,0.0005872363,0.00001450214,0.0001799338,0.001219065],"genre_scores_gemma":[0.9966158,0.0003628169,0.002793887,0.00003433217,0.00003886652,0.00007937061,0.00001747288,0.0000360112,0.000021469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5261372,"threshold_uncertainty_score":0.9999864,"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."}}