{"id":"W4414919761","doi":"10.1016/j.media.2025.103832","title":"Fusion and pure feature extraction framework for intraoperative hyperspectral of thyroid lesion","year":2025,"lang":"en","type":"article","venue":"Medical Image Analysis","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Xi'an Institute of Optics and Precision Mechanics; Canadian Anesthesiologists' Society","keywords":"Hyperspectral imaging; Pattern recognition (psychology); Thyroid cancer; Thyroid nodules; Robustness (evolution); Fusion; Cascade; Thyroid","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003885909,0.0007779989,0.0008162172,0.001063839,0.0003169115,0.0007043278,0.0006669444,0.0005582162,0.001654404],"category_scores_gemma":[0.0005355753,0.0002591012,0.001007633,0.0007856229,0.0001580114,0.0006922751,0.0009760388,0.0006081081,0.0007990813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223728,"about_ca_system_score_gemma":0.0006002826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002650479,"about_ca_topic_score_gemma":0.00421732,"domain_scores_codex":[0.9996051,0.00003584534,0.0000243596,0.0001084283,0.0001548579,0.00007141177],"domain_scores_gemma":[0.9998401,0.0000229834,0.0000160924,0.00002522746,0.00008076621,0.00001469295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004101735,0.0002905304,0.004112065,0.0001517799,0.0001982825,0.0002160593,0.0001087238,0.02636841,0.1398321,0.001577776,0.005008112,0.8217261],"study_design_scores_gemma":[0.00001934079,0.0002246026,0.009922739,0.00001945131,0.0001411265,0.0004814488,0.00008648843,0.9320174,0.0504388,0.002543189,0.00405908,0.00004621491],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05447906,0.0008774133,0.9402623,0.0001487822,0.0001021181,0.00006682033,0.0004352148,0.001811541,0.001816763],"genre_scores_gemma":[0.6521023,0.000879201,0.3393705,0.0002045609,0.0001809832,0.0001641433,0.001894393,0.0001775623,0.005026286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002650479,"threshold_uncertainty_score":0.005534589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008032420561623182,"score_gpt":0.3375897405711067,"score_spread":0.3295573200094835,"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."}}