{"id":"W2123045964","doi":"10.1109/iwbp.2011.5954806","title":"The role of optical tissue phantom in verification and validation of medical imaging devices","year":2011,"lang":"en","type":"article","venue":"","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Traceability; Imaging phantom; Consistency (knowledge bases); Computer science; Medical physics; Systems engineering; Risk analysis (engineering); Artificial intelligence; Medicine; Engineering; Nuclear medicine; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004064006,0.0000407081,0.0001100021,0.00004203685,0.00001308804,0.000005036663,0.0000577931,0.00003326686,0.00005966477],"category_scores_gemma":[0.0001476456,0.00002550741,0.0000110977,0.00007111849,0.0001640801,0.00004933115,0.00002101716,0.00007488345,9.978421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007315238,"about_ca_system_score_gemma":0.00002543971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002344772,"about_ca_topic_score_gemma":0.000009718759,"domain_scores_codex":[0.9994152,0.00001871507,0.0001988813,0.0000824864,0.0002063846,0.00007839461],"domain_scores_gemma":[0.9996964,0.00006507261,0.0000355233,0.0001111595,0.00004744538,0.00004442317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001518165,0.0003620645,0.3128548,0.00009554019,0.00002011346,0.000006333289,0.0009940466,3.040757e-8,0.3137845,0.1413238,0.00005852858,0.2303485],"study_design_scores_gemma":[0.0001816241,0.00006619372,0.04186466,0.00007037063,0.0000169473,0.00001048948,0.0003667503,0.002138525,0.9528642,0.002088661,0.0003028929,0.00002868608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614241,0.0008697719,0.004318662,0.001746877,0.00001845631,0.0001623462,4.029394e-7,0.00004296081,0.03141646],"genre_scores_gemma":[0.9903864,0.0001986208,0.00934571,0.00003031368,0.00001033446,0.000004394358,0.000001444931,0.000003920082,0.00001888203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6390797,"threshold_uncertainty_score":0.1040162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459852192818852,"score_gpt":0.3276614905066356,"score_spread":0.3130629685784471,"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."}}