{"id":"W2077978382","doi":"10.1364/oe.18.011495","title":"Reference optical phantoms for diffuse optical spectroscopy Part 1 – Error analysis of a time resolved transmittance characterization method","year":2010,"lang":"en","type":"article","venue":"Optics Express","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique","funders":"","keywords":"Transmittance; Optics; Monte Carlo method; Attenuation coefficient; Imaging phantom; Photon counting; Interpolation (computer graphics); Calibration; Diffuse optical imaging; Photon diffusion; Radiative transfer; Materials science; Reference data; Repeatability; Photon; Physics; Mathematics; Computer science; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005744759,0.001370577,0.0008261549,0.002199325,0.0006919882,0.001648359,0.002304899,0.00154109,0.006229431],"category_scores_gemma":[0.01558289,0.0008439389,0.0006926051,0.001717286,0.0007308139,0.00108778,0.001515106,0.0009414523,0.00272687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267349,"about_ca_system_score_gemma":0.001146789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009463653,"about_ca_topic_score_gemma":0.0009870196,"domain_scores_codex":[0.9940844,0.001201081,0.0003419663,0.0009762799,0.003224034,0.0001721865],"domain_scores_gemma":[0.9910278,0.002536716,0.001051455,0.002757191,0.002504093,0.0001228004],"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":[0.0008907951,0.000279123,0.002976744,0.001185677,0.0001241696,0.0003397372,0.0003763989,0.02659233,0.7711272,0.02491731,0.007485815,0.1637048],"study_design_scores_gemma":[0.00003731537,0.0006207164,0.003399259,0.0001899105,0.0001158419,0.0008327193,0.00008565049,0.05366129,0.8786933,0.003991244,0.05825743,0.0001153622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02223396,0.001958201,0.966729,0.0001231663,0.0002241673,0.0004829718,0.001232613,0.002786082,0.004229811],"genre_scores_gemma":[0.1287822,0.002409996,0.8535237,0.0002420653,0.00006434727,0.001876642,0.003187815,0.001486949,0.008426237],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006229431,"threshold_uncertainty_score":0.03038156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237958257558649,"score_gpt":0.3510543008737175,"score_spread":0.3272584751178526,"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."}}