{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000499324,0.0002956437,0.0009712867,0.0002889321,0.0000772542,0.00006253876,0.0002603638,0.0002771544,0.0001776457],"category_scores_gemma":[0.0004052793,0.0002571347,0.0003166848,0.0005574304,0.000277631,0.0001440628,0.00004203909,0.0005127839,0.000007967339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003364312,"about_ca_system_score_gemma":0.00007124023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005148825,"about_ca_topic_score_gemma":0.00000361983,"domain_scores_codex":[0.9977987,0.00004377062,0.0006385493,0.0005820841,0.0004223215,0.0005146056],"domain_scores_gemma":[0.9980388,0.0003768127,0.0001602423,0.0007689738,0.0003501998,0.0003049367],"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":[0.0005470352,0.0006849967,0.0002770405,0.00008226179,0.0003517628,0.000007940342,0.0001131073,0.000004037769,0.9854212,0.0114487,0.00006923584,0.0009926599],"study_design_scores_gemma":[0.00121936,0.0005569098,0.001719906,0.00009540339,0.002401008,0.00001074989,0.00001537054,0.09694953,0.8944035,0.0002764713,0.00205117,0.0003006708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.396856,0.00001300968,0.5981449,0.0007264366,0.00009574104,0.0005830984,0.0001512282,0.0001898335,0.0032398],"genre_scores_gemma":[0.2700269,0.00005530947,0.7280939,0.0001476132,0.0001626566,0.0001297372,0.0003928316,0.00005324231,0.0009378729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.129949,"threshold_uncertainty_score":0.9999881,"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."}}