{"id":"W1965480054","doi":"10.1117/12.434504","title":"<title>Experimental tests of a two-layer Monte Carlo-diffusion hybrid model for photon migration in the frequency domain</title>","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Regional Laboratory Medicine Program","funders":"National Institutes of Health","keywords":"Monte Carlo method; Diffusion; Attenuation coefficient; Optics; Frequency domain; Photon; Photon diffusion; Absorption (acoustics); Layer (electronics); Materials science; Computational physics; Physics; Computer science; Mathematics","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":[0.001455053,0.0004573523,0.0003450227,0.0003238296,0.0002107701,0.0005190314,0.0007157343,0.0007930199,0.001057103],"category_scores_gemma":[0.004543907,0.0002526252,0.0003749482,0.0002875167,0.0004984192,0.0006587687,0.0003594662,0.0005612631,0.0002627025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006562734,"about_ca_system_score_gemma":0.0003734619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006076773,"about_ca_topic_score_gemma":0.002216318,"domain_scores_codex":[0.9996694,0.0001003905,0.00002466147,0.00006556597,0.0001006435,0.00003921696],"domain_scores_gemma":[0.9961926,0.002703222,0.0002500979,0.0004661323,0.0003011634,0.00008679197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001243073,0.0004690601,0.003775978,0.0002031263,0.00008650535,0.0002584929,0.0001456491,0.7932776,0.1773634,0.00273737,0.0004892946,0.01995053],"study_design_scores_gemma":[0.00002914619,0.000244045,0.0005824726,0.000006339127,0.00001099638,0.00004707114,0.00001100284,0.9323866,0.06620638,0.0002981381,0.0001532067,0.00002470295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8653223,0.0003015778,0.1315155,0.0002141505,0.00004339505,0.00008653246,0.0002020799,0.0006643554,0.00165002],"genre_scores_gemma":[0.962438,0.0001216953,0.03632135,0.00003634806,0.000005521549,0.0000520804,0.0001404331,0.00007199491,0.0008125342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006076773,"threshold_uncertainty_score":0.01208282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01423189984545012,"score_gpt":0.2771370375155722,"score_spread":0.262905137670122,"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."}}