{"id":"W2783016299","doi":"","title":"A Study of the Statistical Properties of Scattered Radiation under Optical Coherence Tomography Conditions: Scattering Medium Characterization via the Power Spectrum and the Probability Density Function","year":2017,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Ministry of Education and Science of the Russian Federation","keywords":"Optical coherence tomography; Scattering; Optics; Spectral density; Radiation; Gaussian; Coherence (philosophical gambling strategy); Physics; Characterization (materials science); Light scattering; Probability density function; Computational physics; Materials science; Mathematics; Statistics","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":[0.001032752,0.0003847617,0.0003554776,0.0008394643,0.0002884785,0.0008689106,0.0003814179,0.0004271403,0.0005483462],"category_scores_gemma":[0.0039536,0.000216719,0.0002898166,0.0006910069,0.0008655021,0.00157126,0.0002846799,0.0005410397,0.0001991079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004229631,"about_ca_system_score_gemma":0.0005275626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007892817,"about_ca_topic_score_gemma":0.000407295,"domain_scores_codex":[0.9996025,0.00008154518,0.00001750642,0.00009150936,0.0001764145,0.00003064308],"domain_scores_gemma":[0.9976137,0.001746564,0.0002397703,0.0001378687,0.0002311584,0.00003102265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002647992,0.0002896404,0.01772017,0.0005773061,0.0001487976,0.000643764,0.001074511,0.1843782,0.4236739,0.1407286,0.001598562,0.2289017],"study_design_scores_gemma":[0.00001322099,0.0002892248,0.01978553,0.00007305555,0.00003527894,0.001091286,0.0002405587,0.8111864,0.1358478,0.02717236,0.004160347,0.0001049187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3102784,0.001175614,0.6826185,0.0002990368,0.00003559254,0.00005601705,0.0002063597,0.0001819885,0.005148479],"genre_scores_gemma":[0.9113995,0.002557016,0.08321057,0.00006824367,0.00007235869,0.00008016857,0.0002881552,0.00008662134,0.002237384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001032752,"threshold_uncertainty_score":0.005461812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644564873734732,"score_gpt":0.2591062456498073,"score_spread":0.24266059691246,"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."}}