{"id":"W4409468666","doi":"10.1016/j.isci.2025.112433","title":"Laser speckle size and contrast investigation of volumetric scattering from controlled turbid phantoms and mouse skin tissues","year":2025,"lang":"en","type":"article","venue":"iScience","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Toronto","keywords":"Speckle pattern; Laser; Contrast (vision); Optics; Materials science; Speckle imaging; Light scattering; Scattering; Biomedical engineering; Physics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007574636,0.0002005788,0.0001346557,0.000633114,0.0001259043,0.000232372,0.0001738142,0.0002059247,0.0003913394],"category_scores_gemma":[0.0007828489,0.0001316366,0.0001180834,0.0002805384,0.0004130357,0.0001510045,0.0001713614,0.0001810989,0.00005127163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002276156,"about_ca_system_score_gemma":0.000203218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007531827,"about_ca_topic_score_gemma":0.0008141091,"domain_scores_codex":[0.9998325,0.00003934151,0.000009045969,0.00003028826,0.00006871937,0.00001995316],"domain_scores_gemma":[0.9989583,0.0006380404,0.0001626253,0.00006619305,0.0001265488,0.00004816712],"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":[0.00006695871,0.00002526649,0.000807155,0.00001765748,0.000004030889,0.00003609727,0.0000568706,0.001227509,0.9959424,0.0002950046,0.00001331165,0.001507618],"study_design_scores_gemma":[0.00001413029,0.0004658058,0.01551529,0.000007635131,0.00002210896,0.0003443104,0.00006480794,0.02389632,0.9590462,0.0002859902,0.0003209421,0.00001645263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648724,0.0002895286,0.03332115,0.00002928221,0.000006316291,0.00002723886,0.00006918051,0.00009973934,0.00128515],"genre_scores_gemma":[0.9813393,0.0002395637,0.01760769,0.00003269897,0.000007207245,0.00003509971,0.000115078,0.00002025106,0.0006031302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007574636,"threshold_uncertainty_score":0.004005909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830459964246411,"score_gpt":0.2840471884973693,"score_spread":0.2757425888549052,"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."}}