{"id":"W2045665420","doi":"10.1117/12.2080660","title":"Robust estimation of vessel misfocus and real-time misfocus correction in laser speckle contrast imaging","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Speckle pattern; Blood flow; Optics; Computer science; Autofocus; Focus (optics); Image plane; Contrast (vision); Materials science; Biomedical engineering; Artificial intelligence; Physics","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":[0.001049953,0.0009127424,0.0006547219,0.00115761,0.0002727687,0.0007600913,0.000678419,0.0008016117,0.0004003226],"category_scores_gemma":[0.004408422,0.000479141,0.0004410233,0.0006044887,0.0006027119,0.0007982075,0.0007706114,0.0008217014,0.00022493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006041604,"about_ca_system_score_gemma":0.001184889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002072767,"about_ca_topic_score_gemma":0.002867198,"domain_scores_codex":[0.9994007,0.0001176808,0.00003303433,0.000130818,0.0002508638,0.00006680237],"domain_scores_gemma":[0.9989011,0.0004067945,0.0002503924,0.000112167,0.0002809519,0.00004855615],"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":[0.0004938083,0.0001291376,0.005522346,0.0003510903,0.0001728681,0.0003245669,0.0003588889,0.2006597,0.5138422,0.005860655,0.00131302,0.2709717],"study_design_scores_gemma":[0.00001582012,0.0001261921,0.005209059,0.00002175032,0.00004208515,0.0003164476,0.00003202918,0.8698677,0.1213787,0.001492815,0.001440287,0.00005708856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07164803,0.0004492087,0.926703,0.00008754855,0.0000376281,0.0000358642,0.00004869717,0.0005959425,0.0003940668],"genre_scores_gemma":[0.5061927,0.0006952517,0.4916945,0.00006526127,0.00003477237,0.0001040309,0.0001914194,0.0002277178,0.0007943822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002072767,"threshold_uncertainty_score":0.005552709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659151343666849,"score_gpt":0.2455999305668523,"score_spread":0.2290084171301838,"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."}}