{"id":"W4224230193","doi":"10.3390/s22082830","title":"Towards Development of Specular Reflection Vascular Imaging","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"","keywords":"Specular reflection; Specular highlight; Reflection (computer programming); Computer vision; SIGNAL (programming language); Computer science; Pixel; Blood flow; Waveform; Artificial intelligence; Visualization; Ray tracing (physics); Medical imaging; Biomedical engineering; Optics; Acoustics; Medicine; Radiology; Physics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0002565551,0.00007520292,0.000163168,0.0001148695,0.0001088729,0.000005189748,0.00004527978,0.00001289104,0.0002109526],"category_scores_gemma":[0.00003458308,0.0000723679,0.00007647533,0.000188971,0.00003613536,0.00001648246,0.00005554351,0.0001769227,0.000005476813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001631026,"about_ca_system_score_gemma":0.00008612623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000267904,"about_ca_topic_score_gemma":4.639512e-7,"domain_scores_codex":[0.9991529,0.00003397931,0.0001863363,0.0001581463,0.0003180329,0.0001506308],"domain_scores_gemma":[0.9996764,0.000006197967,0.00003874415,0.0001795664,0.00004896364,0.00005010095],"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":[0.0002409431,0.0007678866,0.01444937,0.0002451641,0.0003059629,0.0002731331,0.003820807,0.0001739489,0.9018015,0.003773248,0.002624766,0.07152323],"study_design_scores_gemma":[0.0006714357,0.0002112174,0.009554114,0.00005256937,0.0001014671,0.0001440231,0.0009357966,0.002942176,0.8764189,0.0006658061,0.108077,0.0002254999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751497,0.0001699458,0.002981397,0.0007147543,0.00009948261,0.0001651402,0.000001228775,0.0001948829,0.02052347],"genre_scores_gemma":[0.9198729,0.00001029705,0.07939205,0.0001685639,0.00003200789,0.00001334944,0.000009393591,0.00001733305,0.0004841414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054522,"threshold_uncertainty_score":0.2951077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550490829717756,"score_gpt":0.3111572747466534,"score_spread":0.2956523664494758,"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."}}