{"id":"W2342531023","doi":"10.1117/12.2227570","title":"OCT-based approach to local relaxations discrimination from translational relaxation motions","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relaxation (psychology); Optical coherence tomography; Coherence (philosophical gambling strategy); Elastography; Biological system; Computer science; Materials science; Biomedical engineering; Optics; Physics; Ultrasound; Acoustics; Biology","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":[0.0002468734,0.0005406814,0.0002480089,0.001310791,0.0001648779,0.0005820759,0.0003826273,0.0007072476,0.001408726],"category_scores_gemma":[0.0004895899,0.0002363658,0.0003038441,0.0007466894,0.0001880675,0.0004975053,0.00033956,0.0005516617,0.0004814071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955184,"about_ca_system_score_gemma":0.0003328783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007154751,"about_ca_topic_score_gemma":0.001285371,"domain_scores_codex":[0.99984,0.00003433248,0.000009913775,0.00003507459,0.00005725374,0.00002346578],"domain_scores_gemma":[0.9997903,0.00005316001,0.00004175403,0.00003273804,0.000063652,0.00001853379],"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":[0.0001121022,0.000100095,0.001289103,0.0002672348,0.00003148676,0.000169845,0.00004470331,0.008881433,0.885688,0.002315718,0.0006696996,0.1004305],"study_design_scores_gemma":[0.00001920988,0.0003545441,0.01023154,0.00007326632,0.0001280108,0.00190686,0.0001052353,0.3627636,0.6114607,0.002796042,0.0100432,0.0001178609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1688381,0.002344112,0.8174121,0.0002902718,0.0001232499,0.0002672472,0.001184648,0.001286522,0.008253852],"genre_scores_gemma":[0.4069527,0.002554761,0.5832307,0.0003614714,0.0001255414,0.0003466242,0.001157516,0.0002148863,0.005055717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001408726,"threshold_uncertainty_score":0.004712641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383078245030357,"score_gpt":0.2200525903468852,"score_spread":0.2062218078965816,"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."}}