{"id":"W4408239005","doi":"10.3389/aot.2025.1536415","title":"Remote physiological monitoring of neck blood vessels with a high-speed camera","year":2025,"lang":"en","type":"article","venue":"Advanced Optical Technologies","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"","keywords":"Remote sensing; High-speed camera; Environmental science; Computer science; Computer vision; Geology","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":[0.0000654123,0.0001473277,0.0004721754,0.0001236077,0.00005097549,0.000005836384,0.0001134914,0.0001718664,0.000003107089],"category_scores_gemma":[0.0006376114,0.0001059645,0.0001506562,0.0004782316,0.0002412369,0.0000615851,0.0001020969,0.0002687749,0.00000333192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003573926,"about_ca_system_score_gemma":0.00007657721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009189127,"about_ca_topic_score_gemma":2.393583e-7,"domain_scores_codex":[0.9989387,0.00001291857,0.0002453838,0.0003169059,0.0002028124,0.0002832835],"domain_scores_gemma":[0.9991909,0.00005371061,0.00005603855,0.0005144058,0.0001251496,0.00005984142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003080211,0.000872747,0.0108073,0.00178868,0.0009628921,0.0002986775,0.00001986467,0.0005825678,0.4011222,0.02111516,0.00003896468,0.5593107],"study_design_scores_gemma":[0.009788498,0.001341575,0.27246,0.002386927,0.001167344,0.00006330296,0.001118532,0.0001253221,0.6867593,0.02381603,0.000581587,0.0003916123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911926,0.003537438,0.002700241,0.0008834691,0.0000711963,0.0004413412,0.000002628743,0.0006357084,0.0005353621],"genre_scores_gemma":[0.9083511,0.0008829567,0.09063568,0.00003280444,0.00001920372,0.00001682026,0.000005461177,0.000008580273,0.00004741692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5589191,"threshold_uncertainty_score":0.4321108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206796192800684,"score_gpt":0.2923467888694632,"score_spread":0.2802788269414563,"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."}}