{"id":"W4293575865","doi":"10.1002/jbio.202200187","title":"Remote photoplethysmography with consumer smartphone reveals temporal differences between glabrous and nonglabrous skin: Pilot in vivo study","year":2022,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Photoplethysmogram; Medicine; Dorsum; Microcirculation; Wearable computer; Biomedical engineering; Computer science; Computer vision; Internal medicine; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006889707,0.0003034241,0.0006709844,0.0005404454,0.0001461576,0.00007408349,0.0003366114,0.00005306131,0.00003631653],"category_scores_gemma":[0.00002427504,0.0002647573,0.00008046908,0.0008559641,0.00008417007,0.0001816555,0.0001295756,0.0008199257,9.350225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997491,"about_ca_system_score_gemma":0.00006635235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003358708,"about_ca_topic_score_gemma":0.000165234,"domain_scores_codex":[0.9978722,0.000151191,0.0007204446,0.0002369524,0.0006379032,0.0003812499],"domain_scores_gemma":[0.9989892,0.0002105206,0.0003023895,0.0002335066,0.00009140142,0.0001729995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002279353,0.0002400274,0.9397271,0.00006955175,0.0002716066,0.0006764196,0.001222017,0.0003621652,0.05624613,0.000001107531,0.00006591012,0.0008899753],"study_design_scores_gemma":[0.01420391,0.0176784,0.8950238,0.0005454008,0.0004904854,0.001559985,0.009346704,0.0003092946,0.05693248,0.0005909848,0.001354505,0.00196406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973225,0.001459839,0.00009808249,0.00001755564,0.0004957527,0.0004428868,0.00003384831,0.00004043245,0.000089123],"genre_scores_gemma":[0.9979159,0.0002067109,0.001658691,0.00001716147,0.0001138016,0.0000121346,0.00000114098,0.00005744258,0.00001698003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04470336,"threshold_uncertainty_score":0.9999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487156563482175,"score_gpt":0.2206821578137585,"score_spread":0.2058105921789368,"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."}}