{"id":"W4380301843","doi":"10.1115/dmd2023-6655","title":"CAPAPP: SMARTPHONE-BASED CAPILLARY REFILL INDEX ASSESSMENT IN HEALTHY CHILDREN","year":2023,"lang":"en","type":"article","venue":"","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Capillary refill; Medicine; Vital signs; Smartphone application; Capillary action; Population; Blood pressure; Computer science; Anesthesia; Internal medicine; Materials science","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":[0.000409877,0.0004961069,0.0003650323,0.0007458683,0.0001657253,0.0005257885,0.0003869099,0.0004520786,0.004720979],"category_scores_gemma":[0.003327967,0.0001445084,0.0002894971,0.0004271927,0.0001211239,0.0004224116,0.0004995708,0.0004024449,0.001374626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711327,"about_ca_system_score_gemma":0.0003310605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005153009,"about_ca_topic_score_gemma":0.00580587,"domain_scores_codex":[0.9995654,0.0001057555,0.00004984572,0.00009097431,0.000134669,0.00005332845],"domain_scores_gemma":[0.998456,0.0004892487,0.0003494446,0.00004726804,0.0004665861,0.0001914378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001550003,0.0006310747,0.756434,0.001524517,0.000131721,0.001538575,0.0009789621,0.0005388178,0.003577737,0.0002221176,0.03966045,0.193212],"study_design_scores_gemma":[0.0001206076,0.002151352,0.9661126,0.0004989848,0.0001793395,0.004297844,0.0007747397,0.005560084,0.003606666,0.0001711971,0.01642373,0.0001027436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524844,0.0044845,0.004910011,0.0009848031,0.0002098254,0.0007787172,0.02054028,0.001676415,0.01393103],"genre_scores_gemma":[0.9795832,0.001646319,0.0107643,0.0005578705,0.0001417723,0.0008359351,0.003714856,0.00005674498,0.002699071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005153009,"threshold_uncertainty_score":0.01579326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04554261659318667,"score_gpt":0.4296813277160043,"score_spread":0.3841387111228176,"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."}}