{"id":"W4379232896","doi":"10.3390/s23115293","title":"Multimodality Video Acquisition System for the Assessment of Vital Distress in Children","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; École de Technologie Supérieure; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Centre hospitalier universitaire Sainte-Justine","keywords":"Vital signs; Computer science; Interface (matter); Fidelity; Distress; Medicine; Database; Medical emergency; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003179385,0.00005530088,0.0001418399,0.00007281284,0.00005156756,0.000001847295,0.00004634049,0.00008588246,0.000001513868],"category_scores_gemma":[0.000054629,0.00003918782,0.00004392243,0.0001878897,0.0000372123,0.00001369267,0.00001849962,0.0001142152,0.000003347392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007467466,"about_ca_system_score_gemma":0.00002293167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002514856,"about_ca_topic_score_gemma":0.00001154354,"domain_scores_codex":[0.9994022,0.00003944966,0.0001894197,0.0001160917,0.0001100597,0.0001428268],"domain_scores_gemma":[0.9995068,0.0001817136,0.00005484267,0.0001928024,0.00003924898,0.00002455942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003317549,0.00003009418,0.9940165,0.0002225483,0.00002721802,0.000004130596,0.0001364048,0.0002545528,0.0006011067,0.0003281936,0.0000245898,0.00432149],"study_design_scores_gemma":[0.000616868,0.00009027034,0.9887727,0.0001789489,0.00002035971,0.000006431063,0.0007164992,0.00669066,0.00284136,0.00001376152,0.00001682449,0.00003535322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980237,0.00002052063,0.00008448723,0.0007428444,0.0002039385,0.0006887827,0.00006254045,0.0001161914,0.00005702641],"genre_scores_gemma":[0.9995866,0.000008194824,0.0001709577,0.00001088763,0.0000762551,0.0000513489,0.00006568166,0.000007152877,0.00002286426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006436107,"threshold_uncertainty_score":0.1598033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720510189755607,"score_gpt":0.3569874849935774,"score_spread":0.3297823830960213,"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."}}