{"id":"W4226147130","doi":"","title":"Optical thermography infrastructure to assess thermal distribution in critically ill children","year":2021,"lang":"en","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Thermography; Critically ill; Interquartile range; Infrared; Skin temperature; Medicine; Pediatric intensive care unit; Intensive care unit; Intensive care; Materials science; Biomedical engineering; Surgery; Internal medicine; Pediatrics; Intensive care medicine; Optics; Physics","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.001248705,0.001364081,0.001813354,0.001731773,0.0003562045,0.0001934443,0.00203814,0.003467295,0.0002976382],"category_scores_gemma":[0.01382894,0.001295734,0.0006877197,0.007474077,0.001670958,0.0003133307,0.001264714,0.005132017,0.00007510987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009278153,"about_ca_system_score_gemma":0.001306297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006328309,"about_ca_topic_score_gemma":0.0001574562,"domain_scores_codex":[0.9917759,0.0002484131,0.001334853,0.002143977,0.001301053,0.003195747],"domain_scores_gemma":[0.9934624,0.0004909573,0.0002748241,0.003393399,0.001609462,0.0007688926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009196664,0.001459675,0.7659436,0.0002453295,0.0005180696,0.007022222,0.0004578901,0.002783263,0.1842227,0.01007701,0.007856604,0.01849401],"study_design_scores_gemma":[0.004457975,0.001854698,0.8250849,0.0007452383,0.0004279701,0.002517697,0.006763573,0.001058119,0.1453093,0.004289323,0.005757538,0.001733603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316951,0.001149095,0.02841914,0.02828377,0.0003307414,0.002646402,0.0003419407,0.005341474,0.0017923],"genre_scores_gemma":[0.9678191,0.000247134,0.02221744,0.007782741,0.0002546137,0.0007293281,0.000455115,0.0002383068,0.0002562492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05914136,"threshold_uncertainty_score":0.999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143440712318597,"score_gpt":0.277637873591661,"score_spread":0.266203466468475,"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."}}