{"id":"W3114862706","doi":"","title":"Infrared Imaging Tools for Necrotizing Enterocolitis (NEC) Diagnosis Guided by RGB-D Sensing","year":2019,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Carleton University; University of Ottawa","funders":"","keywords":"Multispectral image; RGB color model; Artificial intelligence; Computer vision; Computer science; Necrotizing enterocolitis; Segmentation; Thermography; Radiance; Remote sensing; Infrared; Medicine; Geography; Optics","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":[0.0005601619,0.0005627155,0.0003280131,0.001469314,0.0001822151,0.000675395,0.0004973109,0.000762913,0.001754156],"category_scores_gemma":[0.001222102,0.0002899678,0.0004156782,0.0006879079,0.0002327268,0.0005102355,0.0005299516,0.0004129613,0.0009866322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001920608,"about_ca_system_score_gemma":0.0002046881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004534986,"about_ca_topic_score_gemma":0.0008366908,"domain_scores_codex":[0.9994429,0.0001889849,0.0000299179,0.00008786234,0.000218784,0.00003158788],"domain_scores_gemma":[0.9993781,0.0002548663,0.0001220838,0.00006899256,0.0001430066,0.00003289306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003889061,0.0001549779,0.007861957,0.000652238,0.00005990334,0.0005306752,0.0002471556,0.002376676,0.5544521,0.001205794,0.002325442,0.4297442],"study_design_scores_gemma":[0.0001159082,0.00193532,0.1049796,0.0007002174,0.0004880615,0.01184879,0.0007296166,0.1762845,0.6367111,0.004251888,0.06165899,0.000296068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1501274,0.0125442,0.8233561,0.000664209,0.0002659719,0.0002341234,0.0003567869,0.002593287,0.009857909],"genre_scores_gemma":[0.3618844,0.005709006,0.6284835,0.000431298,0.0001389155,0.0001656152,0.0002203559,0.000140462,0.002826624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001754156,"threshold_uncertainty_score":0.005868256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253623711995534,"score_gpt":0.2933357264465717,"score_spread":0.2707994893266163,"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."}}