{"id":"W3041442211","doi":"10.1109/memea49120.2020.9137344","title":"Thermal and RGB-D Imaging for Necrotizing Enterocolitis Detection","year":2020,"lang":"en","type":"article","venue":"","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Carleton University; University of Ottawa","funders":"","keywords":"Necrotizing enterocolitis; Artificial intelligence; RGB color model; Computer vision; Computer science; Image segmentation; Segmentation; Image sensor; Pattern recognition (psychology); Medicine","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":[0.0004241675,0.0005443798,0.0003846148,0.001402611,0.0001634701,0.0004582319,0.0004541159,0.0007115327,0.001652767],"category_scores_gemma":[0.0009434376,0.0003125288,0.0004181707,0.0008563427,0.0002131087,0.0004688399,0.0004272753,0.000348538,0.0008359529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418604,"about_ca_system_score_gemma":0.0003119168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008569714,"about_ca_topic_score_gemma":0.001331319,"domain_scores_codex":[0.9993843,0.000176187,0.00003608807,0.0001234571,0.0002373796,0.00004256449],"domain_scores_gemma":[0.9995914,0.0001013724,0.00008859934,0.00005419363,0.0001361358,0.00002826331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000489862,0.0001317103,0.01019611,0.0007253755,0.0000874961,0.000465752,0.0001543302,0.004513627,0.4815899,0.001288998,0.003094829,0.497262],"study_design_scores_gemma":[0.0000783455,0.001187024,0.1238339,0.0003474882,0.0003243589,0.007733058,0.0004551244,0.2782158,0.5437896,0.002697206,0.04107258,0.0002653887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1337124,0.008963488,0.8445575,0.0003567131,0.0002434148,0.000248761,0.0006934943,0.002452174,0.008772051],"genre_scores_gemma":[0.4541241,0.004504859,0.5357853,0.0003797031,0.0001388267,0.000273659,0.0003833079,0.0001453673,0.004264891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001652767,"threshold_uncertainty_score":0.005529106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228784949720746,"score_gpt":0.2814645268134063,"score_spread":0.2591766773161988,"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."}}