{"id":"W4285130490","doi":"10.1109/access.2022.3181167","title":"NICUface: Robust Neonatal Face Detection in Complex NICU Scenes","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Neonatal and fetal brain pathology","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa; Carleton University","funders":"Science and Engineering Research Council","keywords":"Robustness (evolution); Computer science; Neonatal intensive care unit; Artificial intelligence; Face detection; Face (sociological concept); Facial recognition system; Detector; Computer vision; Pattern recognition (psychology); Medicine; Pediatrics; Telecommunications","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":[0.001085566,0.0017702,0.00105033,0.001399094,0.0004994624,0.0009725661,0.002451228,0.001190117,0.00362225],"category_scores_gemma":[0.003105075,0.0003609335,0.001002525,0.0005734819,0.000329357,0.0008186712,0.001550696,0.001066728,0.003273878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177355,"about_ca_system_score_gemma":0.000867754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0164652,"about_ca_topic_score_gemma":0.02806777,"domain_scores_codex":[0.9990714,0.0001420417,0.00003026794,0.0003053582,0.0003192068,0.0001317489],"domain_scores_gemma":[0.9996027,0.0001246582,0.00002510364,0.00007069961,0.000142102,0.00003462288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008836616,0.0004402671,0.02379567,0.0005535256,0.000452736,0.000646771,0.0002383468,0.09255318,0.02793853,0.001282159,0.09050988,0.7607052],"study_design_scores_gemma":[0.00005934265,0.0004966719,0.02415071,0.0001350632,0.0001237828,0.00203028,0.0002973302,0.9001921,0.04368896,0.001603781,0.02713443,0.00008764154],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4119021,0.008209202,0.4770586,0.001618762,0.001440984,0.001746998,0.02151725,0.05384126,0.02266482],"genre_scores_gemma":[0.6265719,0.002665672,0.3040996,0.001267405,0.0002494774,0.0009682149,0.04617259,0.001518359,0.01648678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0164652,"threshold_uncertainty_score":0.03273869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05607680368567912,"score_gpt":0.3145280870958558,"score_spread":0.2584512834101766,"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."}}