{"id":"W2107242592","doi":"10.1136/archdischild-2013-304928","title":"Examining the effects of a targeted noise reduction program in a neonatal intensive care unit","year":2013,"lang":"en","type":"article","venue":"Archives of Disease in Childhood Fetal & Neonatal","topic":"Infant Development and Preterm Care","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"","keywords":"Noise (video); Noise reduction; Neonatal intensive care unit; Baseline (sea); Medicine; Computer science; Pediatrics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004970087,0.0002423078,0.0003828708,0.0003383993,0.0000435586,0.0000126458,0.0002091189,0.00005766933,0.00001973606],"category_scores_gemma":[0.0004293054,0.000184906,0.0001574516,0.0003284792,0.0003154602,0.0002248848,0.0001647472,0.0003646768,0.00000276833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002055289,"about_ca_system_score_gemma":0.0002215602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001726381,"about_ca_topic_score_gemma":0.00001671777,"domain_scores_codex":[0.9984845,0.0001110642,0.0004492495,0.0003296584,0.0003002589,0.0003252551],"domain_scores_gemma":[0.9989392,0.0002562604,0.0001550993,0.0003352405,0.0001519675,0.0001622206],"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":[0.002023464,0.0001720312,0.3767369,0.002041193,0.0002310586,0.0003137203,0.1985994,0.00003271484,0.004048306,0.0001076967,0.00002019097,0.4156733],"study_design_scores_gemma":[0.003505987,0.000603909,0.972863,0.001945328,0.00008801407,0.00002956288,0.01549775,0.0002515393,0.004444586,0.0004804871,0.00005029796,0.000239519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941425,0.002870259,0.000003611742,0.0001308244,0.0001428583,0.002264534,0.00007478177,0.00003826382,0.0003323472],"genre_scores_gemma":[0.9981697,0.0000671403,0.0006484186,0.00007148465,0.00005844736,0.0002545124,0.0006873363,0.00002776802,0.00001522839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5961261,"threshold_uncertainty_score":0.754025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007451692541857657,"score_gpt":0.2385592070864733,"score_spread":0.2311075145446156,"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."}}