{"id":"W2013412897","doi":"10.1017/s0266462303000291","title":"DAILY COST PREDICTION MODEL IN NEONATAL INTENSIVE CARE","year":2003,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Neonatal intensive care unit; Stepwise regression; Emergency medicine; Intensive care; Chest radiograph; Intensive care unit; Birth weight; Pediatrics; Intensive care medicine; Surgery; Pregnancy; Internal medicine; Radiography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005063219,0.0009119075,0.001391542,0.001094236,0.0002956393,0.001338637,0.001442327,0.001081711,0.004662673],"category_scores_gemma":[0.01250863,0.0004704018,0.0009623661,0.0008722594,0.0003361166,0.0005916026,0.000573877,0.001513001,0.0005231418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001861025,"about_ca_system_score_gemma":0.002198604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03945278,"about_ca_topic_score_gemma":0.01541987,"domain_scores_codex":[0.9980824,0.001149212,0.0001126014,0.0002832068,0.000171068,0.0002015128],"domain_scores_gemma":[0.9945356,0.004302053,0.000394121,0.0001079033,0.0005328166,0.0001276121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00043895,0.000231407,0.02059988,0.00007427336,0.0002435567,0.0001031114,0.00003422358,0.9475415,0.00007182767,0.001995317,0.002436677,0.02622932],"study_design_scores_gemma":[0.00002709935,0.00003570951,0.001612725,0.00001407433,0.0000177667,0.000009478463,0.000009261862,0.9970251,0.00002310274,0.001062045,0.0001590363,0.000004636338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7402479,0.003324784,0.236937,0.004284152,0.0003490486,0.0007404176,0.006561589,0.001016689,0.006538423],"genre_scores_gemma":[0.9666033,0.000479551,0.02525409,0.0002936487,0.0001061306,0.0006721917,0.002698238,0.00004256748,0.003850208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03945278,"threshold_uncertainty_score":0.07844633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611928054501187,"score_gpt":0.4408352976759978,"score_spread":0.4047160171309859,"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."}}