{"id":"W2016169082","doi":"10.1007/s11517-006-0068-7","title":"Modelling and simulation of an infant’s whole body plethysmograph","year":2006,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Simulation; Airflow; Ventilation (architecture); Computational fluid dynamics; Thermal comfort; Environmental science; Heat transfer; Thermal; Plethysmograph; Parametric statistics; Thermistor; Computer science; Mechanics; Marine engineering; Engineering; Mechanical engineering; Meteorology; Mathematics; Statistics; Physics; Electrical engineering","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":[0.0002164082,0.0004521893,0.000586674,0.0003689273,0.0003587108,0.0007801098,0.0009782182,0.002166312,0.003576931],"category_scores_gemma":[0.001011851,0.0004279691,0.0007805333,0.0002804456,0.0006263198,0.0003808363,0.0005461286,0.0005659059,0.0003611599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469751,"about_ca_system_score_gemma":0.0009380588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02575002,"about_ca_topic_score_gemma":0.009695763,"domain_scores_codex":[0.9998587,0.00004073396,0.000007445224,0.00002772189,0.00003923333,0.00002622319],"domain_scores_gemma":[0.9996842,0.000191655,0.00002470692,0.00002049172,0.00004802798,0.00003093093],"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":[0.00002620534,0.00001528754,0.0006009048,0.00001887073,0.000008462715,0.0001032043,0.0000340126,0.9963406,0.0008235466,0.0005348545,0.0001187801,0.001375299],"study_design_scores_gemma":[0.000004832063,0.00001253679,0.0002823118,0.000002369067,0.000003679529,0.00001601365,0.00001036065,0.9991861,0.0001831037,0.0001172289,0.000178047,0.000003290737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6516779,0.0005494626,0.3146034,0.000779958,0.0002488258,0.0001798355,0.001390393,0.001270587,0.02929954],"genre_scores_gemma":[0.9850991,0.0001527606,0.008861318,0.00004678981,0.00001473562,0.00008919628,0.000231931,0.00004876704,0.005455487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02575002,"threshold_uncertainty_score":0.05120027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183803653018483,"score_gpt":0.224972299996269,"score_spread":0.2131342634660841,"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."}}