{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000360195,0.000236997,0.0003358132,0.0001310755,0.00005570231,0.0000276474,0.0001855641,0.0002508619,0.00001555324],"category_scores_gemma":[0.0001344471,0.0002123228,0.00006748622,0.0002782345,0.00009598203,0.0001025776,0.00009325165,0.0003602379,0.000004061608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000297627,"about_ca_system_score_gemma":0.000007770125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006109755,"about_ca_topic_score_gemma":6.77769e-7,"domain_scores_codex":[0.9985349,0.00002878598,0.0004644713,0.0002786978,0.0002957301,0.0003974302],"domain_scores_gemma":[0.9991632,0.0004139983,0.00004481897,0.0001522712,0.00003828828,0.0001874859],"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":[0.000003048993,0.00002320337,0.006520579,0.00005937163,0.0000128267,0.00001132923,0.00002668401,0.9654658,0.02551938,0.0001414448,0.000003031209,0.002213278],"study_design_scores_gemma":[0.0002418909,0.00006797483,0.006365722,0.0001309741,0.000006741283,0.000007648918,0.000009236739,0.9896414,0.002930203,0.0001755568,0.0001790525,0.0002436035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755417,0.0003273286,0.4235313,0.000004932012,0.0001614405,0.00006661234,0.000002327029,0.0002765671,0.00008782969],"genre_scores_gemma":[0.9898868,0.00001389142,0.00959161,0.000009131804,0.0004409217,0.000003331532,0.00002125313,0.00003180496,0.000001261406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4143451,"threshold_uncertainty_score":0.8658274,"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."}}