{"id":"W4405489813","doi":"10.1109/embc53108.2024.10781800","title":"Pressure prediction for the personalized and automatic fitting of respiratory masks","year":2024,"lang":"en","type":"article","venue":"","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Respiratory system; Artificial intelligence; Medicine; Internal medicine","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":[0.0002938095,0.0005394272,0.0002960621,0.0002790082,0.0001580284,0.0003590894,0.0004445509,0.0005845039,0.001452316],"category_scores_gemma":[0.001407452,0.0002604863,0.0003674827,0.0001468009,0.0001409172,0.0003709124,0.0003170372,0.000349992,0.0004671995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002021591,"about_ca_system_score_gemma":0.0003600368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890122,"about_ca_topic_score_gemma":0.002931736,"domain_scores_codex":[0.9997408,0.0000442396,0.00001341416,0.00005923142,0.0001235769,0.00001863103],"domain_scores_gemma":[0.9996502,0.0001788633,0.00004702262,0.00003671045,0.00007509358,0.00001205627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003035991,0.0001625821,0.01908747,0.000200136,0.00003683946,0.0002769628,0.0001876659,0.5928318,0.08805714,0.0007663603,0.00155615,0.2965333],"study_design_scores_gemma":[0.000004197244,0.0001004309,0.004915641,0.00001116166,0.000008501159,0.0000834801,0.00002101494,0.9832731,0.01076974,0.0002014596,0.000600521,0.00001059268],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2758635,0.0003640417,0.7194885,0.0001413578,0.00005165918,0.00006563422,0.0002723504,0.001830558,0.001922439],"genre_scores_gemma":[0.9321173,0.0001706661,0.06623574,0.00002485967,0.00001130461,0.00005302804,0.0001670569,0.00005705465,0.001162947],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002890122,"threshold_uncertainty_score":0.005746603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02443617610918167,"score_gpt":0.2992519465698771,"score_spread":0.2748157704606955,"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."}}