{"id":"W4416773681","doi":"10.1136/bmjresp-2025-003750","title":"Integrating blood eosinophils and exhaled nitric oxide (FeNO) in asthma diagnostic pathways for adults and children: the PROPULSION SANTÉ observational study with translational sub-studies (DIVE, DIVE2)—protocols","year":2025,"lang":"en","type":"article","venue":"BMJ Open Respiratory Research","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Montreal Children's Hospital; Innovation and Economic Development Trois Rivières; McGill University Health Centre; Centre Hospitalier Universitaire de Sherbrooke; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; AstraZeneca","keywords":"Exhaled nitric oxide; Observational study; Asthma; Nitric oxide; Exhaled breath condensate; Translational research","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03096863,0.001239104,0.001328626,0.00127428,0.002587588,0.002501752,0.003196778,0.001769735,0.008860281],"category_scores_gemma":[0.0269747,0.001207143,0.0039185,0.003411125,0.001257431,0.00131075,0.003015996,0.001652477,0.002600086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007733551,"about_ca_system_score_gemma":0.0278822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08856726,"about_ca_topic_score_gemma":0.1157796,"domain_scores_codex":[0.9816667,0.01011772,0.003448773,0.001890723,0.001876994,0.0009990539],"domain_scores_gemma":[0.9839035,0.002180133,0.002819234,0.002436763,0.007190782,0.00146966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.06085618,0.004335066,0.6151426,0.01847787,0.009294459,0.0005462039,0.004424887,0.004019483,0.001906613,0.00865201,0.1675915,0.104753],"study_design_scores_gemma":[0.03306478,0.007163709,0.7340764,0.01071007,0.003560796,0.0003844367,0.002237824,0.00281606,0.00121079,0.003886666,0.200627,0.0002613909],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1035594,0.007058375,0.01772252,0.003545611,0.0006970845,0.6474919,0.2011746,0.0002778725,0.01847267],"genre_scores_gemma":[0.09016395,0.001507941,0.02045748,0.001385452,0.0001290286,0.8354437,0.04899566,0.00004141358,0.001875442],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08856726,"threshold_uncertainty_score":0.1761035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2187990706718198,"score_gpt":0.4820866562579881,"score_spread":0.2632875855861683,"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."}}