{"id":"W2923337239","doi":"10.1007/s10875-019-00613-8","title":"Nasal Nitric Oxide in Primary Immunodeficiency and Primary Ciliary Dyskinesia: Helping to Distinguish Between Clinically Similar Diseases","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Immunology","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University; Montreal Children's Hospital; Centre Hospitalier Universitaire Sainte-Justine","funders":"National Human Genome Research Institute; Yale University; Fondation de l'Hôpital de Montréal pour enfants; National Institutes of Health; National Heart, Lung, and Blood Institute; Invitae","keywords":"Primary ciliary dyskinesia; Primary immunodeficiency; Primary (astronomy); Medical microbiology; Medicine; Nitric oxide; Immunology; Immunologic Deficiency Syndromes; Immunodeficiency; Common variable immunodeficiency; Bronchiectasis; Internal medicine; Immune system; Lung; Antibody","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001365622,0.0005828514,0.0007133349,0.001393626,0.0005723671,0.0009474308,0.0006075684,0.00177236,0.0009154485],"category_scores_gemma":[0.003431245,0.0001920839,0.0003153693,0.0003787939,0.0007822474,0.0008599194,0.0006490026,0.001017463,0.0002965485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690977,"about_ca_system_score_gemma":0.0005546956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134949,"about_ca_topic_score_gemma":0.002641168,"domain_scores_codex":[0.9994729,0.0001230524,0.0001286255,0.00006750476,0.0001250374,0.00008293826],"domain_scores_gemma":[0.9982829,0.0007787453,0.0002571961,0.00006678831,0.0002526497,0.0003617411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003314845,0.0002731463,0.8872383,0.0002731609,0.00007836214,0.02482959,0.000357226,0.0001491297,0.03389667,0.0004373491,0.0009886012,0.0481637],"study_design_scores_gemma":[0.0002174967,0.00133181,0.897734,0.0004014105,0.0002075174,0.0822625,0.001821408,0.002631248,0.007951892,0.0009804904,0.004398158,0.00006208454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775327,0.01497437,0.0008478395,0.0009407641,0.0003287512,0.00008055361,0.0001331549,0.00003009478,0.005131786],"genre_scores_gemma":[0.9954281,0.001926361,0.001545127,0.0004234673,0.0001897626,0.00002264544,0.0001175761,0.000004840289,0.0003421378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134949,"threshold_uncertainty_score":0.007222176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923855793121753,"score_gpt":0.3810616962903076,"score_spread":0.35182313835909,"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."}}