{"id":"W4205902194","doi":"10.2147/jaa.s328653","title":"Real World Biologic Use and Switch Patterns in Severe Asthma: Data from the International Severe Asthma Registry and the US CHRONICLE Study","year":2022,"lang":"en","type":"article","venue":"Journal of Asthma and Allergy","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; Vancouver Coastal Health","funders":"National Institute of Allergy and Infectious Diseases; Efficacy and Mechanism Evaluation Programme; Sanofi Genzyme; Genentech; Mylan; Eli Lilly and Company; AstraZeneca; Respiratory Effectiveness Group; CSL Behring; Regeneron Pharmaceuticals; Insmed; Teva Pharmaceutical Industries; Gilead Sciences; Sanofi; Amgen; National Heart, Lung, and Blood Institute; AKL Research and Development; Pfizer; GlaxoSmithKline","keywords":"Asthma; Real world data; MEDLINE; Prospective cohort study; Observational study","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007519788,0.0001890011,0.0003807605,0.00009896512,0.000261917,0.0001315597,0.0004557554,0.00004142617,0.000314773],"category_scores_gemma":[0.0001290241,0.0001009896,0.00006653206,0.0001379531,0.0001743388,0.0002662118,0.000870862,0.0005921291,8.113174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006445505,"about_ca_system_score_gemma":0.0001722183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009443219,"about_ca_topic_score_gemma":0.002529282,"domain_scores_codex":[0.9982041,0.0003274116,0.0004822127,0.0003288811,0.0004598488,0.0001975089],"domain_scores_gemma":[0.9986333,0.0003756738,0.0003558172,0.0004208465,0.00007320718,0.0001412048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003511733,0.000655172,0.96738,0.00001631895,0.0005006569,0.001179272,0.001256266,0.0001368663,0.0001660846,0.00006970097,0.009069961,0.01605801],"study_design_scores_gemma":[0.006875223,0.0006646538,0.9013982,0.00008379765,0.00003182031,0.0009004847,0.006820718,0.0006170067,0.000002635627,0.00006597154,0.08241156,0.0001279014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920059,0.002895611,0.000006924232,0.004313129,0.0002263826,0.0002369897,0.0001766177,0.000007011821,0.0001314419],"genre_scores_gemma":[0.9966764,0.001248732,0.00004307082,0.00111665,0.0004715227,0.000007884127,0.00004162907,0.00001587859,0.0003781657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07334161,"threshold_uncertainty_score":0.4118237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03047019072575304,"score_gpt":0.2814930585587158,"score_spread":0.2510228678329627,"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."}}