{"id":"W4408555922","doi":"10.1055/s-0045-1804547","title":"Choosing and switching biologics for patients with severe asthma – real life data from the German Asthma Net","year":2025,"lang":"en","type":"article","venue":"Pneumologie","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Réseau Québécois en Innovation Sociale","funders":"","keywords":"Asthma; German; Medicine; Internal medicine; Geography","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":[0.002018051,0.0004058613,0.000636563,0.0007620589,0.0003491878,0.001193727,0.0005385915,0.001128456,0.003303703],"category_scores_gemma":[0.009081677,0.0003357396,0.001106222,0.001472671,0.000360721,0.0009915815,0.0006950705,0.001251881,0.0009613782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001471241,"about_ca_system_score_gemma":0.0007805526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405656,"about_ca_topic_score_gemma":0.0216948,"domain_scores_codex":[0.9977409,0.001073181,0.0002608942,0.0003578435,0.0003211226,0.0002461747],"domain_scores_gemma":[0.9895762,0.004793094,0.003529924,0.0007854105,0.0005204328,0.0007948381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009443565,0.0009550104,0.9271874,0.0006612329,0.002321778,0.0004190716,0.0005681531,0.005845449,0.0002766156,0.0007785609,0.02430469,0.02723856],"study_design_scores_gemma":[0.0008856777,0.001196025,0.9774671,0.0003233922,0.001017039,0.0005257214,0.0008123565,0.005137641,0.0002642148,0.0005410916,0.01175379,0.00007585713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646258,0.002468948,0.0004823965,0.001645375,0.00005339253,0.00005065585,0.0275618,0.0000253846,0.003086228],"genre_scores_gemma":[0.9769761,0.0006607584,0.0004545054,0.0005230904,0.00004172817,0.0000554589,0.02047278,0.00001573918,0.0007998376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01405656,"threshold_uncertainty_score":0.02794951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370033610791205,"score_gpt":0.3126096784618818,"score_spread":0.2789093423539697,"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."}}