{"id":"W4404046868","doi":"10.1136/thorax-2024-btsabstracts.183","title":"P22 Biomarkers and phenotyping: a holistic approach to asthma treatment with tezepelumab","year":2024,"lang":"en","type":"article","venue":"","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Asthma; Computer science; Computational biology; Medicine; Data science; Biology; 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":[0.003276687,0.0005557288,0.00126918,0.0007188602,0.000386579,0.001785191,0.0006058831,0.0004714107,0.00157745],"category_scores_gemma":[0.003005576,0.000247234,0.000907739,0.0005869329,0.0003795644,0.0009584539,0.001282042,0.001295182,0.0003894956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008061006,"about_ca_system_score_gemma":0.001901529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153551,"about_ca_topic_score_gemma":0.004006146,"domain_scores_codex":[0.9984728,0.0008076768,0.0001221902,0.0001718126,0.0003417481,0.00008379581],"domain_scores_gemma":[0.9988239,0.0003710535,0.0002812588,0.0001199522,0.0002339052,0.0001699124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002602983,0.0007124433,0.04926476,0.001994027,0.0009872589,0.0003350597,0.0004915913,0.002691889,0.0121241,0.001781337,0.02115189,0.9058627],"study_design_scores_gemma":[0.003042888,0.01951298,0.6437331,0.006591522,0.00399525,0.005135617,0.003213119,0.03839051,0.02655788,0.03035277,0.2190454,0.0004289542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5298064,0.1521451,0.1750968,0.08439022,0.00196488,0.002746325,0.00423788,0.004011321,0.04560098],"genre_scores_gemma":[0.8131809,0.03310303,0.135216,0.01010504,0.001541611,0.001136986,0.001166956,0.0001949618,0.004354343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003276687,"threshold_uncertainty_score":0.01732898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0258125137110069,"score_gpt":0.2830235086371966,"score_spread":0.2572109949261897,"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."}}