{"id":"W4392593498","doi":"10.1016/j.drudis.2024.103948","title":"Master protocols and other innovative trial designs in inflammation and immunology to expedite clinical drug development","year":2024,"lang":"en","type":"article","venue":"Drug Discovery Today","topic":"Hidradenitis Suppurativa and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"CMC Microsystems; Pfizer","keywords":"Drug development; Pharmaceutical sciences; Inflammation; Clinical trial; Medicine; Drug discovery; Drug; Clinical immunology; Immunology; Computational biology; Pharmacology; Bioinformatics; Biology; Internal medicine; Allergy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001540585,0.0001738027,0.0003226677,0.0002109964,0.00004025824,0.0001048525,0.00003929044,0.00007815802,0.00004784178],"category_scores_gemma":[0.00009047863,0.0001288818,0.00002710332,0.0002609615,0.00007914072,0.0003499751,0.00007235406,0.0001902577,0.00005373635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007796178,"about_ca_system_score_gemma":0.0002131873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002053577,"about_ca_topic_score_gemma":0.00006614596,"domain_scores_codex":[0.9986109,0.0001524502,0.0005308019,0.0003608105,0.0001472695,0.0001977835],"domain_scores_gemma":[0.9995319,0.0001850965,0.00004966233,0.0001312921,0.0000314906,0.00007061998],"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":[0.06704188,0.001994532,0.4754026,0.0008804357,0.001615477,0.005704447,0.1400453,0.00000181999,0.0124348,0.006604215,0.008087222,0.2801873],"study_design_scores_gemma":[0.2033253,0.00518744,0.2920333,0.008009875,0.0002560713,0.001233521,0.00849527,0.0001958216,0.06942736,0.002076807,0.4075962,0.002163097],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861643,0.0001002859,0.0001954666,0.002573095,0.0002236939,0.009820401,0.00001128936,0.00003410726,0.0008773727],"genre_scores_gemma":[0.9893239,0.00000802993,0.0007513461,0.0001108624,0.0002575396,0.005297641,0.00002697616,0.00002542589,0.004198301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.399509,"threshold_uncertainty_score":0.5255646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0730799514230364,"score_gpt":0.3781989942856115,"score_spread":0.3051190428625751,"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."}}