{"id":"W4404610816","doi":"10.1002/psp4.13280","title":"Clinical study design strategies to mitigate confounding effects of time‐dependent clearance on dose optimization of therapeutic antibodies","year":2024,"lang":"en","type":"article","venue":"CPT Pharmacometrics & Systems Pharmacology","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Killam Trusts","keywords":"Confounding; Medicine; Sample size determination; Population; Clinical trial; Internal medicine; Statistics; Mathematics","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":[0.1539853,0.001535231,0.001465181,0.001123392,0.000635203,0.002001813,0.001849301,0.002981175,0.006670445],"category_scores_gemma":[0.2130433,0.001508386,0.002082735,0.0008356399,0.001373274,0.00178607,0.00200898,0.002643475,0.001351555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170565,"about_ca_system_score_gemma":0.004816884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004317305,"about_ca_topic_score_gemma":0.0006068925,"domain_scores_codex":[0.8466166,0.1430705,0.003987253,0.002396406,0.003234569,0.000694841],"domain_scores_gemma":[0.8302186,0.1292178,0.01593828,0.01486692,0.007703754,0.002054613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.1039412,0.006674741,0.03700192,0.007782695,0.008924477,0.001302738,0.002152218,0.2619366,0.02092852,0.1166819,0.01545489,0.4172181],"study_design_scores_gemma":[0.0950933,0.07342308,0.0211673,0.003047876,0.008505541,0.001200207,0.0004721879,0.4411144,0.0350923,0.1954896,0.1249119,0.0004822946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08407333,0.002249151,0.7977139,0.004010453,0.000849202,0.09791051,0.001402345,0.001196687,0.01059437],"genre_scores_gemma":[0.3916015,0.0008443175,0.4755666,0.002821184,0.0001848655,0.126468,0.0004216275,0.00009873788,0.001993149],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1539853,"threshold_uncertainty_score":0.814362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06467598173167563,"score_gpt":0.4262226507039056,"score_spread":0.36154666897223,"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."}}