{"id":"W4391386792","doi":"10.22541/au.170670892.22092232/v1","title":"Early model-based precision-dosing at home to guide adalimumab therapy","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Adalimumab; Medicine; Dosing; Prospective cohort study; Internal medicine; Pharmacokinetics; Therapeutic drug monitoring; Population; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007438784,0.0005373429,0.0007458729,0.0002859634,0.0001529946,0.0001076769,0.0006738261,0.001399371,0.002485675],"category_scores_gemma":[0.0000837967,0.0003754032,0.0005041168,0.0001997141,0.0001688383,0.00001842323,0.001883334,0.001176869,0.001220684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002485922,"about_ca_system_score_gemma":0.0002808934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001468973,"about_ca_topic_score_gemma":0.00002791738,"domain_scores_codex":[0.9972346,0.000290659,0.0006483059,0.001141065,0.00009825636,0.0005870858],"domain_scores_gemma":[0.998341,0.0003187431,0.00009946693,0.00100401,0.0001427182,0.00009412127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002793716,0.0005621668,0.000404483,0.0003270638,0.002005068,0.00005360888,0.0006961976,0.00406858,0.4334903,0.003530968,0.3385687,0.2134992],"study_design_scores_gemma":[0.003629175,0.001289861,0.001430756,0.001488737,0.0006325282,0.00004033259,0.00005265176,0.01644924,0.4993254,0.06940937,0.4030131,0.003238885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6677071,0.04606792,0.1685731,0.0297541,0.01410782,0.004107271,0.001326405,0.001727262,0.06662896],"genre_scores_gemma":[0.7189223,0.0005158264,0.09100079,0.01072244,0.0002388469,0.0001924,0.000170021,0.0001913942,0.178046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2102603,"threshold_uncertainty_score":0.999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04282159200818242,"score_gpt":0.3346772948019855,"score_spread":0.2918557027938031,"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."}}