{"id":"W4413310337","doi":"10.52843/cassyni.phvy5h","title":"Exploratory Clinical Pharmacology for Drug Repurposing: Feasible Approaches and Insights","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repurposing; Drug repositioning; Drug; Clinical pharmacology; Pharmacology; Computer science; Medicine; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005489148,0.0003185681,0.0005711659,0.0001272803,0.000151303,0.0000686743,0.0003165857,0.0002673957,0.00003206323],"category_scores_gemma":[0.0001724544,0.0002758081,0.0001923601,0.00005305945,0.0002101892,0.00007759297,0.001150734,0.0006645074,0.000008585544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003400183,"about_ca_system_score_gemma":0.000195163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002101412,"about_ca_topic_score_gemma":0.000005242492,"domain_scores_codex":[0.9978247,0.0003250823,0.0005616061,0.0009488601,0.00009748684,0.0002422412],"domain_scores_gemma":[0.9981927,0.001042519,0.0002568662,0.0003025913,0.00009198595,0.0001133698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01571673,0.006614086,0.04039027,0.01580945,0.00690427,0.0008642103,0.03067029,0.0003055714,0.004442391,0.07178029,0.614209,0.1922935],"study_design_scores_gemma":[0.0174985,0.01015442,0.01490784,0.004647335,0.003184096,0.0002425616,0.01655974,0.1788382,0.0136102,0.1817543,0.5505764,0.008026422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560956,0.00377884,0.002329822,0.0005377854,0.002583285,0.001316159,0.00006098253,0.0004976113,0.0327999],"genre_scores_gemma":[0.9576734,0.0005308235,0.02519793,0.0007279071,0.001272897,0.0005699637,0.00005613737,0.00004380606,0.01392715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.184267,"threshold_uncertainty_score":0.9999694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5906858132047018,"score_gpt":0.5051984978907993,"score_spread":0.08548731531390252,"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."}}