{"id":"W2793918266","doi":"10.18433/jpps29656","title":"Considerations and Pitfalls in Selecting the Drug Vehicles for Evaluation of New Drug Candidates: Focus on in vivo Pharmaco-Toxicological Assays Based on the Rotarod Performance Test","year":2018,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Ministerio de Economía y Competitividad","keywords":"Neurotoxicity; In vivo; Polyethylene glycol; Pharmacology; Dimethyl sulfoxide; Drug; Toxicity; Chemistry; PEG ratio; Medicine; Biochemistry; Biotechnology; Biology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.007908612,0.0001677237,0.0002225913,0.0001703931,0.0004515324,0.00009974464,0.0003478204,0.00002018129,0.0003082092],"category_scores_gemma":[0.002213801,0.0000895608,0.00006585759,0.0004419974,0.0006004418,0.0002896186,0.00004712823,0.0004860668,0.000003011528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003087,"about_ca_system_score_gemma":0.0004006782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008988532,"about_ca_topic_score_gemma":0.00005655312,"domain_scores_codex":[0.9974185,0.000654083,0.0005795194,0.0002470483,0.0007729244,0.0003279057],"domain_scores_gemma":[0.9926014,0.006591982,0.0003633181,0.000071416,0.000255414,0.0001164569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005264332,0.002383138,0.4037151,0.0001047496,0.0001049345,0.00005699505,0.008400243,0.01052317,0.4646921,0.001770627,0.008296017,0.09468865],"study_design_scores_gemma":[0.003783706,0.001529671,0.01278431,0.0002221649,0.0000793348,0.00005411611,0.0004514872,0.7696155,0.2091471,0.001472033,0.0007093606,0.0001512147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869486,0.0002360965,0.0000211742,0.01114802,0.0001524656,0.0005079212,0.000008800921,0.000009654304,0.0009672493],"genre_scores_gemma":[0.9979945,0.00006381424,0.0003575932,0.001196698,0.0003440525,0.00002046393,1.341145e-7,0.00000775036,0.00001502347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7590923,"threshold_uncertainty_score":0.3652184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3278930198961095,"score_gpt":0.4959710564562198,"score_spread":0.1680780365601103,"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."}}