{"id":"W2983830581","doi":"10.1097/jcp.0000000000000838","title":"Improving the Clinical Pharmacologic Assessment of Abuse Potential","year":2018,"lang":"en","type":"review","venue":"Journal of Clinical Psychopharmacology","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Toronto","funders":"","keywords":"Standardization; Context (archaeology); Substance abuse; Risk analysis (engineering); Food and drug administration; Medicine; Psychology; Computer science; Psychiatry","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":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.03265245,0.001135299,0.008731126,0.0007606201,0.0004592807,0.00003790507,0.003496181,0.004519687,0.006021559],"category_scores_gemma":[0.001962865,0.0006994013,0.008205221,0.001079749,0.005165957,0.0002285942,0.0004477992,0.01331262,0.0002695555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702686,"about_ca_system_score_gemma":0.003242158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004684412,"about_ca_topic_score_gemma":0.000005839885,"domain_scores_codex":[0.9638062,0.01930176,0.0138312,0.001123769,0.0007845174,0.00115262],"domain_scores_gemma":[0.9633517,0.01577829,0.01757818,0.0008895935,0.00140095,0.001001301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002302466,0.003768233,0.0006966911,0.002035605,0.01320943,0.0006832397,0.00006169241,0.00007695314,0.00003593812,0.0001074525,0.1604769,0.8165454],"study_design_scores_gemma":[0.008202111,0.002734797,0.0002106835,0.0005220772,0.02947853,0.0006798119,0.00004265787,0.000737752,0.0000105968,0.0001836446,0.9566087,0.0005886743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006390809,0.930455,0.0005091181,0.0006665601,0.05882479,0.001475447,0.0001371845,0.00005438715,0.001486703],"genre_scores_gemma":[0.003790663,0.9758218,0.001297473,0.00419355,0.01398514,0.00005745514,0.00002313686,0.0001144412,0.0007163322],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8159567,"threshold_uncertainty_score":0.9995457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2989767703392658,"score_gpt":0.625982742463431,"score_spread":0.3270059721241652,"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."}}