{"id":"W4388420614","doi":"10.1080/02791072.2023.2276230","title":"Three Decades of Research on the Development of Ibogaine Treatment of Substance Use Disorders: A Scientometric Analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Psychoactive Drugs","topic":"Psychedelics and Drug Studies","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Substance abuse; Medicine; Meta-analysis; Psychology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002713356,0.000172595,0.0006386137,0.004736948,0.0001438004,0.00001502481,0.0004297818,0.00006843798,0.0001006603],"category_scores_gemma":[0.0001671784,0.000104858,0.0004104229,0.01382237,0.0003676341,0.00008651087,0.00002690635,0.0002049108,0.00001323177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147609,"about_ca_system_score_gemma":0.00009560036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001055168,"about_ca_topic_score_gemma":0.0004605847,"domain_scores_codex":[0.9970444,0.0002386879,0.000943228,0.000260797,0.001160051,0.0003528603],"domain_scores_gemma":[0.9951319,0.002360354,0.0009677783,0.0004564239,0.001002309,0.00008123727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005475788,0.01014174,0.6152348,0.0000980512,0.02569954,0.00001769987,0.2328679,0.0005002876,0.004014809,0.01145358,0.0112603,0.08323554],"study_design_scores_gemma":[0.001805878,0.001111099,0.9617434,0.0001135522,0.0002783268,0.000001069251,0.02702455,0.00003911457,0.003028428,0.002273278,0.002454047,0.0001272232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935356,0.0008700023,0.0006929739,0.000805831,0.0003117576,0.0002378073,0.00003207019,0.000005299984,0.003508594],"genre_scores_gemma":[0.9983645,0.0006675847,0.0005633858,0.000009650557,0.00005099922,0.00002041996,0.00000179659,0.00001441179,0.0003072365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465086,"threshold_uncertainty_score":0.6641192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2743457244069428,"score_gpt":0.4880494760621465,"score_spread":0.2137037516552037,"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."}}