{"id":"W4389037369","doi":"10.1080/23311975.2023.2284814","title":"Four decades of counterfeit research: A bibliometric analysis","year":2023,"lang":"en","type":"article","venue":"Cogent Business & Management","topic":"Pharmaceutical Quality and Counterfeiting","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Sultan Qaboos University","keywords":"Counterfeit; Rigour; Systematic review; Scopus; Bibliometrics; Subject (documents); Credibility; Transparency (behavior); Narrative; Sociology; Library science; Social science; Data science; Computer science; Political science; MEDLINE","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":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.002598349,0.0001518921,0.0004288772,0.07080497,0.0001215105,0.00005786964,0.0002713948,0.00005892611,0.0003909267],"category_scores_gemma":[0.0002855602,0.0001365472,0.0001855443,0.3187701,0.0001462885,0.0001033172,0.0004029753,0.0001845564,0.0003357007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000944149,"about_ca_system_score_gemma":0.00003748357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005723462,"about_ca_topic_score_gemma":0.000006042872,"domain_scores_codex":[0.9970623,0.0001200722,0.0004865414,0.0003978137,0.0013965,0.0005368255],"domain_scores_gemma":[0.9982498,0.0002328777,0.0001008817,0.0004849184,0.0007737682,0.0001577824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002038392,0.002760978,0.1845562,0.01465505,0.01958195,0.003311876,0.0009746856,0.002804153,0.01087492,0.009517008,0.03994599,0.7089788],"study_design_scores_gemma":[0.001382443,0.00005200125,0.932367,0.0003093087,0.002185527,0.000007227263,0.0007041862,0.005809589,0.001398713,0.0004776876,0.05510537,0.0002009259],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985166,0.0006649452,0.001497612,0.002487058,0.0001429041,0.0005932318,0.00001840251,0.0001626504,0.009267163],"genre_scores_gemma":[0.9951766,0.001761183,0.0001521984,0.0003260522,0.00008686734,0.00006895378,0.00005733086,0.00002068859,0.002350123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7478108,"threshold_uncertainty_score":0.9397267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4027593125632634,"score_gpt":0.4862715481254842,"score_spread":0.08351223556222082,"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."}}