{"id":"W7117866334","doi":"10.17605/osf.io/v7a6w","title":"Mapping the Evolution of Fentanyl Research: A Scientometric Analysis of Clinical Applications and Abuse Trends (1964–2025)","year":2025,"lang":"","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anesthesiology; Public health; Multidisciplinary approach; Pain medicine; SAFER; Harm; Harm reduction; Fentanyl","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009393504,0.0008286554,0.001635063,0.1117,0.001057804,0.004502227,0.0008559129,0.0007681272,0.003260746],"category_scores_gemma":[0.0557881,0.0003640141,0.002984093,0.1658545,0.000805454,0.003658006,0.002599789,0.0007761742,0.0009285092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002104983,"about_ca_system_score_gemma":0.003968118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008693885,"about_ca_topic_score_gemma":0.009149301,"domain_scores_codex":[0.9893071,0.001884488,0.003044898,0.00147924,0.003513923,0.0007702244],"domain_scores_gemma":[0.9221243,0.04265747,0.01623522,0.002442398,0.01470449,0.001836084],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004887034,0.00008027562,0.8115856,0.01464725,0.003349151,0.001030213,0.003482423,0.002998841,0.001805472,0.003464578,0.01648531,0.1405822],"study_design_scores_gemma":[0.00004507974,0.0001557175,0.9162862,0.002730328,0.001729583,0.001552938,0.004312547,0.005300916,0.0008676252,0.00219597,0.06472177,0.0001013316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7428594,0.0977909,0.004286161,0.005091083,0.0003492656,0.000582812,0.135286,0.0006063728,0.01314807],"genre_scores_gemma":[0.8949878,0.04065328,0.006349367,0.0003981968,0.0004072897,0.0007050924,0.05478933,0.0001936397,0.001516046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9906065,"threshold_uncertainty_score":0.04967815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2764888701625899,"score_gpt":0.5292291962580474,"score_spread":0.2527403260954575,"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."}}