{"id":"W4387339768","doi":"10.1111/jiec.13441","title":"“A fine wine, better with age”: Circular economy historical roots and influential publications: A bibliometric analysis using Reference Publication Year Spectroscopy (RPYS)","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"","keywords":"Viewpoints; Context (archaeology); Bibliometrics; Web of science; Regional science; Library science; Social science; Political science; Geography; Sociology; Computer science; MEDLINE; Law","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":[0.001405344,0.0001841609,0.0004895212,0.0612695,0.0001727997,0.0005928834,0.0003625958,0.0001943116,0.0004740597],"category_scores_gemma":[0.001047182,0.0001650816,0.0001117652,0.07217751,0.00006785968,0.001586815,0.0002118093,0.0004136901,0.0000335674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006443626,"about_ca_system_score_gemma":0.0001730394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408092,"about_ca_topic_score_gemma":0.0000667351,"domain_scores_codex":[0.9981861,0.00005569402,0.0007306305,0.0003062256,0.0003231827,0.0003982072],"domain_scores_gemma":[0.9975972,0.000133641,0.001085728,0.0002659312,0.0008675273,0.00004993054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002471613,0.0002126956,0.8935483,0.00008983866,0.001475978,0.0001722927,0.00003275469,0.003201949,0.0001990062,0.002395432,0.09425012,0.004174444],"study_design_scores_gemma":[0.004377997,0.0002248795,0.55541,0.00002517882,0.002129846,0.00002744556,0.0003775713,0.005037485,0.00001865434,0.002341436,0.4295414,0.0004881012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838956,0.00003850001,0.001410972,0.01250225,0.0003496598,0.0003493873,0.000001519672,0.00006382268,0.00138831],"genre_scores_gemma":[0.9949536,0.00001164724,0.0007777264,0.0006858711,0.003163684,0.0000243648,0.00006293353,0.00003071678,0.0002895056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3381383,"threshold_uncertainty_score":0.9493702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04963132602524237,"score_gpt":0.265644172143899,"score_spread":0.2160128461186566,"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."}}