{"id":"W4285167361","doi":"10.5327/z2176-94781277","title":"Assessing circular economy in Brazilian industries through the analytical hierarchy process","year":2022,"lang":"en","type":"article","venue":"Revista Brasileira de Ciências Ambientais","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Analytic hierarchy process; Multidisciplinary approach; Sustainability; Sustainable development; Business; Sample (material); Process (computing); Circular economy; Investment (military); Hierarchy; Action (physics); Index (typography); Environmental economics; Industrial organization; Economics; Engineering; Computer science; Political science; Market economy; Operations research","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017666,0.0003797524,0.0004527396,0.0005558665,0.00106714,0.002197768,0.001165917,0.00008383555,0.001231738],"category_scores_gemma":[0.0004535276,0.0003588105,0.0001721229,0.003237894,0.0002224381,0.002661271,0.001030205,0.0008508943,0.00005673955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009621605,"about_ca_system_score_gemma":0.00027428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009314925,"about_ca_topic_score_gemma":0.00003016506,"domain_scores_codex":[0.9968531,0.0001612791,0.0006768515,0.0007363133,0.0006165779,0.000955861],"domain_scores_gemma":[0.998567,0.0001542795,0.0003702534,0.0007185591,0.0001561749,0.00003377629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005121669,0.0003469544,0.882462,0.0009358412,0.00009928482,0.0004543019,0.0009010083,0.007553061,0.00000944132,0.08529352,0.01790163,0.003991706],"study_design_scores_gemma":[0.001284697,0.00003203889,0.1963343,0.0001133019,0.0001744531,0.00002738672,0.06035229,0.01742976,0.00001405432,0.006718853,0.7166024,0.0009163895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622133,0.0003872127,0.001103556,0.00404957,0.0001981022,0.001394321,0.000006338701,0.0002058168,0.03044179],"genre_scores_gemma":[0.9875092,0.000003161011,0.00003528755,0.01105028,0.0004714913,0.000415602,0.00007751797,0.00007637754,0.0003610674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6987008,"threshold_uncertainty_score":0.9998864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289858933595919,"score_gpt":0.2866768201760542,"score_spread":0.2576909268164623,"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."}}