{"id":"W2098486408","doi":"10.1080/13504509.2011.634929","title":"Barriers to environmental management in clusters of small businesses in Brazil and Japan: from a lack of knowledge to a decline in traditional knowledge","year":2011,"lang":"en","type":"article","venue":"International Journal of Sustainable Development & World Ecology","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Cluster (spacecraft); Scarcity; Business; Originality; Corporate governance; Regional science; Geography; Economic geography; Economics; Sociology; Qualitative research; Computer science; Social science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008707867,0.0002286088,0.0004754893,0.002921555,0.00003328286,0.00002962144,0.0006030465,0.00007085078,0.0005765284],"category_scores_gemma":[0.0002179935,0.0002487569,0.00005194922,0.0008604433,0.0001360241,0.0005962303,0.0009175073,0.0001750414,0.00001387574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001193085,"about_ca_system_score_gemma":0.0001789402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006431835,"about_ca_topic_score_gemma":0.008993641,"domain_scores_codex":[0.9977438,0.00004125337,0.001240948,0.0003049076,0.0002861114,0.0003829933],"domain_scores_gemma":[0.9990721,0.0001343516,0.0004180633,0.0001138872,0.0001980039,0.00006361417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001076542,0.001382751,0.983264,0.0002744074,0.0001156742,0.0004656128,0.00443871,0.00151038,0.0001015446,0.002913971,0.0001878035,0.004268636],"study_design_scores_gemma":[0.002302488,0.00003905298,0.9804488,0.000201372,0.00001737852,0.000006737645,0.007674427,0.0001018313,0.0001568716,0.003040714,0.005792825,0.0002175173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960797,0.00009394572,0.00009866072,0.001380657,0.0003065495,0.0005441205,0.000004429699,0.000004222198,0.001487712],"genre_scores_gemma":[0.995461,0.0000219971,0.003200264,0.0008548745,0.00008395201,0.00005475569,0.00001586437,0.00002116031,0.0002861433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008350458,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02451802158371232,"score_gpt":0.243780905139439,"score_spread":0.2192628835557267,"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."}}