{"id":"W2048489146","doi":"10.1016/j.jenvman.2012.11.033","title":"Culture, intangibles and metrics in environmental management","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":268,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Mindset; Ecosystem services; Indigenous; Environmental resource management; Process (computing); Environmental ethics; Resource (disambiguation); Sociology; Public relations; Business; Environmental planning; Management science; Political science; Geography; Computer science; Ecology; Engineering; Economics; Ecosystem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003417394,0.0004224112,0.0003121834,0.002600599,0.001190417,0.006553577,0.0005133513,0.001090115,0.003520709],"category_scores_gemma":[0.01588358,0.0002085707,0.0001984452,0.004276133,0.007689178,0.008125861,0.002551195,0.001647216,0.0001717331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002779127,"about_ca_system_score_gemma":0.00148533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842392,"about_ca_topic_score_gemma":0.008558974,"domain_scores_codex":[0.9981025,0.001210799,0.0001131186,0.0001140621,0.000352538,0.0001069371],"domain_scores_gemma":[0.9849719,0.01021767,0.002016744,0.0005967405,0.001248551,0.0009484051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005644507,0.0001376758,0.05989995,0.0001491846,0.00006382325,0.0001116507,0.004788919,0.003597165,0.0002741669,0.8411127,0.001615538,0.08819269],"study_design_scores_gemma":[0.00001253971,0.00009045727,0.03687211,0.0002599356,0.00005007564,0.000141248,0.008269537,0.007561085,0.000286723,0.9336432,0.01276296,0.00005007946],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6864547,0.02213269,0.05508999,0.02382872,0.0005193643,0.00006142228,0.0003002578,0.00005485266,0.2115581],"genre_scores_gemma":[0.9939052,0.001178238,0.002960295,0.0001367846,0.00005818366,0.00001947079,0.00001659478,0.00001082671,0.001714309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006553577,"threshold_uncertainty_score":0.02016407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004052059055348641,"score_gpt":0.1728979206755741,"score_spread":0.1688458616202254,"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."}}