{"id":"W2142214994","doi":"10.1080/09640568.2013.860017","title":"How knowledge is used in collaborative environmental governance: water classification in New Brunswick, Canada","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Waterloo","funders":"Canadian Water Network","keywords":"Experiential knowledge; Reflexivity; Collaborative governance; Experiential learning; Knowledge management; Environmental governance; Corporate governance; Sociology of scientific knowledge; Political science; Business; Sociology; Epistemology; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00362072,0.0002441392,0.0004007912,0.002061876,0.02268725,0.00937373,0.002206337,0.001246868,0.00312538],"category_scores_gemma":[0.008030904,0.0003286143,0.0002809763,0.00584825,0.008046567,0.002587213,0.005161609,0.001354587,0.0001802893],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1528768,"about_ca_system_score_gemma":0.177286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966766,"about_ca_topic_score_gemma":0.9990864,"domain_scores_codex":[0.9955927,0.001228691,0.0001574286,0.0004122415,0.00100345,0.001605584],"domain_scores_gemma":[0.9940328,0.00177381,0.0005517794,0.0003263055,0.00191813,0.001397248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001902879,0.0002732896,0.2424777,0.0002898361,0.00008846397,0.003776451,0.5679407,0.003786461,0.001872184,0.0439547,0.01098485,0.1243652],"study_design_scores_gemma":[0.00002833839,0.00004127571,0.1808462,0.0003067183,0.000049506,0.0002040827,0.7232351,0.002732665,0.0007167648,0.004461817,0.08727876,0.00009880181],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344478,0.0007179354,0.001193341,0.007998042,0.00002876105,0.0001565278,0.0002088679,0.00002195495,0.05522674],"genre_scores_gemma":[0.9936597,0.0003250719,0.0008281049,0.0002335059,0.000002046296,0.0000236197,0.00008249652,0.00001078193,0.004834738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8471231,"threshold_uncertainty_score":0.9825428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009925738292601164,"score_gpt":0.2086769948263384,"score_spread":0.1987512565337372,"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."}}