{"id":"W4241002595","doi":"10.31230/osf.io/n2ahd","title":"Environmental governance: A practical framework to guide design, evaluation, and analysis","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council of Canada; Liber Ero Foundation","keywords":"Corporate governance; Scholarship; Environmental governance; Project governance; Frame (networking); Set (abstract data type); Politics; Conceptual framework; Management science; Strategic environmental assessment; Environmental impact assessment; Environmental resource management; Environmental planning; Political science; Business; Computer science; Engineering; Sociology; Economics; Environmental science; Social science","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001212258,0.0004303033,0.0004739166,0.00005311432,0.0002310539,0.0001588298,0.0003439565,0.0004298885,0.03457513],"category_scores_gemma":[0.0002774087,0.0003982678,0.0001854646,0.0002994617,0.000399778,0.0002321145,0.002690325,0.0004597438,0.001598189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682316,"about_ca_system_score_gemma":0.00004881257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004970095,"about_ca_topic_score_gemma":0.00007352798,"domain_scores_codex":[0.9961597,0.0003397817,0.0004678562,0.00105836,0.001510169,0.0004640816],"domain_scores_gemma":[0.9984106,0.000173235,0.0002552295,0.0006926571,0.000005981665,0.0004622308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001384959,0.00115806,0.8675803,0.00002184797,0.002291394,0.00003309515,0.003877209,0.01569663,0.002001893,0.000210925,0.07703996,0.02995019],"study_design_scores_gemma":[0.0002462961,0.0001849474,0.9722944,0.00002847512,0.001758393,0.000004603481,0.000262103,0.009255615,0.0004869783,0.008818897,0.005881206,0.0007780954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6982766,0.0001303842,0.2691226,0.002662726,0.0005079946,0.002662768,0.0001787176,0.00009293835,0.02636521],"genre_scores_gemma":[0.8051731,0.0002240285,0.1902997,0.001666267,0.0001613698,0.0002035073,0.00006115864,0.00003818161,0.002172722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068965,"threshold_uncertainty_score":0.9998469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660225650253166,"score_gpt":0.3753913297613961,"score_spread":0.3387890732588644,"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."}}