{"id":"W2046456138","doi":"10.1016/j.eiar.2008.10.002","title":"Community-based approaches to strategic environmental assessment: Lessons from Costa Rica","year":2008,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"The King's University; University of Manitoba","funders":"","keywords":"Strategic environmental assessment; Livelihood; Environmental planning; Government (linguistics); Environmental resource management; Watershed; Process (computing); Notice; Environmental impact assessment; Business; Geography; Political science; Agriculture; Computer science; Environmental science","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":[0.01170351,0.0008238385,0.0008031899,0.003805347,0.002504053,0.00488456,0.001997431,0.001534242,0.002098351],"category_scores_gemma":[0.01106961,0.0002329259,0.0005448158,0.005468188,0.003891932,0.003194945,0.003407557,0.001636599,0.0001985008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01313866,"about_ca_system_score_gemma":0.02519055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2456235,"about_ca_topic_score_gemma":0.4524471,"domain_scores_codex":[0.994963,0.003540513,0.000142737,0.0001464286,0.0008150467,0.0003922954],"domain_scores_gemma":[0.9932398,0.003101653,0.0003215305,0.000454578,0.002497093,0.0003853232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004883209,0.0001877501,0.01114913,0.002506067,0.000338332,0.0004924732,0.007136892,0.02677737,0.0004538559,0.3934793,0.02169496,0.535735],"study_design_scores_gemma":[0.0001052213,0.000204012,0.0371177,0.007114378,0.0005662656,0.0005200105,0.04043898,0.02790059,0.0006842294,0.451115,0.4341245,0.0001091314],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09840545,0.2643872,0.08160583,0.1473798,0.0009077978,0.0007261094,0.0003736032,0.0003955484,0.4058186],"genre_scores_gemma":[0.8557657,0.0901047,0.04205644,0.003628533,0.0001970367,0.0004287745,0.0001292859,0.00006071609,0.007628934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2456235,"threshold_uncertainty_score":0.4883877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1700029961097153,"score_gpt":0.3600209466307973,"score_spread":0.190017950521082,"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."}}