{"id":"W2766500732","doi":"10.1080/21582041.2017.1393556","title":"Environmental impact assessment: evidence-based policymaking in Brazil","year":2017,"lang":"en","type":"article","venue":"Contemporary Social Science","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Latin Americans; Environmental impact assessment; Sustainability; Vision; Adjudication; State (computer science); Political science; Public administration; Public economics; Economic growth; Sociology; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1442711,0.0006632184,0.001212143,0.006971862,0.003101494,0.008641253,0.002452061,0.004530603,0.001395604],"category_scores_gemma":[0.3054649,0.0007151847,0.001094185,0.007888704,0.008153494,0.005177964,0.005761407,0.00600507,0.0001304833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02610756,"about_ca_system_score_gemma":0.08526856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07614256,"about_ca_topic_score_gemma":0.1444935,"domain_scores_codex":[0.9143785,0.06325862,0.008507624,0.002364735,0.00981419,0.001676394],"domain_scores_gemma":[0.6119403,0.3338767,0.01834479,0.006219513,0.02633353,0.003285259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003443387,0.000832202,0.03287387,0.05421111,0.001059359,0.001542117,0.02236291,0.009987595,0.001234416,0.2855721,0.01219683,0.5777832],"study_design_scores_gemma":[0.0008411735,0.001104792,0.05601983,0.3453956,0.002902764,0.001056391,0.0391848,0.01231824,0.003369093,0.2769945,0.2604847,0.0003281246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07921874,0.4039923,0.01556937,0.4082727,0.001331843,0.001928744,0.0004516798,0.0001006361,0.089134],"genre_scores_gemma":[0.8068439,0.149705,0.02533839,0.0159133,0.0003683982,0.0009223153,0.0001131317,0.0000282408,0.0007673664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1442711,"threshold_uncertainty_score":0.7629876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06921771778026461,"score_gpt":0.4013212535216949,"score_spread":0.3321035357414303,"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."}}