{"id":"W1976959358","doi":"10.1080/14615517.2014.941233","title":"First steps toward best practice SEA in a developing nation: lessons from the central Namib uranium rush SEA","year":2014,"lang":"en","type":"article","venue":"Impact Assessment and Project Appraisal","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Best practice; Strategic environmental assessment; Baseline (sea); Environmental planning; Process (computing); Good practice; Environmental resource management; Political science; Environmental science; Environmental impact assessment; Computer science; Engineering ethics; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007355899,0.0003822412,0.0003307223,0.00004823595,0.0004168068,0.0003342197,0.0003772589,0.0001609538,0.0003235439],"category_scores_gemma":[0.000174951,0.0002773977,0.0001064203,0.0003999402,0.0002424324,0.001162599,0.0003643454,0.0004271062,0.00005888199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008584817,"about_ca_system_score_gemma":0.0001336945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681056,"about_ca_topic_score_gemma":0.003601108,"domain_scores_codex":[0.9971955,0.0004357221,0.0003874538,0.0005039754,0.0007386297,0.0007387261],"domain_scores_gemma":[0.9981522,0.001151333,0.0002201749,0.0002798742,0.00001114055,0.0001852739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001061233,0.0005390871,0.9805026,0.00001639731,0.0001043073,0.00001416031,0.005991035,0.0001746909,0.0004770655,0.000645428,0.002110128,0.009318952],"study_design_scores_gemma":[0.001295909,0.0003333489,0.9675159,0.00006108354,0.00006607014,0.00001636136,0.003178594,0.002254654,0.0001051962,0.0002529245,0.02445619,0.0004637187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673039,0.00007463574,0.002688425,0.01291621,0.0005001742,0.0008365328,0.0001035884,0.00006048629,0.01551607],"genre_scores_gemma":[0.994478,0.0002316871,0.003983065,0.0007578798,0.0002769612,0.00007065562,0.0001084531,0.00003550339,0.00005778562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02717412,"threshold_uncertainty_score":0.9999678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04197544383493997,"score_gpt":0.3902467384809496,"score_spread":0.3482712946460096,"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."}}