{"id":"W2597347602","doi":"","title":"The Canadian Federal Environmental Assessment Framework, as illustrated by the Canadian Environmental Assessment Agency and the National Energy Board","year":2016,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Environmental impact assessment; Energy (signal processing); Environmental resource management; Political science; Environmental protection; Environmental planning; Environmental science; Sociology; Law; Statistics; Mathematics; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006728015,0.0004923255,0.0002835143,0.00009131929,0.00452846,0.0006267184,0.001183026,0.0002976588,0.0009203708],"category_scores_gemma":[0.0000172916,0.0002841375,0.0001638353,0.0001751651,0.002365745,0.000758091,0.000582365,0.0005682678,0.0002469859],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007148347,"about_ca_system_score_gemma":0.000336332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3684774,"about_ca_topic_score_gemma":0.8656381,"domain_scores_codex":[0.9960558,0.0005936851,0.0003515768,0.0006806743,0.001279967,0.001038272],"domain_scores_gemma":[0.9980826,0.0003726154,0.0002456068,0.0004448654,0.000006212685,0.000848076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007356154,0.0001479262,0.9798865,0.0000028602,0.0002583968,0.00008400572,0.001306329,0.00004915527,0.002151354,0.005623456,0.001771996,0.008644422],"study_design_scores_gemma":[0.00208893,0.0001532107,0.7659158,0.00002760294,0.00008460534,0.00003989143,0.001681231,0.00007657162,0.0001214345,0.001270068,0.2278636,0.0006771724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514528,0.00005069097,0.0002615761,0.01550033,0.0003346527,0.0006743124,0.0003493214,0.00003966187,0.03133665],"genre_scores_gemma":[0.975211,0.0003837019,0.00005123623,0.002911067,0.00009162545,0.00001500956,0.00005842903,0.00004853114,0.02122943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4971607,"threshold_uncertainty_score":0.9999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019563634766747,"score_gpt":0.2297984949641825,"score_spread":0.219602858616515,"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."}}