{"id":"W2068581460","doi":"10.1016/j.eiar.2009.01.004","title":"Multi-jurisdictional environmental impact assessment: Canadian experiences","year":2009,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Winnipeg","funders":"University of Manitoba","keywords":"Harmonization; Jurisdiction; Standardization; Negotiation; Process (computing); Business; Environmental impact assessment; Public participation; Environmental planning; Process management; Public consultation; Environmental resource management; Environmental economics; Political science; Public relations; Computer science; Law; Economics; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009800921,0.00139279,0.001218909,0.0001994678,0.001138591,0.0002471771,0.001148229,0.0003405625,0.09082794],"category_scores_gemma":[0.0000159806,0.001174028,0.001138572,0.0004734807,0.0007237458,0.002067141,0.0003912502,0.0009965729,0.002517724],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01106393,"about_ca_system_score_gemma":0.0002637427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006096932,"about_ca_topic_score_gemma":0.0006170858,"domain_scores_codex":[0.9925552,0.0005252146,0.001283834,0.001450645,0.002085295,0.00209984],"domain_scores_gemma":[0.995957,0.00007844855,0.0005802882,0.001113707,0.00000338865,0.002267125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002998707,0.003310859,0.919223,0.00005387879,0.0003501964,0.0001922011,0.001452625,0.0004575659,0.02132375,0.00002004172,0.01621484,0.0373711],"study_design_scores_gemma":[0.001177856,0.001043574,0.984445,0.0002400904,0.0002034167,0.0001394184,0.0006260769,0.0007519233,0.0001319699,0.00009099587,0.009787076,0.001362633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770667,0.00591509,0.0003462123,0.0009658627,0.0004444449,0.002458387,0.0004610769,0.0001671501,0.01217506],"genre_scores_gemma":[0.974896,0.01469346,0.003838175,0.00394036,0.00018047,0.0002692789,0.001024218,0.0001050006,0.001053081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08831021,"threshold_uncertainty_score":0.9998823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127481152586309,"score_gpt":0.3446379580462673,"score_spread":0.3318898427876364,"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."}}