{"id":"W2337952466","doi":"10.1080/09640568.2015.1116980","title":"Analysis of uncertainty consideration in environmental assessment: an empirical study of Canadian EA practice","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Terminology; Consistency (knowledge bases); Uncertainty analysis; Environmental impact assessment; Environmental resource management; Risk analysis (engineering); Computer science; Environmental planning; Environmental science; Management science; Business; Engineering; Political science; Simulation","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":[],"consensus_categories":[],"category_scores_codex":[0.0008059232,0.0002026375,0.0004587639,0.0006895071,0.00009620054,0.00001881339,0.0001942258,0.00007182726,0.0004820826],"category_scores_gemma":[0.00001500393,0.0001558369,0.00009581985,0.0003567005,0.0002370169,0.0007156229,0.0001650182,0.0001443368,0.000004361292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000689711,"about_ca_system_score_gemma":0.00001198078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003530158,"about_ca_topic_score_gemma":0.003532978,"domain_scores_codex":[0.9976844,0.0002740934,0.0007921634,0.0002818321,0.0006929716,0.0002745631],"domain_scores_gemma":[0.9987668,0.0001311119,0.0006257158,0.0002133083,0.000002251719,0.0002608211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005862,0.001894127,0.9715069,0.000005782745,0.000627759,0.0001305821,0.002737029,0.009283749,0.008161067,0.000008151673,0.00007436642,0.005469892],"study_design_scores_gemma":[0.001592941,0.001087159,0.977651,0.00003234235,0.0006929217,0.00001141739,0.0173786,0.0003560167,0.00006945007,0.00003575837,0.0009233032,0.0001690716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976662,0.00005085823,0.0000755301,0.000197785,0.00005646268,0.0003037215,0.00005025712,0.000002509801,0.001596676],"genre_scores_gemma":[0.9987875,0.0002951846,0.0006510319,0.0001404806,0.00001361464,0.000005879174,0.00001200582,0.00001279089,0.00008156282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01464157,"threshold_uncertainty_score":0.6354846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306187202554529,"score_gpt":0.3287643475212458,"score_spread":0.3057024754957006,"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."}}