{"id":"W4255816641","doi":"10.32920/ryerson.14646342.v1","title":"Best practices for Strategic Environmental Assessment and application to the Ontario Long-Term Energy Plan","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Strategic environmental assessment; Sustainability; Environmental impact assessment; Business; Environmental resource management; Strategic planning; Resource (disambiguation); Best practice; Environmental planning; Plan (archaeology); Environmental economics; Process (computing); Energy planning; Energy consumption; Renewable energy; Engineering; Environmental science; Economics; Computer science; Political science; Geography; Management; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02752763,0.001185265,0.0006925929,0.009919414,0.006021093,0.01535424,0.003837438,0.002689437,0.01020629],"category_scores_gemma":[0.04430294,0.001194268,0.0009985309,0.01500899,0.008114712,0.003860557,0.00600079,0.00233156,0.002781966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08759943,"about_ca_system_score_gemma":0.117917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8518085,"about_ca_topic_score_gemma":0.9305271,"domain_scores_codex":[0.9721737,0.008068034,0.002710755,0.001136367,0.01452237,0.00138886],"domain_scores_gemma":[0.9680318,0.007318077,0.001573893,0.004326724,0.01719572,0.001553832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006020948,0.0001215696,0.006240356,0.00114897,0.00009277659,0.0009992674,0.02291977,0.02241975,0.001501285,0.4312834,0.1020822,0.4111303],"study_design_scores_gemma":[0.00004595394,0.00002919261,0.007644804,0.001967146,0.00005814488,0.000268892,0.01099958,0.01525214,0.001206,0.1568615,0.8055199,0.0001466845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01893987,0.004575884,0.3944274,0.03725839,0.0005824175,0.003789509,0.004806724,0.002401864,0.5332178],"genre_scores_gemma":[0.1197974,0.003664873,0.8278093,0.0008325909,0.0000743304,0.001124446,0.003495664,0.0005758776,0.04262552],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1481915,"threshold_uncertainty_score":0.6355813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0494732444359688,"score_gpt":0.3355820746028734,"score_spread":0.2861088301669046,"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."}}