{"id":"W4407636407","doi":"10.1007/s00267-025-02125-1","title":"A Policy Scan of Cumulative Effects Assessment in Support of Renewable Clean Growth Projects in Canada","year":2025,"lang":"en","type":"article","venue":"Environmental Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Nature Conservation; Renewable energy; Cumulative effects; Forest management; Natural resource economics; Environmental policy; Business; Environmental science; Environmental planning; Environmental protection; Environmental resource management; Economics; Engineering; Agroforestry; Ecology","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":[0.02645159,0.0005044612,0.000927967,0.006408328,0.01124429,0.009282982,0.003941681,0.002322237,0.003455925],"category_scores_gemma":[0.05642056,0.0008058609,0.0009084214,0.01117489,0.004291526,0.002560031,0.004074168,0.0037673,0.0002188595],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.3096597,"about_ca_system_score_gemma":0.6154624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947173,"about_ca_topic_score_gemma":0.9971507,"domain_scores_codex":[0.974831,0.004344526,0.00150729,0.00199285,0.01135021,0.005973978],"domain_scores_gemma":[0.8772736,0.03259476,0.004211228,0.003042069,0.07379901,0.009079454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008612969,0.0004009033,0.1638124,0.007819417,0.0006659994,0.003812457,0.03611482,0.02582494,0.007618741,0.1769528,0.1985352,0.3775811],"study_design_scores_gemma":[0.0001408054,0.0002884233,0.2336731,0.00557659,0.0006761517,0.0003710981,0.04497936,0.01011669,0.004936751,0.01398579,0.6845548,0.0007003372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4482156,0.03161166,0.02109229,0.1916705,0.001109008,0.003531681,0.03222826,0.001224684,0.2693163],"genre_scores_gemma":[0.9186062,0.01092624,0.02690584,0.02038138,0.00006604896,0.001082822,0.003752458,0.0001664095,0.01811265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6903403,"threshold_uncertainty_score":0.800697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00467985245899666,"score_gpt":0.2515167938055736,"score_spread":0.246836941346577,"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."}}