{"id":"W2025761838","doi":"10.1142/s1464333212500159","title":"ADVANCING A NATIONAL STRATEGIC ENVIRONMENTAL ASSESSMENT FOR THE CANADIAN OFFSHORE OIL AND GAS INDUSTRY WITH SPECIAL EMPHASIS ON CUMULATIVE EFFECTS","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental Assessment Policy and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Industry Canada; Strategic Research Council; Beaufort Regional Environmental Assessment","keywords":"Strategic environmental assessment; Cumulative effects; Offshore oil and gas; Sustainability; Submarine pipeline; Environmental impact assessment; Environmental planning; Business; Environmental resource management; Process (computing); Wildlife; Environmental science; Petroleum industry; Environmental protection; Natural resource economics; Engineering; Environmental engineering; Ecology; Economics; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005248948,0.0008064967,0.0003605177,0.004369201,0.005858789,0.004360477,0.001725435,0.001351367,0.002116607],"category_scores_gemma":[0.006110328,0.0003124537,0.0006640099,0.002592041,0.00194022,0.001652395,0.003448861,0.001450869,0.0002380414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05291636,"about_ca_system_score_gemma":0.2973756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9408386,"about_ca_topic_score_gemma":0.9835737,"domain_scores_codex":[0.9930335,0.0007598186,0.0001994016,0.0002192301,0.004886285,0.0009017513],"domain_scores_gemma":[0.9901646,0.0003610625,0.0002318913,0.000157624,0.008302335,0.0007824919],"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":[0.0001283862,0.0002247018,0.05646778,0.001206301,0.0001697383,0.001024778,0.003682654,0.07346694,0.006667986,0.2677725,0.1758917,0.4132965],"study_design_scores_gemma":[0.00002958297,0.0001900052,0.08926421,0.001581233,0.0002767081,0.0004817483,0.01877245,0.04003236,0.005317388,0.08418211,0.7595337,0.0003385288],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.186928,0.01167033,0.0931556,0.1387588,0.0009160171,0.001862557,0.005680119,0.0007589318,0.5602696],"genre_scores_gemma":[0.8090686,0.006214185,0.1370811,0.006194816,0.00007633452,0.0003374004,0.001935017,0.0000790646,0.0390135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05916142,"threshold_uncertainty_score":0.3839368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489945226029901,"score_gpt":0.3060123522501266,"score_spread":0.2911128999898276,"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."}}