{"id":"W2067983421","doi":"10.1016/s1464-3332(00)00046-1","title":"Managing Regional Cumulative Effects of Oil Sands Development in Alberta, Canada","year":2000,"lang":"en","type":"article","venue":"Journal of Environmental Assessment Policy and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"King's University College","funders":"","keywords":"Cumulative effects; Oil sands; Library science; Environmental policy; Environmental planning; Geography; Regional science; Political science; Environmental resource management; Operations research; Archaeology; Engineering; Environmental science; Computer science","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":[0.001039113,0.0005444026,0.0004311376,0.00154052,0.002214783,0.002611256,0.001753293,0.0005403313,0.00179315],"category_scores_gemma":[0.002886641,0.0002727661,0.0002725148,0.00234198,0.0006476686,0.0007248779,0.001411185,0.0003877823,0.0001622609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02747532,"about_ca_system_score_gemma":0.02944452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9571664,"about_ca_topic_score_gemma":0.990634,"domain_scores_codex":[0.999299,0.00009703861,0.00002611081,0.00007193891,0.0002474478,0.0002585013],"domain_scores_gemma":[0.9985955,0.0002592915,0.0001741144,0.00004804706,0.0006344079,0.0002886392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005069214,0.0002415792,0.1105235,0.0001874149,0.0002454409,0.001064187,0.000950108,0.6861667,0.005952003,0.003243533,0.006703265,0.1842153],"study_design_scores_gemma":[0.0001858438,0.0009106991,0.2043502,0.0001349848,0.000860823,0.0003632941,0.02213959,0.7090534,0.01458822,0.005968248,0.04125618,0.0001885268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775734,0.0007084678,0.003666767,0.0007701233,0.00002111632,0.0001918048,0.0007467158,0.0002627914,0.01605886],"genre_scores_gemma":[0.9881628,0.0005476132,0.00571046,0.000043582,0.000005989455,0.00002307066,0.000327337,0.00002187835,0.005157345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04283363,"threshold_uncertainty_score":0.1993483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005910982313127601,"score_gpt":0.2530996601293404,"score_spread":0.2471886778162128,"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."}}