{"id":"W2047848852","doi":"10.1016/j.jenvman.2011.02.007","title":"An analytical platform for cumulative impact assessment based on multiple futures: The impact of petroleum drilling and forest harvesting on moose (Alces alces) and marten (Martes americana) habitats in northeastern British Columbia","year":2011,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Marten; Habitat; Geography; Forestry; Petroleum; Environmental science; Logging; Ecology; Geology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005937355,0.0002669887,0.0004281473,0.00008021598,0.0003551409,0.0002128622,0.0002631001,0.00006128835,0.0002193602],"category_scores_gemma":[0.00002002302,0.0002279506,0.0002196802,0.00009980254,0.0004321884,0.0005772907,0.0001450816,0.0002381108,0.000001655811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006648737,"about_ca_system_score_gemma":0.00001043033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00827071,"about_ca_topic_score_gemma":0.006491666,"domain_scores_codex":[0.9979639,0.0001119756,0.0005813125,0.0003376503,0.0005922302,0.0004129261],"domain_scores_gemma":[0.9987171,0.0002566421,0.0005414861,0.0002149696,0.000003470506,0.0002663289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002546648,0.001052569,0.9549372,0.000014201,0.0001548541,0.00004052475,0.0004755733,0.02467633,0.0002510761,0.00000282751,0.00005086003,0.01808932],"study_design_scores_gemma":[0.001830031,0.00373691,0.9261668,0.0001031367,0.00008737434,0.00001210851,0.002579399,0.06500182,0.0000117937,0.000241583,0.00001458416,0.0002144747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981524,0.00002760574,0.0002648981,0.00002873183,0.00004126237,0.0005914345,0.00007513794,0.000004719832,0.000813828],"genre_scores_gemma":[0.9980137,0.00008350714,0.001622033,0.0001002689,0.00003623711,0.00002134568,0.00001240223,0.00003111029,0.00007941875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04032549,"threshold_uncertainty_score":0.9983333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202131284837384,"score_gpt":0.2899772094471597,"score_spread":0.2697640809634213,"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."}}