{"id":"W2912127632","doi":"10.1016/j.landusepol.2019.01.015","title":"Application of land-use simulation to protected area selection for efficient avoidance of biodiversity loss in Canada’s western boreal region","year":2019,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Wildlife Federation","funders":"Canadian Wildlife Federation","keywords":"Environmental resource management; Biodiversity; Resource (disambiguation); Wildlife; Environmental science; Natural resource; Land use; Watershed; Boreal; Protected area; Cumulative effects; Environmental protection; Geography; Ecology","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":[0.00122941,0.0007066324,0.0006346802,0.0008822663,0.001311697,0.001254217,0.00155952,0.0007964559,0.001585822],"category_scores_gemma":[0.002965176,0.0004121423,0.0007471357,0.0009930917,0.001010216,0.0003991094,0.0007466246,0.0006455372,0.00006487907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01503213,"about_ca_system_score_gemma":0.01401781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9225755,"about_ca_topic_score_gemma":0.9026532,"domain_scores_codex":[0.9995269,0.0001725356,0.00001331085,0.00005626199,0.00006788362,0.0001630979],"domain_scores_gemma":[0.9984322,0.0007114757,0.0001413048,0.00008315777,0.0003562683,0.0002755865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008873718,0.00006096851,0.01673103,0.00001554527,0.00004971347,0.00005371957,0.00006178187,0.9794643,0.000213747,0.00103197,0.0003383301,0.00189008],"study_design_scores_gemma":[0.00005851767,0.00005122576,0.008078328,0.000008402378,0.00002597164,0.0000109271,0.0001688022,0.990464,0.0001673889,0.0004481215,0.0005020992,0.00001614743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886538,0.0001040749,0.003808184,0.0003313617,0.00001350422,0.00009164381,0.0007065997,0.0001109983,0.006179819],"genre_scores_gemma":[0.9958131,0.00004231147,0.003290592,0.00002889216,0.000002184701,0.00002836489,0.0002516852,0.00001098633,0.0005319883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07742453,"threshold_uncertainty_score":0.1557609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480606871265738,"score_gpt":0.2309792734306623,"score_spread":0.2161732047180049,"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."}}