{"id":"W2901601054","doi":"10.3390/land7040137","title":"Context and Opportunities for Expanding Protected Areas in Canada","year":2018,"lang":"en","type":"article","venue":"Land","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Natural Resources Canada; McGill University; Canadian Forest Service","funders":"Canadian Forest Service; Natural Resources Canada; Canadian Space Agency; U.S. Forest Service","keywords":"De facto; Protected area; Context (archaeology); Stakeholder; Environmental resource management; Geography; Environmental planning; Work (physics); Indigenous; Identification (biology); Convention on Biological Diversity; Business; Environmental protection; Political science; Biodiversity; Ecology; Public relations; Engineering","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":[0.002194198,0.000245256,0.0002920871,0.001324508,0.01859589,0.008094097,0.001969199,0.001812794,0.01369057],"category_scores_gemma":[0.004865519,0.0002714981,0.0003771544,0.002377391,0.00537322,0.002021269,0.005023807,0.004533884,0.0003964682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1213822,"about_ca_system_score_gemma":0.308978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928762,"about_ca_topic_score_gemma":0.9979966,"domain_scores_codex":[0.9957659,0.0004421872,0.00008814309,0.000333733,0.0009163801,0.002453548],"domain_scores_gemma":[0.992375,0.0007533841,0.0002423211,0.0001398643,0.002079879,0.004409665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001099643,0.0001695856,0.05464124,0.0008712106,0.0000750062,0.004235358,0.03414415,0.00312758,0.00210891,0.5167378,0.2425295,0.1412497],"study_design_scores_gemma":[0.00002353917,0.00004026838,0.05539222,0.0009095024,0.00003403044,0.0004306027,0.03955517,0.0007990835,0.0002917154,0.01999124,0.8824335,0.00009912971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1797162,0.01044232,0.003775675,0.218095,0.001093193,0.0003263726,0.002128146,0.0001463473,0.5842769],"genre_scores_gemma":[0.9099005,0.006955406,0.004104145,0.0303049,0.0001297679,0.0001022182,0.0006070873,0.00005756643,0.04783843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1213822,"threshold_uncertainty_score":0.8806933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721415099751806,"score_gpt":0.207308202323419,"score_spread":0.170094051325901,"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."}}