{"id":"W4308915916","doi":"10.1111/csp2.12833","title":"Science‐informed policy decisions lead to the creation of a protected area for a wide‐ranging species at risk","year":2022,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Natural Resources Canada; Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Environment and Climate Change Canada; Ministère des Ressources naturelles et des Forêts; Canadian Forest Service","funders":"Ministère de l'Énergie et des Ressources Naturelles; Ministère des Forêts, de la Faune et des Parcs; Université du Québec à Montréal; Université du Québec à Rimouski; Université Laval","keywords":"Woodland caribou; Threatened species; Habitat; Boreal; Wilderness area; Geography; Biodiversity; Environmental resource management; Environmental planning; Wilderness; Citizen science; Protected area; Ecology; Environmental science; Biology","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":[0.02631032,0.0007956298,0.0005726563,0.002732316,0.005827894,0.01224991,0.00266699,0.007658815,0.00907628],"category_scores_gemma":[0.02435837,0.0005351313,0.001027068,0.00139547,0.009328802,0.004859916,0.006752965,0.006783761,0.0009923876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02604737,"about_ca_system_score_gemma":0.06451624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.116671,"about_ca_topic_score_gemma":0.2035853,"domain_scores_codex":[0.9840146,0.00744069,0.0006348843,0.0009877842,0.003893621,0.003028509],"domain_scores_gemma":[0.9817686,0.008078916,0.001678775,0.001163971,0.004507377,0.002802315],"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":[0.000207734,0.0005392439,0.02246809,0.0005015857,0.000254084,0.001955075,0.004848014,0.08625158,0.004994866,0.7155911,0.07525273,0.08713589],"study_design_scores_gemma":[0.0001548104,0.0001970024,0.007958381,0.001035755,0.0001243296,0.0001200267,0.008570528,0.05586954,0.002727792,0.6795554,0.2434778,0.0002087363],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.122847,0.002159733,0.1549366,0.367418,0.001431897,0.00211741,0.001048349,0.0004194272,0.3476217],"genre_scores_gemma":[0.9034334,0.001115735,0.06995364,0.01614949,0.0002484002,0.000475089,0.0002295463,0.00005667706,0.008337956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.116671,"threshold_uncertainty_score":0.2319838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586374742209487,"score_gpt":0.3253822765724946,"score_spread":0.2695185291503998,"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."}}