{"id":"W4387935558","doi":"10.1659/mrd.2023.00008","title":"Advancing Evidence-Based Decision-Making in Large Landscape Conservation Through the Social Sciences: A Research Agenda for the Yellowstone to Yukon Region","year":2023,"lang":"en","type":"article","venue":"Mountain Research and Development","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada; University of Northern British Columbia","funders":"Mitacs","keywords":"Globe; Curiosity; Biodiversity conservation; Conservation biology; Political science; Environmental planning; Environmental resource management; Geography; Biodiversity; Sociology; Ecology; Psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2328666,0.0009681783,0.002724896,0.006527371,0.01156238,0.0250733,0.004495682,0.01426696,0.004040274],"category_scores_gemma":[0.2015056,0.0008793008,0.002761735,0.007346644,0.0202143,0.02600564,0.02424325,0.01434751,0.0002958115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03504838,"about_ca_system_score_gemma":0.2482904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06809583,"about_ca_topic_score_gemma":0.1594598,"domain_scores_codex":[0.8784299,0.1010076,0.006728363,0.002730982,0.005902008,0.005201036],"domain_scores_gemma":[0.5783835,0.3286745,0.01283881,0.0110067,0.045,0.02409656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008148057,0.001093135,0.05420519,0.03264622,0.002102605,0.00157495,0.07778136,0.007559109,0.001854385,0.3498728,0.06635676,0.4041388],"study_design_scores_gemma":[0.0005102308,0.0007017102,0.03188172,0.07415938,0.0009132088,0.000262376,0.2006022,0.005529552,0.0008983176,0.5106077,0.1735829,0.0003507479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02064557,0.05002146,0.007196821,0.9144621,0.001711296,0.0005676166,0.0001398335,0.00004393037,0.005211382],"genre_scores_gemma":[0.6607626,0.107187,0.1179441,0.1063802,0.001620007,0.003730441,0.0004635433,0.00006396535,0.001848033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9319042,"threshold_uncertainty_score":0.946012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2212253288864087,"score_gpt":0.4474715884261022,"score_spread":0.2262462595396936,"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."}}