{"id":"W2256909571","doi":"","title":"Balancing Communities, Economies, and the Environment in the Greater Yellowstone Ecosystem","year":2014,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Socioeconomics of Resources and Conservation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; National park; Natural resource; Environmental resource management; Ecosystem; Population; Ecosystem services; Resource (disambiguation); Natural resource management; Ecosystem management; Business; Geography; Natural resource economics; Environmental planning; Ecology; Economics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402726,0.0001165747,0.0001134298,0.0005199037,0.003576956,0.002134698,0.0002526423,0.0003703649,0.001450305],"category_scores_gemma":[0.001295405,0.0001333989,0.00005300972,0.0004454228,0.004744306,0.002054308,0.003930978,0.0005806894,0.00002998528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002829878,"about_ca_system_score_gemma":0.002897136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05676461,"about_ca_topic_score_gemma":0.1738649,"domain_scores_codex":[0.9993647,0.0003648672,0.00001606391,0.00005097211,0.0000701912,0.0001332473],"domain_scores_gemma":[0.9994022,0.0002185936,0.0001394087,0.00002172872,0.0000368425,0.0001812792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009243318,0.0001224669,0.3409476,0.00009341515,0.00002688187,0.001495843,0.5956859,0.0007559621,0.003673738,0.02117749,0.001026427,0.03490181],"study_design_scores_gemma":[0.000008248872,0.00007184424,0.2495469,0.0000793472,0.000008115465,0.0002223777,0.7258999,0.0006338802,0.0003032997,0.007469618,0.01573729,0.00001914873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969363,0.00009275423,0.0000827078,0.0005349766,0.00000116223,0.000004135193,0.000003514249,6.188576e-7,0.002343671],"genre_scores_gemma":[0.9994507,0.00008900664,0.00009134463,0.00003920853,8.199214e-7,0.000002412484,0.00000192144,3.106543e-7,0.0003241591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05676461,"threshold_uncertainty_score":0.1128684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031651586694172,"score_gpt":0.1771247365533631,"score_spread":0.1568082206864213,"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."}}