{"id":"W2905429864","doi":"10.5751/es-10660-230445","title":"Factors influencing ranchers&amp;#8217; intentions to manage for vegetation heterogeneity and promote cross-boundary management in the northern Great Plains","year":2018,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Boundary (topology); Geography; Ecology; Environmental resource management; Environmental science; Biology; Mathematics","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":[0.001358012,0.0001264502,0.0001070173,0.0002900765,0.0005365047,0.0006121884,0.0002449532,0.0004339025,0.006450281],"category_scores_gemma":[0.003224862,0.0001501937,0.0001438061,0.0002023169,0.0006711694,0.0003713653,0.0003385548,0.0004919685,0.0007196838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005815013,"about_ca_system_score_gemma":0.0006498861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02598329,"about_ca_topic_score_gemma":0.1422371,"domain_scores_codex":[0.999674,0.0001161992,0.00002123356,0.00005930988,0.00005010747,0.00007928407],"domain_scores_gemma":[0.9971294,0.0008986303,0.0008847367,0.000107859,0.0002479308,0.0007314314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005157979,0.0001490457,0.9866157,0.00002063594,0.00002271162,0.0001743026,0.003472546,0.0001437706,0.0007925489,0.0001436662,0.000765788,0.007647713],"study_design_scores_gemma":[0.000003186889,0.00008089426,0.9933507,0.00002085801,0.000007493002,0.00005442167,0.00508578,0.000294855,0.00006555241,0.00004625186,0.0009835911,0.000006404577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997743,0.00003959764,0.0000520807,0.0002030331,0.000003750715,0.000008348351,0.00002416936,0.000002504627,0.001923481],"genre_scores_gemma":[0.997067,0.00009798785,0.0002612623,0.0001381863,0.000006270549,0.00002017534,0.00007471596,0.000003266884,0.002331132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02598329,"threshold_uncertainty_score":0.05166411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132721962825504,"score_gpt":0.2841550139443599,"score_spread":0.2628277943161049,"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."}}