{"id":"W145307318","doi":"","title":"Research Provides Answers to Mitigate Impacts of Energy Development to Wildlife","year":2012,"lang":"en","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife; Environmental planning; Business; Environmental resource management; Natural resource economics; Environmental science; Economics; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008347852,0.0009647603,0.0008332422,0.001747018,0.002810402,0.007189971,0.001622905,0.004813607,0.02649597],"category_scores_gemma":[0.01642995,0.0003666394,0.0008677099,0.001956662,0.006350877,0.009705112,0.004716119,0.003259993,0.006149552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423505,"about_ca_system_score_gemma":0.01378682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003483492,"about_ca_topic_score_gemma":0.009522292,"domain_scores_codex":[0.9953176,0.002014434,0.0002647031,0.0005899406,0.001236753,0.0005766047],"domain_scores_gemma":[0.9855678,0.006277897,0.001431119,0.001480392,0.003980085,0.00126276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006695355,0.000432257,0.01184318,0.004630074,0.0001879367,0.0006578877,0.00497496,0.001058958,0.002047057,0.2637542,0.246159,0.4641875],"study_design_scores_gemma":[0.00002920052,0.000161371,0.003866532,0.00690486,0.0001075745,0.0002994323,0.0237371,0.0002940701,0.001164321,0.1643647,0.7990213,0.00004964094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01363794,0.0642311,0.02348106,0.6019644,0.01053503,0.0002864396,0.0006258524,0.0003729601,0.2848652],"genre_scores_gemma":[0.3971685,0.2813509,0.07071795,0.1398997,0.008668808,0.0006997128,0.0009806796,0.0003294101,0.1001842],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02649597,"threshold_uncertainty_score":0.08863783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797488256195086,"score_gpt":0.2949360125653552,"score_spread":0.2569611300034043,"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."}}