{"id":"W7097870996","doi":"","title":"Past, Present, and Potential Utilization of Pinyon-Juniper Species","year":2015,"lang":"en","type":"article","venue":"","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Wildlife; Range (aeronautics); Resource (disambiguation); Quarter (Canadian coin); West virginia","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":[0.000208581,0.0001102366,0.00005090929,0.0004698831,0.0003194176,0.0003502217,0.0001727525,0.0001074599,0.002974639],"category_scores_gemma":[0.000487745,0.00007577364,0.0000890636,0.0003206805,0.00009238077,0.0003807147,0.0002348098,0.000180557,0.0003150279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883136,"about_ca_system_score_gemma":0.0001027922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007719472,"about_ca_topic_score_gemma":0.05024336,"domain_scores_codex":[0.9999267,0.00001355916,0.000006048384,0.00001848466,0.00001908104,0.00001613933],"domain_scores_gemma":[0.9995958,0.00004290438,0.0001874709,0.00001317894,0.00006386963,0.0000968312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007003728,0.00004481292,0.9878426,0.00002559981,0.00003104449,0.0001135807,0.0004356022,0.0001101137,0.0003939956,0.0001083948,0.0006581148,0.01016616],"study_design_scores_gemma":[0.000001339929,0.00003712012,0.9977214,0.00001068175,0.000008761782,0.0001796837,0.0008612541,0.0001236011,0.00005006543,0.0000258482,0.0009781063,0.000002150716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966365,0.0003870793,0.00003045537,0.00003913058,0.000003994682,0.000002522265,0.0004581269,0.000002091929,0.002440094],"genre_scores_gemma":[0.9975833,0.0003805449,0.00009159681,0.00001380786,0.00000558095,0.000003180945,0.0005401149,0.000001203359,0.00138068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007719472,"threshold_uncertainty_score":0.01534903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03596073447683532,"score_gpt":0.2327629140876867,"score_spread":0.1968021796108513,"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."}}