{"id":"W6892204529","doi":"10.5063/9885dg","title":"A global inventory of animal biodiversity measured in different grazing treatments","year":2021,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Grazing; Rangeland; Biodiversity; Conservation grazing; Biomass (ecology); Geospatial analysis; Food security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003009129,0.0009046293,0.0015084,0.0005304817,0.0001009126,0.00006355531,0.0009227107,0.0006192502,0.0004544186],"category_scores_gemma":[0.0001853341,0.0008789534,0.0004775667,0.001016534,0.0002211513,0.0002043429,0.0007929197,0.0004512208,0.00113155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498206,"about_ca_system_score_gemma":0.000408183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894948,"about_ca_topic_score_gemma":0.005849576,"domain_scores_codex":[0.9954529,0.0006100371,0.0007790185,0.001117809,0.001261999,0.0007781707],"domain_scores_gemma":[0.9976428,0.00005190398,0.0005827011,0.001289782,0.00014323,0.0002895566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005046926,0.0012328,0.1501895,0.0002366985,0.0005564336,0.0006776149,0.00003929565,0.000001351372,0.001048113,0.000001287152,0.8454823,0.00002984426],"study_design_scores_gemma":[0.005629551,0.0005252768,0.779834,0.001067524,0.00184298,0.00005713042,0.0002497237,0.00001821219,0.0005627706,0.00002386419,0.2087714,0.001417584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3242762,0.001413417,1.158603e-7,0.000006613491,0.0003138943,0.0003813753,0.6734917,0.00004499217,0.00007159461],"genre_scores_gemma":[0.04249392,0.0003018253,0.00001629491,0.00004553056,0.00009696967,0.00002646664,0.9569775,0.00003673571,0.000004714321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6367109,"threshold_uncertainty_score":0.9996462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112749087448674,"score_gpt":0.2792381590527754,"score_spread":0.2381106681782887,"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."}}