{"id":"W2947239624","doi":"","title":"Principles for the assessment of livestock impacts on biodiversity","year":2015,"lang":"en","type":"preprint","venue":"Prodinra (INRA Bordeaux-Aquitaine)","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta","funders":"","keywords":"Livestock; Biodiversity; Environmental resource management; Geography; Environmental science; Environmental planning; Agroforestry; Ecology; Biology; Forestry","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"],"consensus_categories":[],"category_scores_codex":[0.001953495,0.000770302,0.0007472779,0.00008192895,0.0004893701,0.0001219042,0.001502163,0.0004803927,0.0004910324],"category_scores_gemma":[0.0006263494,0.0004960639,0.0004869651,0.0002716935,0.0008822216,0.0002735337,0.003381259,0.0009205566,0.000112163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209918,"about_ca_system_score_gemma":0.0002391299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062968,"about_ca_topic_score_gemma":0.0002066929,"domain_scores_codex":[0.9958265,0.0002074339,0.0007535151,0.001169229,0.001125471,0.0009178139],"domain_scores_gemma":[0.9968733,0.000381905,0.000784828,0.001460131,0.00008964263,0.0004101557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001169362,0.005029284,0.449341,0.002301747,0.001037229,0.00004202787,0.009403588,0.3931783,0.001800689,0.005312887,0.1198908,0.01149305],"study_design_scores_gemma":[0.001974705,0.002782302,0.8661683,0.0002512526,0.0007090208,0.00001495148,0.003626451,0.006950692,0.001083138,0.008251005,0.1064029,0.001785353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959807,0.0005490795,0.002563841,0.008647217,0.000862456,0.00929715,0.001072335,0.0002039558,0.01699691],"genre_scores_gemma":[0.9929973,0.0001606521,0.004379839,0.0004038665,0.0002047609,0.0003860747,0.000247266,0.00004175197,0.001178427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4168272,"threshold_uncertainty_score":0.9997491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228927656619584,"score_gpt":0.2988025734150808,"score_spread":0.256513296848885,"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."}}