{"id":"W1947498638","doi":"","title":"Grazing in arid North America: A biogeographical approach","year":2006,"lang":"fr","type":"article","venue":"Science et changements planétaires / Sécheresse","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rangeland; Livestock; Geography; Grazing; Agroforestry; Arid; Subsistence agriculture; Arable land; Pastoralism; Ecology; Forestry; Environmental science; Biology; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001284776,0.0005165007,0.0004161423,0.000606126,0.0005155203,0.0004434272,0.001381772,0.0001374372,0.0007081395],"category_scores_gemma":[0.00005435082,0.0004874016,0.0001289463,0.004284607,0.00268908,0.001269475,0.001043226,0.0004749904,0.0007360919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003981283,"about_ca_system_score_gemma":0.00006548183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01711039,"about_ca_topic_score_gemma":0.01271275,"domain_scores_codex":[0.9944492,0.0002032038,0.0005885594,0.001429346,0.001598258,0.001731439],"domain_scores_gemma":[0.9986962,0.00006331322,0.0002459603,0.0006434691,0.00002533887,0.0003257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005108127,0.00198932,0.9183084,0.0001474888,0.00002911604,0.0002844949,0.001160317,0.008000883,0.0008377941,0.001805456,0.02606943,0.04131623],"study_design_scores_gemma":[0.001032509,0.0001568752,0.8540058,0.0001729909,0.00004012262,0.00001410569,0.0009372132,0.007971336,0.0001043769,0.0009234036,0.1338761,0.0007651629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433188,0.002200472,0.0007926167,0.009285751,0.001315376,0.001089523,0.000200015,0.0001096736,0.04168775],"genre_scores_gemma":[0.9915918,0.0008843251,0.002467799,0.001509019,0.0002952331,0.0001440619,0.0001419175,0.00003850309,0.002927328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1078067,"threshold_uncertainty_score":0.9997578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518913067780717,"score_gpt":0.2413386004716098,"score_spread":0.2261494697938027,"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."}}