{"id":"W2153860230","doi":"10.1016/j.rama.2014.12.005","title":"Mapping and Monitoring Cheatgrass Dieoff in Rangelands of the Northern Great Basin, USA","year":2014,"lang":"en","type":"article","venue":"Rangeland Ecology & Management","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Commission for Environmental Cooperation","keywords":"Bromus tectorum; Rangeland; Environmental science; Land management; Geographic information system; Geography; Remote sensing; Land use; Ecology; Agroforestry; Invasive species; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006055722,0.0001818627,0.000270641,0.00009041434,0.000146518,0.00001946797,0.0003069648,0.0000710861,0.0001973931],"category_scores_gemma":[0.00001370564,0.0001278721,0.0000668264,0.0002716732,0.0001513678,0.00008173878,0.0005074209,0.0001200597,0.00006624902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009253641,"about_ca_system_score_gemma":0.000001735458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003521922,"about_ca_topic_score_gemma":0.003124518,"domain_scores_codex":[0.9986413,0.000122397,0.0002856941,0.0003591469,0.000218004,0.0003734324],"domain_scores_gemma":[0.9994326,0.00006368642,0.00009983186,0.0003404596,0.000004474237,0.00005892585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001649279,0.00005069008,0.9737902,0.00004925988,0.00003866355,0.000007627582,0.0002945444,0.0004614569,0.00003532251,0.0000351928,0.0004896471,0.02473086],"study_design_scores_gemma":[0.001164229,0.00003644009,0.9763158,0.00004827334,0.00003271291,0.000002530617,0.0001666658,0.0003388532,0.00003035119,0.0002942748,0.02142861,0.0001412383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724133,0.00004811623,0.00009564265,0.0007801309,0.0003131213,0.0004136425,0.000001727256,0.00001591945,0.02591838],"genre_scores_gemma":[0.9974288,0.0001539922,0.0001696542,0.0001830161,0.00006228845,0.0000599385,0.0000016832,0.00001343604,0.001927155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02501551,"threshold_uncertainty_score":0.5214474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006640734195282477,"score_gpt":0.192277031197884,"score_spread":0.1856362970026016,"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."}}