{"id":"W4393041651","doi":"10.1080/10095020.2024.2311862","title":"Ecological health assessment of Tibetan alpine grasslands in Gannan using remote sensed ecological indicators","year":2024,"lang":"en","type":"article","venue":"Geo-spatial Information Science","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ecology; Ecological assessment; Geography; Ecological health; Ecological indicator; Environmental science; Biology; Ecosystem","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":[],"consensus_categories":[],"category_scores_codex":[0.002195125,0.0001276499,0.00024313,0.0006982604,0.0002304202,0.0001994032,0.000230482,0.00008838211,0.0002544952],"category_scores_gemma":[0.0001437167,0.00008803479,0.0000490721,0.001612389,0.0002841316,0.001003777,0.00002951803,0.0002442708,0.00003290669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005513126,"about_ca_system_score_gemma":0.0007601387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006357778,"about_ca_topic_score_gemma":0.002518579,"domain_scores_codex":[0.9980116,0.0001015857,0.000621353,0.0002219512,0.0006107698,0.0004326811],"domain_scores_gemma":[0.9992763,0.0001218301,0.0001964127,0.0001607812,0.00006247639,0.0001821541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002818584,0.00004559736,0.1406277,0.0001089752,0.000009504163,0.00002471023,0.00173175,0.06050784,0.000152605,0.0001926332,0.0001605474,0.7964099],"study_design_scores_gemma":[0.00009835327,0.0001515471,0.478938,0.00003039025,0.000001694694,0.00001390425,0.0000785159,0.5196283,0.00004774304,0.00006722056,0.0008766831,0.00006762573],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826218,0.00003523752,0.01110165,0.0006181014,0.0006107886,0.0002136319,0.00003361485,0.00005280695,0.004712297],"genre_scores_gemma":[0.9958723,0.00005050526,0.003603384,0.0003564481,0.00004111701,9.260757e-8,0.00006617759,0.000001345256,0.000008671604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7963423,"threshold_uncertainty_score":0.9611101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370184339988522,"score_gpt":0.3103474485591825,"score_spread":0.2866456051592973,"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."}}