{"id":"W1987401701","doi":"10.1007/s11284-006-0048-2","title":"Land use change in Asia and the ecological consequences","year":2006,"lang":"en","type":"article","venue":"Ecological Research","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":241,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Deforestation (computer science); Geography; Biodiversity; Context (archaeology); Climate change; Megacity; Tropical Asia; Agriculture; Land use, land-use change and forestry; Land use; Tropics; Ecology; Environmental protection; Agroforestry; Natural resource economics; Environmental science; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001864054,0.00006488273,0.0001040933,0.0000442224,0.0003413728,0.00009556858,0.0002327825,0.00007934056,0.002419372],"category_scores_gemma":[0.0003796481,0.00003431118,0.00002362208,0.0002943855,0.002064183,0.00008111038,0.0006862648,0.0002282168,0.0002325765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040768,"about_ca_system_score_gemma":0.000005508177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007156105,"about_ca_topic_score_gemma":0.01138893,"domain_scores_codex":[0.9984499,0.0005011678,0.0001154194,0.0002527951,0.0003460502,0.0003346658],"domain_scores_gemma":[0.9988197,0.0009896483,0.00001992453,0.0001094295,0.00001056921,0.00005070046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004721428,0.000109795,0.9970293,0.000001795161,0.000001545697,0.00005432068,0.00009591323,0.00002212953,0.00001892976,0.0006984749,0.001135981,0.0007845705],"study_design_scores_gemma":[0.0005262989,0.00007975695,0.9749258,0.000001816954,0.000001759575,0.000001910199,0.0001274889,0.0004193288,0.000003894321,0.00299629,0.02086395,0.00005171503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735386,0.0000464398,8.206728e-7,0.01191591,0.0000196865,0.0004956935,0.000002097774,0.00001372198,0.01396707],"genre_scores_gemma":[0.9977471,0.0001174704,0.00005510835,0.0004243607,0.00003065221,0.00006091275,0.000002394533,0.000001474268,0.001560505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02420856,"threshold_uncertainty_score":0.9994553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1433556225908231,"score_gpt":0.3209597307944616,"score_spread":0.1776041082036385,"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."}}