{"id":"W2363080379","doi":"","title":"The change of land use/cover in Shulehe River","year":2012,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Land use; Grassland; Land cover; Land use, land-use change and forestry; Land development; Physical geography; Environmental science; Geography; Environmental change; Hydrology (agriculture); Cultivated land; Global change; Climate change; Ecology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001322802,0.00008237257,0.000131108,0.0007858969,0.0002614086,0.0003654459,0.0000992795,0.0002099561,0.0003406438],"category_scores_gemma":[0.0002229686,0.0001215905,0.0001955456,0.001243051,0.0002837056,0.0003179007,0.0002285527,0.0001058636,0.00004815754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004879188,"about_ca_system_score_gemma":0.0002828618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01759619,"about_ca_topic_score_gemma":0.04304569,"domain_scores_codex":[0.9999088,0.00001127545,0.00001061546,0.00002555898,0.00001903914,0.00002463472],"domain_scores_gemma":[0.9998833,0.00002337941,0.00003650923,0.00000877279,0.00002853572,0.00001952026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003111643,0.00002796994,0.9830541,0.00002603835,0.0000351281,0.0003794899,0.001087808,0.001075202,0.005243742,0.0001815093,0.0001546158,0.008703431],"study_design_scores_gemma":[7.345377e-7,0.00001212953,0.997631,0.000002381362,0.000006738983,0.0000553608,0.0004850803,0.001180521,0.0002942037,0.00003121327,0.0002968238,0.000003811577],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995629,0.00001897062,0.0000594062,0.000007269481,3.724088e-7,0.000001667304,0.00007290041,0.000002158409,0.0002744016],"genre_scores_gemma":[0.9995369,0.00002542595,0.00007819794,0.000004398393,6.221796e-7,0.000002673147,0.000154203,6.870147e-7,0.0001969138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01759619,"threshold_uncertainty_score":0.03498751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376657763960831,"score_gpt":0.2290731183070522,"score_spread":0.1953065406674439,"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."}}