{"id":"W2369787819","doi":"","title":"Dynamic evolution and optimization of green open space in Luoyang","year":2012,"lang":"en","type":"article","venue":"Geographical Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Species evenness; Riparian zone; Geography; Riparian forest; Ecology; Habitat; Species diversity","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":[0.001663897,0.0000472867,0.00009757096,0.0002998182,0.00008685583,0.00003982167,0.0001413516,0.00007026803,0.000152244],"category_scores_gemma":[0.0001711037,0.00003647048,0.00001615746,0.0007696085,0.0001524915,0.0002022036,0.00004289502,0.0002042403,0.000008082191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000360643,"about_ca_system_score_gemma":0.00002822892,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03966863,"about_ca_topic_score_gemma":0.01224934,"domain_scores_codex":[0.998884,0.0002416666,0.0001111253,0.000131663,0.0002904469,0.0003411101],"domain_scores_gemma":[0.9994236,0.0002571864,0.0000190524,0.0001167971,0.00005121383,0.0001320981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005664746,0.00002166361,0.9733892,0.00001693021,0.000003616931,0.000001333092,0.0001221028,0.003426345,0.00001687665,0.0001764143,0.00002062981,0.02274823],"study_design_scores_gemma":[0.0001712551,0.00006272139,0.8590913,0.00002509781,0.000001537615,0.000003226394,0.000110213,0.1396087,0.000003343962,0.0007406767,0.0001386808,0.00004317659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941964,0.0009782233,0.0003342944,0.0004949581,0.00003850136,0.0001701868,0.000006506557,0.000006415349,0.003774554],"genre_scores_gemma":[0.9971477,0.0003483876,0.002344791,0.000008195281,0.00001679096,1.917276e-7,0.00002195101,0.000001760845,0.00011028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1361824,"threshold_uncertainty_score":0.9667263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04060526667545283,"score_gpt":0.3237071450545919,"score_spread":0.2831018783791391,"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."}}