{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307143,0.0002069633,0.0002567133,0.0003761573,0.0002971587,0.0005763035,0.0004119883,0.000327753,0.001500401],"category_scores_gemma":[0.0004491727,0.0001845607,0.0002959639,0.0003194672,0.0003403085,0.0006060148,0.0005208667,0.0001708974,0.00008980984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007495421,"about_ca_system_score_gemma":0.0003456238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296962,"about_ca_topic_score_gemma":0.01262573,"domain_scores_codex":[0.9999452,0.000009094497,0.000002211479,0.00001247905,0.000008673983,0.0000223103],"domain_scores_gemma":[0.9998873,0.00003518561,0.00002508279,0.0000067465,0.00001950322,0.00002610287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001208204,0.0001004961,0.02586935,0.00003043212,0.00004205332,0.0004403325,0.0001854473,0.9429013,0.01091946,0.003331325,0.0006040909,0.01545491],"study_design_scores_gemma":[0.000008775228,0.00007979858,0.01097736,0.000002131027,0.000009699767,0.0000328862,0.0001689191,0.9865603,0.0006081921,0.0009771176,0.000566351,0.000008397197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923933,0.00002335333,0.005455115,0.00003432462,0.000002412572,0.000005951264,0.00004069442,0.0000205429,0.002024439],"genre_scores_gemma":[0.9976537,0.00001823837,0.001435775,0.000004800643,0.000001003942,0.000008731443,0.00005138449,0.000006765603,0.0008197068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296962,"threshold_uncertainty_score":0.02578825,"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."}}