{"id":"W2386380880","doi":"","title":"Comparative Study of Ecological Effects and Management Countermeasures on Urban Green Space between Shanghai and London","year":2000,"lang":"en","type":"article","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Urban green space; Space (punctuation); Geography; Environmental planning; Civil engineering; Environmental resource management; Ecology; Engineering; Computer science; Environmental science","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":[0.0001246548,0.00009840499,0.000214614,0.00004001645,0.00007697909,0.00002677672,0.00004718268,0.00003022973,0.0001727827],"category_scores_gemma":[0.000001806154,0.00006055822,0.00001217877,0.00005725088,0.00005487776,0.00003741282,0.000005986855,0.00005729173,0.00002020926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001257401,"about_ca_system_score_gemma":0.000001892948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001857218,"about_ca_topic_score_gemma":0.002476869,"domain_scores_codex":[0.9993286,0.0001060893,0.00009690448,0.0001940548,0.0001501296,0.0001242615],"domain_scores_gemma":[0.999639,0.000172416,0.00002444204,0.00008616405,0.000007933415,0.00006999476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001131675,0.00008656383,0.8979043,0.00003599145,0.00006714767,0.00002788773,0.001200495,0.0001168596,0.000001527461,0.000008005656,0.0005297884,0.09990822],"study_design_scores_gemma":[0.0006684038,0.001731112,0.9947973,0.00002012622,0.00003297691,0.000002042682,0.0003441306,0.00157637,0.00002115253,0.00003626558,0.0006882866,0.00008183903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764393,0.0001080436,0.000002097051,0.0000480405,0.00001987856,0.0003078047,0.00000534219,0.00001757254,0.0230519],"genre_scores_gemma":[0.9987679,0.00007273137,0.00006799263,0.00006505246,0.00002726135,1.29717e-7,0.000006707754,0.000001102879,0.0009911136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09982638,"threshold_uncertainty_score":0.2807571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065394115523865,"score_gpt":0.236204942466482,"score_spread":0.2155510013112433,"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."}}