{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304906,0.0001297431,0.0001306874,0.001215449,0.0003302667,0.0006053621,0.0001506158,0.00008802926,0.0007309082],"category_scores_gemma":[0.0008971043,0.00007416254,0.0001123383,0.00159606,0.0005005899,0.0002421714,0.0004604898,0.00008731887,0.00009025078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002271663,"about_ca_system_score_gemma":0.0008910011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1116556,"about_ca_topic_score_gemma":0.3346042,"domain_scores_codex":[0.9995647,0.0001504165,0.00002793408,0.00003400496,0.0001085833,0.0001143855],"domain_scores_gemma":[0.999024,0.0001836817,0.0003772718,0.0000504971,0.0002386052,0.0001258033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008264595,0.00003389408,0.9306818,0.0002671774,0.0001546457,0.001514261,0.01343971,0.002181084,0.006745176,0.002235014,0.0007805525,0.04114021],"study_design_scores_gemma":[0.00000487352,0.00009210814,0.9918548,0.00001128405,0.00003543781,0.00008383463,0.003844879,0.0001901727,0.0007408615,0.00001926405,0.003116323,0.000006197861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978064,0.0002455831,0.00006674886,0.00003765492,0.000001743966,0.000002751324,0.00007233962,0.000004621295,0.001762262],"genre_scores_gemma":[0.999404,0.0001046816,0.00003794575,0.000004817025,0.000001644076,0.000001531188,0.00005523086,0.000001208856,0.0003889328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1116556,"threshold_uncertainty_score":0.2220114,"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."}}