{"id":"W7097182403","doi":"","title":"Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Shanghai Taipei Toronto","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Arborization and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kuala lumpur; Mexico city; New delhi; City centre; Megacity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000189138,0.001000279,0.0005210042,0.001172099,0.003808769,0.00223555,0.0005094332,0.0003286125,0.07393505],"category_scores_gemma":[0.0006525015,0.0004672837,0.0002955018,0.003177622,0.0005039374,0.0007700976,0.001422822,0.0009142591,0.01488172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005875652,"about_ca_system_score_gemma":0.008744272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3320373,"about_ca_topic_score_gemma":0.7334795,"domain_scores_codex":[0.9996245,0.00004037888,0.00002214157,0.00004247187,0.0001003746,0.0001701583],"domain_scores_gemma":[0.9996494,0.00002199298,0.00007518323,0.00002161947,0.0001173701,0.0001144516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001751831,0.0002694945,0.1038142,0.001589837,0.0003244207,0.008780272,0.004273517,0.003146163,0.006816376,0.02318347,0.5210837,0.3249667],"study_design_scores_gemma":[0.00015418,0.000154144,0.3832306,0.0003803571,0.0001147058,0.001345067,0.0100034,0.0007863801,0.001537956,0.0005229159,0.6016945,0.00007574048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2066404,0.008932493,0.001605453,0.006637378,0.001114991,0.0005624191,0.02380426,0.0004899274,0.7502127],"genre_scores_gemma":[0.2671952,0.007611588,0.002224785,0.0003880428,0.0001473749,0.0003711736,0.005815403,0.0001693872,0.7160771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.926065,"threshold_uncertainty_score":0.6602093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02705435281794267,"score_gpt":0.2300192043805435,"score_spread":0.2029648515626009,"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."}}