{"id":"W6989798905","doi":"","title":"Chongqing 2035 : Spatial Transformation Strategy","year":2019,"lang":"en","type":"report","venue":"The World Bank Open Knowledge Repository (World Bank)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Yangtze river; Population; Upstream (networking); Spatial analysis; Administrative division; 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":[],"consensus_categories":[],"category_scores_codex":[0.001457398,0.0007252648,0.000228278,0.001236461,0.001533834,0.002642143,0.001499858,0.0008110138,0.03694885],"category_scores_gemma":[0.001977056,0.0003014277,0.0007040224,0.003351291,0.0004665088,0.001629528,0.003413489,0.0008679905,0.004642555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01291713,"about_ca_system_score_gemma":0.03435677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2546022,"about_ca_topic_score_gemma":0.2291924,"domain_scores_codex":[0.9992028,0.0001235838,0.00004551505,0.00008032096,0.0002604008,0.0002874698],"domain_scores_gemma":[0.9990587,0.00002532699,0.00003945371,0.00009223088,0.000518251,0.0002660741],"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":[0.0001324822,0.0001553188,0.02202791,0.0006758604,0.0001120896,0.0005729969,0.00149665,0.01064966,0.002358125,0.124397,0.5255484,0.3118736],"study_design_scores_gemma":[0.00003669374,0.00006676778,0.0263439,0.00008963115,0.00003179894,0.00009285937,0.001743607,0.006719533,0.0006385879,0.005990802,0.958215,0.00003091216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.129826,0.002314448,0.03204756,0.03607951,0.001224771,0.003009459,0.04330151,0.004009827,0.7481869],"genre_scores_gemma":[0.629725,0.002361116,0.02591473,0.004144905,0.000116735,0.001855417,0.03428913,0.0005004116,0.3010925],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2546022,"threshold_uncertainty_score":0.5062404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05660577921630593,"score_gpt":0.3427012241820149,"score_spread":0.286095444965709,"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."}}