{"id":"W2355306502","doi":"","title":"A PRELIMINARY DISCUSSION ON PUBLIC PARTICIPATION IN LAND USE PLANING:TAKING JIASHAN COUNTY AS AN EXAMPLE","year":2005,"lang":"en","type":"article","venue":"Economic Geography","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Urbanization; Business; Land use; Government (linguistics); Public participation; Quality (philosophy); China; Land-use planning; Sustainability; Brainstorming; Environmental resource management; Geography; Economic growth; Political science; Marketing; Civil engineering; Public administration; Environmental science; Engineering; Economics","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":[0.01240355,0.0006151954,0.0003663906,0.001126032,0.01923171,0.007775289,0.001672007,0.009560018,0.01252147],"category_scores_gemma":[0.01555204,0.0003993402,0.0007087867,0.002082948,0.004803863,0.007569714,0.004602751,0.007642702,0.0006388315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008038969,"about_ca_system_score_gemma":0.008517929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02700922,"about_ca_topic_score_gemma":0.03403752,"domain_scores_codex":[0.9918607,0.005574097,0.000216882,0.0003306886,0.0005899554,0.001427716],"domain_scores_gemma":[0.9802977,0.01510742,0.0004722058,0.0002923459,0.002155822,0.001674548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002153156,0.0005606608,0.01115899,0.00116299,0.0000187127,0.00468866,0.728508,0.0004849006,0.001746277,0.1400156,0.07837655,0.03306327],"study_design_scores_gemma":[0.00003395203,0.0001407587,0.00741547,0.0004991723,0.00001679969,0.0002984729,0.6522096,0.0002705551,0.0005177998,0.004283283,0.3342706,0.00004347329],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2469526,0.003373774,0.006167993,0.6171969,0.005038671,0.0008310535,0.0003046894,0.00006432487,0.12007],"genre_scores_gemma":[0.8764535,0.006089507,0.004377115,0.06261545,0.001932128,0.001174961,0.000258851,0.00007730042,0.04702124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02700922,"threshold_uncertainty_score":0.065597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031912327467866,"score_gpt":0.2859290796710631,"score_spread":0.2256099563963845,"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."}}