{"id":"W2356260451","doi":"","title":"STUDY ON GOALS OF URBAN HOUSING CONSTRUCTION PLAN","year":2011,"lang":"en","type":"article","venue":"Chengshi guihua","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Environmental planning; Urban planning; Public housing; China; Business; Economic growth; Political science; Engineering; Civil engineering; Geography; 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":[0.004174687,0.0001996021,0.0001970082,0.002674138,0.002135986,0.002752763,0.0008856399,0.0005410572,0.002958599],"category_scores_gemma":[0.009932226,0.0002660212,0.0002519293,0.003789147,0.001448353,0.002526083,0.001940015,0.001019031,0.0002560321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006789134,"about_ca_system_score_gemma":0.007179237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04388995,"about_ca_topic_score_gemma":0.08181959,"domain_scores_codex":[0.9965486,0.001055006,0.0001716831,0.0001972133,0.00136943,0.0006581844],"domain_scores_gemma":[0.9950005,0.001073859,0.0007688136,0.0002155225,0.002229096,0.0007121469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000743858,0.0001964339,0.5539252,0.0001758861,0.00003406708,0.00143563,0.02812732,0.005160176,0.0006238424,0.3346503,0.009338528,0.06625829],"study_design_scores_gemma":[0.00002193874,0.0002056214,0.6311587,0.0003489299,0.00004609792,0.0008053449,0.1684107,0.01657826,0.001389946,0.05010135,0.130857,0.00007607289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442103,0.0004070983,0.004335606,0.00244632,0.00003089564,0.0002540399,0.0004637294,0.00002266542,0.1478293],"genre_scores_gemma":[0.9944031,0.0002099567,0.001337254,0.0000846867,0.00000456798,0.00007067018,0.0002420737,0.000009053032,0.003638502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04388995,"threshold_uncertainty_score":0.08726895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06451518523284164,"score_gpt":0.2322519369774219,"score_spread":0.1677367517445803,"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."}}