{"id":"W2035115104","doi":"10.1068/a34203","title":"Retail Structure of Beijing","year":2002,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Beijing; China; Business; Ring road; Competition (biology); Government (linguistics); Census; Economy; Economic geography; Market economy; Geography; Economics; Population","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":[0.0001055828,0.0001372839,0.0002051989,0.001742071,0.000926591,0.001539352,0.0003831674,0.0002412231,0.01339407],"category_scores_gemma":[0.0003923757,0.000156152,0.0001291119,0.003850488,0.0007355521,0.0005640295,0.0009594118,0.0001540539,0.0008376864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002934723,"about_ca_system_score_gemma":0.00107606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04328706,"about_ca_topic_score_gemma":0.08895018,"domain_scores_codex":[0.9997889,0.0000215698,0.00001712324,0.00005591398,0.00004767103,0.00006876568],"domain_scores_gemma":[0.9997584,0.000017063,0.00007050713,0.0000248756,0.000063871,0.0000651702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002559401,0.0001149835,0.8378133,0.0002262007,0.00008618983,0.002057256,0.008762025,0.002153668,0.004659181,0.03195598,0.00853605,0.1033792],"study_design_scores_gemma":[0.000008806636,0.00004598594,0.9755263,0.00001415302,0.00001372019,0.0002395236,0.002708707,0.0009838375,0.0002765613,0.001156796,0.01901218,0.00001345377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612766,0.0002903808,0.0003448203,0.0002299234,0.000006464284,0.00002950981,0.0008742973,0.00004812158,0.03689989],"genre_scores_gemma":[0.9908419,0.0001362838,0.0002047985,0.00001984757,0.000003485206,0.00001037543,0.0006588791,0.000006828669,0.008117613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04328706,"threshold_uncertainty_score":0.08607024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316944863277045,"score_gpt":0.204962580139006,"score_spread":0.1917931315062356,"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."}}