{"id":"W7164946974","doi":"10.1080/17153379.2009.12556486","title":"Kuala Lumpur and Putrajaya: Negotiating Urban Space in Malaysia.","year":2009,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Kuala lumpur; Negotiation; Urban space; Space (punctuation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000727097,0.0001322595,0.000188349,0.0001025347,0.0002359339,0.000140042,0.0001731683,0.0001245565,0.000120821],"category_scores_gemma":[0.0001753651,0.0001512255,0.00002782962,0.0002882293,0.0001744537,0.0002515203,0.00002686689,0.000169272,0.0001076186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065856,"about_ca_system_score_gemma":0.0001327749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646749,"about_ca_topic_score_gemma":0.00008223638,"domain_scores_codex":[0.9987037,0.0001190719,0.0002300383,0.0003115908,0.0001823811,0.0004532576],"domain_scores_gemma":[0.9994664,0.0001391183,0.00009270368,0.0001370263,0.0000273833,0.000137374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001839587,0.0001719801,0.373594,0.00001938172,0.0000348637,0.00005439919,0.3655044,0.000140588,0.0002022336,0.1994584,0.02192691,0.03887456],"study_design_scores_gemma":[0.0005730483,0.00003901973,0.07062284,0.00004491381,0.000008885481,0.000003458488,0.8904318,0.0005160532,0.00003357664,0.004810023,0.03242278,0.0004935575],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1507649,0.0003246244,0.00004553907,0.002898992,0.0004366384,0.0002643466,0.000001853611,0.0001216652,0.8451415],"genre_scores_gemma":[0.9940324,0.0001428196,0.001384377,0.00002675545,0.0001738876,0.000009466601,0.000002972192,0.00001058722,0.004216687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8432676,"threshold_uncertainty_score":0.6166798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053380031288824,"score_gpt":0.2515733593809569,"score_spread":0.2410395590680687,"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."}}