{"id":"W2274343820","doi":"10.6000/1927-5129.2016.12.05","title":"Urban Development and Industrial Clustering in Pakistan: A Study Based on Geographical Perspective","year":2016,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economies of agglomeration; Economic geography; Population; Product (mathematics); Business; Geography; Space (punctuation); Economic growth; Economy; Regional science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002955742,0.0001457543,0.0001796742,0.001522601,0.001208138,0.0009755284,0.0002176241,0.0001913342,0.002793924],"category_scores_gemma":[0.0008883389,0.000190557,0.0002984028,0.003781141,0.0006772642,0.0005398868,0.0008458759,0.0003675419,0.0002369907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099582,"about_ca_system_score_gemma":0.001218316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0519662,"about_ca_topic_score_gemma":0.06491817,"domain_scores_codex":[0.999696,0.00008136884,0.0000168653,0.00004304857,0.00005972526,0.0001030117],"domain_scores_gemma":[0.9992173,0.0002177268,0.0002805855,0.00003505499,0.0001055896,0.0001438091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003115859,0.00006820171,0.9881504,0.00002188859,0.00002238967,0.0004853195,0.004113691,0.0004046469,0.00008649092,0.0008307163,0.0003359015,0.005449122],"study_design_scores_gemma":[0.000002315689,0.0000756311,0.9788738,0.0000165909,0.00001580281,0.0002776313,0.01862655,0.0005805375,0.00004469723,0.0001498895,0.001328695,0.000007949134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980775,0.00007292694,0.00007184974,0.00006144567,0.000001953131,0.00001165757,0.0001402099,0.000001151262,0.001561413],"genre_scores_gemma":[0.9995479,0.0001301,0.00005114869,0.000005398203,0.000002433161,0.000004260446,0.00008736171,6.429434e-7,0.0001708783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0519662,"threshold_uncertainty_score":0.1033275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875736166709795,"score_gpt":0.2566255335304976,"score_spread":0.2078681718633997,"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."}}