{"id":"W30774060","doi":"10.1192/bjp.2018.251","title":"Sub-regional disparities in Britain: convergence, asymmetries and spatial dependence","year":2006,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Convergence (economics); Interdependence; Divergence (linguistics); Economic geography; Economics; Regional science; Spatial econometrics; Geography; Econometrics; Sociology; Macroeconomics; Social science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001094018,0.00009092509,0.0004346048,0.002124981,0.0006169172,0.001060724,0.0003405777,0.0003559953,0.003618014],"category_scores_gemma":[0.005880556,0.0001099101,0.0001491725,0.004623563,0.001376032,0.0009809887,0.001938918,0.0003892898,0.000304064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671469,"about_ca_system_score_gemma":0.001066612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124043,"about_ca_topic_score_gemma":0.1906638,"domain_scores_codex":[0.9994149,0.0001623964,0.0000449982,0.0000945718,0.0001084923,0.0001745029],"domain_scores_gemma":[0.9978848,0.0008123111,0.0004802392,0.0001808558,0.0004466697,0.000195055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002978088,0.00004349654,0.8331755,0.0002189588,0.0001154869,0.0003602901,0.02515432,0.001563788,0.001042823,0.03276012,0.003695713,0.1015716],"study_design_scores_gemma":[0.000003945661,0.00001219017,0.988525,0.00005235586,0.00001427213,0.00005760298,0.003991073,0.00053719,0.00006106397,0.00406052,0.002677353,0.000007451923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886451,0.002225912,0.0004033631,0.001774231,0.00001000733,0.00000517564,0.0004118421,0.000006366996,0.006518057],"genre_scores_gemma":[0.9989981,0.000356058,0.0001096077,0.00002788977,0.000006044024,0.000002584261,0.0001332706,0.000003189272,0.0003633047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124043,"threshold_uncertainty_score":0.2466421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827744696897254,"score_gpt":0.1853960620197645,"score_spread":0.167118615050792,"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."}}