{"id":"W3141772346","doi":"","title":"On the Difficulty of Comparing the Spatial Distribution of Service Industries Across Nations: Contrasting Spain and Canada","year":2011,"lang":"en","type":"article","venue":"ERSA conference papers","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Economies of agglomeration; Order (exchange); Distribution (mathematics); Tertiary sector of the economy; Context (archaeology); Service (business); Geography; Manufacturing; Regional science; Spatial distribution; Business; Economy; Economics; Economic growth; Marketing; Mathematics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003155,0.0000887506,0.0002447747,0.00002129624,0.0001842341,0.00002548708,0.0001904589,0.00004020737,0.00009161687],"category_scores_gemma":[0.0002971072,0.00006272252,0.00003482661,0.0001503352,0.0001380407,0.0000435032,0.00004386823,0.0001073147,0.000001761586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004806475,"about_ca_system_score_gemma":0.00008404566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6623011,"about_ca_topic_score_gemma":0.7298061,"domain_scores_codex":[0.9992862,0.00002063274,0.0003720436,0.0001511006,0.00004025371,0.000129719],"domain_scores_gemma":[0.9990701,0.0002678284,0.0003896091,0.0001490091,0.00009279831,0.00003065176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003468975,0.00003356786,0.1598915,0.00001845668,0.0001513133,3.939886e-7,0.002220985,0.0003425876,0.00004537981,0.8362124,0.00007268016,0.0009759889],"study_design_scores_gemma":[0.0004675818,0.00005390369,0.9517211,0.0000621442,0.00002474801,0.000001016065,0.006019789,0.03497686,0.0004599941,0.004441417,0.001541293,0.0002301168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908783,0.0000497837,0.0004753511,0.002369512,0.00006114312,0.0001025403,0.0002589914,0.000002858913,0.005801564],"genre_scores_gemma":[0.9996976,0.00003953216,0.00000622775,0.0001705941,0.00001352466,0.000008235064,0.0000267475,0.000003698036,0.00003379028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.831771,"threshold_uncertainty_score":0.3399476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05862075503026584,"score_gpt":0.2008410402287459,"score_spread":0.14222028519848,"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."}}