{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001850954,0.0003011643,0.0006516774,0.004431455,0.001453538,0.002813002,0.0009679815,0.0003948881,0.002165324],"category_scores_gemma":[0.007961009,0.0001361861,0.0005606317,0.01032402,0.001302134,0.0005924846,0.00184584,0.0005326254,0.0002504364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0139796,"about_ca_system_score_gemma":0.01445722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9788792,"about_ca_topic_score_gemma":0.9907148,"domain_scores_codex":[0.9981347,0.0002951956,0.0000937598,0.0002367437,0.0004898398,0.0007496133],"domain_scores_gemma":[0.9949299,0.001131251,0.0004848084,0.0003622785,0.002646314,0.0004453867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017946,0.00005000561,0.8979055,0.0002413999,0.0003156608,0.0004849655,0.005951263,0.005036389,0.001611534,0.01235175,0.006612964,0.06842071],"study_design_scores_gemma":[0.00002067882,0.00003315951,0.9666075,0.0001572914,0.0001002929,0.0001296396,0.02075449,0.001337159,0.0004783089,0.0008350149,0.00950272,0.00004379982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680676,0.002823138,0.0007492551,0.0008988716,0.00002681661,0.00002477573,0.003888907,0.00002509342,0.0234956],"genre_scores_gemma":[0.9948117,0.0008800413,0.0005967719,0.0001021965,0.000005999417,0.00000983917,0.002061353,0.00001683506,0.001515184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02112079,"threshold_uncertainty_score":0.1014296,"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."}}