{"id":"W3123071314","doi":"","title":"An Anatomy of the Geographical Concentration of Canadian Manufacturing Industries","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Manufacturing; Economic geography; Business; Location; Industrial organization; Geography; Marketing; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004565693,0.0002275618,0.0002258145,0.0101772,0.00216186,0.003120919,0.0009231735,0.0003231628,0.006916797],"category_scores_gemma":[0.004561376,0.0002429471,0.0002409944,0.02045431,0.001636359,0.000911504,0.001263292,0.0003367651,0.0005629202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02317183,"about_ca_system_score_gemma":0.0115971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9703642,"about_ca_topic_score_gemma":0.9798886,"domain_scores_codex":[0.9991317,0.00006530293,0.00002513102,0.0001469497,0.0003688007,0.0002621293],"domain_scores_gemma":[0.9966804,0.000342909,0.0004339418,0.0001727084,0.002148601,0.0002214006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000191025,0.00003022242,0.4734181,0.0005035542,0.0001177636,0.001122894,0.02054563,0.01003142,0.006505607,0.2049039,0.0455455,0.2370844],"study_design_scores_gemma":[0.000007620369,0.00002050538,0.8595266,0.0001668121,0.00004021425,0.0003963887,0.006275875,0.004112065,0.0009978823,0.006902684,0.1214789,0.00007442271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382021,0.008047592,0.009198548,0.004411315,0.00007000776,0.0001061992,0.01529836,0.0003223897,0.2243435],"genre_scores_gemma":[0.9792216,0.002924992,0.004354914,0.0001024955,0.00001932231,0.00002110835,0.002658944,0.00003914714,0.01065737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02963585,"threshold_uncertainty_score":0.1681241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795233505589889,"score_gpt":0.2689044340845492,"score_spread":0.2309520990286503,"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."}}