{"id":"W3121892213","doi":"","title":"Industry Location and Wages: The Role of Market Size and Accessibility in Trading Networks","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Distribution (mathematics); Market size; Economics; Wage; General equilibrium theory; Economic geography; Market share; Labour economics; Econometrics; Microeconomics; International economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008975412,0.0004144137,0.0004959024,0.0007761028,0.000505046,0.001824526,0.0007617322,0.0007712741,0.004825721],"category_scores_gemma":[0.01326716,0.0002782611,0.0004519129,0.001110221,0.001301319,0.002419371,0.001356366,0.0006892876,0.0003667052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006652058,"about_ca_system_score_gemma":0.0002608665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00430252,"about_ca_topic_score_gemma":0.003775223,"domain_scores_codex":[0.9995012,0.0002684796,0.00001432631,0.0000872672,0.00005137513,0.00007732242],"domain_scores_gemma":[0.9860069,0.009586796,0.002712745,0.0006057716,0.0004173379,0.0006705258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008452978,0.0005870776,0.2401573,0.0002244015,0.0003551989,0.001035513,0.001498311,0.571897,0.004440927,0.1404019,0.002580489,0.03597665],"study_design_scores_gemma":[0.0001493887,0.0002170485,0.07626385,0.00004959213,0.0001359184,0.000391163,0.0009313177,0.7481188,0.001152188,0.1711549,0.001361773,0.00007400736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752917,0.0004299365,0.01944207,0.0006997268,0.0000125985,0.00001210262,0.0001369016,0.00002608238,0.00394889],"genre_scores_gemma":[0.9987893,0.0001002536,0.0006184495,0.00001117113,0.00001393097,0.00000461945,0.00002539598,0.000006022889,0.0004309024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004825721,"threshold_uncertainty_score":0.01614362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436438021986736,"score_gpt":0.285619987630557,"score_spread":0.2412556074106896,"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."}}