{"id":"W1594934184","doi":"10.22198/rys.2003.26.a648","title":"La fuerza de trabajo en la maquiladora: ubicación de sus espacios laborales y de reproducción en Tijuana","year":2003,"lang":"es","type":"article","venue":"región y sociedad","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Humanities; Political science; Art","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":[0.001555513,0.0002918279,0.0002498128,0.001110468,0.001749168,0.00299125,0.0007876588,0.0005721298,0.005439438],"category_scores_gemma":[0.003584611,0.0002464212,0.00023612,0.001487466,0.002563979,0.001081349,0.002006467,0.0006347625,0.0004457979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421069,"about_ca_system_score_gemma":0.002374094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04479577,"about_ca_topic_score_gemma":0.1227654,"domain_scores_codex":[0.999124,0.0003629745,0.00002107137,0.0001578327,0.000147204,0.0001869329],"domain_scores_gemma":[0.9977957,0.001017758,0.0004702721,0.0001525136,0.0002828439,0.0002808541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006283837,0.0003074948,0.527579,0.0006119838,0.00009708067,0.001360709,0.2146951,0.00165615,0.01106482,0.02045039,0.001785467,0.2197634],"study_design_scores_gemma":[0.00001480857,0.0002349059,0.8127816,0.000322635,0.00007053141,0.0004585305,0.1562981,0.0004764597,0.001159446,0.003322289,0.02483305,0.00002757738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720487,0.002235931,0.0005528436,0.0004784814,0.000009921931,0.00001222423,0.00005134631,0.00001279208,0.02459775],"genre_scores_gemma":[0.9931766,0.001173289,0.0004407742,0.00004167266,0.000006913564,0.00001142467,0.00002554622,0.000007679866,0.005116165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04479577,"threshold_uncertainty_score":0.08907008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460732937343023,"score_gpt":0.2397070694990177,"score_spread":0.2250997401255875,"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."}}