{"id":"W3121184798","doi":"","title":"Worker Composition and Export Decision: Evidence from Colombia","year":2013,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Composition (language); Economics; Affect (linguistics); Labour economics; Fraction (chemistry); Demographic economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003663111,0.0001979832,0.0002436102,0.0009802711,0.0003418281,0.0008564905,0.0002836134,0.0002285631,0.004652689],"category_scores_gemma":[0.001711576,0.0001250522,0.0001624654,0.001795159,0.0002877805,0.000230678,0.0004757382,0.0002622046,0.0004004383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170219,"about_ca_system_score_gemma":0.0003093935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1173817,"about_ca_topic_score_gemma":0.1512446,"domain_scores_codex":[0.999775,0.00005852538,0.00001532231,0.00005379931,0.00004822806,0.000049071],"domain_scores_gemma":[0.998347,0.0006080159,0.0006408475,0.00008868233,0.0001607882,0.0001545446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002811306,0.00007659721,0.980587,0.0002196068,0.00007818008,0.0002721367,0.001015217,0.0003228149,0.0002842018,0.0003619388,0.001687517,0.01481367],"study_design_scores_gemma":[0.00001372455,0.00003451111,0.9950492,0.00003734972,0.00002290208,0.00007135118,0.00129907,0.0001754696,0.00008415638,0.00007853519,0.003126764,0.000006903314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896637,0.002111569,0.0001867779,0.0002647431,0.000007810488,0.00001279779,0.002369575,0.000008273203,0.005374779],"genre_scores_gemma":[0.9946342,0.001407763,0.0001419515,0.0000508144,0.00001233887,0.000007919555,0.00218588,0.000004658486,0.001554396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173817,"threshold_uncertainty_score":0.2333968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790915817265923,"score_gpt":0.227918577917733,"score_spread":0.1700094197450738,"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."}}