{"id":"W3108570724","doi":"10.2760/22372","title":"EU Trade in Employment","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; China; Member state; Commission; International trade; Business; Member states; European commission; Geography; 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":[0.001179755,0.0004428272,0.000464489,0.00275752,0.0006363859,0.00373487,0.0005373148,0.001234798,0.02326667],"category_scores_gemma":[0.003341882,0.0001751948,0.0007173564,0.008675219,0.0004191951,0.001438346,0.00253922,0.001247051,0.008222769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364825,"about_ca_system_score_gemma":0.001594078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007336562,"about_ca_topic_score_gemma":0.003634926,"domain_scores_codex":[0.9986725,0.0001729794,0.0001395849,0.0002978833,0.0004440049,0.0002730462],"domain_scores_gemma":[0.9994383,0.0001330562,0.0001386875,0.00007408956,0.0001498388,0.00006592433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003028201,0.0001014069,0.02438664,0.002453851,0.000173631,0.0006169261,0.001482946,0.002113543,0.000709804,0.2454185,0.3663184,0.3559216],"study_design_scores_gemma":[0.00001220596,0.00002807959,0.02630534,0.0008554331,0.00001733668,0.0002015266,0.0005734737,0.0001891899,0.0002970773,0.00707192,0.9644361,0.00001233238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06423314,0.05068962,0.002253412,0.01234889,0.003278182,0.00007331426,0.1273041,0.0004218115,0.7393976],"genre_scores_gemma":[0.5597057,0.05316642,0.005906145,0.006891191,0.001246409,0.0004347983,0.1577201,0.0006464744,0.2142826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02326667,"threshold_uncertainty_score":0.07783478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330139388781981,"score_gpt":0.3029539999814747,"score_spread":0.1699400611032766,"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."}}