{"id":"W105315138","doi":"10.32920/24290803.v1","title":"EU management of high skill migration","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Political science; Eu countries; Business; Economics; European union; Economic growth; Economy; Economic policy","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":[0.002915521,0.0002835039,0.0002452341,0.001032569,0.001300143,0.003225727,0.0006813009,0.0016157,0.009653544],"category_scores_gemma":[0.004071499,0.00008673059,0.0003055306,0.001396714,0.00064321,0.001177942,0.004729994,0.001056024,0.001626919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714686,"about_ca_system_score_gemma":0.005934019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009762363,"about_ca_topic_score_gemma":0.00566807,"domain_scores_codex":[0.9985316,0.0003241558,0.0001236468,0.0001743801,0.0002724518,0.0005736712],"domain_scores_gemma":[0.998926,0.00007570839,0.0001745018,0.0001266427,0.0002247733,0.0004723398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002588646,0.0002444324,0.02299798,0.0006687851,0.00007182085,0.001852372,0.00576814,0.002319324,0.002610636,0.3936099,0.1292541,0.4403438],"study_design_scores_gemma":[0.0000564326,0.00019269,0.05637385,0.0007586754,0.00002945019,0.0008965548,0.005779629,0.001234778,0.001513676,0.02154388,0.9115891,0.00003140821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.319669,0.01339677,0.007892794,0.033668,0.003722643,0.0002870727,0.001626455,0.0004377431,0.6192997],"genre_scores_gemma":[0.8373092,0.004832631,0.007668017,0.009109348,0.0004185663,0.0002404553,0.001862781,0.0001934153,0.1383656],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009762363,"threshold_uncertainty_score":0.03229433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986024884650316,"score_gpt":0.3607741446816976,"score_spread":0.2909138958351944,"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."}}