{"id":"W7068670907","doi":"","title":"Ability drain","year":2015,"lang":"en","type":"report","venue":"Cadmus - EUI Research Repository (European University Institute)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Brain drain; Vetting; Human capital; Immigration; Capital (architecture); Inequality","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":[0.0007524517,0.0003404827,0.0003253074,0.0016441,0.0008897256,0.002673747,0.0004825847,0.0003930317,0.04287034],"category_scores_gemma":[0.006195802,0.0001045007,0.0004432579,0.002329358,0.001378938,0.002501306,0.003110753,0.001076594,0.002935946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002199836,"about_ca_system_score_gemma":0.002284106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01354977,"about_ca_topic_score_gemma":0.01386416,"domain_scores_codex":[0.9992197,0.0001400465,0.00003706061,0.00008185421,0.0002055526,0.0003157397],"domain_scores_gemma":[0.9963263,0.001017808,0.0009289752,0.000258553,0.0009363934,0.0005319209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003139845,0.0002827884,0.2857376,0.0007828515,0.0001780722,0.0007464457,0.007458111,0.004353462,0.0008448143,0.3422633,0.05629754,0.3007411],"study_design_scores_gemma":[0.00005202324,0.0003404515,0.5216355,0.0009960012,0.0001137488,0.001011543,0.01651051,0.002494306,0.002184242,0.07250175,0.3820832,0.00007684777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5358003,0.002761772,0.004327892,0.007760694,0.0002010078,0.0001704116,0.01191876,0.0001344231,0.4369247],"genre_scores_gemma":[0.9431421,0.002068819,0.000721656,0.0005802834,0.00009025239,0.0001134814,0.002717274,0.00005179379,0.05051425],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04287034,"threshold_uncertainty_score":0.1434156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2427368865691095,"score_gpt":0.3776391558457667,"score_spread":0.1349022692766573,"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."}}