{"id":"W2340483998","doi":"","title":"ABSTRACT Where Do the Brainy Italians Go","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Italy: Economic History and Contemporary Issues","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ceteris paribus; Bachelor; Demographic economics; Affect (linguistics); Political science; Geography; Development economics; Sociology; Economics; Law","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":[0.0006592561,0.0001583474,0.0003241925,0.001128437,0.001531918,0.002811381,0.0003622294,0.0006985561,0.0148133],"category_scores_gemma":[0.003733985,0.0001275872,0.0002340104,0.001439691,0.001230055,0.001239753,0.001077285,0.001071028,0.00387147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009670877,"about_ca_system_score_gemma":0.0008768135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0326727,"about_ca_topic_score_gemma":0.04694633,"domain_scores_codex":[0.9995253,0.0001095507,0.00001249119,0.00005688988,0.00006304256,0.0002327268],"domain_scores_gemma":[0.9970834,0.0003376993,0.001185026,0.0001216118,0.0002485576,0.001023667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007018869,0.0002676783,0.81713,0.0002027746,0.0001105728,0.0007894677,0.009902271,0.0003474224,0.0003550242,0.02598329,0.07348336,0.07072631],"study_design_scores_gemma":[0.0000576001,0.0001396879,0.8512875,0.0003339236,0.00006936967,0.0004644235,0.01979475,0.0003807699,0.000182918,0.005884274,0.121357,0.00004774338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892159,0.003608814,0.0002270436,0.0217064,0.0001784746,0.0000178935,0.001054538,0.000023005,0.08396791],"genre_scores_gemma":[0.9783378,0.001769662,0.0001148758,0.00234409,0.0002023645,0.00001366571,0.0004905675,0.00001861664,0.01670835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0326727,"threshold_uncertainty_score":0.06496507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016154562827788,"score_gpt":0.1949589080072193,"score_spread":0.1747973623789414,"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."}}