{"id":"W2258206577","doi":"","title":"CENTRALITY OF ITALY IN THE MEDITERRANEAN MIGRATION SYSTEM: ASPECTS OF FOREIGNERS’ PRESENCE","year":2014,"lang":"it","type":"article","venue":"Institutional Research Information System University of Turin (University of Turin)","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Immigration; Recession; Emigration; Mediterranean climate; Order (exchange); Development economics; Geography; Economic geography; Human migration; Centrality; Economy; Political science; Economics; Population; Sociology","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":[0.001205116,0.00009234132,0.0001498583,0.001351817,0.001711573,0.003839183,0.0003700834,0.0007114883,0.006031972],"category_scores_gemma":[0.002155832,0.00007179964,0.00009241743,0.001507095,0.002995337,0.001395189,0.001648592,0.0006163876,0.0003698508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002093104,"about_ca_system_score_gemma":0.0009765439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091844,"about_ca_topic_score_gemma":0.01156633,"domain_scores_codex":[0.9992464,0.0003881229,0.0000218813,0.0000722343,0.00008072995,0.0001905983],"domain_scores_gemma":[0.9988725,0.0002854944,0.0002931202,0.00004479699,0.0001123144,0.0003917862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003783514,0.0001658412,0.3747332,0.0004110586,0.00004921574,0.002863494,0.4004289,0.0003142029,0.001228697,0.1064334,0.02534107,0.08765238],"study_design_scores_gemma":[0.00001927868,0.00009751125,0.6689381,0.000368159,0.00002511558,0.001154508,0.1913572,0.0003855446,0.0001248295,0.003098867,0.1343964,0.00003455372],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8756375,0.001947727,0.0001873598,0.008977663,0.0001304395,0.0000119206,0.0000962516,0.00001484163,0.1129963],"genre_scores_gemma":[0.9973355,0.000286082,0.00003977468,0.0001907377,0.0000508412,0.000003526838,0.00002113707,0.000003757136,0.002068538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091844,"threshold_uncertainty_score":0.0217098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06609788818823407,"score_gpt":0.2833527096356948,"score_spread":0.2172548214474607,"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."}}