{"id":"W3134789270","doi":"10.46692/9781447352068.006","title":"Superdiversity and Sub-National Autonomous Regions: Perspectives from the South Tyrolean Case","year":2020,"lang":"en","type":"other","venue":"","topic":"Global Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Genealogy; Sociology; History","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":[0.001261287,0.0003710006,0.0003538294,0.0009302984,0.00949284,0.006033451,0.0008700353,0.001919377,0.003758539],"category_scores_gemma":[0.0008177256,0.0001975348,0.0003766634,0.0009131003,0.009898624,0.001896855,0.006753643,0.002394777,0.0002644039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01124805,"about_ca_system_score_gemma":0.003674448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.119611,"about_ca_topic_score_gemma":0.1532318,"domain_scores_codex":[0.9984679,0.0006101505,0.00002746229,0.00009931874,0.00005628042,0.0007387996],"domain_scores_gemma":[0.9992905,0.0002181991,0.0001018778,0.00002303111,0.00006093214,0.0003054937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001624455,0.0001418291,0.03233533,0.0002779941,0.00003700837,0.02650132,0.4609396,0.0008666118,0.0009655065,0.4581465,0.007018176,0.01260781],"study_design_scores_gemma":[0.00003152559,0.0000909237,0.03342936,0.0008247948,0.00004971263,0.004353102,0.732317,0.0007709551,0.0003073053,0.02785661,0.1999206,0.0000481261],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769346,0.003090699,0.0002086366,0.005179149,0.0000955126,0.00001708089,0.00002307762,0.00000295287,0.1144482],"genre_scores_gemma":[0.9918674,0.0008545273,0.00008747305,0.0004786991,0.00002216454,0.00001438333,0.00001453184,0.000003940484,0.006656869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.119611,"threshold_uncertainty_score":0.2378296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198646296977403,"score_gpt":0.1903413356256179,"score_spread":0.1583548726558439,"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."}}