{"id":"W4313501537","doi":"10.18357/bigr41202220564","title":"Asylum Seekers in Small Villages: Spatial Proximity and Integration in Italian and French Villages","year":2022,"lang":"en","type":"article","venue":"Borders in Globalization Review","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Political science; Geography; Seekers; Economic growth; Socioeconomics; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001547611,0.0001427338,0.0002697899,0.000193083,0.0002198212,0.00007212668,0.0001250156,0.00006993968,0.0001803071],"category_scores_gemma":[0.0007200359,0.0001465645,0.00002610454,0.001102744,0.000104272,0.0003254366,0.00004675341,0.0001467867,0.000001211222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003278188,"about_ca_system_score_gemma":0.00017361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01922639,"about_ca_topic_score_gemma":0.4702541,"domain_scores_codex":[0.9978213,0.000851333,0.000504762,0.0003359396,0.0002751358,0.0002115807],"domain_scores_gemma":[0.9995368,0.00004552132,0.0001661257,0.0001188293,0.00007800326,0.00005470904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004808521,0.0004808032,0.6419382,0.001418729,0.0000159736,0.00001558512,0.03559765,0.0003810819,0.00006524304,0.1129245,0.007005198,0.2001089],"study_design_scores_gemma":[0.00309033,0.0006084088,0.3394099,0.005741915,0.00007465474,0.00001328185,0.02848366,0.009579199,0.00002911017,0.01698248,0.594492,0.001495007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7403887,0.1802674,0.01036965,0.01653306,0.001274731,0.01075291,0.0001410984,0.0002420806,0.04003037],"genre_scores_gemma":[0.9084857,0.0894125,0.0003056974,0.001182401,0.0000362824,0.0002143861,0.0001774794,0.00001105911,0.0001744985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5874869,"threshold_uncertainty_score":0.9873047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322434208080529,"score_gpt":0.2970339254039088,"score_spread":0.2838095833231035,"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."}}