{"id":"W4200303055","doi":"10.32920/17082353.v1","title":"United Kingdom : Good Ideas from Successful Cities : Municipal Leadership on Immigrant Integration","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Excellence; Kingdom; Political science; Public administration; Regional science; Economic growth; Sociology; Law; Economics","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":[0.003561299,0.0004042283,0.0003246051,0.001333802,0.01224953,0.01185075,0.0005739606,0.001550754,0.00631616],"category_scores_gemma":[0.007689536,0.0003394551,0.0002112814,0.004162819,0.005892334,0.005120313,0.00977982,0.002300835,0.000776317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01087127,"about_ca_system_score_gemma":0.01205756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1443864,"about_ca_topic_score_gemma":0.3195873,"domain_scores_codex":[0.9956665,0.002210054,0.0002062327,0.0002157622,0.0006515385,0.001049883],"domain_scores_gemma":[0.9928398,0.001524197,0.001125093,0.0005965616,0.001291925,0.002622392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008329614,0.00004340623,0.03923118,0.0003567557,0.00002414981,0.000769486,0.7946531,0.0001629976,0.0005757039,0.03641434,0.0869671,0.04071844],"study_design_scores_gemma":[0.00000949343,0.0000267307,0.04055313,0.0003202856,0.00001131071,0.000190812,0.6544331,0.00004101137,0.000254748,0.00205329,0.3020656,0.00004055429],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8038802,0.0106679,0.001861214,0.06534335,0.0009269167,0.0001194493,0.001036178,0.0001087519,0.116056],"genre_scores_gemma":[0.9751408,0.00303852,0.001140946,0.002606611,0.00004645554,0.00008606374,0.0003055954,0.0001065622,0.01752838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443864,"threshold_uncertainty_score":0.2870919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015749153163976,"score_gpt":0.329573474640586,"score_spread":0.2279985593241884,"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."}}