{"id":"W4403567039","doi":"10.1353/ces.2024.a939614","title":"Conceptualizing Migrant Integration in Canadian Small Centres","year":2024,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Geography; Political science; Sociology; Ethnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008224883,0.0001346102,0.0001919694,0.0004621721,0.0003566181,0.00005748896,0.0001762561,0.0001213886,0.0002724289],"category_scores_gemma":[0.0006018483,0.0001365398,0.00006189248,0.0005804198,0.0003092597,0.0001889557,0.00001054583,0.0001978651,0.0001302803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040601,"about_ca_system_score_gemma":0.002649172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9975077,"about_ca_topic_score_gemma":0.999997,"domain_scores_codex":[0.9984568,0.0001499692,0.0002419135,0.0002925466,0.00009653202,0.000762263],"domain_scores_gemma":[0.9989688,0.0002097052,0.00002394276,0.000118527,0.00009364342,0.00058533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001561453,0.000003710444,0.005696604,0.00004007577,0.00007577438,0.00006917501,0.7375283,0.00004043631,0.000007755873,0.0610106,0.04460118,0.1509248],"study_design_scores_gemma":[0.00015814,0.00002267191,0.08454257,0.000427371,0.00003461528,0.00000149498,0.3043043,0.0003599869,0.0000273554,0.005130115,0.6045184,0.0004730038],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.362243,0.4869509,0.0000471346,0.03400877,0.005259668,0.001155611,0.0001563186,0.0002337152,0.1099449],"genre_scores_gemma":[0.9850496,0.009485505,0.00003205638,0.0009662792,0.0004270274,0.00004346672,0.00001512299,0.00001349466,0.003967465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6228066,"threshold_uncertainty_score":0.5567933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501482422504624,"score_gpt":0.3710836213739749,"score_spread":0.2209353791235125,"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."}}