{"id":"W2374319547","doi":"","title":"Insights from Canada's Settlement Industry: Exploring Agency Data on Migration","year":2016,"lang":"en","type":"article","venue":"Dutch Crossing","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Agency (philosophy); Economic geography; Regional science; Business; Political science; Geography; Sociology; Finance; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002285571,0.00009562968,0.0001010332,0.00003328438,0.001259823,0.0003296972,0.0003276789,0.00009555258,0.0003430285],"category_scores_gemma":[0.0002090996,0.00007584226,0.00001657572,0.0001110087,0.0001175679,0.0008448529,0.00006502437,0.0001120699,0.00003214594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000357951,"about_ca_system_score_gemma":0.0009818563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8245454,"about_ca_topic_score_gemma":0.9854712,"domain_scores_codex":[0.9988369,0.00009188461,0.0002122588,0.0003214113,0.0003007044,0.0002368321],"domain_scores_gemma":[0.9992181,0.000130845,0.00009834384,0.000386393,0.00004685504,0.0001194438],"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":[0.0000594499,0.0002205903,0.3223832,0.00002480271,0.0001439777,0.00004246684,0.3057589,0.0001315953,0.01034788,0.01385938,0.1157239,0.2313039],"study_design_scores_gemma":[0.0004188837,0.00001994117,0.2579283,0.0001724415,0.00001759977,1.227866e-7,0.008800039,0.0001720043,0.003746497,0.002713105,0.7256127,0.000398411],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919135,0.00007340909,0.0002798215,0.003788647,0.0007475748,0.00010903,0.0001481306,0.00003952965,0.002900336],"genre_scores_gemma":[0.9978986,0.00003930253,0.0001170056,0.0002873982,0.0008231016,0.00001143034,0.0000830005,0.000008643578,0.0007314525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6098889,"threshold_uncertainty_score":0.9689669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224802111604505,"score_gpt":0.3229492766096269,"score_spread":0.2004690654491763,"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."}}