{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002470542,0.0002276974,0.0003923716,0.004790589,0.004003448,0.005203105,0.001113237,0.0006449413,0.005558092],"category_scores_gemma":[0.01386789,0.0002091725,0.000316067,0.01943471,0.001630209,0.001749805,0.002375722,0.0008866181,0.0004380548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01968328,"about_ca_system_score_gemma":0.03051861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9896085,"about_ca_topic_score_gemma":0.9953443,"domain_scores_codex":[0.9977701,0.0006096985,0.0001041883,0.0001769697,0.0006487967,0.0006902329],"domain_scores_gemma":[0.9886217,0.004275332,0.001409336,0.0006944954,0.004176529,0.0008228163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001632652,0.000103112,0.7966197,0.0002002237,0.0001493214,0.0006307669,0.07983639,0.002575167,0.000408097,0.04245971,0.02782574,0.04902843],"study_design_scores_gemma":[0.00001460924,0.00002494391,0.7170612,0.000418275,0.00008675711,0.0001274096,0.1677975,0.004053055,0.0002918524,0.005432043,0.1046243,0.00006807897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361544,0.001470078,0.00116285,0.004206881,0.00002964034,0.00005122325,0.01192978,0.00002107674,0.04497414],"genre_scores_gemma":[0.9881189,0.0009338909,0.0008648009,0.0002407945,0.00001279636,0.00002704248,0.004595157,0.00002844992,0.005178093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01968328,"threshold_uncertainty_score":0.1428128,"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."}}