{"id":"W1684810095","doi":"10.1007/s12134-015-0463-8","title":"Welcoming Initiatives and Immigrant Attachment: The Case of Windsor","year":2015,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Ontario Trillium Foundation","keywords":"Immigration; Windsor; Context (archaeology); Settlement (finance); Sociology; Disadvantaged; Political science; Economic growth; Geography; Business; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005331612,0.0003066658,0.0003785946,0.0007194738,0.0003526075,0.0006072898,0.0003890428,0.0002454522,0.0001406335],"category_scores_gemma":[0.004890075,0.0002408452,0.0001946263,0.000394418,0.0005036962,0.002543926,0.00004619604,0.0006060596,0.000004069377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005807672,"about_ca_system_score_gemma":0.0007427421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005456769,"about_ca_topic_score_gemma":0.04079161,"domain_scores_codex":[0.9958548,0.001486614,0.001420703,0.0002999926,0.0006966204,0.0002413001],"domain_scores_gemma":[0.9938232,0.001252857,0.001522269,0.0001871421,0.002953767,0.0002607633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004494643,0.0003867911,0.02173926,0.00002736311,0.0002345989,0.00005749944,0.156094,0.0006583843,0.009880917,0.7932042,0.006256958,0.01101062],"study_design_scores_gemma":[0.007427967,0.002787822,0.09421779,0.002123849,0.0005029619,0.01099215,0.2846097,0.1475433,0.02687966,0.06495965,0.3562518,0.001703313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837115,0.000920416,0.123647,0.02208129,0.001058549,0.0005357654,0.00006374923,0.00005193233,0.01452628],"genre_scores_gemma":[0.986886,0.004059789,0.005760678,0.0009812958,0.0007781786,0.000053084,0.00009489396,0.0000267908,0.001359244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7282445,"threshold_uncertainty_score":0.9821382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02927124612077267,"score_gpt":0.349177159420679,"score_spread":0.3199059132999063,"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."}}