{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003004191,0.0004332663,0.0004551948,0.001110106,0.04862824,0.008287949,0.001521532,0.005374521,0.01029919],"category_scores_gemma":[0.00554535,0.0004437905,0.0004169958,0.001623283,0.009214623,0.005372601,0.007901791,0.008273119,0.0005381146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007241884,"about_ca_system_score_gemma":0.009152007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2170043,"about_ca_topic_score_gemma":0.5243036,"domain_scores_codex":[0.9973111,0.001126244,0.00004713839,0.0001264604,0.0001602249,0.001228884],"domain_scores_gemma":[0.9967566,0.0009035547,0.0003379849,0.0001301288,0.0002680147,0.001603651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000517606,0.0001611911,0.01193549,0.00002603744,0.000009584908,0.007431542,0.947782,0.0000279471,0.0001780032,0.01897623,0.004704269,0.008716034],"study_design_scores_gemma":[0.000006122991,0.00002588926,0.003932614,0.00007247262,0.000006022799,0.0006930333,0.9745964,0.00002751433,0.00004140047,0.0006207351,0.01996314,0.00001462191],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457089,0.0004672889,0.0001500266,0.01326964,0.0002338603,0.00003177334,0.00002186615,0.000009065086,0.04010766],"genre_scores_gemma":[0.9820576,0.0006539015,0.0001458459,0.002361723,0.00004293852,0.00002518726,0.00001513205,0.00002058233,0.01467711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7829957,"threshold_uncertainty_score":0.4314824,"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."}}