{"id":"W4378386633","doi":"10.1515/9780773585850-004","title":"From Government to Multilevel Governance of Immigrant Settlement in Ontario’s City-Regions","year":2011,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Corporate governance; Government (linguistics); Political science; Geography; Multi-level governance; Economic geography; Public administration; Archaeology; Business; Economics; Management","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":[0.00079471,0.0001604693,0.0002756355,0.0007087424,0.01129334,0.009660727,0.001100006,0.001426588,0.006728076],"category_scores_gemma":[0.001688255,0.0002988637,0.000307663,0.002600279,0.0127171,0.001774674,0.004286311,0.001392901,0.0002677288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07243371,"about_ca_system_score_gemma":0.06869653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9455642,"about_ca_topic_score_gemma":0.988857,"domain_scores_codex":[0.9987723,0.0002417385,0.00002465391,0.0001101379,0.0001652381,0.0006859326],"domain_scores_gemma":[0.9992268,0.0001339952,0.00008429222,0.0000795241,0.0001415012,0.0003337802],"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":[0.00004409449,0.00003196926,0.02627267,0.00005645367,0.00002800924,0.0004976523,0.08724927,0.002638725,0.0002482219,0.8449604,0.01571763,0.02225498],"study_design_scores_gemma":[0.00004300591,0.00004479424,0.1698024,0.0005046999,0.0000619187,0.0001917079,0.2302976,0.00438145,0.0002458252,0.1850254,0.4093194,0.00008171587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.519137,0.002647671,0.001984959,0.0210734,0.00007740178,0.00007734836,0.0003397906,0.00003455276,0.454628],"genre_scores_gemma":[0.9677227,0.0004192685,0.0004110482,0.0002600711,0.00001218166,0.00002061402,0.0000470833,0.00001312538,0.03109397],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07243371,"threshold_uncertainty_score":0.5255458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03470796979258302,"score_gpt":0.2329902734526216,"score_spread":0.1982823036600386,"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."}}