{"id":"W2792308057","doi":"","title":"Chapter 16. Changing Territorial Strategies: Chinese Immigrants in Canada","year":2011,"lang":"fr","type":"book-chapter","venue":"OpenEdition (OpenEdition)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Economic geography; Political science; Geography; Law","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":[0.0002080957,0.0003817513,0.0001636337,0.0006225434,0.01066079,0.00337041,0.000662875,0.0006701503,0.008709218],"category_scores_gemma":[0.0002318833,0.0001082042,0.0002061475,0.002583917,0.002911478,0.000989386,0.0007803775,0.001005494,0.0006413712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04270053,"about_ca_system_score_gemma":0.05556451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9459403,"about_ca_topic_score_gemma":0.9888723,"domain_scores_codex":[0.9998455,0.00001675922,0.000003209406,0.00001727422,0.00004905664,0.00006811944],"domain_scores_gemma":[0.9999031,0.000009548043,0.000005176365,0.000002621939,0.00004067754,0.00003899224],"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":[0.00004475422,0.00005066918,0.008371044,0.0004632892,0.00001258648,0.0008449954,0.1867108,0.0006012832,0.0008846866,0.318297,0.3074597,0.1762592],"study_design_scores_gemma":[0.000004906697,0.00001570615,0.01152578,0.00025914,0.00001285888,0.0002214834,0.04590086,0.0001429215,0.0002273949,0.002946024,0.938722,0.00002094028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07991984,0.05356495,0.0003768099,0.01306111,0.001229991,0.00007245598,0.000361431,0.00004407777,0.8513694],"genre_scores_gemma":[0.3511087,0.05329972,0.0007882451,0.002286885,0.0002023299,0.00004665882,0.0003491504,0.00004659301,0.5918716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05405968,"threshold_uncertainty_score":0.3098155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452025554057181,"score_gpt":0.2456185447905386,"score_spread":0.2210982892499668,"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."}}