{"id":"W2189417451","doi":"","title":"INTERPROVINCIAL MIGRATION OF CANADIAN IMMIGRANTS","year":2002,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Presentation (obstetrics); Library science; Sociology; Political science; Population; Work (physics); Media studies; Demography; Law; Medicine; Engineering","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":[0.0005655033,0.0003240705,0.0003103592,0.002611022,0.006872238,0.001758304,0.001012699,0.0004200105,0.007765759],"category_scores_gemma":[0.00204811,0.000160223,0.0003761826,0.005217568,0.0007706335,0.0004966856,0.002440252,0.0007488653,0.0004419111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02183845,"about_ca_system_score_gemma":0.03095241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925955,"about_ca_topic_score_gemma":0.9967417,"domain_scores_codex":[0.9989439,0.00007270651,0.00003806068,0.0001457647,0.0002115246,0.0005880843],"domain_scores_gemma":[0.9987171,0.00005567588,0.0001389431,0.00005285452,0.0006639829,0.0003715042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003715356,0.0001034864,0.8745455,0.0001169579,0.0001180266,0.0008421195,0.02922373,0.0004637797,0.000777784,0.005264055,0.01166358,0.07650941],"study_design_scores_gemma":[0.00001088199,0.00003306603,0.9465492,0.00008217309,0.00003960405,0.0001724385,0.04214008,0.0003043606,0.000170611,0.0001820351,0.01027224,0.00004337711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819511,0.000802264,0.000100292,0.0008198586,0.00006674392,0.00002957408,0.00171298,0.00000882543,0.0145084],"genre_scores_gemma":[0.9929047,0.0006579869,0.0001225281,0.0001226979,0.0000140836,0.00001339689,0.000731197,0.000008053306,0.005425272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02183845,"threshold_uncertainty_score":0.1584497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01756531011301548,"score_gpt":0.2485636036953928,"score_spread":0.2309982935823774,"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."}}