{"id":"W1829566264","doi":"10.25336/p6vc9z","title":"The Flow of Labour and Goods inCanada’s International Migration System: 1986-1996","year":2007,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Immigration; Economics; Economic geography; Value (mathematics); Demographic economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0007396512,0.0003745215,0.000284,0.003621682,0.002261401,0.001872419,0.0007304261,0.0002751366,0.001146926],"category_scores_gemma":[0.003265527,0.0001981661,0.0002392727,0.01100444,0.0008229304,0.0006823195,0.001081486,0.0006136734,0.0002160442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03710185,"about_ca_system_score_gemma":0.0204072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9796134,"about_ca_topic_score_gemma":0.9847009,"domain_scores_codex":[0.9992657,0.00004847918,0.00005774884,0.00008780112,0.0002823213,0.000257928],"domain_scores_gemma":[0.99864,0.00007026229,0.0003179096,0.00003481587,0.0007986486,0.0001383539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002451079,0.00006061467,0.8541554,0.0003433344,0.00008636371,0.0004066168,0.01562053,0.002705948,0.0005568613,0.009435708,0.009185899,0.1071977],"study_design_scores_gemma":[0.000004263229,0.0000128391,0.9728789,0.00007576086,0.00001465416,0.00008041132,0.002455287,0.0002424416,0.0001983418,0.0001451825,0.02387744,0.00001458278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546749,0.005478415,0.0004398818,0.001955506,0.00006921278,0.00008854418,0.01622219,0.00003182029,0.02103941],"genre_scores_gemma":[0.9674373,0.007292049,0.001080747,0.000121053,0.00003363768,0.00004657076,0.01168439,0.0000137885,0.01229044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03710185,"threshold_uncertainty_score":0.269194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293100517433145,"score_gpt":0.3252286890230854,"score_spread":0.3022976838487539,"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."}}