{"id":"W7095592701","doi":"","title":"FSU Immigrants in Canada: A Case of Positive Triple Selection?","year":2009,"lang":"en","type":"article","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Field (mathematics); Context (archaeology); Population; Term (time)","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":[0.0009274857,0.0001993349,0.0004597312,0.0009393342,0.01360326,0.003324077,0.001258012,0.002030391,0.005085057],"category_scores_gemma":[0.003337024,0.0001635127,0.0002161127,0.002166166,0.00454784,0.0008535302,0.001954172,0.002135588,0.0002222546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01705014,"about_ca_system_score_gemma":0.04034771,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9743748,"about_ca_topic_score_gemma":0.9893574,"domain_scores_codex":[0.998691,0.0001009113,0.00001669109,0.00005474755,0.000121447,0.001015199],"domain_scores_gemma":[0.9982467,0.0002413991,0.0002265351,0.00009530913,0.0004166217,0.0007734466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007042348,0.0003141686,0.6070615,0.0001087354,0.0000949205,0.01935497,0.07228848,0.0010724,0.0009948242,0.144139,0.02993786,0.1239288],"study_design_scores_gemma":[0.0001902645,0.0001344216,0.4746639,0.0005616216,0.0001731078,0.009629757,0.4254546,0.00498401,0.0006916538,0.03420972,0.04912663,0.0001802924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590766,0.0005997579,0.0001720436,0.01415388,0.00005568556,0.00002604054,0.0001126618,0.00001039702,0.02579291],"genre_scores_gemma":[0.9972313,0.0002301993,0.00008336025,0.0006696734,0.00001321064,0.000004214807,0.0000153876,0.000003734383,0.001748789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02562517,"threshold_uncertainty_score":0.1237081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006968538862770042,"score_gpt":0.269196758088716,"score_spread":0.262228219225946,"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."}}