{"id":"W2794447049","doi":"","title":"Leaving and Coming Back to Canada : Evidence from Longitudinal Data (Working Paper 32)","year":2002,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Political science","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":[0.003911668,0.0003541773,0.0005033023,0.002449457,0.003515682,0.001991312,0.001651869,0.0006518423,0.005309991],"category_scores_gemma":[0.02046943,0.0003907797,0.0005675693,0.009011661,0.001140666,0.0008871986,0.001969001,0.001458179,0.0005735535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036854,"about_ca_system_score_gemma":0.02491904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.988929,"about_ca_topic_score_gemma":0.9904149,"domain_scores_codex":[0.9980691,0.0003607508,0.0001420302,0.0002597048,0.0005776203,0.0005907092],"domain_scores_gemma":[0.9748883,0.005961043,0.007136224,0.001963401,0.007256398,0.002794598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000117415,0.00005918052,0.978694,0.00007695251,0.0001592499,0.0001270802,0.002655882,0.0003392954,0.00002618609,0.000786545,0.008332272,0.008625933],"study_design_scores_gemma":[0.00002098937,0.00002722736,0.9877781,0.0001502403,0.00007153321,0.00005242278,0.003869568,0.0005658969,0.00005322253,0.0002409871,0.007139622,0.00003011004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9497446,0.002816025,0.0004117397,0.003689055,0.00006286366,0.00008431314,0.03626814,0.00003195451,0.006891267],"genre_scores_gemma":[0.9656417,0.003739157,0.0005768609,0.0006384333,0.00004036094,0.00007082945,0.0244995,0.00002492798,0.004768259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01107103,"threshold_uncertainty_score":0.07522941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795384816750316,"score_gpt":0.2246487782506326,"score_spread":0.1866949300831295,"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."}}