{"id":"W1512718022","doi":"10.2139/ssrn.620362","title":"The Economic Causes and Consequences of Canadian Citizenship","year":2004,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Malmö Högskola","keywords":"Citizenship; Political science; Development economics; Natural resource economics; Geography; Economics; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001464169,0.0002743812,0.000323625,0.004478006,0.0111797,0.004771136,0.001519851,0.001599499,0.00874452],"category_scores_gemma":[0.01064232,0.0003309002,0.0005528279,0.00732603,0.005754048,0.001336174,0.002730435,0.002120297,0.0002826996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0730859,"about_ca_system_score_gemma":0.08264341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9912633,"about_ca_topic_score_gemma":0.9947906,"domain_scores_codex":[0.9968598,0.0002878502,0.00006728719,0.0001535586,0.0007321205,0.00189937],"domain_scores_gemma":[0.993405,0.0007831893,0.001085435,0.0002455338,0.002668099,0.001812727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003138546,0.0001899972,0.8547421,0.00008469813,0.0001009159,0.001058671,0.01688292,0.001498616,0.000218408,0.0665278,0.01990216,0.03847994],"study_design_scores_gemma":[0.00001867911,0.00002133608,0.9321263,0.00009091338,0.00004702861,0.0001661053,0.0394317,0.0009094934,0.00009704583,0.006020951,0.02100894,0.00006146786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327461,0.00164147,0.0001188371,0.02178581,0.00009042293,0.00003461592,0.001690661,0.00001302654,0.04187902],"genre_scores_gemma":[0.996433,0.000828801,0.00004101608,0.0002551359,0.00002461579,0.000005644643,0.0001898173,0.000004602236,0.002217311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0730859,"threshold_uncertainty_score":0.5302778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271705585797271,"score_gpt":0.2583610503998829,"score_spread":0.2456439945419102,"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."}}