{"id":"W7099364877","doi":"","title":"of LaborSelf-Selection, Immigrant Public Finance Performance and Canadian Citizenship","year":2005,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Public policy; Work (physics); Politics; Center (category theory)","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":[0.00272456,0.0002465592,0.000485659,0.002415745,0.007614329,0.004418783,0.001265989,0.0009101094,0.01710228],"category_scores_gemma":[0.01258093,0.0001286257,0.0004382402,0.005025873,0.003296439,0.001654058,0.002571004,0.001352484,0.0005081396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03850764,"about_ca_system_score_gemma":0.05574271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863132,"about_ca_topic_score_gemma":0.9873453,"domain_scores_codex":[0.9973273,0.0003327672,0.00006399472,0.0001681033,0.0007228962,0.001385],"domain_scores_gemma":[0.9912241,0.001475421,0.001185665,0.0004108651,0.002352565,0.003351587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002396418,0.0001933468,0.8360418,0.00005272597,0.0001025406,0.0002000671,0.01936002,0.0006330817,0.00007751369,0.06468388,0.02915462,0.04926074],"study_design_scores_gemma":[0.00002819419,0.00005388661,0.9098577,0.0001743241,0.00006275949,0.00008211784,0.04700623,0.001337824,0.0001270278,0.007303298,0.03389441,0.00007221795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777344,0.001721452,0.0002138817,0.01684001,0.0000993748,0.00004478477,0.002095431,0.00003091562,0.1012196],"genre_scores_gemma":[0.9921684,0.0003483637,0.00004725943,0.0002067683,0.0000130949,0.000005868982,0.0003216023,0.000007888885,0.006880648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03850764,"threshold_uncertainty_score":0.2793938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098791467898936,"score_gpt":0.2207605216407164,"score_spread":0.2097726069617271,"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."}}