{"id":"W3122687118","doi":"","title":"Chronic Low Income Among Immigrants in Canada and its Communities","year":2017,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Low income; Demographic economics; Population; Socioeconomics; Geography; Economics; Demography; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001666958,0.0001960411,0.0005267905,0.0001253469,0.005660421,0.0003225551,0.0006682184,0.00007767494,0.0001452462],"category_scores_gemma":[0.002648011,0.0001650345,0.00005026419,0.000317327,0.003672764,0.001025126,0.0007322553,0.0005354335,0.0000148253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007871808,"about_ca_system_score_gemma":0.001029719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9665778,"about_ca_topic_score_gemma":0.9997071,"domain_scores_codex":[0.9966829,0.0005923058,0.000340862,0.0002907444,0.001118722,0.000974509],"domain_scores_gemma":[0.997191,0.001489226,0.00007902815,0.0004296335,0.0005930085,0.0002181169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004309547,0.00002514684,0.953823,0.000139256,0.0002718686,0.00004674856,0.02436936,0.000003753865,0.00000746376,0.0161217,0.001630776,0.003517798],"study_design_scores_gemma":[0.0004375636,0.00007351927,0.9075546,0.0002050981,0.00001340308,5.758611e-7,0.07575691,0.00008168232,0.00002013039,0.002037425,0.01358454,0.0002345844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629377,0.01258973,4.044268e-7,0.008981406,0.0001726954,0.0003479695,0.00001648075,0.00002349552,0.01493016],"genre_scores_gemma":[0.9682825,0.02650603,0.000002948935,0.00009071086,0.0002576613,0.00008132597,0.00000152931,0.00001254338,0.00476472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05138756,"threshold_uncertainty_score":0.9990387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167787498983423,"score_gpt":0.4031512196367936,"score_spread":0.2863724697384512,"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."}}