{"id":"W4401809582","doi":"10.55016/ojs/sppp.v14i1.73284","title":"IMMIGRANT INCOMES AND CREDIT","year":2021,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Immigration; Business; Demographic economics; Economics; Labour economics; Political science; 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":[0.0004776744,0.0001723055,0.0001895614,0.001740751,0.002315919,0.002325538,0.000347818,0.0003302494,0.01465356],"category_scores_gemma":[0.004706583,0.00007104948,0.0002115983,0.003051162,0.0009424318,0.0006003701,0.001805885,0.0009540434,0.0007598193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007697337,"about_ca_system_score_gemma":0.008043708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8213574,"about_ca_topic_score_gemma":0.8896661,"domain_scores_codex":[0.9993356,0.00006862936,0.00002398384,0.00003643981,0.0002101713,0.0003252219],"domain_scores_gemma":[0.9969205,0.000173184,0.0006378443,0.00005941404,0.0008970529,0.001312158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001196149,0.00008302525,0.9217138,0.00004464228,0.0000313877,0.0001885843,0.002252528,0.0004994368,0.00005846299,0.0125139,0.0278343,0.03466049],"study_design_scores_gemma":[0.000007570132,0.00002035509,0.9496239,0.000115329,0.00001210435,0.00008567991,0.005451824,0.0002145239,0.00005719374,0.001068018,0.04332665,0.00001687274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8699344,0.001423105,0.0002651335,0.00637272,0.0001020925,0.00003432088,0.007552561,0.000044934,0.1142707],"genre_scores_gemma":[0.9789918,0.0008108494,0.0001382774,0.0002313591,0.00003013809,0.000011697,0.00223372,0.00001371219,0.01753837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8213574,"threshold_uncertainty_score":0.3593894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443606001470092,"score_gpt":0.3327200308392884,"score_spread":0.2883594306922792,"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."}}