{"id":"W6891377527","doi":"10.3886/e119372v1-124740","title":"Data and Code for: The Political Impact of Immigration: Evidence from the United States","year":2022,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Immigration; Politics; Race (biology); Code (set theory); Destinations; Ethnic group","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001237535,0.0009373808,0.0008524278,0.003753455,0.000707312,0.001846896,0.001603972,0.0011558,0.03036073],"category_scores_gemma":[0.00644101,0.0005778127,0.0006596857,0.009800475,0.0003861694,0.0007895826,0.001672524,0.001534748,0.03384818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291092,"about_ca_system_score_gemma":0.002519198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1403517,"about_ca_topic_score_gemma":0.140554,"domain_scores_codex":[0.998419,0.0002210839,0.0002270065,0.0002592375,0.0006278626,0.0002457901],"domain_scores_gemma":[0.9942816,0.0009566221,0.001650507,0.0007166183,0.001938564,0.0004560612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007880302,0.00005654648,0.009625607,0.0003342796,0.00003288192,0.00003901474,0.00008056797,0.0003187154,0.00007455023,0.0005123611,0.9857417,0.003104883],"study_design_scores_gemma":[0.0004713834,0.00005723799,0.1446267,0.0003800756,0.00005782594,0.00009762117,0.0006194501,0.0006762127,0.0005621132,0.0005380428,0.8518472,0.00006611025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001526172,0.00005629518,0.00004061129,0.000121747,0.00002754304,0.00001563762,0.9968342,0.00008828319,0.001289513],"genre_scores_gemma":[0.002554403,0.00006783714,0.0001783613,0.00006717224,0.0000163394,0.0001159913,0.9948646,0.00004048824,0.002094764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1403517,"threshold_uncertainty_score":0.2790696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1845064810611098,"score_gpt":0.41211725603907,"score_spread":0.2276107749779602,"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."}}