{"id":"W7084098941","doi":"10.64628/aam.5jax7rnax","title":"Politicians’ attacks on immigrants lack solid evidence: New data set the record straight","year":2025,"lang":"en","type":"article","venue":"","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Immigration; Set (abstract data type); Data set; Data collection; Identification (biology)","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":[0.01634258,0.0006970646,0.001440005,0.007311532,0.001702424,0.006486115,0.002571279,0.004985947,0.02882405],"category_scores_gemma":[0.1340178,0.0006453986,0.001195715,0.008312465,0.003736162,0.006396235,0.005096594,0.006521334,0.009387928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315182,"about_ca_system_score_gemma":0.003272012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455831,"about_ca_topic_score_gemma":0.03089781,"domain_scores_codex":[0.9861746,0.004582091,0.00173779,0.00200135,0.003839678,0.001664476],"domain_scores_gemma":[0.7439874,0.1456385,0.04600569,0.02860405,0.02668332,0.00908105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001563735,0.0003222923,0.3694834,0.003369565,0.001987636,0.0004065619,0.002938168,0.0004120053,0.0004041667,0.02692019,0.486453,0.1057393],"study_design_scores_gemma":[0.000432525,0.0002525908,0.3936953,0.008179904,0.001468814,0.0005263741,0.01507685,0.000860073,0.001270741,0.02358807,0.554467,0.0001817179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3525394,0.0653095,0.009904631,0.2324768,0.01299862,0.0004208717,0.1106997,0.0003263535,0.215324],"genre_scores_gemma":[0.8060858,0.01891324,0.004454006,0.07022786,0.009725397,0.0003934684,0.07306998,0.0004516587,0.01667854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02882405,"threshold_uncertainty_score":0.09642607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3426367869927122,"score_gpt":0.3715330630050579,"score_spread":0.02889627601234573,"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."}}