{"id":"W7066410429","doi":"","title":"The Impact of COVID-19 on Noncitizens and Across the U.S. Immigration System","year":2020,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Enforcement; Immigration law; Immigration policy; Refugee; Legislature; Citizenship; Deportation; Immigration and crime","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":[0.001654132,0.0003707401,0.0003019293,0.001755884,0.008305003,0.004637712,0.001369459,0.001223059,0.008847028],"category_scores_gemma":[0.004527845,0.0002393731,0.0004718232,0.003450038,0.001967761,0.002111222,0.006377122,0.002785396,0.0004979747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01267616,"about_ca_system_score_gemma":0.01889459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5711052,"about_ca_topic_score_gemma":0.7992548,"domain_scores_codex":[0.997803,0.0003956946,0.0000753536,0.0001358173,0.0005704598,0.001019504],"domain_scores_gemma":[0.9970662,0.0003245074,0.0005294607,0.0001018259,0.0007692347,0.001208663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002772484,0.0006511905,0.460005,0.0009725555,0.0002196441,0.005172058,0.03533039,0.001793453,0.001803046,0.02235475,0.1890061,0.2824147],"study_design_scores_gemma":[0.00001952776,0.0001751393,0.8439223,0.0009636368,0.00008228474,0.0005455148,0.07472331,0.000551876,0.0003882145,0.001193895,0.07736358,0.00007064002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7741004,0.007714487,0.0002234079,0.06094629,0.001016991,0.0002506624,0.002345395,0.00008087527,0.1533214],"genre_scores_gemma":[0.9627476,0.01053725,0.000410633,0.01451698,0.0002722567,0.0001246738,0.00145987,0.00003966833,0.009891141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5711052,"threshold_uncertainty_score":0.8628413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01973314604596225,"score_gpt":0.3364586807696843,"score_spread":0.3167255347237221,"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."}}