{"id":"W7024610967","doi":"","title":"A Statistical Comparison of COVID-19 in the United States Across Political Affiliations and Census Regions","year":2021,"lang":"en","type":"article","venue":"ScholarWorks @ UTRGV (The University of Texas Rio Grande Valley)","topic":"Algebraic structures and combinatorial models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Politics; Presidential system; Quarter (Canadian coin); China; Coronavirus disease 2019 (COVID-19); American Community Survey; Official statistics","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":[0.006483694,0.0003616033,0.0005150455,0.003461479,0.0004604755,0.00100884,0.00070926,0.0005656268,0.00305683],"category_scores_gemma":[0.0202766,0.0002472612,0.001149758,0.004818722,0.0008814545,0.001183588,0.00143217,0.0008977473,0.0006349282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000468249,"about_ca_system_score_gemma":0.0004199485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008641538,"about_ca_topic_score_gemma":0.006320198,"domain_scores_codex":[0.9898746,0.005401087,0.0009152454,0.001657702,0.001564699,0.0005866929],"domain_scores_gemma":[0.9703682,0.01444259,0.008946503,0.001859586,0.002657096,0.001726063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002260909,0.00005228913,0.9946231,0.00003929758,0.000558576,0.00004617325,0.0002757043,0.0002835098,0.0001536847,0.0002214218,0.001222551,0.002297713],"study_design_scores_gemma":[0.00001278294,0.0002852872,0.995574,0.00002043193,0.00007573196,0.00007972006,0.00144442,0.00118506,0.0001058403,0.0000955523,0.001107931,0.00001318908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890751,0.0004471324,0.000857213,0.0001763822,0.00008969913,0.00006931947,0.006254754,0.00003293606,0.002997598],"genre_scores_gemma":[0.9931184,0.0001095251,0.0004370143,0.00005075884,0.00004473629,0.0001032732,0.005810144,0.00001901098,0.0003070992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008641538,"threshold_uncertainty_score":0.03428942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06248871322259104,"score_gpt":0.3425098152186821,"score_spread":0.280021101996091,"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."}}