{"id":"W3108212162","doi":"10.5539/ijsp.v10n1p28","title":"Some Multiple Regression Models for the Number of COVID-19 Cases and Deaths in the United States","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Meaning (existential); Carry (investment); Regression; Regression analysis; Demography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Disease; Mathematics; Econometrics; Statistics; Medicine; Economics; Psychology; Sociology; Pathology; Infectious disease (medical specialty)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01781621,0.001884673,0.001896539,0.003248127,0.001243044,0.002868847,0.003504163,0.001929143,0.01187258],"category_scores_gemma":[0.03233939,0.001027744,0.004020859,0.003626116,0.001163535,0.002276781,0.001933011,0.006029683,0.002047314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002423708,"about_ca_system_score_gemma":0.002029526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07120024,"about_ca_topic_score_gemma":0.04276278,"domain_scores_codex":[0.9931213,0.004970439,0.0002310419,0.0008124866,0.0003095648,0.00055504],"domain_scores_gemma":[0.9539227,0.03831996,0.004240355,0.001041877,0.0017786,0.0006964194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001363245,0.0008401664,0.3594353,0.0005287311,0.003919529,0.001572166,0.001630368,0.4319071,0.0005548066,0.07706988,0.03510462,0.08607396],"study_design_scores_gemma":[0.0001505437,0.0004481064,0.04680257,0.0002605508,0.0007393141,0.0002850528,0.001422089,0.9179096,0.0002448737,0.02469066,0.006914981,0.0001316132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7667825,0.01065254,0.1735109,0.02171465,0.001443144,0.0004789758,0.01061101,0.001429671,0.01337663],"genre_scores_gemma":[0.9492191,0.003167564,0.0224357,0.000588804,0.0005598483,0.0005548676,0.005550988,0.000188895,0.01773416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07120024,"threshold_uncertainty_score":0.1415716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3003500813649331,"score_gpt":0.4565486695640763,"score_spread":0.1561985881991432,"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."}}