{"id":"W3048970643","doi":"10.5539/ijsp.v9n5p49","title":"Logistic Model to Predict the Contagion of Covid-19 in Mexico","year":2020,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Christian ministry; Logistic regression; Disease; Probabilistic logic; Population; Econometrics; Actuarial science; Work (physics); Statistics; Medicine; Mathematics; Business; Environmental health; Engineering; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000310378,0.0000556449,0.0001286095,0.000006503645,0.00003837052,0.00001801886,0.0001723189,0.0000185982,0.00003089536],"category_scores_gemma":[0.0009004839,0.00001690899,0.00002856641,0.0000857369,0.0000793121,0.00004575339,0.00006795889,0.00008658565,5.834272e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002842884,"about_ca_system_score_gemma":0.00002053693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007112821,"about_ca_topic_score_gemma":0.000183677,"domain_scores_codex":[0.9992427,0.00004691626,0.0003266697,0.00009599816,0.0002293436,0.00005832464],"domain_scores_gemma":[0.999151,0.000241185,0.0001688926,0.00001447565,0.000328124,0.00009632914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004793047,0.000910949,0.5210357,0.0002113814,0.000525557,0.00007488958,0.013719,0.04797129,0.03868593,0.08831277,0.04753212,0.2362273],"study_design_scores_gemma":[0.001024657,0.002236129,0.735024,0.00006144642,0.00006336884,0.00008809811,0.002167887,0.008902485,0.0006667264,0.2192156,0.03023054,0.0003189709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998302,0.0002538617,0.009600686,0.08936252,0.0001591319,0.0001977286,0.0005179358,0.000005307715,0.00007258171],"genre_scores_gemma":[0.9973182,0.0001158652,0.001308646,0.001119485,0.0001209261,0.000002078862,0.000006002763,2.269221e-7,0.000008574221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2359083,"threshold_uncertainty_score":0.1078028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09446648558662868,"score_gpt":0.3020489587244054,"score_spread":0.2075824731377767,"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."}}