{"id":"W4385304090","doi":"10.9734/jpri/2023/v35i207403","title":"COVID-19 Post Vaccination Data in North America","year":2023,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Research International","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Civil Aviation Organization","funders":"","keywords":"Public health; Pandemic; Vaccination; Milestone; Government (linguistics); Political science; Coronavirus disease 2019 (COVID-19); Public relations; Death toll; Medicine; Economic growth; Environmental health; Virology; Geography; Disease; Infectious disease (medical specialty); Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001052417,0.0002368926,0.0003431588,0.003935701,0.001012232,0.001241763,0.000399707,0.0004293034,0.002500543],"category_scores_gemma":[0.006302534,0.0001593638,0.0003213964,0.008296113,0.000321133,0.0006051877,0.0008537003,0.0005562214,0.0008841395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004256084,"about_ca_system_score_gemma":0.005742471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7373534,"about_ca_topic_score_gemma":0.704607,"domain_scores_codex":[0.9987016,0.0001782804,0.0001845543,0.000235981,0.0005043872,0.0001952068],"domain_scores_gemma":[0.9929028,0.001750582,0.001538981,0.0002846153,0.002987444,0.0005355697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003161651,0.000137076,0.8684257,0.0006519281,0.0001313377,0.000443282,0.002600465,0.0009233641,0.0007674722,0.001095861,0.0951841,0.02932333],"study_design_scores_gemma":[0.00001226017,0.00003088179,0.9417882,0.000128227,0.00002698373,0.0001230388,0.002823655,0.000946365,0.0003133353,0.0001510762,0.05363241,0.00002351385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3756628,0.001796136,0.0004427167,0.00235651,0.00009128259,0.0001354311,0.6052811,0.0002115112,0.01402251],"genre_scores_gemma":[0.4449442,0.00204535,0.001797947,0.0007802916,0.0001043981,0.0002993601,0.5449674,0.00005994217,0.005001172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7373534,"threshold_uncertainty_score":0.5283868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3677571065739081,"score_gpt":0.5913458236422656,"score_spread":0.2235887170683575,"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."}}