{"id":"W4297898490","doi":"10.56532/mjsat.v2i3.61","title":"Data Analytics and Prediction Model for Malaysian Covid 19 Vaccination Progress","year":2022,"lang":"en","type":"article","venue":"Malaysian Journal of Science and Advanced Technology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vaccination; Coronavirus disease 2019 (COVID-19); Outbreak; Mass vaccination; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Medicine; Demography; Geography; Business; Environmental health; Disease; Infectious disease (medical specialty); Virology","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":[0.002065168,0.00114013,0.0007281285,0.00228907,0.0004107248,0.001456686,0.0009075012,0.00087525,0.002115141],"category_scores_gemma":[0.004371378,0.0003080924,0.001343377,0.001140891,0.0002157914,0.0009180667,0.0007459725,0.001545435,0.0007899913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130247,"about_ca_system_score_gemma":0.001303332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03666976,"about_ca_topic_score_gemma":0.01861783,"domain_scores_codex":[0.9993243,0.000131624,0.00009601465,0.0002205133,0.0001101286,0.0001175243],"domain_scores_gemma":[0.998131,0.001095935,0.0002011601,0.0001046172,0.000387919,0.00007936601],"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":[0.0007672519,0.001103962,0.3102816,0.0003393333,0.0002843254,0.0007572754,0.0003247313,0.5481241,0.001746523,0.002704984,0.01170546,0.1218605],"study_design_scores_gemma":[0.00001023273,0.0000873467,0.01091086,0.0000271964,0.00002723783,0.00005460119,0.00007473617,0.9866984,0.0005231888,0.0007824523,0.0007907441,0.000012982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8680575,0.002317377,0.09652006,0.004551921,0.0003720656,0.0003585307,0.0205037,0.002810059,0.004508779],"genre_scores_gemma":[0.9621916,0.0007530632,0.02092485,0.0001384251,0.00007596057,0.0002385702,0.01310181,0.00002995357,0.002545768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03666976,"threshold_uncertainty_score":0.07291263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1968286741485841,"score_gpt":0.4294095253686852,"score_spread":0.2325808512201011,"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."}}