{"id":"W4310870109","doi":"10.18280/ijsdp.170702","title":"Knowledge, Attitude, and Perception of Health and Non-Healthcare Workers Towards COVID-19 Vaccination: Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Coronavirus disease 2019 (COVID-19); Vaccination; Support vector machine; Perception; Statistical inference; Inference; Psychology; Computer science; Health care; Descriptive statistics; Applied psychology; Artificial intelligence; Machine learning; Data science; Medicine; Statistics; Mathematics; Virology; Political science; Pathology","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":[0.00205869,0.0002903828,0.0004038238,0.001613029,0.0004259371,0.001172905,0.000445347,0.0008349021,0.001931104],"category_scores_gemma":[0.009420302,0.000187243,0.0007728236,0.001248768,0.0004218646,0.0008615908,0.0004654357,0.001096827,0.0002907075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005849364,"about_ca_system_score_gemma":0.0006753564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323242,"about_ca_topic_score_gemma":0.004098144,"domain_scores_codex":[0.9989309,0.0005906208,0.000056553,0.0001243806,0.0001582741,0.0001393164],"domain_scores_gemma":[0.9923316,0.006126063,0.0006619421,0.0001876531,0.0003928033,0.0002997916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001431914,0.001095945,0.95687,0.00006200634,0.0001117547,0.00007692559,0.001217994,0.003782173,0.0002601307,0.0004078046,0.0004645024,0.03550757],"study_design_scores_gemma":[0.00001976126,0.0007694541,0.8016918,0.0001397505,0.0001152709,0.0001364556,0.004983669,0.1884361,0.0005857858,0.002447812,0.0006347122,0.00003955482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960109,0.00009379553,0.002164211,0.0003906777,0.00001077102,0.00003134816,0.0001285578,0.00001339047,0.001156348],"genre_scores_gemma":[0.9982653,0.00006049618,0.001218953,0.00004054965,0.00001094633,0.00002958807,0.0001001723,0.000001015325,0.0002730121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005323242,"threshold_uncertainty_score":0.0108875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767947955855331,"score_gpt":0.3516033499683311,"score_spread":0.3139238704097778,"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."}}