{"id":"W4394405799","doi":"10.6084/m9.figshare.21825135","title":"Round 1 Delphi responses (de-identified) - COVID-19 vaccine consensus study (LMICs)","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Virology; Delphi method; Delphi; Medicine; Computer science; Infectious disease (medical specialty); Outbreak; Artificial intelligence; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003528002,0.0004466316,0.0005951597,0.0008478181,0.001239616,0.0008515696,0.002871349,0.0008601117,0.1338464],"category_scores_gemma":[0.104545,0.0004927738,0.0002023478,0.001516335,0.000107427,0.0001186278,0.001236324,0.001302865,0.03037264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320616,"about_ca_system_score_gemma":0.005125641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03634715,"about_ca_topic_score_gemma":0.08146015,"domain_scores_codex":[0.9928513,0.002306759,0.0006863548,0.0009944907,0.001995432,0.001165682],"domain_scores_gemma":[0.9896721,0.007102788,0.0004124202,0.001476138,0.0005214827,0.0008151123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001102453,0.0001790276,0.00001780041,0.0003389101,0.0000843321,0.002632939,0.0007392656,0.000003510288,0.000001021378,0.00000494949,0.9957761,0.0001118679],"study_design_scores_gemma":[0.0003695833,0.0001356105,0.0002174327,0.0005596036,0.00004536944,0.00001508957,0.004578177,0.000003233431,0.000002498737,0.0003018041,0.9932731,0.0004985085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005937536,0.0001798628,4.05551e-7,0.002309276,0.0003542449,0.00280303,0.9932075,0.0008176981,0.0002686489],"genre_scores_gemma":[0.0001384948,0.00008909556,0.0000172056,0.0005539235,0.00074589,0.001739221,0.9887253,0.00007951986,0.007911366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1034737,"threshold_uncertainty_score":0.9997524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3867495433054716,"score_gpt":0.5382153007540272,"score_spread":0.1514657574485557,"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."}}