{"id":"W4403244808","doi":"10.1136/bmjph-2024-001240","title":"Development of prediction models of COVID-19 vaccine uptake among Lebanese and Syrians in a district of Beirut, Lebanon: a population-based study","year":2024,"lang":"en","type":"article","venue":"BMJ Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Academy of Engineering Physics; International Development Research Centre","keywords":"Medicine; Socioeconomic status; Vaccination; Population; Cross-sectional study; Demography; Refugee; Pandemic; Nationality; Coronavirus disease 2019 (COVID-19); Environmental health; Immunology; Infectious disease (medical specialty); Immigration; Disease; Internal medicine; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01152069,0.001568139,0.001243736,0.001981294,0.0008130745,0.001833467,0.001553875,0.0007657022,0.00223237],"category_scores_gemma":[0.01236576,0.0007852142,0.002212432,0.0009687888,0.0004671699,0.0006840335,0.001515967,0.001299136,0.0004640245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147565,"about_ca_system_score_gemma":0.002590086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04428534,"about_ca_topic_score_gemma":0.02529137,"domain_scores_codex":[0.9976816,0.001649224,0.00009353599,0.0002937488,0.00009504004,0.0001868634],"domain_scores_gemma":[0.9928706,0.004938619,0.0006296547,0.0003213267,0.0008057631,0.000433965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003429439,0.0003932652,0.9782387,0.00003618258,0.0005763832,0.00009819332,0.0003407349,0.01120394,0.0001214833,0.0001782663,0.0007634112,0.007706589],"study_design_scores_gemma":[0.0001958765,0.0008645587,0.3555518,0.0001390787,0.000527423,0.0001173526,0.002161674,0.6385195,0.0002351211,0.000937817,0.000709577,0.00004012042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951354,0.0001388082,0.003367441,0.0002066015,0.00002350102,0.00009577443,0.000757099,0.00004003434,0.0002354945],"genre_scores_gemma":[0.9932629,0.0001173644,0.004475112,0.0000365263,0.00001719029,0.0002291678,0.001523567,0.000009559902,0.0003285254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04428534,"threshold_uncertainty_score":0.08805519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07958254784399789,"score_gpt":0.3777673297759617,"score_spread":0.2981847819319638,"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."}}