{"id":"W4388207784","doi":"10.21203/rs.3.rs-3471473/v1","title":"An Exploration of COVID-19 Vaccination Models for Refugees and Newcomer Immigrants in a Canadian City","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"College of Family Physicians of Canada","keywords":"Refugee; Vaccination; Context (archaeology); Thematic analysis; Immigration; Political science; Pandemic; Government (linguistics); Coronavirus disease 2019 (COVID-19); Medicine; Qualitative research; Sociology; Geography; Immunology; Disease; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006755885,0.0008235815,0.0006804006,0.001852182,0.03140656,0.006501558,0.003064597,0.001541135,0.003608892],"category_scores_gemma":[0.005022932,0.000704267,0.0008489895,0.002309458,0.00996181,0.002428135,0.007839701,0.003297239,0.000228457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07467858,"about_ca_system_score_gemma":0.1280268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9171003,"about_ca_topic_score_gemma":0.9708443,"domain_scores_codex":[0.9959878,0.001465867,0.0001038405,0.0002340608,0.0005152946,0.001692994],"domain_scores_gemma":[0.9966483,0.0008576711,0.0002495452,0.0001067442,0.0006193841,0.001518474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004460861,0.00009674003,0.01532917,0.0001670741,0.00001052532,0.001590652,0.9717807,0.00007748802,0.0003848429,0.0021366,0.001759888,0.006621787],"study_design_scores_gemma":[0.000002306616,0.0000228744,0.003914503,0.0001042063,0.000003795123,0.00006489805,0.9905196,0.0000452513,0.00003118839,0.00006699908,0.005212771,0.00001156341],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889304,0.0006288295,0.0003176805,0.003095894,0.00007360209,0.0001930035,0.0001131164,0.00000960513,0.006637869],"genre_scores_gemma":[0.993681,0.001042666,0.000880687,0.0009608003,0.00001072684,0.0001132114,0.0001077892,0.00001555382,0.003187581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08289975,"threshold_uncertainty_score":0.5418336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.287702904574466,"score_gpt":0.5022511671578992,"score_spread":0.2145482625834332,"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."}}