{"id":"W4394844665","doi":"10.1136/bmjph-2023-000381","title":"Understanding the factors that shape vaccination ecosystem resilience: a qualitative assessment of international expert experiences and perspectives","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":"Precision Nanosystems (Canada)","funders":"Merck Sharp and Dohme; Merck","keywords":"Resilience (materials science); Qualitative research; Ecosystem; Environmental resource management; Psychological resilience; Psychology; Environmental planning; Geography; Sociology; Ecology; Social psychology; Environmental science; Biology; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01845339,0.0006342113,0.0006269359,0.002011939,0.00457576,0.003513655,0.00127671,0.001512953,0.002546471],"category_scores_gemma":[0.02114334,0.0005594365,0.0004426293,0.001597756,0.005873366,0.004223009,0.007314388,0.002114148,0.0002525556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0036934,"about_ca_system_score_gemma":0.003217746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005951227,"about_ca_topic_score_gemma":0.006999228,"domain_scores_codex":[0.9905816,0.006497374,0.0003244567,0.0004287108,0.0005368179,0.001630926],"domain_scores_gemma":[0.9812789,0.01471361,0.001104306,0.000384227,0.00122427,0.001294749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001811701,0.00001424423,0.003102572,0.0001206742,0.000003469174,0.0004151308,0.9924454,0.00003855403,0.000344297,0.0003773436,0.0002442157,0.002875874],"study_design_scores_gemma":[0.00000171975,0.00002183793,0.002041817,0.0001553509,0.000003553689,0.0001543921,0.9933268,0.00006227815,0.0001561292,0.0001465888,0.003920123,0.000009468752],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881417,0.0005338425,0.002214041,0.001738479,0.00003988091,0.0001899398,0.0001607451,0.00001298399,0.006968478],"genre_scores_gemma":[0.9963219,0.0006789184,0.0008391055,0.0005178937,0.00001541726,0.0001930556,0.00007353888,0.00001681784,0.001343343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01845339,"threshold_uncertainty_score":0.097592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3091575399593837,"score_gpt":0.4965989110919432,"score_spread":0.1874413711325595,"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."}}