{"id":"W4382751799","doi":"10.3389/fpubh.2023.1195751","title":"LetsTalkShots: personalized vaccine risk communication","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"Health Resources and Services Administration; Centers for Disease Control and Prevention; Centers for Disease Control and Prevention Foundation","keywords":"Ethnic group; Medicine; Population; Health communication; Vaccination; Trustworthiness; Family medicine; Psychology; Environmental health; Social psychology; Immunology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004237329,0.00009595183,0.0002570447,0.0003859814,0.0008134079,0.0001011469,0.0004333247,0.00009394172,0.0002160344],"category_scores_gemma":[0.0007635875,0.0001019913,0.00005987377,0.001617846,0.00002756974,0.0004333855,0.00006092133,0.0002792634,0.00007763063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005321244,"about_ca_system_score_gemma":0.0009323138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249936,"about_ca_topic_score_gemma":0.003550942,"domain_scores_codex":[0.997431,0.001015409,0.0003288195,0.0002250361,0.0003247523,0.0006750239],"domain_scores_gemma":[0.9990383,0.0001139542,0.000163868,0.0003476803,0.00007396676,0.0002622777],"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":[0.000008816397,0.00004741046,0.3045394,0.000015029,0.00001450391,0.000003047279,0.02629188,0.000002998765,2.193268e-7,0.01176907,0.6025268,0.05478088],"study_design_scores_gemma":[0.0006438397,0.00002478786,0.144661,0.00001950932,0.000002194723,2.620267e-7,0.01845857,0.0002868796,1.6524e-7,0.00597174,0.8298197,0.0001113848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3339342,0.01040226,0.01331949,0.580979,0.003368484,0.001833192,0.00007964904,0.001360715,0.05472304],"genre_scores_gemma":[0.9573048,0.03099184,0.003532754,0.002279719,0.0002481672,0.00006161186,0.0001067279,0.00002555686,0.005448835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6233706,"threshold_uncertainty_score":0.6424661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712601691740724,"score_gpt":0.3393111456364708,"score_spread":0.2921851287190635,"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."}}