{"id":"W3006575237","doi":"10.14745/ccdr.v46i23a05","title":"Optimizing communication material to address vaccine hesitancy","year":2020,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Immunization Research Network; Public Health Agency; Public Health Agency of Canada","keywords":"Health communication; Risk communication; Best practice; Public relations; Vaccination; Medicine; Public health; Information Dissemination; Product (mathematics); Business; Nursing; Environmental health; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.03170876,0.0009266175,0.0007016724,0.003155816,0.002723726,0.003059844,0.001847342,0.00158551,0.008897576],"category_scores_gemma":[0.09227948,0.0004534482,0.0008267037,0.001161815,0.001211391,0.003208281,0.002613443,0.002186655,0.002149668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006440714,"about_ca_system_score_gemma":0.02193518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391342,"about_ca_topic_score_gemma":0.03181066,"domain_scores_codex":[0.9793914,0.01041788,0.001688165,0.0004506742,0.006864592,0.001187311],"domain_scores_gemma":[0.9512738,0.02654248,0.006163378,0.002171011,0.01131219,0.002537183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005507809,0.003006899,0.02628354,0.00590187,0.0001150992,0.0008288565,0.02453545,0.001582681,0.006025734,0.005791066,0.06418671,0.8611914],"study_design_scores_gemma":[0.001154475,0.007464375,0.1401789,0.0263124,0.0009308631,0.002431087,0.04982955,0.01148165,0.02955815,0.01538617,0.714615,0.0006574065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5494165,0.01080486,0.1324801,0.08078867,0.002883319,0.03084716,0.002352292,0.006787245,0.1836398],"genre_scores_gemma":[0.4859423,0.01222682,0.4537127,0.009083819,0.0005423303,0.01087203,0.001520891,0.0004547919,0.02564446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9760866,"threshold_uncertainty_score":0.167694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745516005849771,"score_gpt":0.283504679067122,"score_spread":0.2560495190086243,"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."}}