{"id":"W2021763032","doi":"10.1016/j.vaccine.2015.04.042","title":"Health communication and vaccine hesitancy","year":2015,"lang":"en","type":"article","venue":"Vaccine","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":276,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Health communication; Selection (genetic algorithm); Key (lock); Process (computing); Risk communication; Immunization; Plan (archaeology); Public relations; Computer science; Psychology; Knowledge management; Process management; Medicine; Risk analysis (engineering); Business; Biology; Political science; Immunology; Computer security; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004097817,0.0001442439,0.0002926384,0.001420995,0.001055907,0.002403498,0.000469019,0.001227843,0.005211466],"category_scores_gemma":[0.03519166,0.0001545289,0.0003420622,0.0008832761,0.002579237,0.001492158,0.001498848,0.001830788,0.0003183623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439481,"about_ca_system_score_gemma":0.001521501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004004679,"about_ca_topic_score_gemma":0.002005696,"domain_scores_codex":[0.9944292,0.003681104,0.0002951818,0.0001624123,0.0009750039,0.0004571198],"domain_scores_gemma":[0.9595073,0.02694375,0.009073652,0.0006097984,0.001865294,0.00200017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004144601,0.001014794,0.6442385,0.001601045,0.0004501864,0.003257284,0.07171081,0.000868602,0.001014512,0.03464173,0.01098194,0.2298061],"study_design_scores_gemma":[0.00004878929,0.0006278572,0.8709718,0.002780549,0.0001651884,0.003947329,0.04247644,0.001387063,0.0007751877,0.02997188,0.0467174,0.000130598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8781594,0.01624412,0.0007615256,0.03072128,0.0001903444,0.00006504365,0.0001494366,0.0000334717,0.0736753],"genre_scores_gemma":[0.99428,0.003331812,0.000226652,0.0009191174,0.00007807109,0.00001341107,0.00002629774,0.000005066788,0.001119654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005211466,"threshold_uncertainty_score":0.02167159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809361127340347,"score_gpt":0.3291345779418321,"score_spread":0.2910409666684286,"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."}}