{"id":"W3015955068","doi":"10.14745/ccdr.v46i04a06","title":"Motivational interviewing: A powerful tool 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":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Canadian Immunization Research Network","keywords":"Motivational interviewing; General partnership; Interview; Empathy; Context (archaeology); Psychology; Health care; Intervention (counseling); Compassion; Medical education; Nursing; Medicine; Social psychology; Sociology","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":[0.01537525,0.0009951328,0.0007005172,0.002742269,0.001143019,0.001435692,0.001137848,0.001057268,0.008514096],"category_scores_gemma":[0.03554222,0.0004256766,0.000869198,0.001221565,0.0009570436,0.001569903,0.003572009,0.003161002,0.002324298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104601,"about_ca_system_score_gemma":0.003036245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180473,"about_ca_topic_score_gemma":0.00272607,"domain_scores_codex":[0.9896219,0.008043968,0.0003680266,0.00029771,0.001333021,0.0003354395],"domain_scores_gemma":[0.9802222,0.01603473,0.001073685,0.0004806931,0.001229361,0.000959362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002988316,0.001241581,0.004688939,0.002345379,0.0001375679,0.0002817367,0.01522829,0.0003435404,0.003563155,0.005542005,0.06686648,0.8994625],"study_design_scores_gemma":[0.001414075,0.003079287,0.04901344,0.01109997,0.0004688801,0.002481485,0.0203154,0.006496704,0.009929529,0.04860057,0.8464844,0.0006163542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1927959,0.02676558,0.5093269,0.08248696,0.007211896,0.0288207,0.006253139,0.01169128,0.1346477],"genre_scores_gemma":[0.2409809,0.02662728,0.6479187,0.01893263,0.002091201,0.0337053,0.002319438,0.0006773736,0.02674718],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9988195,"threshold_uncertainty_score":0.08131301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814737593895011,"score_gpt":0.2978511384658232,"score_spread":0.2597037625268731,"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."}}