{"id":"W2901391951","doi":"10.1080/21645515.2018.1546526","title":"Are we speaking the same language? an argument for the consistent use of terminology and definitions for childhood vaccination indicators","year":2018,"lang":"en","type":"article","venue":"Human Vaccines & Immunotherapeutics","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Health; Ministry of Health; University of Calgary; University of Alberta","funders":"","keywords":"Vaccination; Terminology; Argument (complex analysis); Psychology; Medicine; Actuarial science; Immunology; Linguistics; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003783692,0.0001364897,0.0001875139,0.0001011368,0.00156008,0.0001283746,0.0002933827,0.00008882453,0.00009817116],"category_scores_gemma":[0.0001038464,0.00009017999,0.00009756965,0.0001448705,0.00006617161,0.0001870993,0.00003806904,0.00008455818,0.000001283325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000385828,"about_ca_system_score_gemma":0.00005426581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001614852,"about_ca_topic_score_gemma":0.005576849,"domain_scores_codex":[0.9990094,0.0001132818,0.000300751,0.0001893308,0.0001220223,0.0002652102],"domain_scores_gemma":[0.9983819,0.0006612879,0.000391436,0.0003416686,0.000194149,0.00002958066],"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":[0.0004131281,0.001130117,0.1440648,0.0001731578,0.001143111,0.00000232391,0.2908795,0.00001411978,0.00280538,0.2302641,0.002614898,0.3264954],"study_design_scores_gemma":[0.002655365,0.0006475416,0.8003276,0.00008591844,0.0005058346,0.000005969495,0.03476249,0.0001024194,0.001092266,0.01243656,0.1470194,0.0003585821],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887009,0.002940279,0.0009491103,0.005544259,0.0002526921,0.001388143,0.00005127631,0.00004855976,0.0001247681],"genre_scores_gemma":[0.9968792,0.0008255274,0.0003151843,0.00127912,0.0004014494,0.0001061492,0.00001195083,0.00002451491,0.000156954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6562629,"threshold_uncertainty_score":0.9997398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192142760285588,"score_gpt":0.3561991598330667,"score_spread":0.2369848838045079,"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."}}