{"id":"W3000286815","doi":"","title":"Can We Stop Measles?: Measles surveillance in Canada: 2015","year":2016,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Measles; Agency (philosophy); Public health; Environmental health; Medicine; Virology; Political science; Vaccination; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159582,0.000563793,0.0003689131,0.002752806,0.001988313,0.001629655,0.00160705,0.0007339155,0.003442065],"category_scores_gemma":[0.004284536,0.0003126516,0.0005600223,0.005317481,0.0005916728,0.0005665648,0.001222049,0.001241328,0.0004630946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06765451,"about_ca_system_score_gemma":0.1644827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978125,"about_ca_topic_score_gemma":0.9983869,"domain_scores_codex":[0.9979703,0.00009966936,0.0001628032,0.0001684448,0.001032062,0.0005667424],"domain_scores_gemma":[0.992928,0.00009843799,0.0005302601,0.00006716832,0.004771056,0.001604976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002307723,0.0001184846,0.648293,0.001162777,0.0002622643,0.0002180905,0.0008401374,0.001195268,0.0006981653,0.001499474,0.2396716,0.10581],"study_design_scores_gemma":[0.00003041557,0.00004157323,0.9473072,0.0007437867,0.00008140979,0.00009056438,0.0009016339,0.001187559,0.0003719575,0.0001459413,0.04906385,0.00003415962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.382034,0.07651885,0.002935434,0.1085584,0.001935757,0.001147015,0.3617678,0.001346874,0.06375579],"genre_scores_gemma":[0.8732407,0.03000501,0.004450423,0.008365036,0.0003363638,0.0002153257,0.06871726,0.0001001077,0.01456977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06765451,"threshold_uncertainty_score":0.4908701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183390363673047,"score_gpt":0.2635797816334513,"score_spread":0.2417458779967208,"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."}}