{"id":"W2592326641","doi":"10.17269/cjph.107.5679","title":"Immunization information systems in Canada: Attributes, functionality, strengths and challenges. A Canadian Immunization Research Network study","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Manitoba; University of Toronto; Hospital for Sick Children; Public Health Ontario; BC Centre for Disease Control; University of British Columbia; University of Alberta; Public Health Agency of Canada; Toronto Public Health","funders":"Canadian Institutes of Health Research; Canadian Immunization Research Network","keywords":"Immunization; Data science; Computer science; Medicine; Immunology; Antibody","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01142192,0.00008627265,0.0002260596,0.0008210125,0.001075459,0.0002165737,0.0002783175,0.00007707399,0.00007999356],"category_scores_gemma":[0.002694286,0.00007575373,0.00001560462,0.0009688052,0.00003016626,0.001299427,0.00001578105,0.0002756469,0.000003637517],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01059873,"about_ca_system_score_gemma":0.1237464,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99968,"about_ca_topic_score_gemma":0.9999936,"domain_scores_codex":[0.9960484,0.001635703,0.000663558,0.0001004051,0.0005428786,0.00100909],"domain_scores_gemma":[0.9960148,0.0003919152,0.0002735913,0.000156078,0.001276045,0.001887578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003960065,0.00001609679,0.8205806,0.00003761302,0.00003038414,0.00002655602,0.01328866,0.0001063809,5.986404e-8,0.03795343,0.01510553,0.1128508],"study_design_scores_gemma":[0.0003985327,0.00009313041,0.5975301,0.0001077727,0.000001733796,0.000007328304,0.02985421,0.00001506025,1.306536e-8,0.0001362842,0.3717832,0.00007266639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6749285,0.03908935,0.0004252214,0.2778257,0.002493591,0.001570598,0.0001298824,0.00001350409,0.003523641],"genre_scores_gemma":[0.9941885,0.005124088,0.000007993668,0.0002598652,0.0003335731,0.000005979381,0.00001308893,0.000007350588,0.00005956425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3566777,"threshold_uncertainty_score":0.9931994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286823502741137,"score_gpt":0.3363959660252814,"score_spread":0.2077136157511677,"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."}}