{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008052883,0.0005396447,0.00096785,0.004171391,0.007721423,0.005536829,0.002550468,0.0009271861,0.002459413],"category_scores_gemma":[0.02735606,0.0008543147,0.001202619,0.02217035,0.002400785,0.002505352,0.003230187,0.002670498,0.0002750997],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1382912,"about_ca_system_score_gemma":0.2238521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9987541,"about_ca_topic_score_gemma":0.9991702,"domain_scores_codex":[0.9892949,0.001050906,0.000994643,0.0006862166,0.005680116,0.002293104],"domain_scores_gemma":[0.9665595,0.00426093,0.005073224,0.0008276599,0.01756239,0.00571622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001135609,0.0001737249,0.972251,0.0002093373,0.000133237,0.00009404713,0.007629999,0.0001883036,0.00006354699,0.001028877,0.005086075,0.01302821],"study_design_scores_gemma":[0.00002073891,0.00005528503,0.9793906,0.0002453718,0.0001499414,0.00005385535,0.01474429,0.0005851412,0.00008126342,0.0001177704,0.004518974,0.00003663],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681486,0.003576342,0.0002044401,0.006333232,0.00004402591,0.0002623336,0.0118852,0.00002508164,0.009520727],"genre_scores_gemma":[0.9946313,0.001624942,0.000295777,0.0004550382,0.000009230447,0.00004617729,0.001909805,0.00001068827,0.001017004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382912,"threshold_uncertainty_score":0.99946,"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."}}