{"id":"W2751791131","doi":"10.1016/j.vaccine.2017.08.072","title":"Determinants of under-immunization and cumulative time spent under-immunized in a Quebec cohort","year":2017,"lang":"en","type":"article","venue":"Vaccine","topic":"Vaccine Coverage and Hesitancy","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; McGill University; Université de Montréal; McGill University Health Centre","funders":"McGill University","keywords":"Medicine; Immunization; Vaccination; Pediatrics; Logistic regression; Cohort; Immunology; Internal medicine; Antibody","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0004635206,0.0001013072,0.0002904279,0.0000949008,0.000424307,0.0000863978,0.0002861577,0.00008304986,0.0002627079],"category_scores_gemma":[0.0002249697,0.00009754336,0.00003286733,0.0001124385,0.00001423303,0.0004561794,0.0001200916,0.00008004799,0.0000220225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008957997,"about_ca_system_score_gemma":0.000119319,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07039689,"about_ca_topic_score_gemma":0.2012281,"domain_scores_codex":[0.9990721,0.0001247354,0.000274756,0.0001682873,0.0001631526,0.000197007],"domain_scores_gemma":[0.9991347,0.000103725,0.0002512019,0.0003708022,0.00008831423,0.00005122415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006592389,0.00007166036,0.9890186,0.00001256171,0.00001798616,0.000006536813,0.003095013,0.00002205044,0.0007255032,0.0027109,0.0001200778,0.004133163],"study_design_scores_gemma":[0.00116667,0.00003803366,0.9943455,0.00008730722,0.0000197116,6.08573e-7,0.000684645,0.0003584674,0.0003995637,0.002431095,0.0003536107,0.0001147299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945682,0.0002435724,0.00004898078,0.0009657959,0.00006715888,0.0003056742,0.000002416357,0.00001696825,0.003781283],"genre_scores_gemma":[0.9938754,0.0003934666,0.00007170526,0.0000454595,0.0000464535,0.000004645408,0.000004403426,0.00001023193,0.005548245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1308312,"threshold_uncertainty_score":0.9357934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598102401990068,"score_gpt":0.325323339881319,"score_spread":0.2993423158614183,"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."}}