{"id":"W2128468589","doi":"10.1001/archinternmed.2011.2038","title":"Estimating Influenza Vaccine Effectiveness in Community-Dwelling Elderly Patients Using the Instrumental Variable Analysis Method","year":2012,"lang":"en","type":"article","venue":"Archives of Internal Medicine","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Logistic regression; Odds ratio; Medicine; Vaccination; Observational study; Influenza vaccine; Pneumonia; Odds; Internal medicine; Demography; Immunology","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":[0.002518191,0.0002452574,0.000858576,0.0007901806,0.0002192805,0.000008589384,0.0003477019,0.00004625321,0.00005850466],"category_scores_gemma":[0.002210842,0.0001519155,0.0001456371,0.0008891828,0.000276412,0.0001839865,0.0003629904,0.0009454127,0.000001883912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136972,"about_ca_system_score_gemma":0.00004056019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007544347,"about_ca_topic_score_gemma":0.00005149521,"domain_scores_codex":[0.996815,0.001204934,0.000754344,0.0001812739,0.0005303583,0.0005140773],"domain_scores_gemma":[0.9952694,0.003700303,0.0002916559,0.000453951,0.0001243994,0.0001603592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00122626,0.0003956159,0.9591495,0.0004374267,0.001500347,0.00000436696,0.009173761,0.003036736,0.01194443,0.0001320092,0.000005027798,0.01299451],"study_design_scores_gemma":[0.00724321,0.001476304,0.9099708,0.003814821,0.001263864,0.00002971024,0.002645242,0.06664016,0.006003993,0.0005718136,0.0001328434,0.0002072397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413127,0.0006433937,0.05521082,0.00005319558,0.0001681909,0.0004870265,0.000008340995,0.00001667751,0.002099686],"genre_scores_gemma":[0.9569524,0.00001353344,0.0424237,0.000374265,0.0001690749,0.00002140584,0.00001213991,0.00002244832,0.0000110653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06360342,"threshold_uncertainty_score":0.9990645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06300985706577905,"score_gpt":0.4187030831605252,"score_spread":0.3556932260947462,"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."}}