{"id":"W2250240387","doi":"","title":"How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter","year":2013,"lang":"en","type":"article","venue":"Recent Advances in Natural Language Processing","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Ottawa","funders":"","keywords":"WordNet; Computer science; Social media; World Wide Web; Ontology; The Internet; Personally identifiable information; Information retrieval; Internet privacy; Information extraction; Health information; Data science; Health care; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001735812,0.0001712714,0.000309654,0.0002752988,0.0002550913,0.0008821737,0.0002725445,0.00004102422,0.0000271111],"category_scores_gemma":[0.0009508833,0.0001140833,0.00003585548,0.0004135398,0.00006165789,0.004157146,0.00009845287,0.0001890518,0.00001024595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192011,"about_ca_system_score_gemma":0.00006683783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002796896,"about_ca_topic_score_gemma":0.0001273266,"domain_scores_codex":[0.9979951,0.0001255873,0.0005330321,0.0003404223,0.0005920284,0.0004138769],"domain_scores_gemma":[0.9987092,0.0003879252,0.0005001129,0.0001547928,0.0001449582,0.0001029966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003243392,0.0000161524,0.0001305994,0.0001982371,0.000002236499,3.22489e-7,0.01779276,0.000007324417,0.000006070286,0.00005438141,0.002273769,0.9794857],"study_design_scores_gemma":[0.001531285,0.0003173013,0.003142123,0.0008952974,0.000003335194,0.000009508195,0.1289005,0.0317594,0.0001187514,0.002140239,0.8307087,0.0004734997],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.319914,0.4678303,0.03053282,0.1726304,0.002264407,0.004524616,0.0002345318,0.0002456961,0.001823219],"genre_scores_gemma":[0.9751705,0.002709754,0.008029607,0.01315012,0.000141287,0.00007683662,0.0001572705,0.00001114005,0.0005534829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9790122,"threshold_uncertainty_score":0.8506821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06336643424205922,"score_gpt":0.4017052128905336,"score_spread":0.3383387786484743,"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."}}