{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171994,0.0004169996,0.0003398897,0.004649482,0.0008643738,0.001150161,0.00044038,0.0009189016,0.001359244],"category_scores_gemma":[0.006165479,0.0002469923,0.0005171373,0.004687574,0.0004216931,0.002413569,0.0008125749,0.000597552,0.0009457294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005411186,"about_ca_system_score_gemma":0.0005099008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006841688,"about_ca_topic_score_gemma":0.01639413,"domain_scores_codex":[0.9992021,0.0001688539,0.0001405571,0.0001665304,0.0002207424,0.0001012537],"domain_scores_gemma":[0.996446,0.001938569,0.000833629,0.0002244253,0.0003882818,0.0001691798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008416607,0.0005321811,0.7151824,0.001243806,0.0003599966,0.002909599,0.007953608,0.005080105,0.0183055,0.004734932,0.02782689,0.2150293],"study_design_scores_gemma":[0.00006181645,0.0003199388,0.7398688,0.0004049175,0.0003950505,0.003163397,0.0246191,0.1116678,0.01258401,0.01340383,0.09334411,0.000167176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604774,0.001095726,0.01166066,0.003910153,0.0002082572,0.0002539318,0.01540136,0.0002292064,0.006763305],"genre_scores_gemma":[0.9548202,0.0009794009,0.02109396,0.0004560307,0.0003132616,0.0002555058,0.01788629,0.00005934925,0.004136072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006841688,"threshold_uncertainty_score":0.01360375,"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."}}