{"id":"W2892190501","doi":"10.23889/ijpds.v3i4.1025","title":"Mining Twitter data to #educate the public about #sepsis","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Sepsis; Medicine; Septic shock; Intensive care medicine; Internal medicine","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":[0.001158757,0.0007566783,0.0003771598,0.004033633,0.0006008158,0.001467195,0.0004598757,0.000766208,0.007007829],"category_scores_gemma":[0.00943785,0.0001578012,0.0005343757,0.003138202,0.0001698044,0.001512382,0.001048027,0.000706479,0.006598609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005585523,"about_ca_system_score_gemma":0.0006611985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787349,"about_ca_topic_score_gemma":0.004810438,"domain_scores_codex":[0.9990013,0.0002978845,0.0001613396,0.0001739682,0.0002555897,0.0001099057],"domain_scores_gemma":[0.9960783,0.001855801,0.0006790101,0.0003286862,0.0008727331,0.0001854505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000818698,0.0005301498,0.1891403,0.002645685,0.0002355137,0.0006020221,0.002270026,0.005072559,0.007847514,0.003249684,0.2320884,0.5554994],"study_design_scores_gemma":[0.0001662468,0.000985872,0.27293,0.001274466,0.0003900081,0.0007293675,0.01368594,0.1744612,0.01960274,0.014071,0.5014963,0.0002068422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5074197,0.0026225,0.03919232,0.02015572,0.002131706,0.002919141,0.3776422,0.006758521,0.04115822],"genre_scores_gemma":[0.6924351,0.001890741,0.08542658,0.002184986,0.001405647,0.002378439,0.1997977,0.0003706972,0.01411011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007007829,"threshold_uncertainty_score":0.02344358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5336464602701756,"score_gpt":0.5677336899946666,"score_spread":0.03408722972449096,"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."}}