{"id":"W2288915740","doi":"10.4236/etsn.2016.51001","title":"Mobile EMR Use for Epidemiological Surveillance on a Medical Service Trip in Honduras: A Pilot Study","year":2016,"lang":"en","type":"article","venue":"E-Health Telecommunication Systems and Networks","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Grand River Hospital","funders":"","keywords":"Epidemiology; Medicine; Medical diagnosis; Observational study; Medical record; Family medicine; Health care; Documentation; Pediatrics; Surgery; Pathology","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":[0.003881988,0.0006091575,0.0003966814,0.001412291,0.001077057,0.001035299,0.001141653,0.0008150864,0.001481627],"category_scores_gemma":[0.00842284,0.0004885047,0.0007636434,0.001089003,0.0007188325,0.001240908,0.001501898,0.0007889122,0.0005217651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228619,"about_ca_system_score_gemma":0.003333067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04270854,"about_ca_topic_score_gemma":0.05717184,"domain_scores_codex":[0.9974933,0.001225078,0.0002853689,0.0003158493,0.0003069406,0.0003735125],"domain_scores_gemma":[0.9919613,0.002002245,0.002594567,0.0008226537,0.0015949,0.001024421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003669884,0.003948369,0.9643842,0.0003254015,0.00006188903,0.0008072637,0.007152397,0.000229307,0.001261037,0.00003460764,0.0006363174,0.02079227],"study_design_scores_gemma":[0.0001371313,0.005804449,0.9849006,0.00009846299,0.00005713811,0.0003379332,0.006600486,0.0007887439,0.000287642,0.00002392438,0.0009360351,0.00002739705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962959,0.00005357949,0.0003545686,0.00008894239,0.000008178038,0.001972517,0.0006689974,0.00001815771,0.0005391476],"genre_scores_gemma":[0.9911232,0.000200216,0.00335629,0.0003083001,0.00003785711,0.003708674,0.0009459924,0.000008449609,0.0003110641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04270854,"threshold_uncertainty_score":0.08491993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0919961369887413,"score_gpt":0.3694428401840029,"score_spread":0.2774467031952615,"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."}}