{"id":"W2804894071","doi":"10.5210/ojphi.v10i1.8987","title":"A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of New Brunswick","funders":"Bill and Melinda Gates Foundation","keywords":"Interoperability; Computer science; Malaria; Metadata; Data science; Semantic interoperability; Data integration; Disease surveillance; Process management; Risk analysis (engineering); Data mining; World Wide Web; Medicine; Business; Disease","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":[0.02581069,0.00156286,0.001329715,0.00660808,0.00382714,0.008420121,0.003999106,0.004019304,0.002098605],"category_scores_gemma":[0.01919116,0.001297482,0.006091618,0.003965186,0.005466798,0.01806026,0.01452876,0.004690325,0.0007671619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004777303,"about_ca_system_score_gemma":0.01048864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02796597,"about_ca_topic_score_gemma":0.02133105,"domain_scores_codex":[0.9839675,0.00593008,0.003059507,0.002096857,0.003784765,0.001161425],"domain_scores_gemma":[0.9875656,0.004393217,0.001007297,0.003168857,0.002984367,0.0008806802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002054745,0.000381663,0.003564987,0.0007046867,0.0002821971,0.001195618,0.003702407,0.05191646,0.005837575,0.83856,0.008355093,0.08529387],"study_design_scores_gemma":[0.0001132609,0.0001715814,0.001161053,0.0007604327,0.0003879322,0.0005962765,0.001765161,0.2962399,0.008084685,0.5101151,0.180422,0.0001826524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006106423,0.0004981622,0.9822597,0.0024477,0.0001602245,0.0005841584,0.0004275561,0.002959671,0.004556441],"genre_scores_gemma":[0.08503111,0.000793778,0.9079841,0.0007614366,0.0001311353,0.0005240899,0.002344964,0.0004752627,0.001954191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02796597,"threshold_uncertainty_score":0.1365016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05504119652487432,"score_gpt":0.3388633850165383,"score_spread":0.283822188491664,"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."}}