{"id":"W2890205989","doi":"10.23889/ijpds.v3i4.1028","title":"Using Linked Data and Advanced Analytics to Prioritize Health Concerns within Regions","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Data science; Population; Computer science; Health indicator; Public health; Decision support system; Population health; Analytics; Disease surveillance; Data mining; Environmental health; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00480876,0.0009211786,0.0004406817,0.005819524,0.0008893967,0.006330424,0.001355923,0.000726446,0.004581787],"category_scores_gemma":[0.01714345,0.0003567677,0.001143201,0.005298709,0.0007140788,0.003853776,0.00374499,0.00104933,0.0009432197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072684,"about_ca_system_score_gemma":0.003168308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254309,"about_ca_topic_score_gemma":0.02896274,"domain_scores_codex":[0.9963405,0.001462554,0.0003308796,0.0006064491,0.001105454,0.0001541738],"domain_scores_gemma":[0.9911205,0.004242748,0.001034076,0.001421137,0.001807548,0.0003739829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003598712,0.0005078493,0.09171098,0.001162324,0.0006153153,0.0006769073,0.0037812,0.1731552,0.008346928,0.1123547,0.03949637,0.5678324],"study_design_scores_gemma":[0.00009430721,0.0001231169,0.01656956,0.0005227542,0.0001923105,0.0001794113,0.003061362,0.7248529,0.01413553,0.1261062,0.1139572,0.0002052957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1163201,0.001084066,0.8205044,0.009445666,0.0003095712,0.0007404905,0.01302306,0.01602731,0.02254538],"genre_scores_gemma":[0.3632716,0.0006811693,0.6217939,0.0006334409,0.0001056193,0.0003425016,0.01020963,0.0005346421,0.002427493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02254309,"threshold_uncertainty_score":0.04482371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2669284483601198,"score_gpt":0.5166225883596763,"score_spread":0.2496941399995565,"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."}}