{"id":"W2762914390","doi":"10.1109/mitp.2017.3680958","title":"Managing Diabetes Therapy through Datastream Mining","year":2017,"lang":"en","type":"article","venue":"IT Professional","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Diabetes mellitus; Computer science; Business; 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":[0.002045413,0.0009795228,0.0009793596,0.001908978,0.0005164224,0.002018475,0.001792657,0.0007562239,0.0008581693],"category_scores_gemma":[0.01089498,0.000360338,0.0005963919,0.002403199,0.0002739924,0.001749366,0.0009519962,0.001042932,0.0006186875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006125193,"about_ca_system_score_gemma":0.001089496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003354457,"about_ca_topic_score_gemma":0.003459353,"domain_scores_codex":[0.9986332,0.0003081688,0.0002595581,0.0002573123,0.0004872844,0.00005451753],"domain_scores_gemma":[0.9942279,0.002821251,0.0005731866,0.001124474,0.001109718,0.0001435477],"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":[0.0009045721,0.0008017016,0.02045021,0.0003815542,0.0002348951,0.0007071767,0.0004687236,0.1693514,0.01091357,0.005771684,0.01072518,0.7792894],"study_design_scores_gemma":[0.00004623708,0.000106732,0.001789954,0.00004313149,0.00005895691,0.0002455318,0.0001544212,0.9695171,0.0136219,0.008310717,0.006079766,0.00002560533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1158792,0.001460189,0.8609194,0.002246658,0.0002296965,0.0007811337,0.002925116,0.01064016,0.004918554],"genre_scores_gemma":[0.5000734,0.0009867685,0.4933381,0.0003326378,0.0000698798,0.0003957958,0.003490874,0.0001655994,0.001146976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003354457,"threshold_uncertainty_score":0.01081729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06114423355760439,"score_gpt":0.3581597970469284,"score_spread":0.297015563489324,"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."}}