{"id":"W3120982506","doi":"10.1109/comnet47917.2020.9306071","title":"Diabetes Analytics and Recommendation Engine (DARE)","year":2020,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Context (archaeology); Computer science; Diabetes mellitus; Analytics; Architecture; Anomaly detection; Modular design; Data science; Medicine; Artificial intelligence","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":[0.001714318,0.0008357363,0.0009955586,0.002314175,0.0003224786,0.001580132,0.001678248,0.001187778,0.005151181],"category_scores_gemma":[0.004426602,0.0004735538,0.0008400069,0.001666259,0.0001289017,0.001253502,0.001003978,0.001483465,0.004103977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460769,"about_ca_system_score_gemma":0.0008583602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007797111,"about_ca_topic_score_gemma":0.01007305,"domain_scores_codex":[0.9990742,0.0001130763,0.0001456039,0.0002079348,0.0003791318,0.0000800382],"domain_scores_gemma":[0.9980966,0.0006197012,0.000125692,0.0004319434,0.0005710068,0.0001550367],"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":[0.000936333,0.001206995,0.03045407,0.001004885,0.0008991849,0.0007308035,0.0002195664,0.0217733,0.01200501,0.01075685,0.1076558,0.8123572],"study_design_scores_gemma":[0.0004155776,0.0006589941,0.01886452,0.0003463093,0.0005433335,0.00167892,0.0002011991,0.6789087,0.04221169,0.01738269,0.2384869,0.0003011683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04789341,0.005678387,0.7489741,0.004477692,0.0008576806,0.001778901,0.03062451,0.1312589,0.02845653],"genre_scores_gemma":[0.3359236,0.004959056,0.5783767,0.003656427,0.0002974209,0.0005776872,0.05512128,0.0009777973,0.02011008],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.007797111,"threshold_uncertainty_score":0.01723242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2481330447985177,"score_gpt":0.4774274551418052,"score_spread":0.2292944103432876,"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."}}