{"id":"W4214848861","doi":"10.1016/j.jcjd.2013.02.008","title":"Monitoring Glycemic Control","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Glycemic; Intensive care medicine; Control (management); Internal medicine; Artificial intelligence; Insulin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008554364,0.0005870512,0.0005902453,0.001333078,0.0004994341,0.001354451,0.0004447832,0.0004816458,0.003823892],"category_scores_gemma":[0.002844534,0.0001379697,0.0003499365,0.001679939,0.0001395824,0.0004942856,0.000374535,0.001104731,0.001269884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129583,"about_ca_system_score_gemma":0.001053059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01184451,"about_ca_topic_score_gemma":0.01261429,"domain_scores_codex":[0.9989791,0.0001955866,0.0001135676,0.0001811586,0.0004556056,0.00007496705],"domain_scores_gemma":[0.9985329,0.0003083539,0.0002934568,0.0001036873,0.0005577748,0.0002038666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001350928,0.0004757814,0.1812191,0.00031065,0.000214021,0.0002933936,0.0002200069,0.0002647621,0.00283376,0.001272228,0.05103727,0.760508],"study_design_scores_gemma":[0.0004532872,0.00174692,0.6633321,0.001747164,0.001039781,0.004598674,0.0005501074,0.005073594,0.01938899,0.005472531,0.2964334,0.0001634253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3918492,0.1335804,0.02222512,0.02298958,0.006297154,0.0007868835,0.01243241,0.00323525,0.406604],"genre_scores_gemma":[0.8899711,0.02992735,0.02323738,0.008850525,0.002227082,0.0004896153,0.005809991,0.0001589877,0.03932796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01184451,"threshold_uncertainty_score":0.02355117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340732685718974,"score_gpt":0.242289743635012,"score_spread":0.2288824167778223,"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."}}