{"id":"W2780161841","doi":"10.1007/978-3-662-56291-8_8","title":"Blood Glucose Monitoring Frequency Evaluation","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Diabetes Management and Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Oversampling; Representation (politics); Medicine; Computer science; Telecommunications","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":[0.0006097244,0.0006930468,0.0004690349,0.001465792,0.0001945677,0.00135724,0.0006691071,0.0004616512,0.01324171],"category_scores_gemma":[0.00143181,0.000205107,0.0002626241,0.001132133,0.0001496685,0.0007131086,0.0004519797,0.0004720495,0.009382808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004133979,"about_ca_system_score_gemma":0.0002989011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284912,"about_ca_topic_score_gemma":0.001850268,"domain_scores_codex":[0.9994627,0.00005210106,0.00002197656,0.00007840413,0.0003603938,0.00002446944],"domain_scores_gemma":[0.9994643,0.0001325779,0.00003379246,0.00004999339,0.0002966275,0.00002254522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009424592,0.00003176796,0.0009895815,0.00009677181,0.00001379706,0.00005561304,0.00002325409,0.001056832,0.005154194,0.003027149,0.0436111,0.9458458],"study_design_scores_gemma":[0.00004717,0.0004204878,0.02462573,0.0007640687,0.0001838945,0.002489035,0.0002116062,0.09587729,0.07753143,0.02731357,0.7703696,0.0001661762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02109709,0.02384331,0.5580269,0.002623596,0.003091796,0.0002469179,0.002371453,0.01034911,0.3783498],"genre_scores_gemma":[0.2139827,0.02543716,0.239412,0.001851571,0.002532286,0.000220063,0.004905098,0.001634359,0.5100248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01324171,"threshold_uncertainty_score":0.04429793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290437450340645,"score_gpt":0.337077021527658,"score_spread":0.2080332764935935,"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."}}