{"id":"W2948714045","doi":"10.2196/13847","title":"Health Care Professionals’ Clinical Perspectives and Acceptance of a Blood Glucose Meter and Mobile App Featuring a Dynamic Color Range Indicator and Blood Sugar Mentor: Online Evaluation in Seven Countries","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Diabetes Management and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Glycemic; Glucose meter; Diabetes mellitus; Blood sugar; Family medicine; Computer-assisted web interviewing; Health care; Nursing; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.01257525,0.0004660437,0.0007468338,0.001310618,0.001727345,0.001575915,0.0004400384,0.000985618,0.002474331],"category_scores_gemma":[0.0184405,0.0006678085,0.001293603,0.001271207,0.001507916,0.001243982,0.002684211,0.001227655,0.0004314842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997867,"about_ca_system_score_gemma":0.002458176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006559459,"about_ca_topic_score_gemma":0.008534919,"domain_scores_codex":[0.9936835,0.003285296,0.0006701094,0.0004557038,0.000864386,0.001041114],"domain_scores_gemma":[0.9808054,0.007708912,0.003242351,0.0005923344,0.004473655,0.003177374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002339917,0.007168143,0.8587941,0.0006361527,0.0001780994,0.0006660881,0.08763884,0.0001978456,0.0009825925,0.0001048121,0.001451711,0.03984167],"study_design_scores_gemma":[0.0007447578,0.01197909,0.8747131,0.0002858718,0.0001732773,0.0004259394,0.107284,0.00059975,0.001027982,0.00006196282,0.002616719,0.00008750066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989917,0.00005354217,0.00005122627,0.00006201282,0.000005086581,0.0002370179,0.0001020882,0.000003120299,0.0004942184],"genre_scores_gemma":[0.998262,0.0001749318,0.0004634879,0.0001961598,0.000008685111,0.0004897621,0.0001779487,0.000004599757,0.0002224378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257525,"threshold_uncertainty_score":0.06650507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925298441318775,"score_gpt":0.382923544397397,"score_spread":0.3636705599842092,"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."}}