{"id":"W4251431993","doi":"10.2196/preprints.13847","title":"Health Care Professionals’ Clinical Perspectives & Satisfaction with a Blood Glucose Meter and Mobile App featuring a Dynamic Color Range Indicator and Blood Sugar Mentor: Online Evaluation in the United Kingdom, France, Germany, India, Algeria, Canada and the United States (Preprint)","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Diabetes Management and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Glycemic; Glucose meter; Health care; Family medicine; Medical education; Diabetes mellitus; Endocrinology; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.008041088,0.0001682955,0.000407501,0.0006856573,0.001131856,0.002009235,0.0002605618,0.0006980813,0.00465614],"category_scores_gemma":[0.02189084,0.0002731531,0.0009072307,0.000825669,0.00065191,0.001033369,0.001250809,0.0009056308,0.0006367945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581312,"about_ca_system_score_gemma":0.002110255,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01737299,"about_ca_topic_score_gemma":0.02668192,"domain_scores_codex":[0.9946001,0.002746605,0.0005362924,0.0003154357,0.0009219293,0.000879639],"domain_scores_gemma":[0.9773024,0.009638698,0.004108128,0.0003700476,0.005039283,0.003541405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001212169,0.002318306,0.8783416,0.0004590371,0.0001431722,0.0004067608,0.06038367,0.0001244354,0.0006303075,0.00008626088,0.005874069,0.05002027],"study_design_scores_gemma":[0.0002202856,0.004084416,0.883194,0.000253625,0.0001030172,0.0002465621,0.1061154,0.0003701891,0.0004874323,0.00003165779,0.004828273,0.00006511952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975795,0.00012344,0.0000505659,0.0004323244,0.00002005965,0.00008965974,0.0002186159,0.000005097452,0.001480694],"genre_scores_gemma":[0.9976555,0.0001999256,0.0002756662,0.0006180984,0.00001990352,0.0001652527,0.0001778796,0.000005287631,0.0008824709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.982627,"threshold_uncertainty_score":0.04252583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129424496671593,"score_gpt":0.3533952612078866,"score_spread":0.3321010162411707,"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."}}