{"id":"W2917165792","doi":"10.2196/10992","title":"Impact of New Technologies for Middle-Aged and Older Patients: In-Depth Interviews With Type 2 Diabetes Patients Using Continuous Glucose Monitoring","year":2019,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycated hemoglobin; Medicine; Diabetes mellitus; Type 1 diabetes; Feeling; Diabetes management; Continuous glucose monitoring; Blood glucose monitoring; Blood Glucose Self-Monitoring; Type 2 diabetes; Self-monitoring; Physical therapy; Psychology; Social psychology","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":[0.004650329,0.0005653315,0.0006526355,0.000704261,0.003766591,0.001949065,0.0006399076,0.001257832,0.001653872],"category_scores_gemma":[0.007820268,0.000578697,0.0005639836,0.0004399112,0.001489561,0.001526267,0.002534339,0.002152345,0.0001983201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002148946,"about_ca_system_score_gemma":0.002166465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006399471,"about_ca_topic_score_gemma":0.01340493,"domain_scores_codex":[0.9971666,0.001860932,0.0001256031,0.0001144386,0.0001510297,0.0005812724],"domain_scores_gemma":[0.9945957,0.002710059,0.0007947826,0.0001021545,0.0003475012,0.001449806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002314335,0.0005703748,0.04388879,0.0002107073,0.0000229928,0.00142485,0.9428191,0.0000822644,0.002202865,0.0001228303,0.0007737985,0.007650143],"study_design_scores_gemma":[0.00003923391,0.001053172,0.03146494,0.0001099045,0.00002436189,0.0004867785,0.962469,0.0001728605,0.00038363,0.00007155531,0.003690032,0.0000344339],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985844,0.0002336215,0.0001261685,0.0004402432,0.00001647925,0.0001017009,0.00002759672,0.00000375989,0.0004660159],"genre_scores_gemma":[0.998098,0.000476149,0.0003423971,0.0005775946,0.00001753239,0.0001364795,0.00002280858,0.000002439197,0.0003267073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006399471,"threshold_uncertainty_score":0.02459353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03022444248443412,"score_gpt":0.3142117864701716,"score_spread":0.2839873439857374,"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."}}