{"id":"W4308773249","doi":"10.1007/s12020-022-03240-3","title":"Correction to: Making sense of diabetes medication decisions: a mixed methods cluster randomized trial using a conversation aid intervention","year":2022,"lang":"en","type":"erratum","venue":"Endocrine","topic":"Diabetes Management and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Conversation; Randomized controlled trial; Diabetes mellitus; Intervention (counseling); Cluster (spacecraft); Cluster randomised controlled trial; Medicine; Psychology; Family medicine; Computer science; Physical therapy; Nursing; Internal medicine; Communication","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":[0.0266601,0.003905443,0.004996293,0.002478804,0.004284569,0.005645093,0.004326526,0.01136094,0.0867008],"category_scores_gemma":[0.2573812,0.002478063,0.003491739,0.002675183,0.003437209,0.002473831,0.002132484,0.01629616,0.0207967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009164456,"about_ca_system_score_gemma":0.01962671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03548221,"about_ca_topic_score_gemma":0.04732342,"domain_scores_codex":[0.9758503,0.01036831,0.004554979,0.002231167,0.005539957,0.001455231],"domain_scores_gemma":[0.8742238,0.07107192,0.006732931,0.00484006,0.03788415,0.005247071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005317352,0.00002380807,0.0000904919,0.0008460109,0.00007634053,0.00007755677,0.00003195396,0.00002767609,0.00001640854,0.0002813037,0.995508,0.002488704],"study_design_scores_gemma":[0.02250303,0.0005550943,0.004891158,0.01204927,0.002402281,0.0006424577,0.0006890363,0.001356541,0.0007659863,0.005479632,0.9483278,0.0003377075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002492031,0.001548148,0.0005295713,0.1105001,0.8811959,0.0005760147,0.003814359,0.0002823763,0.001304386],"genre_scores_gemma":[0.02137783,0.007579044,0.01100734,0.5666167,0.2843065,0.0156485,0.003319418,0.001460953,0.08868382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0867008,"threshold_uncertainty_score":0.2900431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762655574462441,"score_gpt":0.3938555929104387,"score_spread":0.3562290371658143,"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."}}