{"id":"W4206322279","doi":"10.2196/32369","title":"The Rapid Implementation of an Innovative Virtual Diabetes Boot Camp Program: Case Study","year":2022,"lang":"en","type":"article","venue":"JMIR Diabetes","topic":"Diabetes Management and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boot camp; Health care; Diabetes mellitus; Digital health; MEDLINE; Program evaluation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009320044,0.0001755351,0.0002586134,0.0002067562,0.0004998378,0.00006813688,0.0001493005,0.00002181793,0.0004536437],"category_scores_gemma":[0.00004132072,0.0001377709,0.00005942802,0.0009727407,0.00009902466,0.0002168936,0.000177833,0.0001940848,0.000006517635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009946919,"about_ca_system_score_gemma":0.0001007607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005059924,"about_ca_topic_score_gemma":0.00003272964,"domain_scores_codex":[0.9981821,0.0002262216,0.0004340171,0.0002968262,0.0004481693,0.0004126973],"domain_scores_gemma":[0.9988729,0.0001497932,0.0002601933,0.0004307665,0.0002081596,0.00007821204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002651245,0.002294451,0.5432166,0.00005262467,0.0003183342,0.0000289258,0.008561483,0.000003655135,0.001100541,0.0001080293,0.002576439,0.4417123],"study_design_scores_gemma":[0.004093179,0.02089206,0.5992839,0.00002406106,0.0003518182,0.000008860701,0.345622,0.0005403332,0.007285156,0.0001230396,0.021342,0.0004335944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952129,0.0001007874,2.036334e-7,0.0004415682,0.0003167288,0.003509201,0.0000211344,0.0001043673,0.0002931388],"genre_scores_gemma":[0.9952619,0.000002006521,0.00006397386,0.0002280048,0.0001314563,0.003816452,0.0002143082,0.00003071611,0.0002511744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4412788,"threshold_uncertainty_score":0.5618134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965950406479967,"score_gpt":0.354440434456942,"score_spread":0.3347809303921423,"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."}}