{"id":"W2947359230","doi":"10.2196/13635","title":"Designing and Evaluating a Personalized, Human-Centered Dietary Decision Support System for Use Among People With Diabetes in an Indian Setting: Protocol for a Quasi-Experimental Study","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Population; Randomized controlled trial; Intervention (counseling); Gerontology; Decision support system; Clinical decision support system; Family medicine; Nursing; Environmental health; Computer science","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":[0.02501398,0.00259354,0.003704304,0.001566211,0.004910995,0.001910571,0.003289609,0.003600013,0.02496755],"category_scores_gemma":[0.01953883,0.002208617,0.003737511,0.001255307,0.002954533,0.001840182,0.002074487,0.005083287,0.003311259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696811,"about_ca_system_score_gemma":0.01577434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002389885,"about_ca_topic_score_gemma":0.004640433,"domain_scores_codex":[0.9869909,0.007322859,0.001645217,0.001140326,0.001261738,0.001638959],"domain_scores_gemma":[0.9878674,0.00367864,0.001553483,0.001709132,0.003438133,0.001753262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2238069,0.503263,0.009564546,0.02867075,0.001278653,0.001386728,0.01537742,0.00633427,0.01491709,0.006101456,0.01700382,0.1722953],"study_design_scores_gemma":[0.3775935,0.4815316,0.0325908,0.005967893,0.00142818,0.0002181473,0.009347809,0.004030535,0.007563505,0.005213809,0.07395473,0.0005596249],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.02196972,0.00007201668,0.00217193,0.0001254167,0.0001104954,0.974436,0.0004057165,0.00003168582,0.0006770725],"genre_scores_gemma":[0.004735064,0.00005934642,0.004694689,0.00009264649,0.0000162459,0.9900855,0.00007298913,0.000002005625,0.0002415652],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.02501398,"threshold_uncertainty_score":0.1322882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4144164281340041,"score_gpt":0.6379564647220888,"score_spread":0.2235400365880846,"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."}}