{"id":"W2497779404","doi":"10.2196/resprot.5817","title":"Use of Relational Agents to Improve Family Communication in Type 1 Diabetes: Methods","year":2016,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Diabetes Management and Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Type 2 diabetes; Teamwork; Family conflict; Psychology; Medicine; Diabetes mellitus; Developmental 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":[0.0173895,0.001245439,0.0005523128,0.002098109,0.001821117,0.00135884,0.002026574,0.0007136253,0.01785766],"category_scores_gemma":[0.01573901,0.0007142502,0.001205478,0.0009152879,0.0008159649,0.001387902,0.002686429,0.0009370495,0.00118527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204167,"about_ca_system_score_gemma":0.005437701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841287,"about_ca_topic_score_gemma":0.004117928,"domain_scores_codex":[0.988934,0.008291241,0.0008245734,0.0008541716,0.0007798116,0.0003161668],"domain_scores_gemma":[0.9900776,0.006262619,0.0009678642,0.001131443,0.0009770194,0.0005835185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002786417,0.02402188,0.009776389,0.005967814,0.0001823709,0.0001897052,0.02546405,0.0007592947,0.002710036,0.003857166,0.004112282,0.9201726],"study_design_scores_gemma":[0.05154949,0.101968,0.2315965,0.01811302,0.005490153,0.002899799,0.07761936,0.01431571,0.05549706,0.02268113,0.4171446,0.00112521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.5508854,0.004878717,0.1496345,0.002271008,0.0004212014,0.2478239,0.001870823,0.0007441158,0.04147038],"genre_scores_gemma":[0.2418225,0.003715929,0.3272502,0.0005958308,0.0001253522,0.412043,0.0006331714,0.00008289432,0.01373118],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.01785766,"threshold_uncertainty_score":0.09196562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5188629755352362,"score_gpt":0.6139064262969331,"score_spread":0.09504345076169696,"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."}}