{"id":"W2750859936","doi":"10.2196/humanfactors.7845","title":"Development of the Electronic Social Network Assessment Program Using the Center for eHealth and Wellbeing Research Roadmap","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"eHealth; Usability; Psychological intervention; Research center; Intervention (counseling); Web application; Computer science; Web 2.0; Key (lock); World Wide Web; The Internet; Process management; Knowledge management; Engineering; Medicine; Human–computer interaction; Nursing; Health care","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001073859,0.0001195356,0.0001575594,0.00004560261,0.003639786,0.0001711265,0.0005232694,0.00007422787,0.0000335476],"category_scores_gemma":[0.00001223228,0.00007552772,0.0001021147,0.00007189114,0.0003001246,0.00009367015,0.0002838905,0.0003603487,0.000002112033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003549577,"about_ca_system_score_gemma":0.0001661315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007811747,"about_ca_topic_score_gemma":0.0005560265,"domain_scores_codex":[0.9981533,0.0001858202,0.0003837806,0.0002400865,0.0002960444,0.000741007],"domain_scores_gemma":[0.9990815,0.00007568914,0.0003108371,0.0003931015,0.00007661369,0.00006226588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002196867,0.003799259,0.3854197,0.0008545798,0.0006164225,0.000001749891,0.0302004,0.000003502069,0.0003198081,0.3314104,0.01097567,0.2361789],"study_design_scores_gemma":[0.0006303597,0.0003590393,0.9390252,0.0001561943,0.000009877284,0.00000158016,0.001290099,0.00001757104,0.0001077002,0.004568214,0.0537189,0.0001152623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99318,0.00003022865,0.00004711108,0.0005572226,0.0005200888,0.002276378,0.00001489005,0.00002006261,0.003353988],"genre_scores_gemma":[0.9982823,3.090859e-7,0.0003846912,0.00003115599,0.0001635319,0.0004473405,0.00001128003,0.00002338789,0.0006559954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5536056,"threshold_uncertainty_score":0.9976574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2268196875641926,"score_gpt":0.5684088699708442,"score_spread":0.3415891824066516,"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."}}