{"id":"W3199611285","doi":"10.2196/30605","title":"A Program to Improve Digital Access and Literacy Among Community Stakeholders: Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; National Center for Advancing Translational Sciences; Johns Hopkins University; Gordon and Betty Moore Foundation; Robert Wood Johnson Foundation","keywords":"Medical education; Focus group; Psychology; Test (biology); Likert scale; Community engagement; Literacy; Public relations; Medicine; Business; Pedagogy; Political science; Marketing","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":[0.003075164,0.0006863873,0.0005272022,0.001658087,0.004003469,0.001434835,0.0008599702,0.001230751,0.003952583],"category_scores_gemma":[0.004570292,0.0008218036,0.001141687,0.001199326,0.0005863394,0.001988245,0.002480291,0.001705705,0.001324703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543175,"about_ca_system_score_gemma":0.005120519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03046925,"about_ca_topic_score_gemma":0.03215118,"domain_scores_codex":[0.9985113,0.0003989229,0.0000921916,0.0002321424,0.0001947082,0.0005706867],"domain_scores_gemma":[0.9970913,0.0002370049,0.0003143238,0.0003162328,0.0004627978,0.00157828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001800734,0.02264722,0.8995812,0.0002555866,0.0001385515,0.001664596,0.02150135,0.00007776276,0.001664346,0.0002998337,0.00346434,0.0469045],"study_design_scores_gemma":[0.001217586,0.02141922,0.9275867,0.0003628736,0.0002105516,0.0009637066,0.03712381,0.0005840818,0.0007782194,0.0003760191,0.009244937,0.0001324276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957635,0.00009007596,0.0002863889,0.0001924338,0.00002656816,0.001955048,0.0005944988,0.00001796071,0.001073427],"genre_scores_gemma":[0.9898521,0.0003343281,0.001560095,0.0005965798,0.00005853274,0.004546069,0.0008161794,0.00002084421,0.002215242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03046925,"threshold_uncertainty_score":0.06058377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2362070853191712,"score_gpt":0.5653080239639643,"score_spread":0.3291009386447931,"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."}}