{"id":"W3048084554","doi":"10.29173/hsi294","title":"Digital health in a broadband land","year":2020,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Digital health; Digital divide; Psychological intervention; Health literacy; Health care; Digital literacy; Disadvantaged; Literacy; Information and Communications Technology; The Internet; Business; Internet privacy; Public relations; Knowledge management; Computer science; Economic growth; Political science; World Wide Web; Medicine; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001689165,0.000100651,0.0002375213,0.0001889858,0.000946436,0.0002171922,0.0007190334,0.00007004396,0.00002813365],"category_scores_gemma":[0.0006414983,0.0001000716,0.00002601894,0.002001777,0.002213065,0.0008231162,0.0001267843,0.000296311,0.0001119859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100014,"about_ca_system_score_gemma":0.003676274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752987,"about_ca_topic_score_gemma":0.0008588857,"domain_scores_codex":[0.9974949,0.00005728961,0.0003354934,0.0004120655,0.0006212255,0.001079],"domain_scores_gemma":[0.9987744,0.00002570415,0.0001617165,0.0001787435,0.00004386613,0.0008155593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003262881,0.0001607319,0.6626663,0.00007723977,0.000001638953,0.00001154854,0.05876753,0.00001078054,0.00001376536,0.002163656,0.022677,0.2534173],"study_design_scores_gemma":[0.001996315,0.0009792319,0.8156343,0.0003732442,0.000001173637,0.00001213234,0.03105781,0.0004297133,0.00004290802,0.001984413,0.1468651,0.0006236727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5783928,0.0005658229,0.0002395082,0.4107836,0.0008578213,0.0007893809,0.00001102897,0.0004033245,0.007956769],"genre_scores_gemma":[0.977493,0.0001712818,0.0002259356,0.02181634,0.0001826379,0.000003913896,0.000001369542,0.000007003316,0.00009846778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3991003,"threshold_uncertainty_score":0.8154131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08618958343650988,"score_gpt":0.4108960266259249,"score_spread":0.3247064431894151,"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."}}