{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149976,0.0001746059,0.000212918,0.001259723,0.003275813,0.007921324,0.0004021238,0.002225966,0.03375899],"category_scores_gemma":[0.002510256,0.0001306443,0.0002437989,0.001194211,0.00570968,0.008004645,0.006085682,0.002427707,0.003374032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002191685,"about_ca_system_score_gemma":0.00314929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003331513,"about_ca_topic_score_gemma":0.005554369,"domain_scores_codex":[0.9990016,0.0004685998,0.00003829204,0.0001039809,0.0001896994,0.0001978359],"domain_scores_gemma":[0.9986666,0.0004014623,0.0001066483,0.0001458073,0.0001653557,0.0005141227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003940574,0.0001283629,0.005406952,0.0002734993,0.00001487151,0.0008752649,0.01645757,0.0001738029,0.001162528,0.6902087,0.09010515,0.1951538],"study_design_scores_gemma":[0.000009424518,0.00006365473,0.003467857,0.0006876337,0.000009352094,0.0005031627,0.01413333,0.0001063601,0.0002659684,0.06408516,0.9166545,0.00001352639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05013495,0.01516732,0.006003523,0.1969941,0.002590551,0.000136195,0.0003362627,0.0002241046,0.728413],"genre_scores_gemma":[0.7066726,0.02984992,0.01341373,0.05557717,0.002353433,0.000174189,0.0004150379,0.0001260317,0.1914179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03375899,"threshold_uncertainty_score":0.1129351,"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."}}