{"id":"W3184399352","doi":"10.2196/25425","title":"Mobile Apps as Audience-Centered Health Communication Platforms","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Family and Protective Services","keywords":"Psychological intervention; mHealth; Health communication; Internet privacy; Target audience; Mobile apps; Mobile telephony; Mobile phone; Computer science; Multimedia; Business; Advertising; Public relations; Medicine; World Wide Web; Telecommunications; Mobile radio; Political science; Nursing","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":[0.002943442,0.001025993,0.0003726947,0.001751924,0.0008155614,0.004836341,0.0009570865,0.002413576,0.01625622],"category_scores_gemma":[0.008130379,0.000446575,0.0006221312,0.0005929151,0.0009078385,0.004830946,0.004464905,0.001534716,0.006687043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426523,"about_ca_system_score_gemma":0.0007918132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003376162,"about_ca_topic_score_gemma":0.0004319896,"domain_scores_codex":[0.9965204,0.001946903,0.0001375273,0.0002897823,0.0008359161,0.0002694117],"domain_scores_gemma":[0.9942499,0.003915396,0.000422102,0.0003572998,0.0006826647,0.0003726028],"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":[0.0004526683,0.000612687,0.005300927,0.004794956,0.0001180963,0.0007426109,0.008506963,0.0007703257,0.0140812,0.08272802,0.03913914,0.8427523],"study_design_scores_gemma":[0.0002196756,0.002423609,0.0124177,0.00570706,0.0004125412,0.002346778,0.004363938,0.003385376,0.009756304,0.06255126,0.8962252,0.0001904985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1076994,0.03745137,0.2456311,0.02326796,0.005106329,0.005259533,0.001606153,0.005473819,0.5685044],"genre_scores_gemma":[0.5849991,0.03136604,0.2139652,0.01275128,0.006406143,0.005974503,0.001203079,0.0007681124,0.1425666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01625622,"threshold_uncertainty_score":0.05438244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048983639714949,"score_gpt":0.4816756157898131,"score_spread":0.3767772518183182,"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."}}