{"id":"W3048821749","doi":"10.2196/17979","title":"Serious Game on a Smartphone for Adolescents Undergoing Hemodialysis: Development and Evaluation","year":2020,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; Fundação de Amparo à Pesquisa do Estado de Goiás; Ministerio de Economía y Competitividad","keywords":"Hemodialysis; Mobile apps; Competence (human resources); Population; Medicine; Psychology; Qualitative research; Physical therapy; Applied psychology; Computer science; Social psychology; Psychiatry","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":[0.002074783,0.0008240989,0.0005506573,0.0007453433,0.0002806706,0.0008590082,0.0009565728,0.0005532883,0.002330089],"category_scores_gemma":[0.004874707,0.0002667267,0.0007332011,0.0001995848,0.0003893221,0.0005387425,0.001039304,0.0006090895,0.0004263568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003958717,"about_ca_system_score_gemma":0.0009842048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122763,"about_ca_topic_score_gemma":0.001768308,"domain_scores_codex":[0.9992158,0.0003669189,0.00007475248,0.00006433223,0.0001814189,0.00009671808],"domain_scores_gemma":[0.998295,0.0007697506,0.0000898788,0.00006411707,0.0004192499,0.0003619961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007405791,0.05457037,0.061717,0.009122868,0.0006181283,0.003447653,0.01280864,0.005882569,0.042506,0.001975238,0.01409557,0.7858501],"study_design_scores_gemma":[0.01346348,0.2258036,0.4396624,0.006810377,0.003067937,0.009555729,0.02358029,0.08175346,0.06916805,0.003320778,0.1230763,0.0007376724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809653,0.0005351444,0.008540156,0.0002231022,0.00008353194,0.005725377,0.0003387712,0.0003904468,0.003198162],"genre_scores_gemma":[0.887881,0.002540124,0.09273956,0.0003593316,0.00004175343,0.0111607,0.00130881,0.0001503133,0.003818364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002330089,"threshold_uncertainty_score":0.01097262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659691119168608,"score_gpt":0.2914563152686478,"score_spread":0.2648594040769618,"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."}}