{"id":"W2295243623","doi":"10.1016/j.jneb.2016.01.005","title":"No App for That!","year":2016,"lang":"en","type":"editorial","venue":"Journal of Nutrition Education and Behavior","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scopus; mHealth; Mainstream; Perspective (graphical); Mobile apps; eHealth; Psychology; World Wide Web; Computer science; Advertising; Gerontology; Medical education; Medicine; MEDLINE; Health care; Artificial intelligence; Political science","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":[0.009087708,0.003805816,0.003723419,0.005554469,0.005248492,0.0142332,0.003443094,0.02629477,0.09331444],"category_scores_gemma":[0.04828976,0.001742527,0.0042226,0.0018334,0.003062799,0.008874576,0.005779901,0.02857866,0.06954728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003004569,"about_ca_system_score_gemma":0.005276359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147659,"about_ca_topic_score_gemma":0.01085667,"domain_scores_codex":[0.9902209,0.001790439,0.001000136,0.0009775374,0.005386415,0.0006244889],"domain_scores_gemma":[0.968358,0.01020265,0.002003327,0.001111626,0.01240706,0.005917272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008871238,0.00001018273,0.000008839028,0.0001099364,0.000006146685,0.0000271084,0.000008645545,0.000003499638,0.00002162734,0.0001659411,0.9928275,0.006801587],"study_design_scores_gemma":[0.00002341912,0.00001525562,0.00006862211,0.000393902,0.00001919213,0.00005990494,0.00004413235,0.00001470455,0.00001918426,0.0003762011,0.9989536,0.00001180056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002513707,0.007193296,0.0001350627,0.07500427,0.9103965,0.00003804845,0.00006996365,0.0001332065,0.007004477],"genre_scores_gemma":[0.0003049297,0.008405987,0.0002100109,0.1018547,0.821135,0.0000909785,0.00009996122,0.0001475619,0.06775074],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09331444,"threshold_uncertainty_score":0.3121679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354246130152117,"score_gpt":0.4741492458200203,"score_spread":0.4306067845184991,"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."}}