{"id":"W2134542779","doi":"10.2196/mhealth.3088","title":"An Evaluation of Mobile Health Application Tools","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":250,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Verizon","keywords":"Mobile phone; mHealth; Computer science; Inclusion (mineral); Medicine; Multimedia; Medical education; Psychology; Nursing; Psychological intervention","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01339824,0.0003269933,0.0008880257,0.0003333683,0.001789727,0.00001351802,0.0003167946,0.0003636885,0.0001765301],"category_scores_gemma":[0.0002480959,0.0003137953,0.00006275581,0.0006332431,0.0001466155,0.0003220676,0.00005852091,0.0008207215,0.0001133312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005919925,"about_ca_system_score_gemma":0.004577976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504485,"about_ca_topic_score_gemma":0.0006898658,"domain_scores_codex":[0.9912634,0.003168354,0.002296203,0.0008782563,0.0009447757,0.001449041],"domain_scores_gemma":[0.9934193,0.0007008752,0.001791864,0.001233592,0.0008539337,0.002000475],"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":[0.00009314179,0.0003477339,0.01440978,0.004497172,0.000005496628,3.183226e-8,0.001927304,0.00005371529,0.00006318493,0.04649818,0.002757633,0.9293466],"study_design_scores_gemma":[0.007081024,0.004414638,0.4243669,0.0004697058,0.000168839,0.000008569356,0.004164603,0.04596628,0.00002229569,0.01079353,0.5018683,0.0006752726],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370439,0.00417445,0.01332846,0.004897359,0.0007929736,0.0309093,0.0002246618,0.000508668,0.008120219],"genre_scores_gemma":[0.950083,0.001902245,0.001673407,0.007215518,0.0006542263,0.03794121,0.0004142934,0.00006035611,0.00005581035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9286714,"threshold_uncertainty_score":0.9999314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1305570774943788,"score_gpt":0.526707614490792,"score_spread":0.3961505369964132,"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."}}