{"id":"W2622278268","doi":"10.2196/mhealth.6419","title":"Response to “Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS)”","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Computer science; Transparency (behavior); Scale (ratio); Mobile apps; Quality (philosophy); Data quality; Data science; World Wide Web; Computer security; Medicine; Engineering; Psychological intervention; 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":[0.008058663,0.001136893,0.001415509,0.0009852608,0.003262761,0.002770628,0.001818067,0.02343395,0.01295844],"category_scores_gemma":[0.06823308,0.0006854362,0.001492032,0.0007843875,0.002232585,0.002304845,0.002229217,0.02172603,0.0131783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005161406,"about_ca_system_score_gemma":0.00586642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110272,"about_ca_topic_score_gemma":0.01040942,"domain_scores_codex":[0.9907033,0.003171147,0.001615245,0.001022759,0.002624203,0.0008632986],"domain_scores_gemma":[0.9696819,0.0137341,0.002437167,0.0006158457,0.01162055,0.001910451],"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":[0.00007173717,0.00001927488,0.0002685926,0.00006222299,0.000006180903,0.0001770953,0.000193841,0.00001668943,0.0001232473,0.0003030484,0.9950466,0.003711567],"study_design_scores_gemma":[0.0001055814,0.000151301,0.003121951,0.0007119264,0.00002927124,0.0009693785,0.001444695,0.0003882877,0.0005755412,0.001308001,0.9910781,0.0001158784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007141444,0.0004803912,0.0003241937,0.9548922,0.04106477,0.00007998389,0.000273533,0.0001741131,0.001996674],"genre_scores_gemma":[0.002778444,0.0003250871,0.0003362929,0.9812257,0.01025068,0.0001471135,0.000109349,0.0000613189,0.004766076],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02343395,"threshold_uncertainty_score":0.04335028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217105474190699,"score_gpt":0.4419456990949936,"score_spread":0.3897746443530866,"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."}}