{"id":"W2897784798","doi":"10.3390/nu10101462","title":"A Qualitative Evaluation of the eaTracker® Mobile App","year":2018,"lang":"en","type":"article","venue":"Nutrients","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Obesity Network; Hospital for Sick Children; University of Waterloo; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; Cancer Care Ontario","keywords":"Mobile apps; Dashboard; App store; World Wide Web; Coding (social sciences); mHealth; Internet privacy; Mobile device; Usability; Computer science; Multimedia; Medicine; Human–computer interaction; Data science; Psychological intervention; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03408052,0.0008342516,0.0006601435,0.001482266,0.006694827,0.004265536,0.002178774,0.001724347,0.005701673],"category_scores_gemma":[0.04622621,0.0004840243,0.0006370934,0.001299296,0.004735551,0.00261051,0.005408031,0.001844154,0.0009075463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00671077,"about_ca_system_score_gemma":0.008428114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00502215,"about_ca_topic_score_gemma":0.01072523,"domain_scores_codex":[0.9680383,0.02602116,0.0008298935,0.0009714182,0.0023326,0.001806686],"domain_scores_gemma":[0.9387699,0.04569534,0.001799466,0.001499896,0.009971485,0.002263883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003766091,0.0008018626,0.002786417,0.002552953,0.00001457974,0.00158359,0.9166547,0.0002437907,0.004281526,0.00245886,0.005251837,0.06299316],"study_design_scores_gemma":[0.0001348316,0.001603507,0.004154571,0.002377771,0.00004163431,0.0005620354,0.9266412,0.0006341362,0.002961154,0.0009800324,0.05984423,0.00006498132],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365248,0.001016428,0.01781269,0.004410991,0.0003473832,0.008079232,0.001092308,0.0002075208,0.03050868],"genre_scores_gemma":[0.9374424,0.001567372,0.03053267,0.002826878,0.00009678042,0.01303601,0.0004641138,0.0001851179,0.01384859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03408052,"threshold_uncertainty_score":0.1802372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1569669273631048,"score_gpt":0.5670671941740588,"score_spread":0.410100266810954,"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."}}