{"id":"W2313755796","doi":"10.2196/mhealth.4546","title":"Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Trade, Industry and Energy","keywords":"Usability; mHealth; Mobile apps; Accelerometer; Medicine; Computer science; Psychology; Applied psychology; Human–computer interaction; Psychological intervention; World Wide Web; 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":[0.003158808,0.0006326218,0.0004939041,0.000593827,0.0004611421,0.0006841499,0.0005082924,0.0006299561,0.00247488],"category_scores_gemma":[0.007413716,0.0002980241,0.0006919872,0.0002030425,0.0002806623,0.0006020596,0.00069235,0.0005664004,0.0005121068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064351,"about_ca_system_score_gemma":0.0005572609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006952914,"about_ca_topic_score_gemma":0.001485614,"domain_scores_codex":[0.9985709,0.0006393964,0.0001924065,0.0001483228,0.0003249628,0.0001239892],"domain_scores_gemma":[0.9958706,0.00243009,0.0003128604,0.0002073491,0.0008436571,0.0003354264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008442777,0.01878657,0.2374934,0.004980925,0.0005146243,0.003571526,0.012896,0.001068691,0.09664015,0.0002628958,0.01093519,0.6044073],"study_design_scores_gemma":[0.002991492,0.09097248,0.8039095,0.001560246,0.001605709,0.006598179,0.007546141,0.01326397,0.04333632,0.0003665945,0.02730868,0.0005406869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862077,0.000368048,0.006418927,0.00031908,0.00009886728,0.004484693,0.0004053603,0.000433965,0.001263402],"genre_scores_gemma":[0.9284284,0.0007597821,0.06164062,0.000549909,0.0001132069,0.006188675,0.0005623115,0.00006793096,0.00168906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003158808,"threshold_uncertainty_score":0.01670557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140099299380456,"score_gpt":0.4818920383755682,"score_spread":0.2678821084375226,"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."}}