{"id":"W2772918581","doi":"10.2196/mhealth.8651","title":"A Smartphone App to Reduce Sugar-Sweetened Beverage Consumption Among Young Adults in Australian Remote Indigenous Communities: Design, Formative Evaluation and User-Testing","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council","keywords":"Formative assessment; Thematic analysis; Think aloud protocol; Usability; Psychology; Applied psychology; Indigenous; Phone; Internet privacy; Computer science; Qualitative research; Human–computer interaction","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":[0.01097831,0.000868199,0.0007255757,0.000777273,0.0008083828,0.000846021,0.0009761396,0.0008281841,0.00292591],"category_scores_gemma":[0.01378752,0.0004946711,0.001058019,0.0003313308,0.0007068547,0.0007588053,0.001162255,0.0006039739,0.0004310651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006900383,"about_ca_system_score_gemma":0.001731469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003159388,"about_ca_topic_score_gemma":0.005262657,"domain_scores_codex":[0.9966699,0.002003421,0.0003410963,0.0002302699,0.0005302246,0.0002250217],"domain_scores_gemma":[0.9931875,0.003912223,0.0003280212,0.0003362423,0.001905507,0.0003304168],"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":[0.0166386,0.08199002,0.05146079,0.01618863,0.0009124762,0.001704352,0.07765323,0.001721586,0.03862003,0.0006145901,0.005074381,0.7074214],"study_design_scores_gemma":[0.01894826,0.5121792,0.3340584,0.00369162,0.003237742,0.001370739,0.04313427,0.008264831,0.03685333,0.001028429,0.03675517,0.0004780437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662852,0.0002160605,0.003365971,0.0001764284,0.00005427785,0.02783598,0.0002936025,0.0001461449,0.001626423],"genre_scores_gemma":[0.8256712,0.001258319,0.08563357,0.0006151795,0.00008428477,0.08106466,0.0006004711,0.00008457536,0.004987718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097831,"threshold_uncertainty_score":0.05805957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121268042768325,"score_gpt":0.4124857426399911,"score_spread":0.3003589383631586,"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."}}