{"id":"W3164998934","doi":"10.2196/30435","title":"Public Perceptions of Diabetes, Healthy Living, and Conversational Agents in Singapore: Needs Assessment","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute","funders":"Nanyang Technological University; National Research Foundation","keywords":"Psychological intervention; Thematic analysis; mHealth; Medicine; Population; Qualitative research; Public health; Gerontology; Perception; Psychology; Nursing; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004164602,0.000123052,0.0003204214,0.0007358654,0.001180921,0.00001947746,0.000166044,0.0001976146,0.001887282],"category_scores_gemma":[0.0004962502,0.000121105,0.00003958834,0.001593131,0.0002537265,0.0003301802,0.0003111645,0.001482882,0.0001148474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007199729,"about_ca_system_score_gemma":0.00417767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001550026,"about_ca_topic_score_gemma":0.0003618012,"domain_scores_codex":[0.9948576,0.002144759,0.0009245889,0.0002669905,0.0007320784,0.001073946],"domain_scores_gemma":[0.9954637,0.002262159,0.0002326601,0.0003566963,0.001138642,0.0005461323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001313986,0.0006098428,0.8986585,0.001920325,0.00001407941,8.705391e-7,0.01285307,0.000001309836,0.0001013421,0.05154493,0.0246823,0.009600241],"study_design_scores_gemma":[0.0008397268,0.0001795745,0.9355687,0.0003060515,0.00000197705,8.154266e-7,0.01737333,0.001258046,0.000003643951,0.00123306,0.04314802,0.00008699871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964157,0.0003056655,0.0002208275,0.01616398,0.0001843605,0.002830975,0.0001237346,0.00003519084,0.01597829],"genre_scores_gemma":[0.9899929,0.0008616264,0.0004285818,0.001160579,0.00008413186,0.00675114,0.000175218,0.00001730332,0.0005285203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05031187,"threshold_uncertainty_score":0.9990251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2009945250368946,"score_gpt":0.5408588235804749,"score_spread":0.3398642985435804,"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."}}