{"id":"W4405171508","doi":"10.2196/52032","title":"Rapid, Tailored Dietary and Health Education Through A Social Media Chatbot Microintervention: Development and Usability Study With Practical Recommendations","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign","keywords":"Chatbot; Social media; Usability; Formative assessment; Medical education; Curriculum; Medicine; Resource (disambiguation); Theory of planned behavior; Psychology; World Wide Web; Computer science; Pedagogy","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":[0.0145512,0.001283898,0.0008075132,0.001105077,0.001012236,0.0007887224,0.001460174,0.001139149,0.003960278],"category_scores_gemma":[0.01409904,0.0006553821,0.0009894577,0.0004207476,0.0008191094,0.001169557,0.001076811,0.0007012633,0.0004810787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009420642,"about_ca_system_score_gemma":0.001695525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478578,"about_ca_topic_score_gemma":0.003620006,"domain_scores_codex":[0.9950166,0.003295315,0.0004130325,0.0003899626,0.0004818098,0.0004033208],"domain_scores_gemma":[0.9918504,0.005569605,0.0003196886,0.0005562804,0.001282052,0.0004218804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01175868,0.1868103,0.02737719,0.01375592,0.0004788244,0.001665389,0.0357288,0.003118895,0.04952731,0.001379228,0.009477773,0.6589217],"study_design_scores_gemma":[0.02355264,0.6093504,0.1796174,0.003752871,0.001768443,0.001631052,0.02978786,0.01919345,0.06856096,0.001979733,0.06022752,0.0005776103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299743,0.0002332276,0.0182763,0.0003248932,0.0001322135,0.04765184,0.0003682281,0.0005888114,0.0024501],"genre_scores_gemma":[0.7367114,0.0006852048,0.1385365,0.0005803917,0.0001081993,0.1184051,0.0005027042,0.0001292205,0.004341247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0145512,"threshold_uncertainty_score":0.07695496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3158173787891302,"score_gpt":0.6024787531162483,"score_spread":0.2866613743271181,"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."}}