{"id":"W4205111021","doi":"10.2196/28003","title":"The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Drug Abuse; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institute of Mental Health; Medical Research Council; Vetenskapsrådet; National Health and Medical Research Council; National Eating Disorders Association","keywords":"Workaround; Chatbot; Interactivity; Conversation; Observational study; Psychology; Intervention (counseling); Computer science; Internet privacy; Medicine; Medical education; Nursing; World Wide Web; Communication","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":[0.03630066,0.0004496687,0.0007446486,0.001144172,0.002888378,0.001630354,0.001236432,0.001332627,0.001476105],"category_scores_gemma":[0.1231448,0.0008800979,0.000831779,0.0006830449,0.001592124,0.002613101,0.002032395,0.002206683,0.0005297601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188344,"about_ca_system_score_gemma":0.004651579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006440329,"about_ca_topic_score_gemma":0.01329438,"domain_scores_codex":[0.982215,0.01158447,0.002078394,0.0008908467,0.002226606,0.001004674],"domain_scores_gemma":[0.9007307,0.06613566,0.009683623,0.00584567,0.01436814,0.003236172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008243367,0.009887104,0.6355425,0.002103112,0.0001542591,0.002076986,0.271161,0.0004491193,0.002084768,0.0005597343,0.003932286,0.07122476],"study_design_scores_gemma":[0.0004805962,0.01763398,0.586035,0.002411411,0.000410593,0.002785948,0.3404777,0.005977207,0.004648576,0.001486187,0.037328,0.0003248366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941238,0.0001991537,0.002640565,0.0002900542,0.00002492254,0.001393772,0.0001604045,0.00003178325,0.001135703],"genre_scores_gemma":[0.9883052,0.0003484601,0.00693276,0.0005443661,0.00003463419,0.00293128,0.0001781582,0.00003043917,0.000694681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03630066,"threshold_uncertainty_score":0.1919785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5216748969401692,"score_gpt":0.5787718699261131,"score_spread":0.05709697298594385,"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."}}