{"id":"W4367593256","doi":"10.2196/44388","title":"Assessing Mood With the Identifying Depression Early in Adolescence Chatbot (IDEABot): Development and Implementation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Medical Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; King's College London; Academy of Medical Sciences; Royal Academy of Engineering; National Institute of Mental Health; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Institute for Health and Care Research; Department of Health and Social Care; MQ: Transforming Mental Health; NIHR Maudsley Biomedical Research Centre; South London and Maudsley NHS Foundation Trust","keywords":"Mood; Psychology; Chatbot; Feeling; Data collection; Depression (economics); Mental health; Scripting language; Applied psychology; Clinical psychology; Developmental psychology; Psychiatry; World Wide Web; Computer science; Social psychology","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":[0.01321177,0.0008408369,0.0005996238,0.001323411,0.0007073969,0.001378152,0.001500614,0.0008516244,0.002386091],"category_scores_gemma":[0.01743107,0.0008295675,0.001038711,0.0006054377,0.0006089435,0.001323725,0.002857109,0.001189112,0.0008116257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142705,"about_ca_system_score_gemma":0.003992066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00364887,"about_ca_topic_score_gemma":0.00591704,"domain_scores_codex":[0.9952669,0.002666665,0.0004088469,0.0005345223,0.000749368,0.0003737517],"domain_scores_gemma":[0.9911368,0.003287325,0.0006320506,0.0008476538,0.002691801,0.001404451],"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":[0.00198417,0.01792147,0.266149,0.002079015,0.0002989073,0.001199129,0.02107374,0.000813912,0.008686874,0.0005437616,0.007725113,0.6715249],"study_design_scores_gemma":[0.002736233,0.03092841,0.882964,0.002692577,0.001286687,0.002857253,0.01895374,0.006835524,0.01156822,0.0007533259,0.0380794,0.00034459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548922,0.000384967,0.01631047,0.0003736016,0.0001188009,0.02217848,0.0018689,0.0009391389,0.002933423],"genre_scores_gemma":[0.7692727,0.001361934,0.1663135,0.000609035,0.00007442291,0.05161094,0.006019323,0.0003696137,0.004368471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321177,"threshold_uncertainty_score":0.06987137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144264437155162,"score_gpt":0.4780664900394026,"score_spread":0.3636400463238864,"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."}}