{"id":"W4240769548","doi":"10.2196/30630","title":"Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Science and Technology Agency","keywords":"Psychological intervention; Intervention (counseling); Wearable computer; Behavior change; Health promotion; Promotion (chess); Applied psychology; Psychology; Medicine; Computer science; Medical education; Artificial intelligence; Public health; Nursing; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"nonrandomized_trial","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"nonrandomized_trial","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01427847,0.0001041581,0.0003521267,0.0006450574,0.00057229,0.00004419499,0.0002322821,0.00003228134,0.002132487],"category_scores_gemma":[0.0001013053,0.0001000622,0.0002632113,0.0004697206,0.0002234419,0.0002220316,0.0004401178,0.0003627931,0.00003719249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003944341,"about_ca_system_score_gemma":0.00004672399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001072048,"about_ca_topic_score_gemma":0.0000254633,"domain_scores_codex":[0.9929394,0.003914731,0.001063087,0.0002375915,0.001504623,0.0003405322],"domain_scores_gemma":[0.9987185,0.0002904659,0.0002874817,0.0002463477,0.0003860322,0.00007119236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3697675,0.02470976,0.00001704945,0.000817649,0.001546772,0.00001540844,0.0112494,0.0002440045,0.000119699,0.2925738,0.000707366,0.2982316],"study_design_scores_gemma":[0.5346105,0.03256304,0.0016724,0.0008815734,0.0005119159,0.00002683493,0.05845629,0.0185273,0.0003002025,0.3518282,0.000165362,0.0004563452],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703321,0.0004354235,0.0009235712,0.0001756041,0.0009465055,0.00985462,0.00005485986,0.0000199394,0.01725739],"genre_scores_gemma":[0.9923265,0.000001584673,0.00006559405,0.000007795698,0.00003570587,0.00724903,0.00002619126,0.00001186995,0.0002757473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2977752,"threshold_uncertainty_score":0.9987797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4791766304267671,"score_gpt":0.6049184748056072,"score_spread":0.1257418443788402,"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."}}