{"id":"W4390281402","doi":"10.2196/51426","title":"Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"mHealth; Intervention (counseling); Content (measure theory); Computer science; Multimedia; Psychology; Psychological intervention; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00128573,0.0001369578,0.0002699737,0.0001736377,0.0001023059,0.00001887276,0.000219211,0.00005119468,0.0001692617],"category_scores_gemma":[0.0003697278,0.0001123011,0.0001285828,0.0008226343,0.00009273602,0.0002676882,0.0001336517,0.0003591064,0.0002151096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093152,"about_ca_system_score_gemma":0.0002109554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005688782,"about_ca_topic_score_gemma":0.0005503626,"domain_scores_codex":[0.9977294,0.0005993026,0.0004753203,0.0003893237,0.0004817485,0.0003248917],"domain_scores_gemma":[0.9987887,0.0002434128,0.0001866998,0.0003971557,0.00009555648,0.0002884753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001003352,0.04977535,0.02985023,0.0003302149,0.0001003537,0.0002119764,0.06991369,0.000008626104,0.00007611611,0.0009841701,0.0006438313,0.8471021],"study_design_scores_gemma":[0.001764066,0.002557315,0.8997236,0.00115308,0.00005429921,0.0001749595,0.09222131,0.001589597,0.0001213988,0.0003967681,0.00003226098,0.0002112639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940349,0.00001283487,0.00004261573,0.001846004,0.001616838,0.002170884,0.00001572474,0.00006113742,0.0001989987],"genre_scores_gemma":[0.9980803,6.332797e-7,0.00001113202,0.0001043027,0.0001716241,0.001262045,0.00000852298,0.00001856512,0.0003429075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8698735,"threshold_uncertainty_score":0.8599775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4224212548552816,"score_gpt":0.5427564494244093,"score_spread":0.1203351945691277,"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."}}