{"id":"W3197562942","doi":"10.2196/28577","title":"Feasibility, Usability, and Effectiveness of a Machine Learning–Based Physical Activity Chatbot: Quasi-Experimental Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Central Queensland University; National Heart Foundation of Australia","keywords":"Chatbot; Usability; eHealth; Physical activity; mHealth; Wearable computer; Psychological intervention; Computer science; Applied psychology; Psychology; Medicine; Human–computer interaction; Physical therapy; World Wide Web; Health care; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001233665,0.0002558849,0.0006752274,0.00009858565,0.0002561936,0.00002979989,0.00009832852,0.00009445168,0.00006562279],"category_scores_gemma":[0.00008349841,0.000249349,0.0001054787,0.0003027459,0.0002416794,0.0001324675,0.000160928,0.0004520149,0.00001203216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264508,"about_ca_system_score_gemma":0.000248763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001208674,"about_ca_topic_score_gemma":0.0002057354,"domain_scores_codex":[0.995874,0.002074522,0.0004427439,0.0007877877,0.0002902408,0.00053068],"domain_scores_gemma":[0.9980606,0.0006599005,0.0002482308,0.0004275486,0.0000829381,0.000520758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004450731,0.1564973,0.7993898,0.008769519,0.00008522787,0.00005265141,0.004744045,0.000002947254,0.0002739855,0.003890832,0.00002730589,0.02181556],"study_design_scores_gemma":[0.00431511,0.01682549,0.9752744,0.0001500597,0.00004152009,0.0000364887,0.001251951,0.0003914406,0.001027207,0.0004536654,0.0000389229,0.0001937393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959756,0.0007732693,0.00004551259,0.0004529826,0.0003371478,0.001797589,0.0001023476,0.00006812264,0.0004474281],"genre_scores_gemma":[0.9994121,0.00000492266,0.00003271605,0.0000810722,0.00004970372,0.0002775184,0.00002536306,0.0000289711,0.00008770166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1758845,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0893070579031292,"score_gpt":0.4851987538017969,"score_spread":0.3958916958986677,"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."}}