{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02267642,0.001401299,0.001868167,0.001069717,0.00250098,0.001422423,0.001350912,0.001786835,0.006040921],"category_scores_gemma":[0.02300666,0.001636093,0.001526396,0.0003830481,0.002118431,0.001888589,0.001277171,0.001994649,0.001560395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227278,"about_ca_system_score_gemma":0.003304057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001429473,"about_ca_topic_score_gemma":0.002199265,"domain_scores_codex":[0.9894001,0.006131168,0.0009950552,0.001209342,0.001253276,0.001011],"domain_scores_gemma":[0.9748085,0.01389968,0.002228862,0.002410601,0.00440705,0.002245369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.03472435,0.7672414,0.0432864,0.003014154,0.000358642,0.0004200026,0.01985327,0.000703798,0.009027767,0.0005033944,0.002015326,0.1188515],"study_design_scores_gemma":[0.0322056,0.8075775,0.1341519,0.0005649594,0.0005852007,0.0002807355,0.006901958,0.004472657,0.005850381,0.0005946935,0.006568263,0.0002461601],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732851,0.00008263597,0.002179595,0.0001286764,0.00007628233,0.02297549,0.000159951,0.00007104879,0.001041287],"genre_scores_gemma":[0.8979076,0.0002311675,0.02320375,0.0004445224,0.0001616895,0.07523847,0.0002984568,0.0000354597,0.002478938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02267642,"threshold_uncertainty_score":0.1199258,"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."}}