{"id":"W2981577538","doi":"10.2196/12884","title":"Engaging Users in the Behavior Change Process With Digitalized Motivational Interviewing and Gamification: Development and Feasibility Testing of the Precious App","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; Yrjö Jahnssonin Säätiö; KAUTE-Säätiö","keywords":"Motivational interviewing; Behavior change; Competence (human resources); Psychology; Applied psychology; Self-determination theory; Focus group; Process (computing); Interview; Autonomy; Human–computer interaction; Social psychology; Computer science; Psychological intervention","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":[],"consensus_categories":[],"category_scores_codex":[0.0008754944,0.0001129067,0.0001801636,0.00005705325,0.0001603201,0.00002265709,0.00009381444,0.00004909525,0.00001835426],"category_scores_gemma":[0.00003735327,0.00006745361,0.000008890083,0.0002545747,0.00008889213,0.0001174548,0.00002506556,0.0002032397,5.247306e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003956896,"about_ca_system_score_gemma":0.0001264177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008682378,"about_ca_topic_score_gemma":0.00006167121,"domain_scores_codex":[0.9987777,0.0001668317,0.0003708699,0.0002937953,0.0001818217,0.0002089179],"domain_scores_gemma":[0.9992113,0.0001934357,0.0002629567,0.00019382,0.00006570266,0.00007277867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003819607,0.00009564433,0.917109,0.000421217,0.000002671928,4.302619e-7,0.04577297,3.654918e-7,0.000001012604,0.0003257504,0.000006635688,0.03622617],"study_design_scores_gemma":[0.0007632967,0.0000754431,0.990122,0.0001438338,0.000006943637,0.00002118418,0.008423422,0.00001467741,0.00000254719,0.00003932205,0.0003194755,0.00006784812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962431,0.0003123619,0.00001338787,0.0005956719,0.00006807528,0.002207945,0.00000423166,0.00001708775,0.0005382018],"genre_scores_gemma":[0.9981714,0.00001127178,0.0002501124,0.000849433,0.00002392894,0.0006338286,0.000009252251,0.000008734582,0.00004202002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07301307,"threshold_uncertainty_score":0.2750678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1757119099467361,"score_gpt":0.404073944749208,"score_spread":0.2283620348024719,"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."}}