{"id":"W3190987768","doi":"10.2196/29964","title":"Using the Behaviour Change Wheel Program Planning Model to Design Games for Health: Development Study","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Educational Games and Gamification","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute on Aging; Center for Energy Balance in Cancer Prevention and Survivorship; University of Texas Medical Branch; American Cancer Society; Duncan Family Institute for Cancer Prevention and Risk Assessment; National Cancer Institute; National Institutes of Health","keywords":"Behavior change; Cognitive reframing; Applied psychology; Health promotion; Psychology; Game mechanics; Experiential learning; Psychological intervention; Behavior change methods; Preprint; Nudge theory; Human–computer interaction; Computer science; Management science; Social psychology; Medicine; Engineering; Public health; Mathematics education; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004697156,0.0001983594,0.0002327123,0.00008586246,0.0002936665,0.0001046603,0.0002236558,0.00007043905,0.00003393455],"category_scores_gemma":[0.0000250275,0.000165167,0.00005256754,0.0002576201,0.00002333978,0.0000698353,0.00005797937,0.0001262038,0.0000184438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412543,"about_ca_system_score_gemma":0.0003625663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006221387,"about_ca_topic_score_gemma":0.00007394436,"domain_scores_codex":[0.998298,0.0001652857,0.000376665,0.0004880361,0.0002134817,0.0004584567],"domain_scores_gemma":[0.9990056,0.00008806736,0.0001584708,0.0004314996,0.0001855751,0.000130757],"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":[0.0002290498,0.004453647,0.02120682,0.00008248712,0.0002395003,0.00001475661,0.4254623,0.002696464,0.0003628649,0.0007679104,0.01954311,0.5249411],"study_design_scores_gemma":[0.001558624,0.001541156,0.7831568,0.0002110181,0.00009331862,0.00006749755,0.08762521,0.006768904,0.0003453063,0.0002791108,0.1175087,0.0008443257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9502887,0.00167027,0.03187403,0.00729642,0.0007718785,0.007788134,0.00001843897,0.0001701966,0.0001218928],"genre_scores_gemma":[0.8916456,0.000006225997,0.08856862,0.002490578,0.000299401,0.01394918,0.00005103843,0.0000599596,0.002929434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.76195,"threshold_uncertainty_score":0.6735314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3017047670903071,"score_gpt":0.4912923529260766,"score_spread":0.1895875858357695,"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."}}