{"id":"W4311683617","doi":"10.2196/38133","title":"Applying Gamification Principles and Therapeutic Movement Sequences to Design an Interactive Physical Activity Game: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation","keywords":"Flexibility (engineering); Memorization; Depression (economics); Computer science; Physical fitness; Human–computer interaction; Game design; Cognition; Physical activity; Psychology; Multimedia; Cognitive psychology; Physical medicine and rehabilitation; Medicine; Physical therapy; Neuroscience","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":[0.0003989718,0.0002446147,0.0002593432,0.000141155,0.0003467975,0.00009227329,0.0003771769,0.00004516211,0.0002038402],"category_scores_gemma":[0.00001574634,0.0002386286,0.00002724991,0.0002668296,0.00005984186,0.0001535524,0.0002651543,0.00033438,0.00002915278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002695822,"about_ca_system_score_gemma":0.00009252325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001976987,"about_ca_topic_score_gemma":0.00006695669,"domain_scores_codex":[0.9977319,0.0005579806,0.0002204894,0.0007311167,0.0003916027,0.0003669745],"domain_scores_gemma":[0.9990485,0.0001507948,0.0001425095,0.0004922497,0.00004545464,0.0001204878],"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":[0.0007111274,0.003842295,0.005412105,0.00001012638,0.0001892424,0.00004143267,0.4622856,0.001342134,0.02937709,0.0006427863,0.00007619098,0.4960698],"study_design_scores_gemma":[0.001524707,0.007734664,0.7360808,0.00002175709,0.00005323045,0.00004821047,0.2093723,0.004831963,0.01378307,0.0006353706,0.02470128,0.001212601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933949,0.00003899774,0.00162876,0.0001823711,0.0004591226,0.003825508,0.000003516313,0.0001474792,0.0003193179],"genre_scores_gemma":[0.978725,9.467584e-7,0.000667007,0.000423222,0.00005856443,0.01951499,0.000002979185,0.00003176225,0.0005755196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7306687,"threshold_uncertainty_score":0.9730991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07058366441300659,"score_gpt":0.3787410457153625,"score_spread":0.3081573813023559,"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."}}