{"id":"W2999746884","doi":"10.29173/hsi84","title":"Gamifying health: Using video games for obesity and diabetes interventions","year":2012,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Video game; Psychological intervention; Diabetes mellitus; Obesity; Psychology; Medicine; Computer science; Multimedia; Endocrinology; Psychiatry","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":[0.001889566,0.0008985274,0.0003499593,0.0007297432,0.0005631247,0.001771574,0.0007034451,0.001159334,0.005312301],"category_scores_gemma":[0.004314337,0.0001933188,0.0004658392,0.0003285113,0.000436303,0.001323683,0.001325291,0.001068345,0.000484914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515275,"about_ca_system_score_gemma":0.0008903735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582618,"about_ca_topic_score_gemma":0.007537233,"domain_scores_codex":[0.9993384,0.0003882527,0.00002311335,0.00005910209,0.0001066382,0.00008448288],"domain_scores_gemma":[0.9989598,0.0006504534,0.00005481139,0.00002976556,0.00005342305,0.0002517945],"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":[0.001491307,0.01379322,0.01211258,0.001189299,0.0001627844,0.0002744986,0.002134413,0.001306078,0.004072593,0.005760545,0.01756004,0.9401426],"study_design_scores_gemma":[0.010564,0.04605316,0.3161238,0.01204599,0.004514028,0.004785694,0.03895428,0.08206928,0.02833764,0.1277848,0.3279325,0.0008348559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8597109,0.005932159,0.03418238,0.01966773,0.001235184,0.002010976,0.000322295,0.001502026,0.0754364],"genre_scores_gemma":[0.864628,0.005424203,0.1157937,0.002986452,0.0002361669,0.001326933,0.000225809,0.00007519758,0.009303682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005312301,"threshold_uncertainty_score":0.01777142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.313425276522946,"score_gpt":0.5125355878078075,"score_spread":0.1991103112848615,"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."}}