{"id":"W2156956782","doi":"10.1109/igic.2011.6115113","title":"Power defense: A video game for improving diabetes numeracy","year":2011,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Ontario Tech University; Hospital for Sick Children","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Numeracy; Experiential learning; Computer science; Video game; Power (physics); Diabetes mellitus; Game based learning; Human–computer interaction; Multimedia; Psychology; Mathematics education; Medicine; Literacy; Pedagogy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001463564,0.00007983095,0.00008045165,0.00004615831,0.00003395217,0.00001444037,0.0001069311,0.00006014961,0.006842974],"category_scores_gemma":[0.00006085811,0.00006953468,0.00006311071,0.00006229798,0.00002482488,0.00007412559,0.00001103862,0.00004794237,0.0005192744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000147361,"about_ca_system_score_gemma":0.00002007578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009397478,"about_ca_topic_score_gemma":0.000005172092,"domain_scores_codex":[0.9993307,0.00001957201,0.000161818,0.000222792,0.00005165294,0.0002134358],"domain_scores_gemma":[0.9994176,0.0001136429,0.00006721696,0.0002563047,0.00009169574,0.00005354893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008283777,0.0006563814,0.04017758,0.00003468747,0.0001049257,5.905103e-7,0.02125638,2.40962e-7,0.003677312,0.8505185,0.03960441,0.04388617],"study_design_scores_gemma":[0.001159151,0.0004641005,0.7053316,0.00001341285,0.00006370273,0.000006131087,0.005155446,0.0001221502,0.003382306,0.04390586,0.2398484,0.0005476835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626802,0.000479503,0.01638811,0.001370431,0.00166919,0.0006159733,0.00001937299,0.0001477968,0.2166294],"genre_scores_gemma":[0.9736034,7.757628e-7,0.004998783,0.001063766,0.0001044042,0.0002322117,0.00001635499,0.00001798711,0.01996227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8066126,"threshold_uncertainty_score":0.9940649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337909785748133,"score_gpt":0.307551719681847,"score_spread":0.2741726218243657,"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."}}