{"id":"W4244872163","doi":"10.36227/techrxiv.12056163","title":"ExerAdventure: A Mobile 2D Platformer Game to Encourage Fitness","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Lakehead University","keywords":"Adventure; Game design; Video game design; Mode (computer interface); Game mechanics; Computer science; Human–computer interaction; Psychology; Multimedia; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001682754,0.0008529531,0.0002666959,0.0004304597,0.0001949893,0.0006499084,0.0007320148,0.0006686428,0.01038595],"category_scores_gemma":[0.0005261924,0.0002000485,0.0004230042,0.0001171256,0.0002951039,0.0007146142,0.001124214,0.0004233548,0.002301851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048054,"about_ca_system_score_gemma":0.0002403943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004829264,"about_ca_topic_score_gemma":0.0008106325,"domain_scores_codex":[0.9998375,0.00004457107,0.000006888122,0.00003641596,0.00004716042,0.00002734211],"domain_scores_gemma":[0.9999049,0.00003152581,0.000007611202,0.000008201519,0.00001485329,0.00003283992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002028007,0.002442241,0.006377392,0.002751629,0.0002305856,0.001811535,0.002072763,0.01165104,0.2182458,0.05490251,0.04618901,0.6512973],"study_design_scores_gemma":[0.0009081136,0.004290834,0.03461123,0.0007019282,0.0003473259,0.005580258,0.0006031704,0.1041993,0.07281608,0.02276047,0.7528377,0.000343589],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1673829,0.002271651,0.731452,0.001185986,0.0009230793,0.001966691,0.001025606,0.009398385,0.08439375],"genre_scores_gemma":[0.4302689,0.001930081,0.4801249,0.001354496,0.0002151642,0.001570083,0.001545278,0.001053567,0.08193757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01038595,"threshold_uncertainty_score":0.0347445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04463767094855041,"score_gpt":0.3572907259455615,"score_spread":0.3126530549970111,"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."}}