{"id":"W2545452677","doi":"10.1109/gem.2014.7048086","title":"Balancing multiplayer first-person shooter games using aiming assistance","year":2014,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Human–computer interaction; Feeling; Cursor (databases); First person; Multimedia; Psychology; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002251902,0.0001083374,0.0001126407,0.00005796472,0.0001072169,0.00003674742,0.000106727,0.00007709679,0.001568493],"category_scores_gemma":[0.00005759853,0.00009808061,0.00005057587,0.00009412968,0.00002718149,0.00008757071,0.000009417888,0.0000939097,0.0002677226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005581809,"about_ca_system_score_gemma":0.00001201577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002288874,"about_ca_topic_score_gemma":0.0000837245,"domain_scores_codex":[0.9991488,0.00005075071,0.0001621198,0.0002938208,0.0001184153,0.0002260486],"domain_scores_gemma":[0.9993549,0.0001636714,0.00007892603,0.0002872537,0.00005698951,0.00005827179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001430539,0.0007076194,0.6472144,0.000130566,0.0002397551,0.000005740608,0.03788929,0.001678666,0.02097167,0.128308,0.05300773,0.1097036],"study_design_scores_gemma":[0.0006387652,0.00004106371,0.802822,0.00007648313,0.00003443308,0.00002044101,0.005511354,0.02527642,0.0006353753,0.0002461106,0.1642838,0.0004137501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8489262,0.000200852,0.07952525,0.002657346,0.001434281,0.0001494116,0.000002516573,0.0001034769,0.06700066],"genre_scores_gemma":[0.9788899,0.000001505442,0.0100756,0.0009651017,0.0003724179,0.00001705968,0.000007617812,0.00001905661,0.009651734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1556076,"threshold_uncertainty_score":0.9993442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04592212151457672,"score_gpt":0.3235062129295237,"score_spread":0.277584091414947,"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."}}