{"id":"W3033589448","doi":"10.3389/fcomp.2020.00017","title":"External Assistance Techniques That Target Core Game Tasks for Balancing Game Difficulty","year":2020,"lang":"en","type":"article","venue":"Frontiers in Computer Science","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Computer science; Core (optical fiber); Game mechanics; Game design; Set (abstract data type); Human–computer interaction; Task (project management); Key (lock); Engineering; Computer security; Systems engineering","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":[0.002735918,0.002112602,0.0004387895,0.001897158,0.0007027103,0.002565521,0.001432902,0.000930055,0.003426737],"category_scores_gemma":[0.01791516,0.0004722704,0.0007548871,0.0005532633,0.001338975,0.002479626,0.002567182,0.001462126,0.001236402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006068971,"about_ca_system_score_gemma":0.001187592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000919676,"about_ca_topic_score_gemma":0.002501874,"domain_scores_codex":[0.997003,0.000886833,0.0003262086,0.0005307387,0.0008742851,0.0003788305],"domain_scores_gemma":[0.9921269,0.004016516,0.001033254,0.001098431,0.00128345,0.0004414303],"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":[0.0008239082,0.001452133,0.03546326,0.005411312,0.0002184483,0.0008651604,0.03146725,0.01077582,0.1853884,0.02726094,0.009498001,0.6913754],"study_design_scores_gemma":[0.0008022703,0.005563111,0.1717787,0.004679251,0.001348366,0.006418189,0.03151844,0.1532498,0.2005123,0.04939694,0.3737219,0.001010736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3143364,0.0006718419,0.6509875,0.0005931371,0.0001331019,0.002129322,0.0002574538,0.004580293,0.0263109],"genre_scores_gemma":[0.4937209,0.0004161446,0.4973086,0.0002659876,0.00002475067,0.001450309,0.0003201562,0.000663653,0.005829588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003426737,"threshold_uncertainty_score":0.01446909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613369894040661,"score_gpt":0.2791988230994479,"score_spread":0.2430651241590413,"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."}}