{"id":"W4391096910","doi":"10.1109/gem59776.2023.10389911","title":"Automated Difficulty Assessment Model for Platformer Games: A Comprehensive Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Adversary; GRASP; Set (abstract data type); Process (computing); Game mechanics; Human–computer interaction; Video game; Software; Game design; Game theory; Presentation (obstetrics); Artificial intelligence; Software engineering; Programming language; Multimedia; Computer security; Mathematical economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230093,0.001253233,0.001025399,0.002595656,0.000461706,0.002424106,0.001799463,0.001187257,0.002955794],"category_scores_gemma":[0.005684441,0.0007102956,0.00170268,0.001022544,0.0009096417,0.002003717,0.001280359,0.001126976,0.0006940723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761911,"about_ca_system_score_gemma":0.001793674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009627867,"about_ca_topic_score_gemma":0.009637388,"domain_scores_codex":[0.9987659,0.0002708764,0.0001001637,0.0002849748,0.0004731418,0.0001049959],"domain_scores_gemma":[0.997476,0.001342948,0.0003455202,0.000227949,0.0005116526,0.00009584428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004225041,0.0001107201,0.002335287,0.0001172728,0.00005627189,0.0001466284,0.0001750701,0.9389107,0.002215884,0.01935619,0.0007607416,0.03577306],"study_design_scores_gemma":[0.000004462626,0.00001999715,0.0003112134,0.00001279931,0.00001259918,0.00002881256,0.00001225491,0.9925488,0.0002612754,0.006132909,0.0006458846,0.000008918297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01852727,0.000147968,0.9771119,0.00008587904,0.00001067775,0.0001883209,0.0002831751,0.0008441677,0.002800686],"genre_scores_gemma":[0.4859982,0.0004214887,0.5066485,0.00008808835,0.00003518734,0.0009011597,0.001039193,0.0002499114,0.004618245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009627867,"threshold_uncertainty_score":0.0191437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117546636253933,"score_gpt":0.3641007555232612,"score_spread":0.2523460918978679,"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."}}