{"id":"W4224941645","doi":"10.1145/3520273.3520277","title":"ASE4Games 2021 Workshop Summary","year":2022,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Chicoutimi; Centre for Social Innovation","funders":"","keywords":"Software engineering; Computer science; Software; Engineering; Programming language","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003749051,0.0002802904,0.0002532341,0.0002328743,0.0003285389,0.0001816679,0.002749865,0.00006847124,0.0004997986],"category_scores_gemma":[0.05802589,0.0003206912,0.000142992,0.0009175433,0.00003879816,0.0004986632,0.002393811,0.0005269105,0.0001337651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427426,"about_ca_system_score_gemma":0.00009011238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003515818,"about_ca_topic_score_gemma":0.000002442233,"domain_scores_codex":[0.997879,0.00005766388,0.0003500622,0.0005945333,0.0005497569,0.0005689618],"domain_scores_gemma":[0.9612654,0.03661792,0.0001035294,0.001751403,0.00008410367,0.0001776757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002220089,0.0002989632,0.1102512,0.00008657468,0.0001339974,0.0004653356,0.00436602,0.204094,0.004598443,0.01147866,0.01623579,0.6479688],"study_design_scores_gemma":[0.001275548,0.001409044,0.08557745,0.0007019823,0.0001676361,0.0007506483,0.00159083,0.1745036,0.142917,0.008986748,0.5717125,0.01040707],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09010637,0.003216878,0.8976934,0.002484389,0.003616831,0.000372022,0.00003501126,0.00244491,0.00003020184],"genre_scores_gemma":[0.8768418,0.0000247282,0.1221214,0.0003332439,0.0001861555,0.0001311481,0.0000156208,0.00004594342,0.0002999071],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7867354,"threshold_uncertainty_score":0.9999245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303241552648229,"score_gpt":0.2515513401084853,"score_spread":0.2285189245820031,"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."}}