{"id":"W6990100049","doi":"","title":"A Comparative Analysis of Game Asset Creation Using
\\nConventional and AI Methods","year":2024,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asset (computer security); Field (mathematics); Task (project management); Process (computing); Sample (material); Video game; Rank (graph theory)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001093357,0.000277144,0.0007388809,0.00432257,0.0003182048,0.0003748233,0.001060698,0.0002996998,0.00004952819],"category_scores_gemma":[0.00008691067,0.000310292,0.0003860492,0.005338377,0.0004377645,0.0006400621,0.0003471058,0.0008974283,0.00001375631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005188927,"about_ca_system_score_gemma":0.001098452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405287,"about_ca_topic_score_gemma":0.01732593,"domain_scores_codex":[0.9961537,0.001227123,0.0004552792,0.0009576877,0.0007714426,0.0004347483],"domain_scores_gemma":[0.99736,0.0007159625,0.0003114813,0.0006499681,0.000759642,0.0002029254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001492645,0.001063338,0.06615778,0.001520311,0.02418982,0.00212158,0.04485114,0.006535114,0.1339881,0.7022821,0.002393006,0.01340505],"study_design_scores_gemma":[0.0002634529,0.0007317964,0.1015741,0.0004464099,0.002867052,0.00002862253,0.009721762,0.6223146,0.222606,0.02984772,0.008505867,0.001092602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948691,0.0006316758,0.06440373,0.0002134377,0.00100808,0.0004840272,0.00002704279,0.0001151323,0.0382477],"genre_scores_gemma":[0.9794594,0.00007983265,0.002218504,0.000005056654,0.00009428011,0.000003325386,0.00009534527,0.00001629859,0.01802794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6724344,"threshold_uncertainty_score":0.9999349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08102446089877664,"score_gpt":0.4204303386191928,"score_spread":0.3394058777204161,"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."}}