{"id":"W7084617694","doi":"10.1109/tg.2025.3617866","title":"Semi-Supervised Tile Embeddings: A General, Multigame Level Representation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Games","topic":"Science and Science Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tile; Representation (politics); Scale (ratio); Video game; Simple (philosophy)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005210703,0.0001073516,0.0001225112,0.0002986018,0.000954305,0.0002018437,0.0003419953,0.00009535363,0.0004638648],"category_scores_gemma":[0.00007643581,0.0001056048,0.0001011372,0.001398052,0.0003393022,0.0006296205,0.000001147605,0.000144538,0.0001167318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161887,"about_ca_system_score_gemma":0.0004462936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355488,"about_ca_topic_score_gemma":0.001322711,"domain_scores_codex":[0.9984906,0.0001294883,0.0002091173,0.0003865334,0.0004588967,0.0003253872],"domain_scores_gemma":[0.9992595,0.0001811702,0.00005037419,0.0002592101,0.0001381653,0.0001115704],"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":[0.0001089839,0.001337086,0.003187869,0.00003980119,0.00008563141,0.000005911136,0.1618718,0.02312955,0.06934597,0.008570068,0.04596826,0.6863491],"study_design_scores_gemma":[0.00348675,0.0003910651,0.03305836,0.0005003728,0.0002951366,0.00000739418,0.2500785,0.09598593,0.4278331,0.01379842,0.1723015,0.002263491],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7281068,0.00005059711,0.2327715,0.008849436,0.00389909,0.0005084537,0.00001802052,0.0002469368,0.02554915],"genre_scores_gemma":[0.9622769,0.0001000164,0.00176745,0.0008621001,0.0001074311,0.00008516008,0.000001515887,0.000005494751,0.03479389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6840856,"threshold_uncertainty_score":0.7339839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0741006534695104,"score_gpt":0.3868244438037271,"score_spread":0.3127237903342167,"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."}}