{"id":"W4416799927","doi":"10.1109/snpd65828.2025.11253149","title":"Chess Game Outcome Prediction Using Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Random forest; Outcome (game theory); Classifier (UML); Training set; Learning classifier system; Deep learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009969353,0.0004060481,0.0004658095,0.0004567176,0.0005560385,0.0007473779,0.001283571,0.0002664781,0.0005836991],"category_scores_gemma":[0.0004506759,0.0004095669,0.0002255656,0.00159943,0.0002620981,0.001054477,0.001068842,0.0008549209,0.0003006992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333624,"about_ca_system_score_gemma":0.0002605001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009540982,"about_ca_topic_score_gemma":0.00008561923,"domain_scores_codex":[0.9962237,0.0002871579,0.001231602,0.0009905236,0.0005165941,0.0007503641],"domain_scores_gemma":[0.9982077,0.0002686722,0.0002509161,0.0008313581,0.0002841631,0.000157135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004255596,0.000304271,0.567836,0.0001806323,0.0001728346,0.00003424581,0.003273851,0.1211692,0.007762039,0.07501702,0.0001758907,0.2240315],"study_design_scores_gemma":[0.00009763845,0.00008559148,0.00227165,0.0001547962,0.00005485545,0.000009920303,0.0002201915,0.9684082,0.02043437,0.002783504,0.005172383,0.0003069287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07000881,0.0008335785,0.9100661,0.001182124,0.004507309,0.000344035,0.000004121991,0.0004332846,0.0126207],"genre_scores_gemma":[0.9567322,0.00006419905,0.01402129,0.0005977796,0.0002054114,0.000007541174,0.000001943502,0.0000210484,0.02834856],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8960447,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07873037848684696,"score_gpt":0.3472816358506216,"score_spread":0.2685512573637747,"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."}}