{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008095333,0.0009925687,0.0005197468,0.001989394,0.0002955057,0.0007481363,0.0008257602,0.0005088302,0.00227775],"category_scores_gemma":[0.004094646,0.000149877,0.000465734,0.001100636,0.0002118959,0.0007294213,0.0004285696,0.000951624,0.001390244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005881921,"about_ca_system_score_gemma":0.0006020201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133671,"about_ca_topic_score_gemma":0.02008566,"domain_scores_codex":[0.9994509,0.0001347185,0.00003553063,0.0001543273,0.0001376699,0.00008696289],"domain_scores_gemma":[0.9984502,0.0007805711,0.0001882492,0.0001057343,0.0003663501,0.0001088649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005884382,0.001659427,0.2518394,0.0002144767,0.0003305747,0.0002719856,0.0001030536,0.2817478,0.003317129,0.002117809,0.01888113,0.4389287],"study_design_scores_gemma":[0.000035203,0.0002054553,0.03581854,0.00003697696,0.00002956383,0.00005070194,0.00006235512,0.9550844,0.002708985,0.003387029,0.002556626,0.00002412419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374863,0.001637985,0.1373718,0.0007470354,0.0002654086,0.0003249676,0.006940701,0.002483123,0.01274272],"genre_scores_gemma":[0.9631999,0.0002212892,0.02640998,0.00007405801,0.00005311852,0.00008296762,0.007666207,0.00002786551,0.002264682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01133671,"threshold_uncertainty_score":0.02254146,"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."}}