{"id":"W3080963199","doi":"10.22266/ijies2020.1031.45","title":"Football Game Based Optimization: an Application to Solve Energy Commitment Problem","year":2020,"lang":"en","type":"article","venue":"International journal of intelligent engineering and systems","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Villum Fonden","keywords":"Computer science; Football; Mathematical optimization; Operations research; Mathematics; Political science","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":[0.0003530082,0.0008462177,0.0007378243,0.0005117791,0.0004542583,0.0006580713,0.0005464007,0.00081792,0.003354709],"category_scores_gemma":[0.0007541159,0.0002445038,0.0005177497,0.0006838673,0.0002748042,0.0004384517,0.0005780939,0.0006780874,0.000254925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004109357,"about_ca_system_score_gemma":0.0005644512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009874688,"about_ca_topic_score_gemma":0.006080302,"domain_scores_codex":[0.9998183,0.00006689174,0.00000911977,0.00003398658,0.00004521225,0.00002656703],"domain_scores_gemma":[0.999838,0.00009338855,0.00001632499,0.000007644766,0.00003213699,0.00001242334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005711335,0.0000655502,0.001006061,0.0001570091,0.00004073957,0.0001159317,0.00003159261,0.9325256,0.001884703,0.006844529,0.001376479,0.05589461],"study_design_scores_gemma":[0.000008198607,0.00003311117,0.0002307729,0.00000900732,0.000006814103,0.00002654832,0.0000115548,0.9959691,0.0004439683,0.001860898,0.001396183,0.000003912379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03620866,0.001367369,0.9435249,0.0004106607,0.0001493072,0.0001729389,0.0001337671,0.0004089286,0.01762359],"genre_scores_gemma":[0.7294863,0.001380161,0.2596697,0.0002244187,0.00008588827,0.0002662602,0.0002271681,0.0001114146,0.008548586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009874688,"threshold_uncertainty_score":0.01963443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494442093663609,"score_gpt":0.2566309651829805,"score_spread":0.2316865442463444,"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."}}