{"id":"W3038055381","doi":"10.22266/ijies2020.0831.19","title":"HOGO: Hide Objects Game Optimization","year":2020,"lang":"en","type":"article","venue":"International journal of intelligent engineering and systems","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; University of Calgary","funders":"Villum Fonden","keywords":"Computer science; Human–computer interaction; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0002647689,0.0001245898,0.0001953114,0.0001737798,0.0000174744,0.0003264554,0.000779134,0.00004910646,0.000008726966],"category_scores_gemma":[0.0003818551,0.0001105251,0.0000790758,0.0001483759,0.00001700856,0.0004653542,0.0001038799,0.0001717687,0.00001536333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006256757,"about_ca_system_score_gemma":0.00004218398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001177484,"about_ca_topic_score_gemma":2.377943e-7,"domain_scores_codex":[0.9986068,0.00002945158,0.0005957153,0.0001540303,0.0004787326,0.0001352453],"domain_scores_gemma":[0.9988789,0.0001245092,0.0002555135,0.0001005056,0.000473233,0.0001673419],"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":[0.00001154957,0.00001542781,0.000188115,0.00001650656,0.00008811725,0.00008736299,0.001752561,0.9846683,0.001143725,0.007274678,0.0001634216,0.004590228],"study_design_scores_gemma":[0.00006304633,0.0001035486,0.00002601687,0.0001314672,0.000005397324,0.0002759183,0.0002264534,0.9900247,0.005221417,0.00005383658,0.003752661,0.0001155636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01261407,0.001188813,0.982303,0.0009676776,0.002680841,0.00006373777,0.000001536514,0.00005717347,0.000123186],"genre_scores_gemma":[0.9870328,0.0003006424,0.01185833,0.000129019,0.0006381699,0.000001957319,7.361141e-7,0.00001107769,0.00002727854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9744187,"threshold_uncertainty_score":0.4507082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264369011515055,"score_gpt":0.2498708118485139,"score_spread":0.2234339106970084,"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."}}