{"id":"W3148866278","doi":"10.48550/arxiv.2103.16692","title":"On AO*, Proof Number Search and Minimax Search","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Minimax; Mathematics; Mathematical economics; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004191487,0.000313014,0.0003324608,0.0002095398,0.0001971489,0.0003959226,0.001738946,0.0003097717,0.0001762932],"category_scores_gemma":[0.00007080632,0.0003599144,0.000150492,0.0006402895,0.0002895687,0.000368505,0.003895211,0.0009838059,0.0002944337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001941187,"about_ca_system_score_gemma":0.0003934587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004184056,"about_ca_topic_score_gemma":0.0001004097,"domain_scores_codex":[0.9972153,0.0002877529,0.0002072995,0.001541914,0.0002348,0.0005128915],"domain_scores_gemma":[0.9976733,0.0002977101,0.00007014929,0.00139094,0.0003177298,0.000250184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001192524,0.0006219252,0.01700589,0.0003764483,0.0002710332,0.00368605,0.006376711,0.2746328,0.0002681166,0.6729379,0.0009218463,0.02278197],"study_design_scores_gemma":[0.0002122167,0.0001556993,0.001815127,0.0003372835,0.00003992611,0.00002860925,0.001088964,0.9320447,0.01516359,0.04786731,0.0002989424,0.0009475778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7460534,0.00004157167,0.24705,0.0002428239,0.000353964,0.0002865871,0.00000545786,0.0001196309,0.005846548],"genre_scores_gemma":[0.9937132,0.0001236262,0.002263555,0.0001263368,0.00006760745,0.000001215493,0.000006357511,0.00002094822,0.00367717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6574119,"threshold_uncertainty_score":0.9998853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1344679078719994,"score_gpt":0.2485302219547873,"score_spread":0.1140623140827879,"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."}}