{"id":"W7099808403","doi":"","title":"University of Alberta ALGORITHMS AND ASSESSMENT IN COMPUTER POKER","year":2014,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer program; Computer Applications; Computer programming; Term (time)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00185677,0.000746821,0.001040623,0.002332396,0.00161073,0.005303122,0.001254049,0.002258739,0.07774606],"category_scores_gemma":[0.01129192,0.0003736419,0.0005468321,0.003801804,0.002982018,0.002773067,0.001299251,0.002042004,0.009495435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007641075,"about_ca_system_score_gemma":0.005826488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0895202,"about_ca_topic_score_gemma":0.09603947,"domain_scores_codex":[0.9988031,0.0003881659,0.00007292451,0.0002316593,0.0004008986,0.0001032727],"domain_scores_gemma":[0.9920384,0.005538976,0.0002036016,0.0003222257,0.001342278,0.0005545479],"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":[0.0001236659,0.0001003052,0.002392299,0.0004646425,0.00003813625,0.000213244,0.0002561014,0.01402286,0.0002205881,0.645662,0.1710879,0.1654183],"study_design_scores_gemma":[0.0000378377,0.00003688471,0.002916831,0.0006342924,0.00003058576,0.0001902533,0.0002736952,0.02407132,0.0002175921,0.6137334,0.3578107,0.00004659668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009964691,0.08170485,0.06887279,0.04757608,0.005358164,0.00009950289,0.001374313,0.0005479161,0.7845017],"genre_scores_gemma":[0.2743534,0.08261834,0.08777098,0.002933955,0.004077232,0.0002069507,0.001535743,0.0005049926,0.5459984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0895202,"threshold_uncertainty_score":0.2600865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316659978905914,"score_gpt":0.1914970370312153,"score_spread":0.1683304372421562,"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."}}