{"id":"W4401943490","doi":"10.1109/cog60054.2024.10645611","title":"Recording and Describing Poker Hands","year":2024,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Computer graphics (images)","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":[0.0001753212,0.00005490671,0.0000492164,0.0000687814,0.0000621895,0.000531537,0.000194672,0.00002317364,0.00005266497],"category_scores_gemma":[0.00002903643,0.00004436209,0.00001984942,0.0002015013,0.00002685147,0.0005342013,0.0001572992,0.00006496494,0.0001551366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448496,"about_ca_system_score_gemma":0.00001745653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006043132,"about_ca_topic_score_gemma":0.00001483401,"domain_scores_codex":[0.999446,0.00001121853,0.00009638233,0.0002296711,0.00007994662,0.0001367258],"domain_scores_gemma":[0.9996864,0.00009978664,0.000006430415,0.0001487319,0.00001620629,0.00004247574],"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":[4.164231e-7,0.000002661343,0.0005535709,0.000006357366,0.000005114435,0.00002175371,0.0008020883,0.000008093615,0.001236493,0.3097925,0.003153668,0.6844172],"study_design_scores_gemma":[0.00002271212,0.00006579047,0.0001279291,0.0001405377,0.000004606033,0.00006249583,0.0001805647,0.863238,0.05733931,0.05890556,0.01966903,0.0002434573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04339059,0.0004001067,0.9357068,0.001940174,0.0005804681,0.00003780876,8.970169e-8,0.0004284497,0.01751549],"genre_scores_gemma":[0.9644186,0.00002815808,0.03321884,0.0001775689,0.00006272887,0.000002525705,7.369997e-8,0.000004601965,0.002086863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9210281,"threshold_uncertainty_score":0.5125623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07328073368430434,"score_gpt":0.2921461780954834,"score_spread":0.2188654444111791,"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."}}