{"id":"W2116123331","doi":"","title":"A general solution to the graph history interaction problem","year":2004,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Correctness; Computer science; Graph; Theoretical computer science; Overhead (engineering); Algorithm; Programming language","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":[0.0001754076,0.00007050513,0.00005031831,0.00007694333,0.00009065089,0.00005821608,0.0005496881,0.00002569651,0.00004703958],"category_scores_gemma":[0.00002582753,0.00004836862,0.00004521164,0.0001964313,0.00003139934,0.0004164788,0.0001332253,0.00008793796,0.0006069266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003639523,"about_ca_system_score_gemma":0.00006656713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127355,"about_ca_topic_score_gemma":0.00117974,"domain_scores_codex":[0.9992725,0.00002266318,0.0001492609,0.0002180879,0.0001632402,0.0001742011],"domain_scores_gemma":[0.9994931,0.00002217951,0.00003765587,0.0003354553,0.00006050026,0.00005109574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000098229,0.0001058927,0.00007368662,0.000003756153,0.00001294858,0.000005378632,0.008739978,0.03685046,0.01545981,0.7463154,0.04399607,0.1484268],"study_design_scores_gemma":[0.0001341839,0.0004927905,0.001225002,0.00007308603,0.00001177763,0.00008405073,0.0004461553,0.08383629,0.09287227,0.1810419,0.6390684,0.0007140943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00944862,0.00004993258,0.9669109,0.01100908,0.001071685,0.0001784127,9.837239e-8,0.0001784845,0.01115281],"genre_scores_gemma":[0.8818224,0.00000565382,0.1125944,0.003031059,0.0001755595,0.00004708542,3.545677e-7,0.000005906995,0.002317583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8723738,"threshold_uncertainty_score":0.7801015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660027155423881,"score_gpt":0.2794680005227006,"score_spread":0.2328677289684618,"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."}}