{"id":"W2096877261","doi":"","title":"The Taming of Two Alley CATs","year":2012,"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 Guelph","funders":"","keywords":"Combinatorics; Mathematics; Alley; Graph; Vertex (graph theory); Sequence (biology); Computer science; Theoretical computer science; Discrete mathematics; Geography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001677783,0.0006318779,0.0007365545,0.0005070437,0.00167545,0.00190457,0.001705604,0.001362183,0.007951554],"category_scores_gemma":[0.0141059,0.0004409432,0.000951706,0.0005278571,0.003027618,0.003950751,0.002931486,0.001617672,0.0008508158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009569834,"about_ca_system_score_gemma":0.001370472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688289,"about_ca_topic_score_gemma":0.001804108,"domain_scores_codex":[0.9981279,0.0007395132,0.00007436721,0.0003926143,0.0003104555,0.0003552398],"domain_scores_gemma":[0.9941214,0.003069909,0.0004497213,0.001377747,0.0003780122,0.0006031332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001470321,0.0003710224,0.007036972,0.0002840396,0.0001850434,0.001142015,0.001776109,0.09928524,0.009557253,0.7580153,0.008786281,0.1120904],"study_design_scores_gemma":[0.000272063,0.0007234516,0.00179153,0.00007615211,0.0001310511,0.0007915822,0.0006910291,0.4479498,0.008882781,0.5166045,0.02201533,0.00007068914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7021111,0.000280105,0.2536261,0.002222285,0.0001722673,0.0002518622,0.0002495324,0.001027282,0.04005956],"genre_scores_gemma":[0.9409576,0.00008757648,0.0496646,0.0002129574,0.00002133872,0.0000828895,0.0001591611,0.0001022563,0.008711647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007951554,"threshold_uncertainty_score":0.0266006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04575716196901032,"score_gpt":0.3229091466975813,"score_spread":0.2771519847285709,"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."}}