{"id":"W2132071928","doi":"10.37236/1600","title":"The Game of End-Nim","year":2001,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; String (physics); Mathematics; Combinatorial game theory; Stack (abstract data type); Sequential game; Computer science; Mathematical economics; Game theory; Mathematical physics; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00202574,0.0001083914,0.0001904959,0.00006496274,0.0001748604,0.00008301326,0.002660658,0.00004117744,0.000008145776],"category_scores_gemma":[0.0002286793,0.00005813695,0.0001437916,0.0006286732,0.0001681104,0.0002574048,0.0001474945,0.0005890966,0.00001377741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658168,"about_ca_system_score_gemma":0.000478179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001100587,"about_ca_topic_score_gemma":0.0000107848,"domain_scores_codex":[0.9980924,0.0001739867,0.0005424937,0.00009110104,0.0005863019,0.0005137022],"domain_scores_gemma":[0.9977133,0.0007334542,0.0005799708,0.0005293,0.0003897845,0.00005422656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001977907,0.00005463442,0.0001799605,0.000001171464,0.00003806775,0.000006597372,0.0004783774,0.0001396873,0.0002775662,0.9815277,0.0003564001,0.0169201],"study_design_scores_gemma":[0.0001099472,0.0004976746,0.0001918048,0.0000124668,0.00001494242,0.0002846576,0.0001497172,0.00223879,0.01133319,0.950024,0.03506711,0.00007570055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3323987,0.01621544,0.6325439,0.01222469,0.002233037,0.0002045854,2.332837e-7,0.00004125739,0.004138242],"genre_scores_gemma":[0.9963087,0.00305087,0.00003707899,0.00007241068,0.00009005035,0.000001137633,2.716396e-8,0.000007779938,0.0004318982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6639101,"threshold_uncertainty_score":0.4944208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269252635933079,"score_gpt":0.2589302169930107,"score_spread":0.2462376906336799,"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."}}