{"id":"W4293565893","doi":"10.5281/zenodo.10939686","title":"Circular Nim Games CN(7,4)","year":2021,"lang":"en","type":"preprint","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Combinatorics; Position (finance); Set (abstract data type); Security token; Mathematics; Combinatorial game theory; Discrete mathematics; Computer science; Game theory; Sequential game; Mathematical economics","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":[0.0006074741,0.001076872,0.0008720459,0.001437652,0.00255987,0.0030572,0.001754139,0.001947425,0.1148703],"category_scores_gemma":[0.001765307,0.0002934207,0.0007948384,0.001184473,0.001381675,0.003746914,0.002228435,0.002607929,0.0194811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089576,"about_ca_system_score_gemma":0.001579084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560612,"about_ca_topic_score_gemma":0.006983588,"domain_scores_codex":[0.9992385,0.0001661469,0.0000300004,0.0001152692,0.0001790546,0.0002710754],"domain_scores_gemma":[0.9993456,0.0001529212,0.00005069848,0.00009608393,0.0001884358,0.0001661182],"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":[0.0001100487,0.00004737459,0.00009512633,0.00009271038,0.00001216242,0.00007775582,0.00006117196,0.0007196603,0.0006463607,0.9494472,0.03850283,0.01018749],"study_design_scores_gemma":[0.00008046011,0.00002332665,0.0002264156,0.00003030147,0.00001055125,0.0001045893,0.00009208282,0.004920636,0.000949434,0.910987,0.08255044,0.00002472863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04037049,0.0004139633,0.09307586,0.002611672,0.001254656,0.0005703455,0.0043127,0.000896861,0.8564935],"genre_scores_gemma":[0.4220746,0.0006811272,0.05215383,0.002028572,0.0003439793,0.001114112,0.006152717,0.001128768,0.5143223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1148703,"threshold_uncertainty_score":0.3842795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06455875400069923,"score_gpt":0.2782248719946737,"score_spread":0.2136661179939744,"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."}}