{"id":"W2953974932","doi":"10.22215/etd/2015-11045","title":"Impartial Intersection Restriction Games","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Combinatorics; Combinatorial game theory; Graph; Mathematics; Arc (geometry); Intersection (aeronautics); Computer science; Sequential game; Game theory; Mathematical economics; Engineering; Geometry","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":[0.0002301828,0.0002077239,0.0001908701,0.0002719488,0.00007765124,0.0002618949,0.0006829288,0.0002637364,0.00008951368],"category_scores_gemma":[0.0001397589,0.0001939808,0.00009934642,0.0003943114,0.00001767214,0.0006163791,0.00005988722,0.0002765638,0.0007104122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001876007,"about_ca_system_score_gemma":0.0002433268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000541399,"about_ca_topic_score_gemma":0.001211502,"domain_scores_codex":[0.9984547,0.00005600246,0.0003645904,0.0004677582,0.0004229987,0.0002339128],"domain_scores_gemma":[0.9988379,0.00003812671,0.0002006391,0.0004807712,0.0003381677,0.0001044169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001381998,0.0001757353,0.0001195656,0.00005925544,0.00008720636,0.00002893343,0.009347947,0.0003395411,0.004417258,0.09539025,0.1980638,0.6918323],"study_design_scores_gemma":[0.0003556243,0.00147047,0.002927849,0.0004164182,0.0001335659,0.00005762537,0.01494625,0.1519647,0.3419987,0.4054798,0.07727344,0.002975541],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2519103,0.0004292346,0.4155595,0.0004968106,0.03250946,0.0007414955,0.000003859515,0.001990329,0.296359],"genre_scores_gemma":[0.954145,0.00007933938,0.005810496,0.00009881671,0.0008856713,0.00007132339,0.0001662631,0.00003805532,0.03870507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7022346,"threshold_uncertainty_score":0.9131148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0387709413294268,"score_gpt":0.3387751312614931,"score_spread":0.3000041899320662,"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."}}