{"id":"W2406120758","doi":"","title":"A Note on Upper Generalized Exponents of Tournaments.","year":2014,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Pure mathematics; Mathematical economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003442327,0.0001417523,0.0002177147,0.0001079358,0.0000756583,0.00005782453,0.0009839379,0.00006789641,0.0000355069],"category_scores_gemma":[0.0001735941,0.0001305878,0.00009128817,0.0002395068,0.00005802704,0.0002278517,0.000205188,0.0001208291,0.0002516419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004977677,"about_ca_system_score_gemma":0.00002821287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005427843,"about_ca_topic_score_gemma":0.000001774119,"domain_scores_codex":[0.998552,0.0001247714,0.0003319064,0.000308697,0.000413896,0.0002687095],"domain_scores_gemma":[0.9987429,0.0001641872,0.0001563594,0.0007362411,0.0001037539,0.00009649499],"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":[0.0000122715,0.0001544122,0.001212434,0.000004456822,0.00001156581,0.000002645688,0.0005536139,0.00007329143,0.003924786,0.9581289,0.0008653776,0.0350563],"study_design_scores_gemma":[0.0004794476,0.000403075,0.002307011,0.0000594787,0.000006949555,0.000002840588,0.00001605651,0.02726356,0.2017368,0.7598346,0.00761279,0.0002774737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700473,0.00003268029,0.02045172,0.0006113269,0.003402805,0.0001498767,8.294243e-7,0.0001059812,0.005197464],"genre_scores_gemma":[0.993282,0.00001018236,0.006040121,0.0004123523,0.00001369556,0.00001075119,7.830648e-7,0.00001180743,0.0002182628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1982943,"threshold_uncertainty_score":0.5325215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284113028664316,"score_gpt":0.2829236461014747,"score_spread":0.2600825158148315,"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."}}