{"id":"W2235120461","doi":"10.37236/5417","title":"Guaranteed Scoring Games","year":2016,"lang":"en","type":"preprint","venue":"The Electronic Journal of Combinatorics","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; Killam Trusts","keywords":"Monoid; Congruence (geometry); Quotient; Mathematics; Combinatorial game theory; Class (philosophy); Property (philosophy); Combinatorics; Order (exchange); Characterization (materials science); Inverse; Discrete mathematics; Computer science; Mathematical economics; Game theory; Sequential game; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205946,0.0007054412,0.0007976305,0.0008821065,0.001623728,0.003330285,0.001341159,0.001069327,0.009874101],"category_scores_gemma":[0.004169355,0.0003163344,0.001015097,0.000705621,0.002883143,0.003706797,0.002261441,0.001842798,0.001209941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543905,"about_ca_system_score_gemma":0.001165603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002481989,"about_ca_topic_score_gemma":0.002296687,"domain_scores_codex":[0.9973589,0.0007004745,0.0002190955,0.0006270108,0.000703696,0.000390785],"domain_scores_gemma":[0.9982874,0.0006548504,0.000179303,0.0003176068,0.0003168982,0.0002438622],"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":[0.00003526134,0.00002334654,0.0003413024,0.00003262602,0.0000102885,0.00004960056,0.000194748,0.001369725,0.0006042136,0.9865513,0.001274385,0.009513083],"study_design_scores_gemma":[0.00002678994,0.00004336063,0.0003284553,0.00002435416,0.00001234048,0.0001133182,0.0001196572,0.01243963,0.0007390244,0.9673041,0.01883222,0.0000167284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1603381,0.0007335924,0.6612749,0.00151028,0.0002798727,0.0004964554,0.00117327,0.0007738178,0.1734197],"genre_scores_gemma":[0.829677,0.0003741386,0.1289362,0.0005747078,0.000190653,0.000386894,0.001041356,0.0001725462,0.03864638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009874101,"threshold_uncertainty_score":0.03303218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957512493069027,"score_gpt":0.2739163162272167,"score_spread":0.2543411912965264,"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."}}