{"id":"W165596894","doi":"","title":"A polynomial-time algorithm for action-graph games","year":2006,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Graph; Time complexity; Representation (politics); Mathematics; Polynomial; Bounded function; Theoretical computer science; Context (archaeology); Computer science; Algorithm; Discrete mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001790717,0.0001830321,0.0002301914,0.0003844682,0.0003973072,0.0003950776,0.0006933276,0.0001113625,0.002154955],"category_scores_gemma":[0.001186717,0.0001575089,0.0001733949,0.0007841294,0.0002557827,0.0002566307,0.00003813329,0.000152009,0.003623519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006150048,"about_ca_system_score_gemma":0.000241583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000382283,"about_ca_topic_score_gemma":0.00006005174,"domain_scores_codex":[0.9970394,0.0001173818,0.0007520819,0.0005961537,0.001217379,0.0002775687],"domain_scores_gemma":[0.99568,0.002110654,0.0002687743,0.0003131659,0.001538501,0.00008884898],"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":[0.00004640556,0.0001713672,0.000006906972,7.395284e-7,0.000006268843,3.276891e-7,0.00003776781,0.0009561442,0.005621312,0.5474086,0.01306276,0.4326814],"study_design_scores_gemma":[0.00003512753,0.00007216541,0.00025959,0.000007107263,0.000005466434,0.000002442318,0.0002234814,0.0878851,0.03216468,0.8612128,0.01794606,0.0001859262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01577238,0.00002067143,0.9234517,0.005708926,0.0004723719,0.0007244367,0.0003936121,0.0001444512,0.0533115],"genre_scores_gemma":[0.9823365,0.0000036499,0.008741152,0.00037283,0.0005319407,0.0001962829,0.00004927987,0.00001310752,0.007755314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9665641,"threshold_uncertainty_score":0.9987572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.275005480657108,"score_gpt":0.4442738635759108,"score_spread":0.1692683829188028,"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."}}