{"id":"W2032553706","doi":"10.1016/j.orl.2013.04.002","title":"Game theory to a friend’s rescue","year":2013,"lang":"en","type":"article","venue":"Operations Research Letters","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Game theory; Computer science; Psychology; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009427149,0.00008762092,0.00008271907,0.0002854054,0.0004629956,0.001084158,0.001258291,0.0000317588,0.0002543841],"category_scores_gemma":[0.0001960104,0.00006924534,0.00002852524,0.0006981964,0.00007698259,0.001269456,0.0008097259,0.0002831417,0.003311202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006182735,"about_ca_system_score_gemma":0.00007741674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007352426,"about_ca_topic_score_gemma":0.00004256851,"domain_scores_codex":[0.9979918,0.0003991523,0.0001516074,0.0004055073,0.0005923043,0.0004596183],"domain_scores_gemma":[0.9983976,0.0001360555,0.000004688911,0.0009714404,0.0002517967,0.0002383911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000101527,0.0001680783,0.00005176714,0.00001206544,0.00002631716,0.00004643614,0.004613219,0.01826337,0.157535,0.2330044,0.4088427,0.1774264],"study_design_scores_gemma":[0.0006642265,0.0003203432,0.00516155,0.0001189806,0.00000263043,0.00002917898,0.0004964783,0.7254197,0.01147567,0.005841671,0.2497677,0.0007018075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07584103,0.00002832235,0.8836715,0.03821202,0.0001475198,0.0005555182,0.0000062984,0.00008902285,0.001448717],"genre_scores_gemma":[0.7071477,0.00001663028,0.2787228,0.009225816,0.0003617143,0.0008644942,0.00003189762,0.00002544222,0.003603557],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7071564,"threshold_uncertainty_score":0.9999528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051551192477621,"score_gpt":0.3415616473245901,"score_spread":0.3010461353998139,"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."}}