{"id":"W2625881458","doi":"10.1007/s11518-017-5351-7","title":"Analyzing market competition between Airbus and Boeing using a duo hierarchical graph model for conflict resolution","year":2017,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Centre for International Governance Innovation; Balsillie School of International Affairs; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Graph; Competition (biology); Operations research; Resolution (logic); Computer science; Industrial organization; Engineering; Business; Artificial intelligence; Theoretical computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001842128,0.0007521976,0.001168605,0.001626663,0.0009552786,0.001827026,0.001741552,0.001583178,0.004768035],"category_scores_gemma":[0.00638061,0.0007084923,0.001017619,0.001677723,0.001060319,0.002430787,0.001056016,0.001272438,0.0002027175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889774,"about_ca_system_score_gemma":0.001886141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05907339,"about_ca_topic_score_gemma":0.0547104,"domain_scores_codex":[0.9989181,0.0006761121,0.00002363703,0.0001272392,0.00007421728,0.0001808848],"domain_scores_gemma":[0.9920169,0.006850506,0.0004028745,0.000147433,0.0002605731,0.0003217299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000143976,0.0001278143,0.00216331,0.00004243266,0.00007969725,0.000113088,0.00008795942,0.9648071,0.0004043576,0.02814453,0.0005204258,0.003365324],"study_design_scores_gemma":[0.00001088616,0.00001708127,0.0003068928,0.000001875081,0.00001032291,0.000005155196,0.00005381575,0.9954664,0.00003372071,0.004001332,0.00008756067,0.000004983833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8628988,0.0003097036,0.1254006,0.0006300681,0.00003988289,0.0001361013,0.0003918012,0.00008568991,0.01010738],"genre_scores_gemma":[0.9854673,0.00008321995,0.01212023,0.00004263471,0.0000105729,0.00004423004,0.0001716207,0.00002240721,0.002037745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05907339,"threshold_uncertainty_score":0.1174591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383296318253618,"score_gpt":0.3670021812419475,"score_spread":0.2286725494165857,"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."}}