{"id":"W2908948862","doi":"10.1109/smc.2018.00085","title":"Option Effectiveness in Conflict Resolution","year":2018,"lang":"en","type":"article","venue":"","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ranking (information retrieval); Conflict resolution; Extension (predicate logic); Computer science; Operations research; China; Resolution (logic); Management science; Risk analysis (engineering); Economics; Engineering; Artificial intelligence; Business; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002407719,0.00003880993,0.00007312724,0.000114299,0.0000706632,0.00004467343,0.0002042157,0.00003349765,0.0004010972],"category_scores_gemma":[0.0005185337,0.00002757912,0.00002148804,0.0005526046,0.0001146666,0.0001392946,0.00003426808,0.00003881403,0.002724852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001851808,"about_ca_system_score_gemma":0.00001125396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002885509,"about_ca_topic_score_gemma":0.00006724877,"domain_scores_codex":[0.9990718,0.000241793,0.0001734198,0.0001986653,0.0002221534,0.00009211294],"domain_scores_gemma":[0.9989132,0.0006326108,0.00003689013,0.0002713036,0.000117896,0.00002808744],"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":[0.00008275131,0.00005860993,0.006245716,9.217009e-7,0.000001534092,4.20187e-7,0.0002565864,0.00009705153,0.02243373,0.9335365,0.0006830072,0.03660316],"study_design_scores_gemma":[0.0003672458,0.00009032278,0.4210259,0.00001081743,0.000001717386,0.000003202553,0.0003581899,0.004688638,0.0216809,0.5102751,0.04140147,0.00009647727],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8442929,0.000006695324,0.108571,0.0001896726,0.00007642924,0.0001281956,9.520492e-7,0.00002693113,0.04670721],"genre_scores_gemma":[0.9978434,8.874034e-7,0.0003916182,0.00007371503,0.00005750961,0.00002011167,7.557638e-7,0.000001936697,0.001610016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4232614,"threshold_uncertainty_score":0.9980516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1828050421486521,"score_gpt":0.4624986567086867,"score_spread":0.2796936145600346,"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."}}