{"id":"W1910348819","doi":"10.7202/028843ar","title":"Final-Offer-Selection VS Last-Offer-by-Issue. Systems of Arbitration","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arbitration; Selection (genetic algorithm); Outcome (game theory); Process (computing); Computer science; Law and economics; Operations research; Economics; Mathematical economics; Political science; Law; Mathematics; Artificial intelligence; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01940317,0.0005650914,0.0008483948,0.001214378,0.002300292,0.006295105,0.002506214,0.002329333,0.01852662],"category_scores_gemma":[0.05243026,0.000563082,0.0009045506,0.0009708285,0.00243158,0.004924433,0.003100416,0.002372885,0.003261823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002076892,"about_ca_system_score_gemma":0.001762447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254479,"about_ca_topic_score_gemma":0.00152267,"domain_scores_codex":[0.9853495,0.008311832,0.000712163,0.001503862,0.002600578,0.001522103],"domain_scores_gemma":[0.9460889,0.0323416,0.008829111,0.007043694,0.003867603,0.001829058],"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":[0.002385676,0.0009560364,0.02632379,0.0003714576,0.0002292016,0.0003185539,0.001612479,0.02873964,0.00618316,0.7798758,0.008017606,0.1449867],"study_design_scores_gemma":[0.001359909,0.002290849,0.03128793,0.0001149825,0.0004295258,0.001064058,0.001549841,0.3735492,0.01330861,0.5447389,0.03002835,0.0002778124],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4855574,0.001555818,0.2840313,0.00338815,0.0006421471,0.0009610337,0.0005631772,0.0009649097,0.2223361],"genre_scores_gemma":[0.9721274,0.0001067697,0.01890906,0.000240352,0.0001072367,0.0001112304,0.00008622777,0.00004332944,0.008268379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940317,"threshold_uncertainty_score":0.102615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294098030874958,"score_gpt":0.2218089204020228,"score_spread":0.1888679400932732,"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."}}