{"id":"W2239451669","doi":"","title":"La négociation du bien-être social utilitaire","year":2008,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Negotiation; Database transaction; Resource allocation; Computer science; Microeconomics; Resource (disambiguation); Order (exchange); Sequence (biology); Transaction cost; Social Welfare; Mathematical economics; Operations research; Business; Economics; Sociology; Mathematics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007521212,0.0005646846,0.0009877401,0.0003057846,0.001097018,0.0004742476,0.001383336,0.0009497649,0.0008026468],"category_scores_gemma":[0.001282176,0.0008102215,0.0006539265,0.0003703526,0.0007428291,0.0004046997,0.001208681,0.0009830336,0.0006213934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006647002,"about_ca_system_score_gemma":0.0002711202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002581147,"about_ca_topic_score_gemma":0.001200301,"domain_scores_codex":[0.9936774,0.002652659,0.001487904,0.001369272,0.0001267578,0.0006860084],"domain_scores_gemma":[0.9941112,0.001397616,0.001682245,0.001679476,0.0009148322,0.0002146148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000166644,0.0005176519,0.01336445,0.0001209611,0.000160374,0.000006874986,0.02227611,0.0001647005,0.00001404251,0.922085,0.003491939,0.03778127],"study_design_scores_gemma":[0.00174779,0.000001368608,0.04461025,0.0009038351,0.00007147482,0.00005743867,0.0008899425,0.04561405,0.0007277061,0.1229698,0.7808176,0.001588837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4611776,0.005546456,0.08004849,0.04644564,0.001603944,0.0006942441,0.001185235,0.000239106,0.4030593],"genre_scores_gemma":[0.9295422,0.01106237,0.008580402,0.000239732,0.0002106608,0.00009735821,0.0008146209,0.0001121121,0.04934059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7991152,"threshold_uncertainty_score":0.9994349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190761459033247,"score_gpt":0.2056667075064542,"score_spread":0.1865905616031295,"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."}}