{"id":"W2030117041","doi":"10.1111/j.0824-7935.2004.00259.x","title":"Negotiating Exchanges of P3p‐Labeled Information for Compensation","year":2004,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Negotiation; Compensation (psychology); Private information retrieval; Protocol (science); Value (mathematics); Commodity; Space (punctuation); Computer science; Information exchange; Microeconomics; Computer security; Business; Telecommunications; Economics; Psychology; Social psychology; Finance; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0009200972,0.00007834595,0.0001347318,0.0001973628,0.0001912293,0.00009618261,0.0003138327,0.00004141745,0.00008853993],"category_scores_gemma":[0.001277144,0.0000699726,0.00006392234,0.0005438245,0.0001065183,0.0006257393,0.00003736869,0.00005214133,0.0002060684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003599288,"about_ca_system_score_gemma":0.00008356086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174454,"about_ca_topic_score_gemma":0.000002671614,"domain_scores_codex":[0.998515,0.00004000098,0.0006799718,0.0001594767,0.0005022425,0.0001033789],"domain_scores_gemma":[0.9967592,0.001442321,0.0004567614,0.0001652899,0.001133113,0.00004334656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001136094,0.00001866416,0.00004015268,0.000003791447,0.000003416365,1.679461e-8,0.0005203467,0.5551018,0.00005667808,0.4217855,0.00009334704,0.0223649],"study_design_scores_gemma":[0.0001457727,0.00005412339,0.001238455,0.00001272824,0.000004962666,0.000003704345,0.001454528,0.13395,0.00410274,0.8566983,0.002248896,0.00008579507],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03395168,0.00003328464,0.9641061,0.0007684696,0.000198683,0.0003171343,0.00004184462,0.00003065143,0.0005520869],"genre_scores_gemma":[0.9615343,0.000002963445,0.03806584,0.0001659189,0.00005061248,0.00004881712,0.0000671379,0.000003586411,0.0000608048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9275826,"threshold_uncertainty_score":0.28534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1634126903018644,"score_gpt":0.4240360326895398,"score_spread":0.2606233423876753,"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."}}