{"id":"W2119038203","doi":"10.1007/978-3-319-07467-2_52","title":"Constraint and Qualitative Preference Specification in Multi-Attribute Reverse Auctions","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Common value auction; Computer science; Preference; Context (archaeology); Reverse auction; Constraint (computer-aided design); Process (computing); Product (mathematics); Outcome (game theory); Task (project management); Operations research; Microeconomics; Economics; Engineering; Mathematics; Systems engineering","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":[0.004582929,0.0002890505,0.0004308209,0.000893027,0.0003002384,0.0002854434,0.001041677,0.000232297,0.0001621043],"category_scores_gemma":[0.001349666,0.0002437268,0.0000678054,0.0008107796,0.002171424,0.0002922427,0.0002998585,0.0006247423,0.0001676636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001653163,"about_ca_system_score_gemma":0.0002197328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002012266,"about_ca_topic_score_gemma":0.0002134949,"domain_scores_codex":[0.996487,0.0002084866,0.000827688,0.001327247,0.0008484159,0.0003011232],"domain_scores_gemma":[0.995388,0.002691786,0.0004763478,0.0008943504,0.0004118531,0.0001377165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001928101,0.00007833928,0.0004230929,0.00001705252,0.00001014819,0.00000772677,0.01411724,0.0160079,0.0003736128,0.3825517,0.0001731432,0.5862207],"study_design_scores_gemma":[0.0004931823,0.00008771415,0.002712636,0.0002234526,0.000009844282,0.0000503202,0.00009150689,0.0361759,0.0004590051,0.9475958,0.01146808,0.0006325492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008684338,0.00007737831,0.9952639,0.001604307,0.0004398119,0.0004344973,0.00004238524,0.00003701799,0.001232247],"genre_scores_gemma":[0.8794483,0.0000584498,0.1167543,0.0005447656,0.0001953182,0.00003521861,0.00001357673,0.00001833474,0.002931738],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8785799,"threshold_uncertainty_score":0.9938889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2340004342799485,"score_gpt":0.4053648708442709,"score_spread":0.1713644365643224,"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."}}