{"id":"W1717026707","doi":"10.1023/a:1023072922126","title":"The Montreal Taxonomy for Electronic Negotiations","year":2003,"lang":"en","type":"article","venue":"Group Decision and Negotiation","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":168,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Negotiation; Electronic markets; Common value auction; Variety (cybernetics); Domain (mathematical analysis); Business; Industrial organization; Electronic trading; Field (mathematics); Computer science; Commerce; Marketing; Economics; Microeconomics; The Internet; Sociology; World Wide Web; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002204248,0.001237214,0.0008947162,0.005286953,0.005666718,0.01297119,0.003845628,0.004434258,0.04920096],"category_scores_gemma":[0.009935865,0.001009332,0.00116557,0.0114313,0.008350486,0.0194985,0.003970491,0.003946063,0.008046771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009281912,"about_ca_system_score_gemma":0.008402495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0623752,"about_ca_topic_score_gemma":0.05145061,"domain_scores_codex":[0.996981,0.001124413,0.0002469192,0.0004133557,0.0008323031,0.0004019473],"domain_scores_gemma":[0.9971532,0.0009260066,0.0002320383,0.0006966756,0.0007204426,0.0002715834],"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":[0.000001325687,0.000001617912,0.00002164711,0.00001155489,7.73738e-7,0.000006222085,0.0000704483,0.0001466906,0.000009150044,0.9931812,0.003215566,0.003333787],"study_design_scores_gemma":[0.00000486703,0.000004053024,0.00008777174,0.00006111418,0.000003299412,0.00003942247,0.0001939619,0.001785941,0.00003822933,0.8691854,0.1285841,0.0000118688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003131197,0.009964544,0.377136,0.009089045,0.0008564988,0.0003508742,0.001217049,0.0005974771,0.5976573],"genre_scores_gemma":[0.3069025,0.02202065,0.4030828,0.002733133,0.00166177,0.001895496,0.002837098,0.0006186003,0.258248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0623752,"threshold_uncertainty_score":0.1645936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0568834372388296,"score_gpt":0.3341905950538993,"score_spread":0.2773071578150697,"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."}}