{"id":"W3133726157","doi":"10.2139/ssrn.3436213","title":"The Contingent Complementary Benefits of Dispute Resolution and Reputation Systems: Evidence from a Service Procurement Platform","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Procurement; Reputation; Dispute resolution; Business; Service (business); Industrial organization; Computer security; Risk analysis (engineering); Marketing; Computer science; Law; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009636296,0.0004089208,0.00079767,0.001422604,0.001961842,0.005067736,0.001418227,0.003557303,0.02728393],"category_scores_gemma":[0.06921709,0.0005201656,0.0006814341,0.001386339,0.003875258,0.006514585,0.003210091,0.003433682,0.001649482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001189959,"about_ca_system_score_gemma":0.00175151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070722,"about_ca_topic_score_gemma":0.001859733,"domain_scores_codex":[0.996341,0.001938082,0.0001894473,0.0002647126,0.0008520054,0.0004146937],"domain_scores_gemma":[0.8295476,0.1357032,0.01625746,0.01056453,0.004756228,0.003170944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.02717592,0.009706398,0.1807246,0.002563028,0.001380368,0.003817667,0.006833471,0.04146434,0.01225744,0.4709215,0.009960132,0.2331951],"study_design_scores_gemma":[0.005905895,0.006930602,0.2667206,0.0005643332,0.001863816,0.002401898,0.01238148,0.06214254,0.00727618,0.6113288,0.02201493,0.000468939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252838,0.0008184182,0.003363447,0.002035632,0.00005180451,0.00007399185,0.0001123707,0.00003087947,0.06822956],"genre_scores_gemma":[0.9976164,0.0001802887,0.0004024009,0.00007663409,0.00002241613,0.00001309485,0.00003060758,0.000007226253,0.00165104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02728393,"threshold_uncertainty_score":0.09127384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07362336132652417,"score_gpt":0.3386714439527067,"score_spread":0.2650480826261825,"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."}}