{"id":"W4313031184","doi":"10.2139/ssrn.4283968","title":"Matching and Information Design in Marketplaces","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"European Commission","keywords":"Matching (statistics); Computer science; Business; Information retrieval; Knowledge management; Data science; Mathematics; Statistics","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":[0.007617042,0.0004343391,0.001267278,0.002185139,0.001948849,0.007797916,0.001654957,0.003860574,0.02209653],"category_scores_gemma":[0.04902038,0.0009218464,0.001240672,0.002887419,0.003438911,0.01419359,0.002470064,0.001328516,0.001977223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286821,"about_ca_system_score_gemma":0.001976744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975455,"about_ca_topic_score_gemma":0.00103711,"domain_scores_codex":[0.9933182,0.003698056,0.0005036837,0.0009007358,0.0009411594,0.0006380957],"domain_scores_gemma":[0.9666777,0.02419059,0.002416939,0.003498254,0.002109111,0.001107434],"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":[0.0003644516,0.0002528417,0.003951456,0.0001483767,0.00005127491,0.0001774434,0.000611115,0.012995,0.001008297,0.932864,0.001830258,0.04574537],"study_design_scores_gemma":[0.00007973773,0.00009135344,0.000614831,0.00002248433,0.0000302976,0.0001034938,0.0002660207,0.05392027,0.0009484296,0.9410666,0.002836004,0.00002051625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3633912,0.001600288,0.5512987,0.007042175,0.0002075506,0.0004024419,0.0003934941,0.0007506399,0.07491359],"genre_scores_gemma":[0.9663923,0.0002603951,0.02419707,0.0001754746,0.00006682993,0.00005871804,0.000109101,0.0000476831,0.008692379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02209653,"threshold_uncertainty_score":0.07392019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848634896423243,"score_gpt":0.2066008134752723,"score_spread":0.1981144645110399,"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."}}