{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003357976,0.00008145023,0.00008737884,0.0003684046,0.0003755022,0.000223643,0.0001327222,0.00001557221,0.0001559748],"category_scores_gemma":[0.00002776705,0.00008226395,0.00002458297,0.0002833713,0.000009227322,0.00220407,0.0001316399,0.0009658644,0.000009220001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066145,"about_ca_system_score_gemma":0.0001829607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003169248,"about_ca_topic_score_gemma":0.0002844984,"domain_scores_codex":[0.9987718,0.00004333752,0.0001983741,0.00007245215,0.0001828591,0.0007311901],"domain_scores_gemma":[0.9997404,0.00004532453,0.0001326795,0.00005174863,0.00002389424,0.000005981642],"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":[0.0006845624,0.00008296117,0.1363895,0.0000644531,0.00006228963,0.00001979097,0.0008744019,0.001924773,0.0003352047,0.2406576,0.0004292734,0.6184752],"study_design_scores_gemma":[0.003885217,0.0001114374,0.08694179,0.00005446961,0.0001526209,0.0009572875,0.04153617,0.006621502,0.00000720743,0.7261813,0.1326412,0.0009097565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869645,0.0007310744,0.005486118,0.001043669,0.0002358184,0.0001666545,4.164555e-7,0.00003788765,0.005333812],"genre_scores_gemma":[0.9990836,0.0002513176,0.00004563473,0.0003721394,0.00008885481,0.00001023363,0.000002964294,0.000006802063,0.0001384418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6175655,"threshold_uncertainty_score":0.4196254,"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."}}