{"id":"W3183186537","doi":"10.3982/te3665","title":"Revenue from matching platforms","year":2021,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation","keywords":"Economics; Microeconomics; Matching (statistics); Revenue; Homogeneity (statistics); Contrast (vision); Econometrics; Revenue management; Computer 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":[0.002298491,0.0009322908,0.001475804,0.0008128753,0.0008181456,0.003168605,0.001981761,0.00255177,0.01506658],"category_scores_gemma":[0.012319,0.0004869254,0.0007964703,0.001068188,0.0009850716,0.004722957,0.002565159,0.001622037,0.002098104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234231,"about_ca_system_score_gemma":0.00129063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000600004,"about_ca_topic_score_gemma":0.0004002513,"domain_scores_codex":[0.998592,0.0005257669,0.00006394145,0.0002212409,0.0002831693,0.0003138538],"domain_scores_gemma":[0.9971024,0.001475332,0.0003664258,0.0004598781,0.0002135367,0.0003824424],"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":[0.0006934353,0.0004651042,0.003067261,0.0003761616,0.0001271846,0.0007069142,0.0001743708,0.1365815,0.006095103,0.7629125,0.01308552,0.07571504],"study_design_scores_gemma":[0.0002266251,0.0003850774,0.002044899,0.00009056927,0.00007895984,0.0007968131,0.0002487286,0.3171895,0.002317964,0.6669084,0.009660694,0.00005169145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4266684,0.001623109,0.3718281,0.005073693,0.0005273557,0.0005390233,0.001245404,0.0005587765,0.191936],"genre_scores_gemma":[0.9729384,0.0004608648,0.0145723,0.0002160926,0.0001494736,0.0001266895,0.0002291578,0.00007387021,0.01123311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01506658,"threshold_uncertainty_score":0.05040276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417026244484652,"score_gpt":0.3382103280852857,"score_spread":0.2840400656404392,"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."}}