{"id":"W2115158412","doi":"10.1287/mnsc.1120.1577","title":"First-Party Content and Coordination in Two-Sided Markets","year":2012,"lang":"en","type":"article","venue":"Management Science","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":307,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Third party; Content (measure theory); Constraint (computer-aided design); Microeconomics; Business; Key (lock); Face (sociological concept); Economics; Industrial organization; Computer science; Computer security; Internet privacy","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":[0.0009184413,0.00009180044,0.00008875061,0.0003097168,0.0001941666,0.0009675108,0.0001957225,0.000009735267,0.00005355856],"category_scores_gemma":[0.00004959856,0.00008251893,0.00001576281,0.0004300794,0.000145421,0.009216164,0.000367551,0.0000343917,0.0002298437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005193035,"about_ca_system_score_gemma":0.000002830059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001540234,"about_ca_topic_score_gemma":0.0001421039,"domain_scores_codex":[0.999108,4.689373e-7,0.0001623252,0.0002117849,0.0001531175,0.000364277],"domain_scores_gemma":[0.9997325,0.0000136478,0.00007676942,0.0001346646,0.00002189046,0.00002053682],"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":[0.00002282974,0.0001273529,0.317188,0.0001148129,0.000007469594,0.000004780096,0.00006744395,0.0001445003,0.00004592722,0.6603794,0.002123853,0.0197736],"study_design_scores_gemma":[0.0008077907,0.00000358746,0.9275529,0.0000486301,0.00001132506,0.000001059548,0.0009273199,0.02054629,0.00001872359,0.01034091,0.0394916,0.0002498715],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8317149,0.00001832909,0.00007162555,0.0003767314,0.0002804579,0.0001940266,2.109365e-7,0.00002843574,0.1673153],"genre_scores_gemma":[0.997919,0.000003850281,0.0001800424,0.0008800958,0.00009286939,0.00001504601,0.000002769745,0.000005506095,0.0009008652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6500385,"threshold_uncertainty_score":0.9329729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038765197494849,"score_gpt":0.2243544099469949,"score_spread":0.1939667579720464,"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."}}