{"id":"W2287116044","doi":"10.2139/ssrn.2734513","title":"Profitable Double Marginalization","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; 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":[0.000457847,0.0004147809,0.0007591282,0.0007365731,0.001479174,0.002585575,0.0007515391,0.001390812,0.0396823],"category_scores_gemma":[0.003425991,0.0003273951,0.0005997519,0.0004871476,0.001708389,0.004409295,0.002826356,0.002085545,0.002218954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008088602,"about_ca_system_score_gemma":0.0009605016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003641184,"about_ca_topic_score_gemma":0.0005419938,"domain_scores_codex":[0.9994304,0.00007337357,0.00001880474,0.0001223062,0.000142186,0.0002129579],"domain_scores_gemma":[0.9986785,0.0003534457,0.0001279998,0.0003449192,0.0001686102,0.0003264988],"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":[0.0001223615,0.00006529309,0.0007118668,0.00005380142,0.00001286001,0.0003436307,0.0001605728,0.001550682,0.003654511,0.971989,0.004293164,0.01704217],"study_design_scores_gemma":[0.00004148051,0.00009664451,0.001442485,0.00003583596,0.00002020456,0.001645408,0.0003868548,0.03243193,0.004184977,0.9438811,0.0158156,0.0000176134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5134561,0.0009270412,0.09164553,0.003293777,0.0003801901,0.0001113243,0.0002760327,0.0004510218,0.389459],"genre_scores_gemma":[0.9641841,0.0001797508,0.005057639,0.0001438769,0.00009046205,0.00002480474,0.00007086404,0.00006718493,0.03018138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0396823,"threshold_uncertainty_score":0.1327505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571400545592132,"score_gpt":0.2108622084232302,"score_spread":0.1951482029673088,"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."}}