{"id":"W3125725808","doi":"10.1111/j.1530-9134.2009.00237.x","title":"<scp>Mergers in Two‐Sided Markets: An Application to the Canadian Newspaper Industry</scp>","year":2009,"lang":"en","type":"article","venue":"Journal of Economics & Management Strategy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Newspaper; Business; Advertising; Media industry; Market share; Consumer welfare; Circulation (fluid dynamics); Mergers and acquisitions; Welfare; Economics; Marketing; Market economy; Engineering; Finance; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001228594,0.000595493,0.0006090704,0.00114316,0.003292914,0.002333625,0.001033268,0.002200352,0.006999091],"category_scores_gemma":[0.004313983,0.0002513847,0.001192553,0.002145734,0.002443484,0.001449058,0.001740802,0.001512752,0.0002984364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01577396,"about_ca_system_score_gemma":0.01269714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8564535,"about_ca_topic_score_gemma":0.8348352,"domain_scores_codex":[0.9991949,0.000215803,0.00001637853,0.00007578512,0.000212226,0.0002848279],"domain_scores_gemma":[0.9974881,0.001283533,0.0003385963,0.00009649673,0.0004854815,0.0003076082],"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":[0.0003616834,0.000793406,0.06904923,0.0005083613,0.0002015035,0.004490894,0.002370859,0.2464357,0.004459848,0.5701841,0.02455951,0.07658493],"study_design_scores_gemma":[0.0004279729,0.0005473191,0.0683561,0.0002306366,0.0004260977,0.001316098,0.007197259,0.7212346,0.003415798,0.1300667,0.06643075,0.0003506872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7814783,0.005397658,0.03513645,0.01913773,0.0002346346,0.0004945929,0.001071523,0.00024127,0.1568078],"genre_scores_gemma":[0.9843937,0.002323413,0.005693528,0.0004782298,0.00007760282,0.00004301682,0.00009047251,0.0000120403,0.006888004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1435465,"threshold_uncertainty_score":0.2887837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01326141897732552,"score_gpt":0.2473277211470152,"score_spread":0.2340663021696897,"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."}}