{"id":"W2316172088","doi":"10.1111/joie.12047","title":"Cross‐Border Mergers and Market Segmentation","year":2014,"lang":"en","type":"article","venue":"Journal of Industrial Economics","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Market segmentation; Industrial organization; Contrast (vision); Product (mathematics); Business; Economics; Marketing; Computer science; Mathematics","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":[0.001214606,0.0002368154,0.0004449929,0.0009206113,0.001070765,0.002572201,0.000343217,0.001191172,0.01092473],"category_scores_gemma":[0.006936027,0.0002040955,0.000448299,0.001074698,0.002237945,0.003221473,0.002435639,0.001273823,0.0005408087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094452,"about_ca_system_score_gemma":0.0004935499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002157089,"about_ca_topic_score_gemma":0.002157023,"domain_scores_codex":[0.9987836,0.0003296487,0.00007809722,0.0002358654,0.0001716879,0.0004010047],"domain_scores_gemma":[0.9866714,0.004499975,0.00702296,0.0004503681,0.000525614,0.0008295925],"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":[0.001124663,0.0003943907,0.3997369,0.0002839067,0.0002942704,0.00560353,0.004569919,0.01762316,0.004717048,0.4773178,0.004761722,0.08357274],"study_design_scores_gemma":[0.0001856789,0.0006867565,0.4465029,0.0003282073,0.0003080087,0.01006836,0.009986608,0.04616161,0.006149095,0.4519078,0.02758927,0.00012583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944323,0.002900301,0.01053837,0.00153333,0.00002637468,0.0000471865,0.00008171701,0.00002270199,0.04052709],"genre_scores_gemma":[0.9982967,0.0003015624,0.0002180145,0.00006019227,0.00002221412,0.000004291267,0.00003205791,0.000002224998,0.001062691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092473,"threshold_uncertainty_score":0.03654683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03176219754256015,"score_gpt":0.26455211452452,"score_spread":0.2327899169819599,"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."}}