{"id":"W2053243879","doi":"10.4236/ti.2011.24031","title":"Ex-Ante Asymmetric Regulation and Retail Mmarket Competition: Evidence from Europe’s Mobile Industry","year":2011,"lang":"en","type":"article","venue":"Technology and Investment","topic":"ICT Impact and Policies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Ex-ante; Flexibility (engineering); Industrial organization; Business; Information asymmetry; Economics; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007629043,0.0001066767,0.0001168339,0.000261228,0.00005114218,0.00001660008,0.00007593632,0.0002639247,0.0001337061],"category_scores_gemma":[0.00003549988,0.00009897868,0.000009038181,0.0003612486,0.000165276,0.0002006309,0.00005441512,0.0002424534,0.00002233985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001847815,"about_ca_system_score_gemma":0.000006876893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003646517,"about_ca_topic_score_gemma":0.000004184994,"domain_scores_codex":[0.9995899,0.00001704867,0.0001231163,0.00007923777,0.0000512791,0.0001394197],"domain_scores_gemma":[0.999701,0.00002993331,0.00002587365,0.0001755386,0.00002022171,0.00004744039],"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":[0.0001020333,0.0001556255,0.2531728,0.0002522756,0.000378143,0.00003652932,0.01171328,0.00009132439,0.02560048,0.6262867,0.01496322,0.06724755],"study_design_scores_gemma":[0.0009853226,0.0008646162,0.7184259,0.0005983396,0.0001608693,0.0001220969,0.001758115,0.002402921,0.1366341,0.05744289,0.0797331,0.0008717836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803222,0.005183419,0.00007866151,0.000166524,0.00008618091,0.0001182519,0.000007124346,0.0003020623,0.01373556],"genre_scores_gemma":[0.9980918,0.0008260015,0.0004133459,0.0001899274,0.00002816458,0.00001851069,0.000004805725,0.0000110536,0.0004164178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5688438,"threshold_uncertainty_score":0.4036233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03023544744669596,"score_gpt":0.2230011090832619,"score_spread":0.192765661636566,"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."}}