{"id":"W3121806472","doi":"","title":"Virtual Borders: Online Nominal Rigidities and International Market Segmentation","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Price dispersion; Economics; Exchange rate; Market segmentation; Econometrics; Price discrimination; Macro; Rigidity (electromagnetism); Relative price; Monetary economics; Microeconomics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001522723,0.0003129998,0.0007408984,0.001028725,0.0001625912,0.0004308127,0.0006002786,0.0004064699,0.002655444],"category_scores_gemma":[0.0002519819,0.0003978317,0.0002023932,0.0001147428,0.000299742,0.0002315749,0.001034626,0.001350074,0.0000307679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148443,"about_ca_system_score_gemma":0.0001169952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013624,"about_ca_topic_score_gemma":0.00492644,"domain_scores_codex":[0.9972018,0.0000664444,0.001129621,0.001019273,0.00008618573,0.0004966624],"domain_scores_gemma":[0.9983766,0.0002267863,0.0005024805,0.000661673,0.0000823647,0.0001501103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008858732,0.001640055,0.2041854,0.0008281742,0.003001556,0.0000926053,0.004864167,0.009190751,0.000216208,0.1032566,0.003941777,0.6678969],"study_design_scores_gemma":[0.002882448,0.0003525941,0.1025176,0.0003117812,0.00003732778,0.00004612305,0.009365026,0.2701302,0.00002810164,0.05261553,0.5595996,0.002113611],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371214,0.0006860824,0.00007156411,0.001368374,0.001838069,0.0006485761,0.00199548,0.00004135069,0.1562292],"genre_scores_gemma":[0.9675643,0.009432783,0.001699968,0.00009073421,0.0008341519,0.0001602288,0.0006227893,0.00007709192,0.01951791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6657833,"threshold_uncertainty_score":0.9998474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121307323213893,"score_gpt":0.3082544277796408,"score_spread":0.2670413545475019,"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."}}