{"id":"W3193266392","doi":"10.3386/w25878","title":"Excessive Entry and Exit in Export Markets","year":2019,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Tokyo Center for Economic Research","keywords":"Business; Database transaction; Profit (economics); Imperfect; Demand curve; Variance (accounting); Economics; Transaction data; Monetary economics; Microeconomics","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":[0.001108499,0.0001608001,0.0003763906,0.0009939281,0.0003044147,0.001328687,0.000323189,0.0005458962,0.004298953],"category_scores_gemma":[0.007134806,0.0002000612,0.0003070034,0.0006313307,0.0005571332,0.001276927,0.0009421783,0.0006405828,0.0003565963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003695655,"about_ca_system_score_gemma":0.00020126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003413138,"about_ca_topic_score_gemma":0.005407164,"domain_scores_codex":[0.9992754,0.0001196407,0.00007668506,0.0001987694,0.0001595415,0.0001700513],"domain_scores_gemma":[0.9890395,0.003365817,0.005938185,0.0006134204,0.0003741468,0.0006689313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001345353,0.0000653297,0.991133,0.00002562626,0.00003537405,0.0003471786,0.0004347198,0.0006949991,0.0008394874,0.0009302165,0.0006667402,0.004692869],"study_design_scores_gemma":[0.00001203266,0.00004777699,0.9950159,0.00001145688,0.00001746373,0.0003651841,0.0004589617,0.002667367,0.0003287432,0.000573724,0.0004915533,0.000009895682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981042,0.00008252373,0.000182097,0.00006921792,0.000002912777,0.000007331686,0.0002421885,0.00001036975,0.001299216],"genre_scores_gemma":[0.9991861,0.00003186754,0.00004551634,0.0000189092,0.000005363066,0.000002641961,0.0002876444,0.000001882908,0.0004201097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004298953,"threshold_uncertainty_score":0.01438141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4584902194167903,"score_gpt":0.453132245527399,"score_spread":0.005357973889391299,"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."}}