{"id":"W1582643480","doi":"10.3386/w20512","title":"Permission to Exist","year":2014,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Permission; Computer science; Law; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001623533,0.0003114512,0.0005390898,0.0006196048,0.001957994,0.003922399,0.002251772,0.003059876,0.1097163],"category_scores_gemma":[0.008059243,0.0003611055,0.0007626972,0.0008956011,0.001994999,0.006484109,0.003342848,0.002459505,0.01917415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227323,"about_ca_system_score_gemma":0.002187485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003290569,"about_ca_topic_score_gemma":0.004284372,"domain_scores_codex":[0.9979367,0.000578266,0.00009067012,0.0004715962,0.0004799698,0.0004427634],"domain_scores_gemma":[0.9962106,0.0009400348,0.0004388294,0.001395931,0.000368478,0.0006462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006194062,0.00005484349,0.001398392,0.00004215894,0.00001125567,0.0006287775,0.0005837764,0.003693412,0.0005651902,0.9435762,0.02555393,0.02383006],"study_design_scores_gemma":[0.00008113543,0.00008467443,0.001061249,0.00007269764,0.00002422013,0.001197221,0.0006216379,0.02795504,0.0008221189,0.4997933,0.4682305,0.00005619068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05963252,0.0004385824,0.1133099,0.01503467,0.0007109296,0.0003294882,0.0019353,0.0007412519,0.8078673],"genre_scores_gemma":[0.6211855,0.0004400506,0.0107124,0.002051349,0.0003181023,0.0002824825,0.00115856,0.0002546126,0.3635969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1097163,"threshold_uncertainty_score":0.3670377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4865185389934722,"score_gpt":0.5106224175115825,"score_spread":0.02410387851811036,"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."}}