{"id":"W2981341540","doi":"10.2139/ssrn.3426207","title":"Fragmentation of Distributed Exchanges","year":2019,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Competitor analysis; Fragmentation (computing); De facto; Economic geography; Cluster (spacecraft); Monte Carlo method; Business; Computer science; Industrial organization; Geography; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382396,0.000210587,0.0007662828,0.0003268809,0.00007281701,0.0000766829,0.0003893773,0.0001864227,0.0004685945],"category_scores_gemma":[0.00003757831,0.0002319209,0.0004328753,0.0001816871,0.00002700513,0.0000947704,0.0001887742,0.00142118,0.0001354456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008819248,"about_ca_system_score_gemma":0.0004094154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149325,"about_ca_topic_score_gemma":0.0005424388,"domain_scores_codex":[0.9975747,0.00002970297,0.0009416664,0.000337908,0.00007490693,0.001041158],"domain_scores_gemma":[0.997823,0.00002316719,0.001626085,0.0003923006,0.00008814084,0.00004729084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004818103,0.000119066,0.02719084,0.0002352938,0.002106099,0.00000152691,0.0003786245,0.006134052,0.00001832816,0.9591315,0.0004985803,0.004137892],"study_design_scores_gemma":[0.0006398275,0.0002189238,0.004440098,0.00009463199,0.00008726273,0.00003618359,0.001287574,0.003424272,0.00001898713,0.9734854,0.01581431,0.0004525277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7045856,0.07522565,0.2087101,0.001265652,0.002074487,0.0005747873,0.001149758,0.00004137282,0.006372633],"genre_scores_gemma":[0.9891815,0.008244841,0.00007752765,0.00001488256,0.000276512,0.00000868031,0.0001692855,0.00002343592,0.002003327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2845959,"threshold_uncertainty_score":0.9457461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091173394951303,"score_gpt":0.2232427188083546,"score_spread":0.2023309848588416,"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."}}