{"id":"W2139571090","doi":"10.1111/j.1936-4490.2004.tb00347.x","title":"The Small World of Canadian Capital Markets: Statistical Mechanics of Investment Bank Syndicate Networks, 1952–1989","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Syndicate; Underwriting; Business; Investment (military); Investment banking; Financial system; Political science; Actuarial science; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003855724,0.000227085,0.0005534321,0.001501868,0.001315025,0.0003238496,0.001057287,0.00008521516,0.0002253108],"category_scores_gemma":[0.0007857102,0.0002034793,0.0001845192,0.002878135,0.003371545,0.0003959584,0.00001898446,0.000223069,0.000003933549],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092088,"about_ca_system_score_gemma":0.008022748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4214056,"about_ca_topic_score_gemma":0.9909784,"domain_scores_codex":[0.9969805,0.0000989204,0.001486512,0.0003973973,0.0001224103,0.0009142449],"domain_scores_gemma":[0.9962561,0.000240111,0.001486739,0.0002573102,0.0003117764,0.001447944],"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":[0.00001780786,0.00002244821,0.0065388,0.00003312522,0.000072317,0.00009839478,0.002268762,0.003095671,0.00001394788,0.9873724,0.0001210037,0.0003453143],"study_design_scores_gemma":[0.001661034,0.01201071,0.0909194,0.0009406726,0.0002224861,0.001844166,0.0331226,0.02398293,0.0008051421,0.7908198,0.04199707,0.001674018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606503,0.003472211,0.009511409,0.0030281,0.0009523536,0.0003982836,0.0007737907,0.000005241979,0.02120832],"genre_scores_gemma":[0.9948212,0.0001027445,0.004666789,0.0001059857,0.00008807254,0.000006115161,0.000007917989,0.00001014091,0.0001910398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5695727,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08417836467374873,"score_gpt":0.2565834459100753,"score_spread":0.1724050812363266,"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."}}