{"id":"W2980994311","doi":"10.2139/ssrn.3420932","title":"Common Ownership, Common Information Environment?","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Common ownership; Common ground; Common property; Common law; Business; Common knowledge (logic); Common stock; Common carp; Computer science; Geography; Political science; Law; Psychology; Property rights; Communication; Artificial intelligence","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":[0.004803293,0.0002988424,0.0006889189,0.001899233,0.001706118,0.01287442,0.001239365,0.00377018,0.02696659],"category_scores_gemma":[0.02632974,0.000259398,0.0003602346,0.003491923,0.01203202,0.03134045,0.003959815,0.002642917,0.001698152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002362337,"about_ca_system_score_gemma":0.003742786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00468048,"about_ca_topic_score_gemma":0.002772224,"domain_scores_codex":[0.9962057,0.001141564,0.0002359547,0.0009541695,0.0007195728,0.0007430781],"domain_scores_gemma":[0.9823268,0.007547928,0.003733134,0.002199047,0.002160004,0.002033173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001851884,0.0000208771,0.001263431,0.00003111588,0.00001198109,0.00008841344,0.0007106953,0.0001128931,0.00004851115,0.9871825,0.003887156,0.006623939],"study_design_scores_gemma":[0.00002804849,0.00002105727,0.002986638,0.0001352404,0.00001843295,0.000172398,0.002870786,0.0005922911,0.0001299255,0.963366,0.02966067,0.00001858677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2071168,0.009988715,0.07502404,0.2056068,0.001245375,0.000122438,0.001003923,0.0002869984,0.4996049],"genre_scores_gemma":[0.983538,0.001861388,0.002322629,0.002363829,0.0006993603,0.00004446947,0.0001319128,0.00003478387,0.009003597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02696659,"threshold_uncertainty_score":0.09021229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004393706428817517,"score_gpt":0.1825138093825502,"score_spread":0.1781201029537327,"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."}}