{"id":"W2513592923","doi":"10.1086/598385","title":": <i>Heirs, Kin, and Creditors in Renaissance Florence</i>","year":2009,"lang":"en","type":"article","venue":"Renaissance Quarterly","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Append; Index (typography); The Renaissance; History; Art history; Computer science","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":[0.0005923601,0.0008705308,0.0006991383,0.002319633,0.001743105,0.002832483,0.0008614936,0.001232063,0.06232275],"category_scores_gemma":[0.001416864,0.000300366,0.0001812995,0.004213739,0.001565,0.004738948,0.001221027,0.001367199,0.00948075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003606431,"about_ca_system_score_gemma":0.001299407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0764613,"about_ca_topic_score_gemma":0.1576171,"domain_scores_codex":[0.9996796,0.00009003727,0.00001625433,0.00006004689,0.00009413114,0.00005997964],"domain_scores_gemma":[0.9996172,0.0001273803,0.00004374289,0.00001829436,0.0001030351,0.000090226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001558707,0.000004143531,0.0003553993,0.0001715583,0.000002798385,0.0000378087,0.001288272,0.00001581892,0.00001988115,0.008064969,0.9615242,0.02849955],"study_design_scores_gemma":[0.000003353972,0.000005267689,0.002919961,0.0003526009,0.000002649241,0.0001166164,0.001465724,0.000009973132,0.00002661128,0.001488672,0.993601,0.000007511434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001778588,0.8452712,0.0001788678,0.0747482,0.01432413,0.000009919634,0.0005127481,0.00008654968,0.06308984],"genre_scores_gemma":[0.09659103,0.5113136,0.0003958965,0.01234293,0.02151675,0.00003803349,0.001013104,0.0001723302,0.3566164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0764613,"threshold_uncertainty_score":0.2084904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054108212052856,"score_gpt":0.2141394692640429,"score_spread":0.1935983871435143,"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."}}