{"meta":{"query_hash":"65a3a0cdc19f","filters":{"venue":"Investigaciones de Historia Económica"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/65a3a0cdc19f","api":"https://metacan.xera.ac/api/v1/cohort?venue=Investigaciones+de+Historia+Econ%C3%B3mica"},"results":[{"id":"W4360998830","doi":"10.33231/j.ihe.2023.03.001","title":"n search of the ideal husband. Could inequality in the pre-industrial era be measured through dowries? North-eastern Catalonia, 1750-1825","year":2023,"lang":"en","type":"article","venue":"Investigaciones de Historia Económica","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universitat de Girona","keywords":"Dowry; Inequality; Inheritance (genetic algorithm); Estate; Politics; Economics; Ideal (ethics); Quarter (Canadian coin); Political instability; Geography; Development economics; Demographic economics; Political science; Law","score_opus":0.16514689604905572,"score_gpt":0.2755682052127293,"score_spread":0.11042130916367357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360998830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92675644,0.0057305875,0.00090827787,0.0050427485,0.000075720185,0.0000097219645,0.0004470349,0.0000046781433,0.06102486],"genre_scores_gemma":[0.99649256,0.0006003595,0.00019420988,0.0001309375,0.000016591268,0.0000024283875,0.00008677737,0.0000015593569,0.0024745283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966407,0.00010414834,0.000012151356,0.00008480963,0.00003964438,0.00009517586],"domain_scores_gemma":[0.99947375,0.00012693636,0.00014710447,0.000054060638,0.00012486713,0.00007323708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000984761,0.00013867447,0.0002612319,0.00091741874,0.0011217812,0.0017017679,0.00035308278,0.0002840401,0.0024402414],"category_scores_gemma":[0.00159166,0.00007215457,0.000114683986,0.0010039374,0.0023881032,0.001087489,0.00088412815,0.0006198918,0.00027611578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045639047,0.000102693775,0.50832415,0.0002384648,0.00009984977,0.0008208215,0.036729243,0.0020298176,0.0008628147,0.326277,0.008162873,0.11589581],"study_design_scores_gemma":[0.000014446275,0.00010500898,0.8637937,0.00034756775,0.000025725067,0.00017713972,0.029911809,0.0013196871,0.0002649434,0.02881526,0.075202204,0.000022644645],"about_ca_topic_score_codex":0.09477954,"about_ca_topic_score_gemma":0.13552323,"teacher_disagreement_score":0.09477954,"about_ca_system_score_codex":0.003974646,"about_ca_system_score_gemma":0.0008262423,"threshold_uncertainty_score":0.18845576},"labels":[],"label_agreement":null}]}