{"id":"W7057770207","doi":"","title":"La población esclava en la ciudad de Sevilla (1500-1650)","year":2021,"lang":"es","type":"dissertation","venue":"idUS (Universidad de Sevilla)","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Ethnography; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018872,0.0001815693,0.0001185083,0.0008676201,0.0005082856,0.0005417487,0.0002476918,0.0001376138,0.00388493],"category_scores_gemma":[0.0003261645,0.0000946879,0.0001618384,0.00166156,0.0003126134,0.0002079981,0.0007128528,0.0002461366,0.0003319372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653915,"about_ca_system_score_gemma":0.00177316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3291243,"about_ca_topic_score_gemma":0.5581021,"domain_scores_codex":[0.999927,0.00001004167,0.000003587852,0.00001550184,0.00001379852,0.00002999088],"domain_scores_gemma":[0.9999161,0.00000965883,0.00002264233,0.000004640505,0.00002909691,0.00001786696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003463895,0.00006367722,0.7295626,0.0006749423,0.0001352758,0.0009641064,0.01946377,0.0007069291,0.00514245,0.009971092,0.01893451,0.2140342],"study_design_scores_gemma":[0.000008510945,0.00003455747,0.8911918,0.0001308792,0.00001963342,0.0001688513,0.00520072,0.0001174668,0.0001828375,0.0002477197,0.1026875,0.000009476707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484641,0.003810443,0.0004639684,0.000683251,0.00008737193,0.00003623426,0.005136409,0.0000986222,0.04121958],"genre_scores_gemma":[0.9749712,0.001759097,0.0007390854,0.0001483204,0.00001552195,0.00003611954,0.00355542,0.00001725307,0.01875791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3291243,"threshold_uncertainty_score":0.6544172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006228700916861639,"score_gpt":0.2642409547672271,"score_spread":0.2580122538503655,"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."}}