{"id":"W2046745039","doi":"10.3311/pp.ar.2009-1.04","title":"The medieval social topography of Szeged","year":2009,"lang":"en","type":"article","venue":"Periodica Polytechnica Architecture","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Settlement (finance); Peasant; Ethnic group; Intelligentsia; Geography; Quarter (Canadian coin); Archaeology; Distribution (mathematics); History; Genealogy; Ancient history; Economic history; Business; Sociology; Political science; Anthropology; Law; Payment","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":[0.00006062284,0.0002680866,0.0001230463,0.001759928,0.0006563147,0.00150407,0.0001902161,0.0001058384,0.00526658],"category_scores_gemma":[0.0001364224,0.000129381,0.00009791482,0.00272621,0.0008621735,0.0004839891,0.001117675,0.0001606787,0.0005789619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001288951,"about_ca_system_score_gemma":0.0004382135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01706477,"about_ca_topic_score_gemma":0.02148498,"domain_scores_codex":[0.9999065,0.00001217834,0.000006767056,0.00001946786,0.00001978068,0.00003520112],"domain_scores_gemma":[0.9999709,0.000002995934,0.00001049075,0.00000314798,0.000005650818,0.00000685534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001336817,0.0001915458,0.2526181,0.001184854,0.0005097106,0.007511652,0.05645886,0.01010975,0.01898988,0.1480678,0.02789959,0.4751214],"study_design_scores_gemma":[0.00003525786,0.00006800752,0.8427986,0.00010695,0.00006317291,0.001570116,0.01909304,0.0006860439,0.0007935262,0.004740531,0.1299993,0.00004546288],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585346,0.001659288,0.0004195443,0.000313998,0.00002538788,0.00001599444,0.002172668,0.00005083334,0.03680765],"genre_scores_gemma":[0.9954848,0.0009821985,0.000237604,0.00001464014,0.00001208644,0.000009974608,0.0009961508,0.00000801944,0.002254535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01706477,"threshold_uncertainty_score":0.03393084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281212854988324,"score_gpt":0.3008722599800578,"score_spread":0.2880601314301746,"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."}}