{"id":"W4244617044","doi":"10.17072/2219-3111-2020-2-34-44","title":"GYPSY POPULATION OF THE MIDDLE URALS IN THE LATE 18TH – EARLY 20TH CENTURIES","year":2020,"lang":"ru","type":"article","venue":"Вестник Пермского университета История","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Quarter (Canadian coin); Period (music); Ethnic group; Ethnology; Geography; History; Ancient history; Demography; Archaeology; Political science; Sociology; Art; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001430313,0.0007376251,0.001185783,0.0001582068,0.001733755,0.00009464795,0.001575849,0.0005880484,0.000648243],"category_scores_gemma":[0.001211028,0.0004520387,0.0005084955,0.001673128,0.0004540141,0.0004325089,0.0008084791,0.001928916,0.0005720969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136185,"about_ca_system_score_gemma":0.0002915427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005367249,"about_ca_topic_score_gemma":0.003050604,"domain_scores_codex":[0.991851,0.002725734,0.002019185,0.0007749857,0.001232106,0.001396937],"domain_scores_gemma":[0.9955446,0.001407085,0.001210563,0.001306022,0.0002791582,0.0002525874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004060924,0.000393221,0.7238868,0.001519908,0.0002763849,0.00002731958,0.2210395,0.0001052983,0.0003948231,0.01086962,0.03941692,0.001664074],"study_design_scores_gemma":[0.00172411,0.0003110961,0.9468989,0.001233822,0.0002371256,0.000002938998,0.02492721,0.0001730582,0.0002037085,0.002009431,0.02171393,0.0005646566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300711,0.005046735,0.00001094952,0.04774899,0.002326812,0.002794105,0.0002955485,0.0001026559,0.01160315],"genre_scores_gemma":[0.9861399,0.0008961662,0.00007293237,0.007176219,0.0009548015,0.00009742911,0.0000540397,0.00009928848,0.004509204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2230121,"threshold_uncertainty_score":0.9997931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.141128173215847,"score_gpt":0.3646736767914817,"score_spread":0.2235455035756347,"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."}}