{"id":"W2275779829","doi":"","title":"ГОРОД ГАЛИЧ ВО ВТОРОЙ ПОЛОВИНЕ XVII В. ПО МАТЕРИАЛАМ ПЕРЕПИСНОЙ КНИГИ ГОРОДА ГАЛИЧА И УЕЗДА 1678 Г. И РОСПИСНОМУ СПИСКУ ГОРОДА ГАЛИЧА 1678 г.","year":2013,"lang":"ru","type":"article","venue":"Исторические, философские, политические и юридические науки, культурология и искусствоведение. Вопросы теории и практики","topic":"Historical and Cultural Studies of Poland","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Craft; Serfdom; History; Genealogy; Geography; Sociology; Economic history; Demography; Archaeology; 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":[0.0004709662,0.0003510947,0.0001835,0.001234008,0.002036417,0.00394282,0.0002352266,0.0005864408,0.0111251],"category_scores_gemma":[0.001390716,0.0003551707,0.0001864288,0.001237046,0.002533122,0.001140962,0.001335494,0.001819746,0.003919045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792735,"about_ca_system_score_gemma":0.002376135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008587873,"about_ca_topic_score_gemma":0.01556233,"domain_scores_codex":[0.9994764,0.00007630499,0.00003038611,0.0001009943,0.0002121352,0.0001039133],"domain_scores_gemma":[0.9997817,0.0000430571,0.00003622951,0.00003825964,0.00006642042,0.00003439785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001185539,0.00002724923,0.003513785,0.0003355623,0.0000208845,0.0005445304,0.01763693,0.0004418778,0.003183839,0.6939623,0.03230192,0.2479126],"study_design_scores_gemma":[0.000005988167,0.00001804834,0.004288717,0.0001048694,0.000007487886,0.0002444391,0.001148315,0.00005040516,0.0009589185,0.01791168,0.975251,0.00001012979],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07087859,0.01965899,0.01203633,0.005109887,0.001484087,0.0001822281,0.0006002247,0.0002036399,0.889846],"genre_scores_gemma":[0.5790367,0.01163088,0.01313177,0.0004695171,0.0003751452,0.0001950872,0.0003460757,0.0001835104,0.3946313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111251,"threshold_uncertainty_score":0.03721714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904708410266255,"score_gpt":0.1834226756065681,"score_spread":0.1643755915039056,"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."}}