{"id":"W4388026590","doi":"10.18778/8331-303-0.08","title":"Mobilisation of the Armies of the Polish – Lithuanian Commonwealth before the Battle of Pereyaslav in 1630","year":2023,"lang":"en","type":"book-chapter","venue":"Wydawnictwo Uniwersytetu Łódzkiego eBooks","topic":"Historical and Cultural Studies of Poland","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battle; Commonwealth; Lithuanian; Quarter (Canadian coin); Artillery; Ancient history; History; Law; Political science; Archaeology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.0003382296,0.0003860636,0.0007356605,0.00008909933,0.0005206161,0.00003014439,0.00103537,0.0001827986,0.0002838917],"category_scores_gemma":[0.0001130203,0.0001785808,0.0005515967,0.00004648773,0.002210338,0.00004815853,0.0004193307,0.0006030925,0.00001343967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451527,"about_ca_system_score_gemma":0.0001163316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003919478,"about_ca_topic_score_gemma":0.08051398,"domain_scores_codex":[0.9978043,0.0001145745,0.0009007381,0.0002763232,0.0005936487,0.0003103581],"domain_scores_gemma":[0.9976153,0.0003346685,0.0008933929,0.0008325187,0.0002759385,0.00004817187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003921684,0.00004513415,0.0004598592,0.0003386034,0.0002057557,0.00000104935,0.1253529,0.000007968796,0.00001908072,0.8591793,0.01246729,0.001883852],"study_design_scores_gemma":[0.0005717197,0.0002531528,0.002561717,0.000975653,0.0002497212,0.000002213114,0.01364046,0.00000874624,0.00009602027,0.03375751,0.9475411,0.0003419727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02152567,0.0009507508,2.285253e-7,0.001549668,0.002347774,0.001002275,0.0006574549,0.00004268127,0.9719235],"genre_scores_gemma":[0.516069,0.00005273183,0.000001767538,0.0001028587,0.0003472277,0.00001840254,0.00001243707,0.00004542555,0.4833502],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9350738,"threshold_uncertainty_score":0.9362642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03541768614920472,"score_gpt":0.2005077690053054,"score_spread":0.1650900828561007,"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."}}