{"id":"W2771637424","doi":"","title":"The Princes of Novgorod from 970 to 1136","year":2016,"lang":"en","type":"article","venue":"Rossica Antiqua","topic":"Historical and Archaeological Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Independence (probability theory); Politics; Ancient history; History; Law; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006911009,0.00007720347,0.0001451399,0.00001053204,0.0004939737,0.00002344292,0.0002033023,0.00001663072,0.0005217046],"category_scores_gemma":[0.0000982611,0.00002899373,0.00006362125,0.0000230951,0.0006249014,0.00004082407,0.0001297788,0.00003591785,0.000251036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001129092,"about_ca_system_score_gemma":0.000007451909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002079341,"about_ca_topic_score_gemma":0.001366499,"domain_scores_codex":[0.9993688,0.00002408247,0.0001638521,0.0001386439,0.0001328124,0.000171795],"domain_scores_gemma":[0.9993749,0.0003433716,0.00004823447,0.000135212,0.00004958559,0.00004866778],"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":[0.00007986942,0.0001215796,0.002952143,0.000007890754,0.00006997428,0.000004802868,0.02374708,1.864628e-7,0.003624544,0.7668768,0.02915886,0.1733563],"study_design_scores_gemma":[0.00008985768,0.00009404734,0.002959695,0.00002520612,0.000004725623,5.748266e-8,0.0002573061,6.837907e-7,0.0009587838,0.01138444,0.9841536,0.00007157537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801039,0.001716977,0.0003354859,0.03197899,0.0009012699,0.0002014304,0.0001182914,0.0001102948,0.08453329],"genre_scores_gemma":[0.9717311,0.0001612253,0.00005517567,0.0001666408,0.0004257793,0.00001036629,3.620647e-7,0.00000444869,0.02744488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9549947,"threshold_uncertainty_score":0.5712299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249825774966168,"score_gpt":0.2111859670551794,"score_spread":0.1862033895585626,"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."}}