{"id":"W2944438092","doi":"10.5255/ukda-sn-853510","title":"De/Centralisation dataset 1790-2010","year":2019,"lang":"fr","type":"article","venue":"Kent Academic Repository (University of Kent)","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Centralisation; Political science; Regional science; Geography; Public administration; 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":[],"consensus_categories":[],"category_scores_codex":[0.000532351,0.0001529634,0.0002860253,0.00003681641,0.000325245,0.00002496729,0.0006602216,0.0005016425,0.0007829012],"category_scores_gemma":[0.00003937038,0.0001993216,0.0001466464,0.0002192282,0.0005844733,0.0007693114,0.000109788,0.0004955872,0.0004663411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007554932,"about_ca_system_score_gemma":0.0003113595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05359009,"about_ca_topic_score_gemma":0.000208463,"domain_scores_codex":[0.9978703,0.0003568812,0.0002619816,0.0003595325,0.0005782238,0.0005730468],"domain_scores_gemma":[0.9987372,0.0001281382,0.000426814,0.0003029318,0.00006399206,0.000340938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009781801,0.0002065136,0.2243373,0.0004985232,0.0001789801,0.00007777035,0.02093248,0.0001037681,0.008396628,0.2572142,0.4858734,0.002082638],"study_design_scores_gemma":[0.0004849886,0.0000563709,0.08229107,0.0003340277,0.00009764899,0.00001309462,0.002842405,0.000406552,0.0003067353,0.0005992809,0.912333,0.000234832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615346,0.003212366,0.0001348983,0.005814368,0.004051708,0.0003924532,0.0005346392,0.00003403767,0.02429092],"genre_scores_gemma":[0.8266922,0.001197242,0.0000982182,0.0001987853,0.0005202668,2.327841e-7,0.00007567995,0.000009936348,0.1712075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4264596,"threshold_uncertainty_score":0.9527121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893106072175939,"score_gpt":0.2434774110059609,"score_spread":0.2245463502842015,"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."}}