{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009991374,0.00114805,0.0009605524,0.00445228,0.0006085061,0.001889818,0.001319705,0.001391047,0.01842741],"category_scores_gemma":[0.004373263,0.0004261457,0.0007297248,0.007006502,0.0003361162,0.0008188714,0.001174555,0.001386347,0.02176521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156952,"about_ca_system_score_gemma":0.003202441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0778419,"about_ca_topic_score_gemma":0.1131143,"domain_scores_codex":[0.9988084,0.0001483777,0.0001538739,0.0002702431,0.0003784504,0.0002407303],"domain_scores_gemma":[0.9973347,0.0004077579,0.0006289798,0.000372442,0.0009715967,0.0002846349],"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":[0.0001381973,0.00005576669,0.006940148,0.0003045921,0.0000681679,0.00004278444,0.00004405365,0.0006988565,0.0001872546,0.001457453,0.9863983,0.003664452],"study_design_scores_gemma":[0.0001987442,0.00004714101,0.06621514,0.0002168546,0.00004977279,0.0001091047,0.000193331,0.0009328039,0.0006846523,0.0008811636,0.9304283,0.00004316103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001653967,0.0001057726,0.00006191302,0.0001228966,0.00004134717,0.00001199502,0.9962984,0.0001002598,0.001603411],"genre_scores_gemma":[0.002346555,0.00006314524,0.0001430043,0.00004911607,0.00002139468,0.00003756795,0.9958113,0.00002262633,0.001505171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0778419,"threshold_uncertainty_score":0.1547776,"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."}}