{"id":"W1571940658","doi":"10.4000/ahrf.10809","title":"Guillaume MÉTAIRIE, Des juges de proximité : les juges de paix. Biographies parisiennes (1790-1838)","year":2003,"lang":"fr","type":"article","venue":"Annales historiques de la Révolution française","topic":"European Political History Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut d'Histoire de l'Amérique Française","funders":"","keywords":"Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001408302,0.001439597,0.0007103728,0.005375869,0.005100646,0.003908054,0.00130946,0.003144877,0.01291783],"category_scores_gemma":[0.002430027,0.0006334257,0.0003705856,0.01144022,0.00416128,0.007827519,0.002142699,0.004366371,0.002451864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009078724,"about_ca_system_score_gemma":0.00397552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.173342,"about_ca_topic_score_gemma":0.2837264,"domain_scores_codex":[0.9987869,0.0004402174,0.00005967862,0.000193866,0.000344727,0.0001746982],"domain_scores_gemma":[0.9985806,0.0007718863,0.0001804691,0.00004023264,0.0003048615,0.0001219984],"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":[0.00005684896,0.00002798902,0.001835552,0.0005861449,0.00002912599,0.0001841434,0.02447258,0.0000849397,0.00006753139,0.06169733,0.8548207,0.05613714],"study_design_scores_gemma":[0.000008633334,0.000007598805,0.003967826,0.0005727606,0.000008372958,0.00008847636,0.003915527,0.00001662124,0.00006693715,0.003356367,0.9879783,0.00001249447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002183265,0.8703727,0.0004303386,0.09599991,0.004327488,0.00002040203,0.0007569792,0.0000351675,0.02587382],"genre_scores_gemma":[0.09694618,0.746905,0.001075028,0.01946045,0.008432378,0.0001695973,0.0008778464,0.0001440801,0.1259894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.173342,"threshold_uncertainty_score":0.3446661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02199291889130676,"score_gpt":0.2414958306208144,"score_spread":0.2195029117295076,"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."}}