{"id":"W4402703961","doi":"10.7202/1113229ar","title":"Intercéder à la cour de France. À propos d’une étude de cas : la correspondance de la duchesse de Picquigny-Chaulnes, « maîtresse » de ministre en 1743-1744","year":2024,"lang":"fr","type":"article","venue":"Tangence","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001429971,0.000407386,0.0003150892,0.001213595,0.0148333,0.006470785,0.0006453589,0.001705013,0.01730357],"category_scores_gemma":[0.003447781,0.0002158175,0.0002601108,0.001436206,0.00651017,0.002959042,0.003299189,0.002572199,0.001596347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01490312,"about_ca_system_score_gemma":0.006065744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1443837,"about_ca_topic_score_gemma":0.2631873,"domain_scores_codex":[0.9979329,0.0007718971,0.00003267435,0.0003403453,0.0003800471,0.0005420352],"domain_scores_gemma":[0.998929,0.0002430289,0.0002579894,0.00009146287,0.0002334096,0.0002452117],"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":[0.0001128421,0.00004641668,0.02194984,0.0001039327,0.00004232325,0.003395198,0.4081927,0.0003190029,0.0009810347,0.4727344,0.01898618,0.07313606],"study_design_scores_gemma":[0.00001134116,0.00004995829,0.02993555,0.000129715,0.00001346775,0.0007545661,0.08113797,0.0001251658,0.0002841118,0.007487691,0.8800392,0.00003122198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5551497,0.007392944,0.002888429,0.01872514,0.0005239151,0.00004169227,0.000199352,0.0001402844,0.4149385],"genre_scores_gemma":[0.9028276,0.0008523113,0.0003610388,0.0009475822,0.0001030477,0.00001423742,0.00004454953,0.00005750927,0.09479221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1443837,"threshold_uncertainty_score":0.2870867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113315708845188,"score_gpt":0.2965105305772047,"score_spread":0.2853773734887528,"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."}}