{"id":"W4298085415","doi":"10.4000/geohist.4259","title":"La réorganisation des espaces administratifs à la périphérie de l’Empire napoléonien : le cas du Piémont (1798-1814)","year":2014,"lang":"fr","type":"article","venue":"Revue de géographie historique","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0009427466,0.000506479,0.0007246582,0.0002036212,0.00494012,0.0003406249,0.0003567994,0.0005080216,0.0001846689],"category_scores_gemma":[0.0003013442,0.0004979774,0.0006693017,0.0004008257,0.002794901,0.0003339225,0.00007614391,0.0005929396,0.0000427473],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005500946,"about_ca_system_score_gemma":0.0002014535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03153723,"about_ca_topic_score_gemma":0.1346637,"domain_scores_codex":[0.9970137,0.0008274509,0.0005845779,0.0005642446,0.0002659982,0.0007439866],"domain_scores_gemma":[0.998123,0.0004586662,0.0003459839,0.0003630039,0.000300011,0.0004093092],"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":[0.00003992949,0.0004592288,0.003897767,0.0006166319,0.0003995892,0.0001620859,0.3122183,0.0000411453,0.0001942724,0.6247856,0.04559875,0.01158673],"study_design_scores_gemma":[0.00034608,0.0002540873,0.001951649,0.0001936453,0.0003688058,0.00009163404,0.006244489,0.00008631132,0.00002716432,0.01386608,0.975942,0.0006280507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984437,0.03748013,0.002184057,0.1885109,0.002139315,0.000510803,0.00009062236,0.0004037672,0.07023671],"genre_scores_gemma":[0.8952304,0.01675302,0.0007405182,0.0002740961,0.003320904,0.00009179689,0.00003411649,0.00007999668,0.0834752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9303433,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117983608048709,"score_gpt":0.2113050563644717,"score_spread":0.1995066955596008,"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."}}