{"id":"W1877841108","doi":"","title":"France under President Mitterrand and German Unification","year":2015,"lang":"en","type":"article","venue":"Oral History Forum d'histoire orale","topic":"French Historical and Cultural Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Unification; German; Political science; Economic history; History; Public administration; Archaeology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00007908274,0.0002055211,0.0002483429,0.00005289392,0.0005709133,0.00003772342,0.0001425373,0.00005341672,0.0007189029],"category_scores_gemma":[0.00001326385,0.0001684572,0.00007020296,0.0000279781,0.0008034354,0.0003634047,0.0000501381,0.0001241464,0.0001614578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006983372,"about_ca_system_score_gemma":0.00003918154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620574,"about_ca_topic_score_gemma":0.003212511,"domain_scores_codex":[0.9989108,0.0000366822,0.0002349995,0.000305526,0.0002412666,0.0002707258],"domain_scores_gemma":[0.9993797,0.00001243131,0.0001124629,0.0001970761,0.0001295893,0.0001687522],"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":[0.00002506448,0.0000694702,0.0002182707,0.00002632787,0.00001882297,0.000004792434,0.01231356,0.000002324257,0.00009452026,0.0331318,0.9495945,0.004500543],"study_design_scores_gemma":[0.0004129808,0.0001177857,0.0005308797,0.00001512522,0.00002934682,0.000003357806,0.001225205,0.00002155289,0.000006614475,0.001647253,0.9957259,0.0002639524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1375026,0.3861948,0.0001399125,0.01851461,0.01199398,0.000873572,0.00005566996,0.0007258685,0.443999],"genre_scores_gemma":[0.5169665,0.00007724881,0.00006977716,0.0007819645,0.0002493709,0.00003853612,0.00002139044,0.00002020948,0.481775],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3861175,"threshold_uncertainty_score":0.7871482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05508006963179837,"score_gpt":0.2188360786755028,"score_spread":0.1637560090437045,"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."}}