{"id":"W1272199543","doi":"","title":"Great Britain under Margaret Thatcher and German Unification","year":2015,"lang":"en","type":"article","venue":"Oral History Forum d'histoire orale","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Unification; German; Political science; History; Economic history; Computer science; Archaeology","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":[0.0004430343,0.0001560045,0.0002302676,0.00008230039,0.0005456581,0.0000263588,0.0002025009,0.0001591554,0.0006674049],"category_scores_gemma":[0.00004751295,0.000168881,0.00007372623,0.00006363194,0.001209382,0.0004051143,0.00004080013,0.000133631,0.0002998255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002548682,"about_ca_system_score_gemma":0.0003642129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008042654,"about_ca_topic_score_gemma":0.008809579,"domain_scores_codex":[0.998649,0.0001231887,0.0002130407,0.0003221984,0.0002047085,0.0004878707],"domain_scores_gemma":[0.9990702,0.0000264174,0.00008567519,0.0002194449,0.00006407812,0.0005342118],"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":[0.00004322456,0.00007216531,0.002776423,0.00001360436,0.0000126205,0.00001122822,0.007348293,0.000002028501,0.00004191651,0.1535377,0.8237726,0.01236814],"study_design_scores_gemma":[0.0003404859,0.00004846754,0.001048453,0.00000774195,0.0000172156,0.000003386417,0.002128106,0.00002958411,0.000002143577,0.009272448,0.9868597,0.0002422393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.202548,0.00996538,0.0001368439,0.01790665,0.002995454,0.0003342735,0.0000245728,0.0003173373,0.7657714],"genre_scores_gemma":[0.7555902,0.00004556993,0.0001878856,0.001363006,0.0001715711,0.00001479106,0.00002062238,0.00002178261,0.2425846],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5530421,"threshold_uncertainty_score":0.9985629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05798176086844408,"score_gpt":0.2772450708123227,"score_spread":0.2192633099438786,"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."}}