{"id":"W7028006720","doi":"","title":"Early Timurid-Mughal politics and historiography: a case study of a little known amÄ«r, ShÄh QulÄ« KhÄn Mahram (952-1010/1545-1601)","year":2012,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Nietzsche, Schopenhauer, and Hegel","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Reign; Historiography; Legitimacy; State (computer science); Revenue; Rhetorical question","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":[0.001414278,0.0005045184,0.0004205117,0.002832334,0.01750788,0.00440592,0.00156239,0.002129689,0.006505555],"category_scores_gemma":[0.002754869,0.0005334718,0.0002453367,0.004756967,0.006761362,0.002486931,0.003069102,0.002319582,0.0008440652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007157826,"about_ca_system_score_gemma":0.002401025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02736239,"about_ca_topic_score_gemma":0.09286479,"domain_scores_codex":[0.9987497,0.0006778601,0.0000249132,0.00008157932,0.0001358219,0.0003300801],"domain_scores_gemma":[0.9985189,0.0009228296,0.0001755338,0.00006280066,0.00008441409,0.0002355142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004506265,0.0000937876,0.004547386,0.0001463366,0.000004411071,0.01058327,0.96834,0.00004020233,0.0005683162,0.007443771,0.001406475,0.006780963],"study_design_scores_gemma":[0.000004457233,0.00005479028,0.007698747,0.0001301465,0.000007615729,0.002367055,0.9503141,0.00006070685,0.0004006485,0.000252161,0.03869803,0.00001159043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684894,0.001788978,0.0002740265,0.001361647,0.00008461616,0.00006686378,0.00009600181,0.00001121873,0.02782716],"genre_scores_gemma":[0.9845682,0.002625542,0.0002655919,0.0003510775,0.00007148227,0.00004900336,0.00005381196,0.0000205065,0.01199487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02736239,"threshold_uncertainty_score":0.05440623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007117525902409952,"score_gpt":0.1607312344967534,"score_spread":0.1536137085943434,"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."}}