{"id":"W7145584548","doi":"","title":"モグール・ウルス後期の交通とその掌握 --宿駅と通行証の観点から--","year":2016,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dominion; State (computer science); Order (exchange); Argument (complex analysis); Middle East; Quarter (Canadian coin); Islamization; Boom","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000241317,0.0001767094,0.00007585751,0.0007169805,0.002802014,0.002297957,0.0003277208,0.0003326458,0.005773704],"category_scores_gemma":[0.0004763074,0.00006076064,0.00008802179,0.001024379,0.00325091,0.00180998,0.0007893904,0.0004690228,0.0005897263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00252173,"about_ca_system_score_gemma":0.001321056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02850101,"about_ca_topic_score_gemma":0.03889418,"domain_scores_codex":[0.9997875,0.00005107125,0.000008729248,0.00003418359,0.00004581386,0.00007280054],"domain_scores_gemma":[0.9997697,0.00005627046,0.00007762102,0.00001252372,0.00006020346,0.00002371886],"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":[0.0001190624,0.000117162,0.1069817,0.0002140908,0.00002330052,0.002686889,0.1331845,0.00115438,0.001831578,0.6405333,0.009987256,0.1031669],"study_design_scores_gemma":[0.00001181957,0.0001674551,0.21911,0.0004591391,0.00002791777,0.001773818,0.2526033,0.001003042,0.002297526,0.03240023,0.4900872,0.00005858173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6742977,0.003836501,0.002320982,0.002637019,0.0001094675,0.0000316563,0.0001446438,0.00001969266,0.3166022],"genre_scores_gemma":[0.9826961,0.001310171,0.0003093468,0.0001101014,0.00003317321,0.00001474045,0.00005608713,0.000005988803,0.01546441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02850101,"threshold_uncertainty_score":0.05667025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02860866014489461,"score_gpt":0.2938730909672529,"score_spread":0.2652644308223583,"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."}}