{"id":"W6894053547","doi":"10.5281/zenodo.8357164","title":"TİMUR'UN KAFKASYA, ORTADOĞU VE ANADOLUDA FETİH HAREKETLERİ","year":2023,"lang":"tr","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Period (music); Front (military); Shot (pellet); Quarter (Canadian coin)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002653335,0.0007998884,0.0007890417,0.0007503727,0.008617048,0.00243121,0.00394116,0.0008594028,0.1616435],"category_scores_gemma":[0.001220969,0.0009639772,0.0003798066,0.001228414,0.001489628,0.0005636427,0.003563029,0.001814298,0.1506693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007072039,"about_ca_system_score_gemma":0.00003897527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002032419,"about_ca_topic_score_gemma":0.00003647488,"domain_scores_codex":[0.9927958,0.0008411609,0.0009576431,0.001755966,0.002004142,0.001645349],"domain_scores_gemma":[0.9953067,0.0001678676,0.0006988851,0.001311041,0.001545719,0.0009697889],"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":[0.0001469023,0.0001515245,0.00001178696,0.0002183512,0.0004466242,0.0003688875,0.009358007,0.00003085043,0.000111873,0.1744589,0.6650134,0.1496829],"study_design_scores_gemma":[0.0006050831,0.000346905,0.0005751892,0.0003753839,0.000125755,0.00005745464,0.001888839,0.0001324539,0.00001558038,0.003055759,0.9918613,0.0009602906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007188467,0.0003812244,0.0002724139,0.002922136,0.001392953,0.001616939,0.001275268,0.002703951,0.9887162],"genre_scores_gemma":[0.134787,0.01057547,0.0006003357,0.001566375,0.008422118,6.079914e-7,0.01195322,0.02465943,0.8074355],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3268479,"threshold_uncertainty_score":0.999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07339860407478375,"score_gpt":0.2716198704879172,"score_spread":0.1982212664131335,"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."}}