{"id":"W6911903021","doi":"10.5281/zenodo.14938034","title":"MUSTAFA KEMAL ATATÜRK VE TÜRK DÜNYASI VİZYONU","year":2025,"lang":"tr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Quarter (Canadian coin); National library","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":[0.0004976185,0.0003441474,0.0003570976,0.000242703,0.00902729,0.003435432,0.001171127,0.0001085212,0.03806171],"category_scores_gemma":[0.0009106084,0.000325493,0.0001622002,0.0003848902,0.000627894,0.0002148045,0.00218253,0.0004898306,0.01329545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372565,"about_ca_system_score_gemma":0.000009194993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001232838,"about_ca_topic_score_gemma":0.000008069968,"domain_scores_codex":[0.9974791,0.0002152593,0.0005026632,0.0006516092,0.000460609,0.0006907659],"domain_scores_gemma":[0.9974499,0.00004415822,0.0001706609,0.0004495768,0.001703357,0.0001823164],"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":[0.00008699523,0.0002172185,0.000004052516,0.0002515509,0.0002763664,0.00002923852,0.01207768,0.000005310135,0.000100401,0.3915321,0.5668479,0.0285712],"study_design_scores_gemma":[0.0006410656,0.0002640446,0.0003958783,0.0001841088,0.000117603,0.00001289814,0.007771833,0.0001060415,0.00007429993,0.001465482,0.9886069,0.000359895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01055435,0.001748528,0.00009826018,0.002489531,0.001218194,0.0005949511,0.001004288,0.0007272284,0.9815646],"genre_scores_gemma":[0.9107645,0.00105073,0.00007101668,0.0007045251,0.001839533,1.207404e-7,0.001449972,0.0013023,0.08281737],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9002101,"threshold_uncertainty_score":0.9999197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585634386173838,"score_gpt":0.2498253435178698,"score_spread":0.2039689996561315,"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."}}