{"id":"W7052550539","doi":"","title":"RUS KİŞİADBİLİMİNDE YENİ BİR ADLANDIRMA SİSTEMİ: SOVYET EKOLÜ","year":2019,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Order (exchange); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003599416,0.0004272407,0.0002730349,0.0005734756,0.00189321,0.002118924,0.0003072265,0.0007499733,0.01102893],"category_scores_gemma":[0.0003093601,0.0001919319,0.0002589774,0.000648886,0.0007614096,0.001038343,0.001132572,0.001187502,0.00166518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708044,"about_ca_system_score_gemma":0.001418713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066736,"about_ca_topic_score_gemma":0.02143078,"domain_scores_codex":[0.9998447,0.00003025744,0.000007914457,0.00003555718,0.00003907148,0.00004251512],"domain_scores_gemma":[0.9998863,0.00002126457,0.00002065927,0.000004034366,0.00003964102,0.00002806046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00152388,0.0008386066,0.1659537,0.002418076,0.0001987899,0.01114783,0.04226958,0.0009800098,0.0267159,0.07572364,0.06733288,0.6048971],"study_design_scores_gemma":[0.00004567464,0.0005860483,0.2606434,0.001012132,0.0001486285,0.004905444,0.04513045,0.000845944,0.009133487,0.009047704,0.6684096,0.00009146675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.746128,0.04815212,0.002856669,0.008781236,0.001315702,0.0001169987,0.000779978,0.0001488815,0.1917204],"genre_scores_gemma":[0.8714808,0.01401769,0.001934161,0.0008482809,0.000178484,0.00004209016,0.0007927506,0.00003733265,0.1106684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102893,"threshold_uncertainty_score":0.03689539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005394634989693057,"score_gpt":0.1630957473637618,"score_spread":0.1577011123740687,"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."}}