{"id":"W4392809053","doi":"10.17714/gumusfenbil.1366028","title":"30 Ekim 2020 Ege denizi depreminin kabuk deformasyonuna etkisinin TUSAGA-Aktif verileri ile incelenmesi","year":2024,"lang":"tr","type":"article","venue":"Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi","topic":"GNSS positioning and interference","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Geodesy; GNSS applications; Precise Point Positioning; Humanities; Gynecology; Geology; Medicine; Art","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":[0.0008794856,0.0007548813,0.0004086804,0.0006427894,0.001224722,0.001874399,0.0005113171,0.001150176,0.03954639],"category_scores_gemma":[0.001038842,0.000259793,0.0006545054,0.0005136996,0.0004481581,0.0007438418,0.001230223,0.00122782,0.01167996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130616,"about_ca_system_score_gemma":0.002356876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180168,"about_ca_topic_score_gemma":0.03207598,"domain_scores_codex":[0.9994299,0.00007073405,0.00003233312,0.00006800416,0.0002404399,0.0001586363],"domain_scores_gemma":[0.9994247,0.00005214451,0.00005983097,0.00002993688,0.0003411883,0.00009225913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003782197,0.001243458,0.1067979,0.002357845,0.0002635512,0.002602681,0.003474167,0.002518278,0.03948672,0.01706487,0.2307651,0.5896432],"study_design_scores_gemma":[0.0001145082,0.001003986,0.1423803,0.000706944,0.0001485232,0.001323456,0.004853404,0.001089308,0.01740221,0.002706246,0.8281469,0.0001241739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4676628,0.021584,0.01254667,0.01423439,0.0046452,0.0007731779,0.02267651,0.001916118,0.4539611],"genre_scores_gemma":[0.6184043,0.01046066,0.008491779,0.002625284,0.0004621534,0.0003837334,0.01380393,0.0002944719,0.3450736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03954639,"threshold_uncertainty_score":0.1322959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007836591975150287,"score_gpt":0.2062653037440408,"score_spread":0.1984287117688905,"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."}}