{"id":"W7080238463","doi":"","title":"Katılım bankaları konvansiyonel bankalardan nasıl ayrışılır? Finansallarına ve ekonomik koşullardaki değişimlere dirençleri üzerine kıyaslamalı inceleme","year":2021,"lang":"en","type":"other","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Asset (computer security); Psychological resilience; Resilience (materials science); Inflation (cosmology); Central bank","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":[0.0008404356,0.0005724514,0.0004810881,0.0008263844,0.0008207161,0.002627406,0.000324973,0.0004921371,0.01016161],"category_scores_gemma":[0.002508833,0.0001777343,0.0003790216,0.001277528,0.0006527475,0.001400741,0.0007366461,0.0007250606,0.002261851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155889,"about_ca_system_score_gemma":0.001804651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170701,"about_ca_topic_score_gemma":0.0167601,"domain_scores_codex":[0.9995968,0.00007256383,0.00004352071,0.00009095504,0.00009339995,0.0001028055],"domain_scores_gemma":[0.9981621,0.0002755031,0.0007051203,0.00009744446,0.0006118047,0.0001479581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001068994,0.0002395557,0.754637,0.0005468156,0.0003070519,0.002151664,0.002730036,0.005802117,0.001913911,0.02257193,0.02797565,0.1800554],"study_design_scores_gemma":[0.00006447692,0.0002808895,0.890348,0.0006409263,0.0003913326,0.001537243,0.01527221,0.01198291,0.003331214,0.008458961,0.06760307,0.00008888588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619237,0.004013977,0.001859443,0.003818714,0.0002147915,0.00002600868,0.001362325,0.0001554373,0.02662556],"genre_scores_gemma":[0.9931356,0.001361613,0.0005442605,0.0001371276,0.00004397859,0.00001117845,0.0008744673,0.00001380368,0.003878078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02170701,"threshold_uncertainty_score":0.04316127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253911657262832,"score_gpt":0.2102764898133993,"score_spread":0.197737373240771,"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."}}