{"id":"W2909277546","doi":"10.5578/fmbd.67712","title":"Gayrimenkul Değerleme Uzmanlığı Yeterlikleri Açısından Gelişmiş Ülkeler ile Türkiye’nin Karşılaştırılması","year":2019,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Public Administration and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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":[0.001135407,0.001164977,0.0006876997,0.001344802,0.002758853,0.003678325,0.0007942754,0.001765959,0.03340061],"category_scores_gemma":[0.002017766,0.0004066564,0.0007532344,0.001166502,0.00158096,0.002491673,0.001553759,0.001707331,0.007831839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901845,"about_ca_system_score_gemma":0.003891324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170079,"about_ca_topic_score_gemma":0.01663653,"domain_scores_codex":[0.999365,0.0001089833,0.00006826466,0.00009599658,0.0001953091,0.000166522],"domain_scores_gemma":[0.9989889,0.0001788409,0.0001396901,0.00004388625,0.0005279552,0.0001206952],"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":[0.00191245,0.0009281454,0.08657276,0.002388085,0.0001759267,0.0159536,0.01099247,0.003290406,0.01051395,0.04391802,0.1563646,0.6669895],"study_design_scores_gemma":[0.0001864664,0.001433586,0.1256759,0.002652712,0.0004272327,0.02768411,0.0839514,0.0109752,0.02071914,0.02098897,0.7048021,0.0005032597],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6434579,0.03958109,0.02673663,0.02816737,0.003586372,0.000707461,0.002400323,0.001234707,0.2541281],"genre_scores_gemma":[0.8636282,0.01929882,0.02475559,0.002472817,0.000357199,0.0003378233,0.002404944,0.0001989509,0.08654571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03340061,"threshold_uncertainty_score":0.1117361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006957632250804817,"score_gpt":0.2290991324205768,"score_spread":0.222141500169772,"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."}}