{"id":"W7043984018","doi":"","title":"TÜRKİYE’NİN KÜÇÜK ÖLÇEKLİ ŞEHİRLERİ İÇİN YIĞMA KONUT POTANSİYELİNİN DEĞERLENDİRİLMESİ","year":2010,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Turkish Urban and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Paid work; Public transport","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":[0.001042744,0.0008352009,0.0007292045,0.0009686204,0.002788762,0.002949243,0.0007866852,0.001747853,0.02936896],"category_scores_gemma":[0.001560796,0.0004772557,0.0008799176,0.000954322,0.001811369,0.002175919,0.002430766,0.002145715,0.006431466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277354,"about_ca_system_score_gemma":0.003729844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01406205,"about_ca_topic_score_gemma":0.02533009,"domain_scores_codex":[0.9990034,0.0002088465,0.00006677427,0.0001449865,0.0003474492,0.0002285115],"domain_scores_gemma":[0.9992363,0.0001111495,0.0001278792,0.0000523027,0.0003338594,0.0001384256],"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":[0.003391376,0.001152724,0.07497277,0.006565604,0.0004786077,0.01040316,0.03616721,0.001076872,0.1096263,0.05331113,0.07840305,0.6244512],"study_design_scores_gemma":[0.0001084932,0.0009373756,0.1126095,0.001591731,0.0002272789,0.005688549,0.03188678,0.0004895747,0.02102616,0.008663617,0.8165445,0.0002264185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.558328,0.06357463,0.01107799,0.0227672,0.002800697,0.0005445076,0.002299701,0.0006843885,0.3379228],"genre_scores_gemma":[0.7204018,0.035506,0.01234555,0.003149679,0.0003655765,0.0003271239,0.001957045,0.0002561134,0.2256911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02936896,"threshold_uncertainty_score":0.09824896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254077184863293,"score_gpt":0.2299172925247852,"score_spread":0.2173765206761523,"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."}}