{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001208628,0.001312934,0.00155196,0.0009515426,0.003839888,0.001033489,0.003308035,0.001879262,0.006119985],"category_scores_gemma":[0.00056224,0.001621202,0.0009196216,0.003661475,0.003038781,0.001945196,0.0007917594,0.002436294,0.001763018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092053,"about_ca_system_score_gemma":0.001608114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01202064,"about_ca_topic_score_gemma":0.05213363,"domain_scores_codex":[0.9913465,0.0009121133,0.0009849041,0.002120256,0.001922127,0.002714072],"domain_scores_gemma":[0.9945639,0.0005873201,0.0008576151,0.001433222,0.0009047296,0.001653176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009756063,0.001758073,0.0229335,0.0003158403,0.001207541,0.004375983,0.09477831,0.00001458691,0.002601908,0.5979303,0.262969,0.01013932],"study_design_scores_gemma":[0.001810332,0.0001957072,0.008703025,0.0001323944,0.0004907975,0.00001785106,0.06587581,0.00005382555,0.0002379992,0.001849335,0.9187493,0.001883624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.495377,0.001026564,0.0001069091,0.004338644,0.007258764,0.001015282,0.0005066416,0.0007991212,0.4895711],"genre_scores_gemma":[0.8153456,0.002006143,0.0006093187,0.0005160506,0.002204083,0.000003367387,0.0001096791,0.0001507554,0.179055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6557803,"threshold_uncertainty_score":0.9999622,"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."}}