{"id":"W7043983314","doi":"","title":"Türkiye&amp;#039;de İkamet Amaçlı Konut Pazarının Makroekonomik Değişkenler ile İlişkisi","year":2016,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Quarter (Canadian coin); Paid work; Point (geometry)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006501817,0.001000089,0.0003490876,0.0009210074,0.003759017,0.008347695,0.0007962442,0.003828431,0.433305],"category_scores_gemma":[0.001940198,0.000377483,0.0004867293,0.001314663,0.001305664,0.002875945,0.002732163,0.001838448,0.219761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003465929,"about_ca_system_score_gemma":0.003758582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02297583,"about_ca_topic_score_gemma":0.03869874,"domain_scores_codex":[0.9990073,0.0001369321,0.00005974316,0.0001723177,0.0003892201,0.000234507],"domain_scores_gemma":[0.9988249,0.0001588534,0.00007258244,0.0001082906,0.0006499123,0.0001854524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002222239,0.0001454069,0.004985157,0.0004796732,0.00001945302,0.001541106,0.003123625,0.000309015,0.006131841,0.03931917,0.7400316,0.2036917],"study_design_scores_gemma":[0.00000714635,0.00002119369,0.002554794,0.0001213142,0.00000346299,0.0002267306,0.001221368,0.0001137281,0.0006614512,0.001056867,0.9939963,0.00001567477],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004879768,0.001519232,0.001055787,0.008244065,0.001329389,0.00009307729,0.0007461331,0.0003855655,0.9817469],"genre_scores_gemma":[0.01575791,0.001104678,0.000829566,0.0009571781,0.0001488802,0.00006010396,0.0004437855,0.0001555524,0.9805423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.433305,"threshold_uncertainty_score":0.8083217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722052753975381,"score_gpt":0.1833195787892987,"score_spread":0.1560990512495448,"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."}}