{"id":"W6997284172","doi":"","title":"Uzun vadeli konut finansmanı sisteminin (mortgage) Türk konut sektörü içerisindeki yeri ve satınalma eğiliminin belirlenmesine yönelik uygulama II","year":2022,"lang":"tr","type":"article","venue":"Dspace Repository (Marmara Üniversitesi)","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)","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":[0.0007873875,0.0003573644,0.0003705325,0.0007873756,0.001616433,0.002637431,0.0004968129,0.0006156883,0.03879094],"category_scores_gemma":[0.002203842,0.0001956003,0.0003062282,0.001263517,0.0007521044,0.001311812,0.001256662,0.0008739392,0.004594874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199461,"about_ca_system_score_gemma":0.002989061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02197694,"about_ca_topic_score_gemma":0.03701681,"domain_scores_codex":[0.999504,0.00009682203,0.00003573819,0.00008638237,0.0001666436,0.0001103919],"domain_scores_gemma":[0.9991251,0.000201572,0.0001421975,0.00005894544,0.0003495172,0.0001226296],"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":[0.001005226,0.0004239656,0.215343,0.001443781,0.0001557236,0.003492314,0.02561071,0.002405374,0.005955087,0.1027863,0.09754299,0.5438356],"study_design_scores_gemma":[0.00006688149,0.0004460537,0.37717,0.001187819,0.0001443883,0.001881858,0.04607534,0.002832474,0.00654423,0.02322767,0.5402924,0.0001308082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6488659,0.007425437,0.008641324,0.008875329,0.0005658491,0.0001934185,0.004108359,0.0003011045,0.3210233],"genre_scores_gemma":[0.8602318,0.004501364,0.007238467,0.0004240294,0.0001169753,0.0001370633,0.002769528,0.00007294059,0.1245078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03879094,"threshold_uncertainty_score":0.1297686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692122471895779,"score_gpt":0.2415705573371804,"score_spread":0.2246493326182226,"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."}}