{"id":"W1509686432","doi":"","title":"주택재고를 고려한 주택구입능력 분석","year":2008,"lang":"ko","type":"article","venue":"국토계획","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Metropolitan area; Stock (firearms); Quarter (Canadian coin); Business; Affordable housing; Quartile; Demographic economics; Finance; Economics; Economic growth; Geography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001194158,0.0002088524,0.0002498851,0.00001845449,0.0007858409,0.0000232401,0.000275638,0.0001173975,0.006075401],"category_scores_gemma":[0.00004725685,0.0001987982,0.0001411229,0.0002234568,0.000857934,0.0001237429,0.000268622,0.0001854164,0.01312526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002133964,"about_ca_system_score_gemma":0.00001967475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053166,"about_ca_topic_score_gemma":0.0002186818,"domain_scores_codex":[0.9984614,0.00005859633,0.0002150051,0.0003585263,0.000416075,0.0004903601],"domain_scores_gemma":[0.9994529,0.00004702718,0.00006961733,0.0002534141,0.000007909818,0.0001691722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000295455,0.0003701501,0.586735,0.00002125627,0.0001047633,0.0002231359,0.01703789,0.00002579135,0.001255117,0.001213114,0.3686481,0.02433611],"study_design_scores_gemma":[0.0003374825,0.0000869286,0.6647999,0.00001377853,0.00002449556,0.00001448631,0.0005534582,0.00003734488,0.0002968558,0.0004788226,0.3330185,0.0003379396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7586242,0.001516025,0.00003643705,0.0012021,0.0006617443,0.0001819007,0.0000236498,0.00006948938,0.2376845],"genre_scores_gemma":[0.9489712,0.001860802,0.0001685352,0.0008268605,0.0003516671,0.000006400419,0.000003075006,0.000020412,0.04779105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.190347,"threshold_uncertainty_score":0.9948332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02288993940954977,"score_gpt":0.209572893143734,"score_spread":0.1866829537341842,"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."}}