{"meta":{"query_hash":"2345b430fcc9","filters":{"venue":"부동산경영"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2345b430fcc9","api":"https://metacan.xera.ac/api/v1/cohort?venue=%EB%B6%80%EB%8F%99%EC%82%B0%EA%B2%BD%EC%98%81"},"results":[{"id":"W3175942434","doi":"","title":"아파트 분양제도 및 전매에 관한 연구 -캐나다제도와 비교분석","year":2021,"lang":"ko","type":"article","venue":"부동산경영","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warranty; Apartment; Business; Real estate; Order (exchange); Payment; Occupancy; Element (criminal law); Actuarial science; Finance; Engineering; Architectural engineering; Law; Political science","score_opus":0.03160786006972451,"score_gpt":0.31992922035868926,"score_spread":0.28832136028896477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175942434","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017919904,0.00078560686,0.9873847,0.0043000635,0.0010124722,0.00019357522,0.00006214366,0.00072475965,0.0037447193],"genre_scores_gemma":[0.3662757,0.00024455195,0.6288653,0.0017155916,0.00024588156,0.000020684693,0.000014785787,0.000041735486,0.0025757584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966591,0.00019028463,0.0005717424,0.0011416347,0.000635559,0.00080170634],"domain_scores_gemma":[0.9970826,0.00039008068,0.00015082244,0.0016114569,0.00043863367,0.00032643776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031499946,0.00037688547,0.0004617725,0.00009181931,0.00025024955,0.00035350243,0.00118933,0.00022675724,0.0004505306],"category_scores_gemma":[0.00072265294,0.00040830727,0.0001624455,0.0007089198,0.00018542819,0.00046623978,0.0011385818,0.00058532145,0.0007065781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021155738,0.00043548748,0.0005479529,0.00015428544,0.000067965615,0.0018244078,0.0007635764,0.0006347066,0.0033517026,0.70782256,0.019272702,0.2651035],"study_design_scores_gemma":[0.00057414355,0.00028357637,0.0014880316,0.00041368502,0.00006513777,0.00020387651,0.000055039727,0.33250505,0.023457367,0.6024758,0.037264887,0.0012133636],"about_ca_topic_score_codex":0.000039336875,"about_ca_topic_score_gemma":0.00002370733,"teacher_disagreement_score":0.3644837,"about_ca_system_score_codex":0.0001492116,"about_ca_system_score_gemma":0.00032669058,"threshold_uncertainty_score":0.99983686},"labels":[],"label_agreement":null},{"id":"W3188726618","doi":"","title":"주택유형별 매매가격 변동의 상호관계에 관한 실증연구 - 서울지역을 중심으로 -","year":2019,"lang":"ko","type":"article","venue":"부동산경영","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Quarter (Canadian coin); Shock (circulatory); Economics; Econometrics; House price; Financial economics; Geography; Engineering","score_opus":0.01817865960268062,"score_gpt":0.19083901207659748,"score_spread":0.17266035247391687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188726618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6294258,0.0014853856,0.00014517632,0.0013574093,0.006433563,0.00044454198,0.00025222916,0.00009475369,0.36036113],"genre_scores_gemma":[0.95787996,0.0031810766,0.0004432848,0.0011294733,0.0010347128,0.000017341215,0.00007547736,0.00015889388,0.036079776],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961254,0.00004159271,0.0013876731,0.0012107701,0.000071006005,0.0011635395],"domain_scores_gemma":[0.9973754,0.00016825009,0.0007560683,0.0013230494,0.000045142682,0.00033206245],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010954923,0.00055259606,0.0012178217,0.00044717838,0.00023386689,0.00049550156,0.0007758588,0.00057416316,0.013676404],"category_scores_gemma":[0.00012599575,0.00074466754,0.0004811755,0.00038177735,0.00013246934,0.00063538033,0.00030030022,0.000583657,0.0639588],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002010347,0.0005298336,0.85160464,0.00048761372,0.0004916991,0.000038084163,0.0016424664,0.00068354135,0.00006737901,0.08527353,0.03464599,0.024334196],"study_design_scores_gemma":[0.0022930433,0.00027062395,0.07560969,0.000113379705,0.00005204286,0.000019140956,0.00026769668,0.016996436,0.000097633456,0.012647632,0.8899347,0.0016979404],"about_ca_topic_score_codex":0.00046914123,"about_ca_topic_score_gemma":0.00009641618,"teacher_disagreement_score":0.85528874,"about_ca_system_score_codex":0.00041906847,"about_ca_system_score_gemma":0.000118602075,"threshold_uncertainty_score":0.99950045},"labels":[],"label_agreement":null}]}