{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"54f592fec7ef","filters":{"venue":"기술혁신연구"}},"results":[{"id":"W2273293775","doi":"","title":"비모수적 방법을 이용한 OECD 국가별 R&D 효율성과 생산성 분석","year":2003,"lang":"ko","type":"article","venue":"기술혁신연구","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Productivity; Econometrics; Economics; Technical change; Malmquist index; Technological change; Stock (firearms); Total factor productivity; Sample (material); Technical progress; Mathematics; Statistics; Macroeconomics; Geography","authors":[{"name":"박수동","is_ca":false},{"name":"홍순기","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01038345906249495,"gpt":0.2336747600320265,"spread":0.2232913009695315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002244893,0.0004418974,0.0003218106,0.006267683,0.0003593276,0.001610208,0.0002779936,0.0001828388,0.002325505],"category_scores_gemma":[0.005762137,0.0001710294,0.0005395928,0.01132933,0.0004056001,0.0009251134,0.0005481633,0.0003291706,0.001209734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338108,"about_ca_system_score_gemma":0.002695622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196371,"about_ca_topic_score_gemma":0.01777928,"domain_scores_codex":[0.9978123,0.000216844,0.0001532485,0.0002757261,0.001291858,0.0002499904],"domain_scores_gemma":[0.991338,0.001379766,0.002534147,0.0007912304,0.003725477,0.0002313527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002970515,0.0001083411,0.5755643,0.0006205302,0.0004388605,0.0004247044,0.0004345104,0.02341621,0.002119521,0.02092359,0.02578945,0.3498629],"study_design_scores_gemma":[0.00001732924,0.0001155521,0.7987877,0.0001033901,0.0001444698,0.0003639023,0.0003631607,0.003147434,0.006425417,0.002476746,0.1880195,0.00003536525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533418,0.01251711,0.01257454,0.001791013,0.0001810412,0.000133782,0.04529846,0.0008244291,0.1733378],"genre_scores_gemma":[0.9090554,0.01235787,0.01176719,0.0003779272,0.000106552,0.0001988491,0.0348847,0.0001434175,0.03110803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02196371,"threshold_uncertainty_score":0.04367173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3157184388","doi":"","title":"The Comparison of Basic Science Research Capacity of OECD Countries","year":2003,"lang":"en","type":"article","venue":"기술혁신연구","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Index (typography); Lag; Geography; Economics; Econometrics; Demographic economics","authors":[{"name":"Taek Yang Lim","is_ca":false},{"name":"Han Choong Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08465945222868385,"gpt":0.3746106818337544,"spread":0.2899512296050706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004789227,0.0003647112,0.0004242009,0.01216708,0.0004319814,0.002624074,0.0003416727,0.0002597175,0.002174503],"category_scores_gemma":[0.01385798,0.0001614386,0.0005562811,0.01155761,0.0007238959,0.001394787,0.002004403,0.0004231863,0.0005516118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207709,"about_ca_system_score_gemma":0.002574489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006738776,"about_ca_topic_score_gemma":0.003546861,"domain_scores_codex":[0.9963876,0.0007841238,0.0004785061,0.000312121,0.001413447,0.0006240873],"domain_scores_gemma":[0.9809576,0.003843555,0.005147767,0.001570424,0.007106842,0.001373734],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007257276,0.0001362141,0.7674031,0.00111841,0.0009162839,0.000692036,0.002989084,0.01088921,0.003581913,0.02991953,0.008465068,0.1731634],"study_design_scores_gemma":[0.00002428729,0.00012494,0.9442811,0.0002248633,0.0001372276,0.0002713072,0.002497159,0.001400633,0.002486911,0.002697167,0.04580975,0.00004463978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8645957,0.005752257,0.002598332,0.001087953,0.00009261877,0.0000867554,0.00803754,0.0002142751,0.1175345],"genre_scores_gemma":[0.9900413,0.002451103,0.001473593,0.0001235044,0.00005582142,0.00008926517,0.003862807,0.0000243676,0.001878317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952108,"threshold_uncertainty_score":0.02532816,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3140902533","doi":"","title":"비모수적 방법을 이용한 OECD 국가별 R&D 효율성과 생산성 분석","year":2003,"lang":"ko","type":"article","venue":"기술혁신연구","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Productivity; Econometrics; Economics; Technical change; Malmquist index; Technological change; Stock (firearms); Total factor productivity; Sample (material); Technical progress; Mathematics; Statistics; Macroeconomics; Geography","authors":[{"name":"홍순기 박수동","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01038345906249495,"gpt":0.2336747600320265,"spread":0.2232913009695315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002244893,0.0004418974,0.0003218106,0.006267683,0.0003593276,0.001610208,0.0002779936,0.0001828388,0.002325505],"category_scores_gemma":[0.005762137,0.0001710294,0.0005395928,0.01132933,0.0004056001,0.0009251134,0.0005481633,0.0003291706,0.001209734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002338108,"about_ca_system_score_gemma":0.002695622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196371,"about_ca_topic_score_gemma":0.01777928,"domain_scores_codex":[0.9978123,0.000216844,0.0001532485,0.0002757261,0.001291858,0.0002499904],"domain_scores_gemma":[0.991338,0.001379766,0.002534147,0.0007912304,0.003725477,0.0002313527],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002970515,0.0001083411,0.5755643,0.0006205302,0.0004388605,0.0004247044,0.0004345104,0.02341621,0.002119521,0.02092359,0.02578945,0.3498629],"study_design_scores_gemma":[0.00001732924,0.0001155521,0.7987877,0.0001033901,0.0001444698,0.0003639023,0.0003631607,0.003147434,0.006425417,0.002476746,0.1880195,0.00003536525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7533418,0.01251711,0.01257454,0.001791013,0.0001810412,0.000133782,0.04529846,0.0008244291,0.1733378],"genre_scores_gemma":[0.9090554,0.01235787,0.01176719,0.0003779272,0.000106552,0.0001988491,0.0348847,0.0001434175,0.03110803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9977551,"threshold_uncertainty_score":0.04367173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}