{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"7a735098984a","filters":{"venue":"医学検査"}},"results":[{"id":"W3112717403","doi":"10.14932/jamt.20-8","title":"認知機能低下の鑑別における日本語版Montoreal Cognitive Assessment(MoCA-J)の特性","year":2020,"lang":"ja","type":"article","venue":"医学検査","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Montreal Cognitive Assessment; Cognition; Computer science; Psychology; Cognitive impairment; Psychiatry","authors":[{"name":"福田 雅子","is_ca":false},{"name":"中森 正博","is_ca":false},{"name":"今村 栄次","is_ca":false},{"name":"小川 加菜美","is_ca":false},{"name":"西野 真佐美","is_ca":false},{"name":"平田 明子","is_ca":false},{"name":"若林 伸一","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0371561716639369,"gpt":0.3685279146999957,"spread":0.3313717430360588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005892427,0.0005502185,0.0007733137,0.0001654042,0.000281667,0.0002100375,0.0003440983,0.0002695146,0.01467504],"category_scores_gemma":[0.0005667491,0.0005244788,0.0003658097,0.0007218141,0.0003604573,0.0003090769,0.0003768345,0.001161125,0.005083298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001815598,"about_ca_system_score_gemma":0.000809994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001362404,"about_ca_topic_score_gemma":0.00001403917,"domain_scores_codex":[0.9950383,0.0004122701,0.0006452192,0.001027659,0.001578399,0.001298123],"domain_scores_gemma":[0.997086,0.0003577297,0.0001904776,0.0003153119,0.000625581,0.001424851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003383944,0.002972611,0.7355796,0.001481456,0.003147918,0.004174352,0.005991552,0.000001238832,0.008768828,0.001251825,0.06594753,0.1672992],"study_design_scores_gemma":[0.01603461,0.007767511,0.8995296,0.0008666779,0.002025183,0.00005121476,0.0121267,0.004188554,0.005611626,0.0001234966,0.0506452,0.001029629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5054102,0.002278737,0.003070878,0.02062807,0.0007641851,0.002632527,0.0004019814,0.0002827683,0.4645306],"genre_scores_gemma":[0.9776645,0.000552801,0.000196534,0.009573742,0.002005192,0.000114481,0.0003749114,0.00009651756,0.009421311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4722543,"threshold_uncertainty_score":0.9997207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901891201","doi":"10.14932/jamt.17-156","title":"イオン交換高速液体クロマトグラフィ法においてHbA1c値が偽低値を示した異常ヘモグロビン，HbE-Saskatoonの1例","year":2018,"lang":"ja","type":"article","venue":"医学検査","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science","authors":[{"name":"井上 健司","is_ca":false},{"name":"中島 瑞枝","is_ca":false},{"name":"増永 晴子","is_ca":false},{"name":"谷垣 直子","is_ca":false},{"name":"鳩山 宜伸","is_ca":false},{"name":"永汐 華","is_ca":false},{"name":"馬場 威","is_ca":false},{"name":"野原 正信","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01000810247839862,"gpt":0.2129684591897342,"spread":0.2029603567113356,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002884923,0.0005243406,0.0004891412,0.0002859221,0.0003370295,0.00007309879,0.0006984891,0.0007684045,0.004700027],"category_scores_gemma":[0.00008541905,0.0005587659,0.0001856981,0.000622307,0.0007633941,0.0003259087,0.0001518196,0.0007302915,0.007817536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009500903,"about_ca_system_score_gemma":0.00008183274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039689,"about_ca_topic_score_gemma":0.0002930986,"domain_scores_codex":[0.997601,0.00006166153,0.0005316954,0.0005860208,0.0002630333,0.0009566281],"domain_scores_gemma":[0.998458,0.00009260617,0.00006324428,0.001074445,0.0001250595,0.0001866454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002893556,0.0005878541,0.005508282,0.001121214,0.001577013,0.0005453575,0.01482777,0.0006295666,0.01573813,0.5565893,0.3405406,0.06204554],"study_design_scores_gemma":[0.003125441,0.002408543,0.01882666,0.000723783,0.0005014354,0.0003205654,0.008533653,0.02481985,0.02589146,0.1161495,0.7945467,0.00415251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2948742,0.008493499,0.001248682,0.0009899358,0.00391912,0.0003505374,0.0000803888,0.001829105,0.6882145],"genre_scores_gemma":[0.9887649,0.0004584854,0.001479347,0.000217787,0.001269935,0.00002321579,0.00002066971,0.00008987881,0.007675754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6938907,"threshold_uncertainty_score":0.9996864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}