{"meta":{"query_hash":"3b41b98416d3","filters":{"venue":"의학물리 = Korean journal of medical physics"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/3b41b98416d3","api":"https://metacan.xera.ac/api/v1/cohort?venue=%EC%9D%98%ED%95%99%EB%AC%BC%EB%A6%AC+%3D+Korean+journal+of+medical+physics"},"results":[{"id":"W2495294076","doi":"","title":"폐암 SBRT에서 호흡동조 VMAT의 정확성 분석을 위한 새로운 4D 팬텀 모델 개발","year":2014,"lang":"ko","type":"article","venue":"의학물리 = Korean journal of medical physics","topic":"Medical Imaging and Analysis","field":"Engineering","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":"Imaging phantom; Nuclear medicine; Medicine; Radiation treatment planning; Homogeneous; Radiosurgery; Radiation therapy; Lung cancer; Mathematics; Radiology","score_opus":0.010215738214692365,"score_gpt":0.24737503549430437,"score_spread":0.237159297279612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495294076","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052142654,0.028129619,0.7078807,0.008380087,0.0013539648,0.00030128926,0.0032110678,0.004721648,0.19387902],"genre_scores_gemma":[0.42691258,0.018461045,0.49831423,0.0023993752,0.0006684623,0.00044112306,0.0033198963,0.002036302,0.047446962],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992022,0.00016331175,0.00005004639,0.00013344329,0.00038315583,0.000067864814],"domain_scores_gemma":[0.99931884,0.00013333788,0.0000668276,0.00009204047,0.00032064004,0.000068323956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010450493,0.0006941285,0.00049972837,0.0014616137,0.00062698335,0.003922863,0.00085597904,0.0009125094,0.010778353],"category_scores_gemma":[0.0016059338,0.0006419754,0.00096407253,0.0012045807,0.0011744866,0.0023393834,0.0011407271,0.0011225974,0.0034179662],"study_design_candidate":"simulation_or_modeling","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":[0.0003735998,0.000118531716,0.011717637,0.0013010437,0.00020177908,0.00035845846,0.0006871106,0.05464794,0.022988183,0.10536099,0.048180703,0.754064],"study_design_scores_gemma":[0.00013668109,0.00025134225,0.010956826,0.000681727,0.00038539895,0.0022945278,0.00093191216,0.19391944,0.033778813,0.08249303,0.67382395,0.00034631192],"about_ca_topic_score_codex":0.0065337103,"about_ca_topic_score_gemma":0.0073449747,"teacher_disagreement_score":0.010778353,"about_ca_system_score_codex":0.0015940245,"about_ca_system_score_gemma":0.0022576433,"threshold_uncertainty_score":0.036057115},"labels":[],"label_agreement":null}]}