{"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":"aae489e87726","filters":{"venue":"한국해양환경·에너지학회 학술대회논문집"}},"results":[{"id":"W1950693226","doi":"","title":"Pack ice 상태에서의 합성얼음을 이용한 자항시험기법 연구","year":2012,"lang":"ko","type":"article","venue":"한국해양환경·에너지학회 학술대회논문집","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":"Coast guard; Towing; Arctic ice pack; Hull; Sea ice; Geology; Fast ice; Meteorology; Propulsion; Marine engineering; Drift ice; Environmental science; Engineering; Oceanography; Geography; Aerospace engineering","authors":[{"name":"이승기","is_ca":false},{"name":"김문찬","is_ca":false},{"name":"강현지","is_ca":false},{"name":"신용진","is_ca":false},{"name":"이춘주","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01630406662143589,"gpt":0.256065230473996,"spread":0.2397611638525601,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706812,0.0002315438,0.0002795015,0.0002070497,0.0007999856,0.0004031148,0.0003348067,0.0002462009,0.004060971],"category_scores_gemma":[0.0006682195,0.0001178466,0.0003326807,0.0002320043,0.0005423881,0.0008010196,0.0003024199,0.0003181045,0.0005300058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274916,"about_ca_system_score_gemma":0.0005718128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268564,"about_ca_topic_score_gemma":0.02251409,"domain_scores_codex":[0.9997414,0.00001845547,0.00002048176,0.00004945841,0.000123,0.0000472479],"domain_scores_gemma":[0.9994962,0.00006537039,0.00003270962,0.00004111742,0.0003151868,0.00004930393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002471839,0.000649346,0.0880558,0.0023713,0.0001853215,0.0009931418,0.001679811,0.0119217,0.7651682,0.00202177,0.005059604,0.1194221],"study_design_scores_gemma":[0.00009257784,0.004532675,0.2453222,0.0001158223,0.0002298145,0.0007896909,0.00327419,0.01742878,0.6870865,0.0005832291,0.04040452,0.0001399727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832969,0.0002861244,0.006862531,0.00009494134,0.0001377726,0.0001000102,0.0004372131,0.00006075636,0.00872386],"genre_scores_gemma":[0.9888187,0.0002606549,0.003408539,0.00008536586,0.00002072601,0.00003889086,0.0007558228,0.00003147069,0.006579854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01268564,"threshold_uncertainty_score":0.02522355,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2168098609","doi":"","title":"심해무인잠수정 운용사례 분석을 통한 해미래의 운용 전략 수립","year":2012,"lang":"ko","type":"article","venue":"한국해양환경·에너지학회 학술대회논문집","topic":"Advanced Algorithms and Applications","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":"Remotely operated underwater vehicle; Remotely operated vehicle; Marine engineering; Metre; Seabed; Geology; Remote sensing; Environmental science; Engineering; Oceanography; Computer science; Artificial intelligence; Mobile robot; Robot","authors":[{"name":"백혁","is_ca":false},{"name":"전봉환","is_ca":false},{"name":"최고","is_ca":false},{"name":"이판묵","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01070799459087859,"gpt":0.244626284586351,"spread":0.2339182899954724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007298163,0.000437486,0.0002579324,0.0005772265,0.0004341171,0.0006712433,0.0005632358,0.0004290565,0.001329139],"category_scores_gemma":[0.003470765,0.0001734598,0.0003960583,0.000558948,0.0002977707,0.001039988,0.0002731804,0.0003953068,0.0007805118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582843,"about_ca_system_score_gemma":0.0005603184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003715586,"about_ca_topic_score_gemma":0.003484479,"domain_scores_codex":[0.9991775,0.0001426002,0.00005027563,0.000284711,0.0002740569,0.00007086025],"domain_scores_gemma":[0.998542,0.0006254328,0.0001915287,0.0002055348,0.0003963534,0.00003916698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002017046,0.0002202982,0.1110126,0.0001916841,0.0001639619,0.0002087208,0.0004212986,0.1772023,0.0535316,0.009913622,0.001562504,0.6453696],"study_design_scores_gemma":[0.00001515123,0.0002953669,0.04570738,0.00002392114,0.00006052197,0.0005149742,0.0004278946,0.8903675,0.042214,0.004629326,0.01567989,0.00006405038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2364592,0.0004407564,0.7593959,0.0001422654,0.00004821373,0.00007528425,0.0001294896,0.0004190749,0.002889949],"genre_scores_gemma":[0.6087188,0.0003997147,0.3860203,0.00005881337,0.00004301356,0.0001047532,0.0006230431,0.0001681412,0.003863342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003715586,"threshold_uncertainty_score":0.007387877,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}