{"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":"b90a6d4abc77","filters":{"venue":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)"}},"results":[{"id":"W4319978501","doi":"10.1109/ifeea57288.2022.10038226","title":"Underwater fish detection in sonar image based on an improved Faster RCNN","year":2022,"lang":"en","type":"article","venue":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Chinese Arctic and Antarctic Administration; Ministry of Natural Resources","keywords":"Artificial intelligence; Convolutional neural network; Computer science; Feature extraction; Intersection (aeronautics); Underwater; Pattern recognition (psychology); Object detection; Feature (linguistics); Pyramid (geometry); Computer vision; Sonar; Engineering; Mathematics","authors":[{"name":"Di Zhao","is_ca":false},{"name":"Bo Yang","is_ca":false},{"name":"Yinke Dou","is_ca":false},{"name":"Xiaojia Guo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00729957020388391,"gpt":0.2211178585439608,"spread":0.2138182883400769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005513229,0.0008754285,0.0007007779,0.001056642,0.0003417346,0.0006010967,0.001319663,0.000711308,0.00184742],"category_scores_gemma":[0.001031019,0.0004030364,0.000654579,0.0009359154,0.0003269135,0.001237447,0.0007359662,0.0006118194,0.0007555287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008405037,"about_ca_system_score_gemma":0.001088765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02100583,"about_ca_topic_score_gemma":0.02307675,"domain_scores_codex":[0.9995232,0.00002638097,0.00002121651,0.0001639326,0.0001736209,0.00009174151],"domain_scores_gemma":[0.9995634,0.00006780413,0.00005029131,0.00006570655,0.0002283386,0.00002453238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003381605,0.000125185,0.004758019,0.000144237,0.0001522659,0.0002458174,0.00009115566,0.1400254,0.1048286,0.002578535,0.004357458,0.7423552],"study_design_scores_gemma":[0.00001451508,0.00009374255,0.002603662,0.00001115392,0.00006121016,0.0001644544,0.00001756197,0.9704137,0.02382505,0.0006124248,0.002157235,0.00002524247],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09683283,0.001080645,0.8907427,0.0002460156,0.0001705542,0.00008628804,0.0002615712,0.005094395,0.005485053],"genre_scores_gemma":[0.6163063,0.0008162796,0.3701215,0.0003531749,0.00008792377,0.0001047213,0.000868761,0.0002523606,0.01108894],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02100583,"threshold_uncertainty_score":0.04176712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319978510","doi":"10.1109/ifeea57288.2022.10037806","title":"A Study of the Characteristics of the Induced Geoelectric Field of Geomagnetic Storms in March 1989","year":2022,"lang":"en","type":"article","venue":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","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":"Earth's magnetic field; Geomagnetic storm; Geology; Geomagnetically induced current; Storm; Geophysics; Climatology; Meteorology; Magnetic field; Geography; Oceanography; Physics","authors":[{"name":"Yilin Yang","is_ca":false},{"name":"Zezhong Wang","is_ca":false},{"name":"Lianguang Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005746988991064192,"gpt":0.2037108426825945,"spread":0.1979638536915303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001437502,0.00007836178,0.0001294339,0.0004468256,0.0001714783,0.0001670913,0.0001143137,0.000137183,0.0003541469],"category_scores_gemma":[0.0005606977,0.0000622931,0.0001035143,0.0006952596,0.00009129415,0.0001055443,0.0001013868,0.0001225968,0.00009253763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003466698,"about_ca_system_score_gemma":0.0001920773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01430148,"about_ca_topic_score_gemma":0.01971012,"domain_scores_codex":[0.9999014,0.000009212061,0.000006390728,0.00001727831,0.00003715947,0.00002840577],"domain_scores_gemma":[0.9996874,0.00004878223,0.00007307747,0.00002397319,0.0001207454,0.00004607765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003898612,0.0001032996,0.9297271,0.000053784,0.00005535935,0.001168727,0.0006901324,0.004447208,0.03089632,0.0002894093,0.0008945229,0.03128421],"study_design_scores_gemma":[0.000004700029,0.00003865376,0.9946353,0.000002359001,0.00000747352,0.000127246,0.00009989794,0.003172653,0.00138046,0.00002331159,0.0005050711,0.000002768678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998718,0.00002862447,0.0003637361,0.0000126608,0.000002202465,0.00000632574,0.0001945169,0.000009050175,0.0006648874],"genre_scores_gemma":[0.9990551,0.00002899886,0.0001519042,0.000002852164,0.000002413031,0.000002555515,0.0005239553,0.000001713288,0.000230598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01430148,"threshold_uncertainty_score":0.02843648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}