{"meta":{"query_hash":"c5f47d156703","filters":{"venue":"WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/c5f47d156703","api":"https://metacan.xera.ac/api/v1/cohort?venue=WSEAS+TRANSACTIONS+ON+BIOLOGY+AND+BIOMEDICINE"},"results":[{"id":"W3137664120","doi":"10.37394/23208.2021.18.3","title":"Enhancing Human Mobility Exoskeleton Comfort Using Admittance Controller","year":2021,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Exoskeleton; Admittance; Controller (irrigation); Trajectory; PID controller; Control theory (sociology); Control engineering; Engineering; Computer science; Simulation; Powered exoskeleton; Control (management); Electrical impedance; Artificial intelligence","score_opus":0.012436899002946051,"score_gpt":0.27682257864990517,"score_spread":0.26438567964695914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137664120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5990944,0.0014185607,0.39809272,0.0003854495,0.00045895186,0.000161149,0.00003053477,0.000116396564,0.00024182013],"genre_scores_gemma":[0.9979306,0.00018915595,0.0015342893,0.00015187479,0.00005212582,0.00000931075,0.000016082024,0.000010781815,0.00010577933],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932855,0.00003524516,0.00022471065,0.00018782406,0.000052755844,0.00017091254],"domain_scores_gemma":[0.99963164,0.000078055884,0.000019173742,0.00013349316,0.000052623163,0.00008499952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351778,0.00011999108,0.00021383043,0.000081058235,0.00016571488,0.0000066407774,0.00003791653,0.0001291311,0.000075590455],"category_scores_gemma":[0.000007852793,0.000098356635,0.00004932344,0.00017639813,0.00020499855,0.000026837382,0.0000019837541,0.0001685748,0.0000024260337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003498763,0.00022548031,0.00084539154,0.00017494478,0.00014979433,0.00000776683,0.00023518952,0.006060203,0.97947395,0.00087866245,0.00002575535,0.011887892],"study_design_scores_gemma":[0.020308914,0.0043615596,0.052934073,0.0013842164,0.0009967132,0.00051314844,0.003393515,0.2558598,0.5948348,0.017137667,0.04511587,0.0031597645],"about_ca_topic_score_codex":0.000009427653,"about_ca_topic_score_gemma":0.00002557843,"teacher_disagreement_score":0.3988362,"about_ca_system_score_codex":0.000034217646,"about_ca_system_score_gemma":0.000022682058,"threshold_uncertainty_score":0.40108672},"labels":[],"label_agreement":null},{"id":"W4406149150","doi":"10.37394/23208.2025.22.9","title":"An Efficient Quality Enhancement Method for Low-Dose CBCT Imaging","year":2024,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Aliasing; Image quality; Computer science; Computer vision; Filter (signal processing); Artificial intelligence; Noise (video); Speckle noise; Cone beam computed tomography; Speckle pattern; Image (mathematics); Medicine; Computed tomography; Radiology","score_opus":0.030290255346108415,"score_gpt":0.44164035915954303,"score_spread":0.4113501038134346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406149150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018036813,0.0006990945,0.9530932,0.026747374,0.00024521168,0.00066878623,0.00008249705,0.00027164162,0.00015538794],"genre_scores_gemma":[0.93501997,0.0002419289,0.061444204,0.0023544314,0.00019515042,0.0002986887,0.00016107068,0.000016659518,0.00026788368],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988421,0.00006197958,0.00029977836,0.00045427226,0.00010702692,0.00023484699],"domain_scores_gemma":[0.99917614,0.00022744724,0.000030201196,0.00027017042,0.000059834903,0.00023617907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073525705,0.00015293925,0.00026790483,0.00021121923,0.00015576267,0.000013808424,0.00006567054,0.000092524264,0.0001959092],"category_scores_gemma":[0.000018812329,0.00010431609,0.00008639975,0.0002504182,0.00028813203,0.000024083394,0.0000028184088,0.00022130922,0.0000088039205],"study_design_candidate":"bench_or_experimental","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":[0.00033786354,0.0009515207,0.0000757513,0.00047404313,0.00012961161,0.0000096565145,0.0002095347,0.000004814585,0.4477954,0.0067956434,0.0014721554,0.54174405],"study_design_scores_gemma":[0.0068312446,0.005498164,0.0029023318,0.0018752562,0.0013870096,0.00041074675,0.00076410745,0.4783475,0.15655375,0.0065183765,0.33794722,0.0009642673],"about_ca_topic_score_codex":0.000058259244,"about_ca_topic_score_gemma":0.0000019067417,"teacher_disagreement_score":0.9169832,"about_ca_system_score_codex":0.00004173709,"about_ca_system_score_gemma":0.00006384088,"threshold_uncertainty_score":0.42538866},"labels":[],"label_agreement":null},{"id":"W4412730783","doi":"10.37394/23208.2025.22.35","title":"The M.I.O.C. (Microbiota, Inflammation, Obesity, Cancer) Network","year":2025,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Inflammation; Cancer; Obesity; Medicine; Internal medicine","score_opus":0.008392073835249883,"score_gpt":0.2933755747084224,"score_spread":0.28498350087317253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412730783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5987893,0.10263837,0.032783035,0.23145054,0.01098543,0.0023420958,0.00011040894,0.00046241647,0.020438442],"genre_scores_gemma":[0.9698227,0.020982327,0.00011819243,0.0016211208,0.000456863,0.000068393354,0.000018195775,0.0000063257617,0.006905857],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992694,0.000040190796,0.00020741478,0.00019367454,0.0000527686,0.0002365371],"domain_scores_gemma":[0.9995057,0.0001432033,0.00003836994,0.00016333708,0.00008545371,0.000063929925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021619178,0.00013054087,0.0002528603,0.00010947526,0.0005925823,0.000008703891,0.000060075727,0.000112286536,0.000049473176],"category_scores_gemma":[0.000016377446,0.000072646355,0.000055299883,0.00040134438,0.0005503932,0.000019029183,0.000006233433,0.00018639948,0.000008294001],"study_design_candidate":"design_other","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":[0.001431095,0.0003062526,0.052564193,0.00021216607,0.0016984947,0.000008089112,0.00039876395,0.000016312699,0.029293064,0.016856514,0.028626109,0.8685889],"study_design_scores_gemma":[0.0021731385,0.00033751255,0.26508018,0.00026151724,0.00055347563,0.000008790193,0.00023636957,0.00003902569,0.0016124158,0.001930969,0.7276368,0.00012976088],"about_ca_topic_score_codex":0.00006597946,"about_ca_topic_score_gemma":0.0001394596,"teacher_disagreement_score":0.86845917,"about_ca_system_score_codex":0.00002116273,"about_ca_system_score_gemma":0.00007464727,"threshold_uncertainty_score":0.45577237},"labels":[],"label_agreement":null}]}