{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"62c35e1d57f9","filters":{"venue":"Significances of Bioengineering & Biosciences"}},"results":[{"id":"W4388180688","doi":"10.31031/sbb.2021.05.000605","title":"Role of Plant Based Hand Sanitizers During the Recent Outbreak of Coronavirus (SARS-CoV-2) Disease (Covid-19)","year":2021,"lang":"en","type":"article","venue":"Significances of Bioengineering & Biosciences","topic":"Disaster Response and Management","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Virology; Betacoronavirus; Disease; Severe acute respiratory syndrome coronavirus; Pandemic; Medicine; Infectious disease (medical specialty); Pathology","authors":[{"name":"Ravindra B. Malabadi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0791882330346127,"gpt":0.3729769483318199,"spread":0.2937887152972072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006030156,0.0001581228,0.0002970908,0.0001509268,0.0002715256,0.00001483604,0.0004517159,0.00004405147,0.00009122206],"category_scores_gemma":[0.0003762625,0.0001132184,0.00009492377,0.0005576555,0.0005177106,0.00009815626,0.0001442935,0.0001158769,0.000003266561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006464418,"about_ca_system_score_gemma":0.0007225124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004434483,"about_ca_topic_score_gemma":0.0002013873,"domain_scores_codex":[0.9981189,0.0001796734,0.0005650953,0.000308166,0.0004656684,0.0003625267],"domain_scores_gemma":[0.9986809,0.0003427197,0.0003332805,0.0003919385,0.0001175858,0.000133497],"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":[0.0003679639,0.0001435118,0.004988163,0.001419692,0.000043825,0.00001260635,0.002736114,0.001795311,0.9858884,0.001111926,0.0001743201,0.001318153],"study_design_scores_gemma":[0.001410065,0.0002282169,0.03965846,0.0009526868,0.0001183155,0.000001051338,0.03140245,0.002411857,0.8357639,0.0003192072,0.08730976,0.0004240408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939248,0.001808996,0.0008611591,0.001065752,0.0005017495,0.000537456,0.0004877809,0.00004162333,0.0007706721],"genre_scores_gemma":[0.9988395,0.0003566918,0.0002516473,0.0003341163,0.00003227394,0.0000565838,0.00001053326,0.00001059126,0.0001080614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1501245,"threshold_uncertainty_score":0.4616911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389688384","doi":"10.31031/sbb.2023.06.000642","title":"A Hybrid Neural Network for Electroencephalogram (EEG)-based Screening of Depression","year":2023,"lang":"en","type":"article","venue":"Significances of Bioengineering & Biosciences","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Laurentian University","funders":"","keywords":"Electroencephalography; Artificial neural network; Depression (economics); Computer science; Artificial intelligence; Library science; Psychology; Psychiatry","authors":[{"name":"Kalpdrum Passi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02847683342778767,"gpt":0.2729159928502969,"spread":0.2444391594225092,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004847177,0.0002035723,0.0003136917,0.0002753657,0.0001577685,0.00005671672,0.0008199458,0.00004215063,0.000005004154],"category_scores_gemma":[0.0002925001,0.0001662238,0.000153905,0.001258797,0.0004531677,0.0002197255,0.00007330722,0.0001002023,9.593215e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000103072,"about_ca_system_score_gemma":0.00005104287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002866016,"about_ca_topic_score_gemma":0.00000306661,"domain_scores_codex":[0.9979291,0.00004683584,0.0004204331,0.0005517243,0.0004262324,0.0006256982],"domain_scores_gemma":[0.9986336,0.000745362,0.000245292,0.0002262404,0.00006121037,0.00008827961],"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":[0.00003909689,0.00002498184,0.001610184,0.00009345481,0.000003992647,0.000002460797,0.00004774781,0.2123733,0.7752544,0.0001840809,0.0002847638,0.01008154],"study_design_scores_gemma":[0.0001582579,0.0003545235,0.001563789,0.0001060365,0.000005926492,0.000001806096,0.00003176649,0.3765286,0.6206877,0.0001051294,0.000323841,0.0001326469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143258,0.0003218371,0.08355071,0.0002175941,0.0008094216,0.0003890782,0.00006352641,0.0002831943,0.00003883563],"genre_scores_gemma":[0.9890206,0.00003458971,0.01070043,0.00006558998,0.00009706728,0.0000423363,0.000004773882,0.00001556294,0.00001904227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641554,"threshold_uncertainty_score":0.6778411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2891877139","doi":"10.31031/sbb.2018.01.000512","title":"The Next Nobel Prize Must Go to the Eminent Tom Spears","year":2018,"lang":"en","type":"article","venue":"Significances of Bioengineering & Biosciences","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Prejudice (legal term); Chemistry; Nanotechnology; Law; Political science; Materials science","authors":[{"name":"Sam Yosemite","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04058623818377648,"gpt":0.3141432219102416,"spread":0.2735569837264651,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001602861,0.0001718388,0.0002387725,0.0001760094,0.0004035254,0.0000974652,0.0009545015,0.00004306421,0.00005169011],"category_scores_gemma":[0.0007431082,0.00008069052,0.00008159486,0.001634071,0.002138462,0.0001318283,0.0001204497,0.0001656801,0.00006313441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004943597,"about_ca_system_score_gemma":0.0002553859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000234794,"about_ca_topic_score_gemma":0.0001252939,"domain_scores_codex":[0.9974737,0.00002561452,0.0003367542,0.0004073737,0.001114795,0.000641744],"domain_scores_gemma":[0.9985651,0.0002383601,0.00008699216,0.0005501221,0.0002406752,0.0003187757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002061374,0.000143382,0.00619919,0.0001285007,0.000056533,0.00001586214,0.004573865,0.0001668963,0.8568285,0.001397229,0.01333517,0.1169488],"study_design_scores_gemma":[0.001090389,0.004555562,0.1411934,0.0007116278,0.00009021135,0.00005832691,0.01554872,0.009356895,0.3166751,0.000078727,0.5100653,0.0005757413],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666394,0.002344622,0.001663845,0.02077796,0.002691464,0.001013088,0.00001122217,0.0001001524,0.00475824],"genre_scores_gemma":[0.9959906,0.0005237007,0.0009613142,0.0004513852,0.0007592846,0.00002925042,8.33876e-7,0.00001003669,0.001273608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5401533,"threshold_uncertainty_score":0.7879251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391980936","doi":"10.31031/sbb.2024.06.000646","title":"Prediction and Survival Analysis of Head and Neck Cancer in Patients Using Epigenomics Data and Advanced Machine Learning Methods","year":2024,"lang":"en","type":"article","venue":"Significances of Bioengineering & Biosciences","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University","funders":"","keywords":"Epigenomics; Head and neck cancer; Head and neck; Computer science; Cancer; Oncology; Machine learning; Artificial intelligence; Medicine; Internal medicine; Biology; Surgery; Genetics; DNA methylation","authors":[{"name":"Kalpdrum Passi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1532164725185959,"gpt":0.4810765349604092,"spread":0.3278600624418133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001397395,0.0001296627,0.0003856028,0.0004972231,0.0001755996,0.00001692534,0.0001756767,0.00008545553,0.00001077978],"category_scores_gemma":[0.0002975859,0.0001134238,0.00001992068,0.001251286,0.0002874295,0.0003193824,0.0001816506,0.0002576008,8.686916e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000060413,"about_ca_system_score_gemma":0.0001301783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006362836,"about_ca_topic_score_gemma":0.003004077,"domain_scores_codex":[0.9982698,0.0001938697,0.0006089362,0.0004684301,0.0001862603,0.0002726874],"domain_scores_gemma":[0.9989121,0.0005747227,0.0001719841,0.0001792354,0.00007981891,0.00008213764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000269283,0.0000106176,0.9245709,0.0005417552,0.00004930893,2.965356e-7,0.002121843,0.01125231,0.009884983,0.00008792114,3.261482e-7,0.05145285],"study_design_scores_gemma":[0.00006591211,0.000109581,0.2658946,0.0004181873,0.00008602527,6.283945e-8,0.002046865,0.730423,0.0007082445,0.0000344837,0.0001187935,0.00009427854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854974,0.009596462,0.00342559,0.00008459033,0.0006582409,0.0002799098,0.0004155252,0.00003149758,0.0000108084],"genre_scores_gemma":[0.9888325,0.003616069,0.007474138,0.000005552513,0.00002976918,0.000009279461,0.00001686397,0.0000101718,0.000005678137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7191707,"threshold_uncertainty_score":0.9618747,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}