{"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":"0b726ea42f95","filters":{"venue":"Frontiers in biomedical technologies"}},"results":[{"id":"W3019639515","doi":"10.18502/fbt.v7i1.2727","title":"Introducing a Robotic Lumbar Puncture Simulator with Force Feedback: LP Simd","year":2020,"lang":"en","type":"article","venue":"Frontiers in biomedical technologies","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Rehabilitation Institute","funders":"","keywords":"Lumbar; Haptic technology; Virtual reality; Computer science; Simulation; Lumbar puncture; Artificial intelligence; Surgery; Medicine; Cerebrospinal fluid","authors":[{"name":"Alireza Mirbagheri","is_ca":false},{"name":"Mohammadhasan Owlia","is_ca":true},{"name":"Mostafa Khabbazan","is_ca":false},{"name":"Mehdi Moradi","is_ca":false},{"name":"Fatemeh Mohandesi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005147872479737465,"gpt":0.1880238295341106,"spread":0.1828759570543732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003530268,0.0005384753,0.000259645,0.000340429,0.0001110965,0.0003125023,0.0007455727,0.0006581189,0.002989101],"category_scores_gemma":[0.0009959614,0.0001917698,0.0005044405,0.0001111597,0.0002786828,0.0002959746,0.0007890587,0.0003727763,0.0006092594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138008,"about_ca_system_score_gemma":0.0004471586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005752095,"about_ca_topic_score_gemma":0.0005406049,"domain_scores_codex":[0.9997544,0.00005219794,0.00002023232,0.00003939566,0.0001023472,0.00003138377],"domain_scores_gemma":[0.9996756,0.00009757435,0.00004402494,0.00004638329,0.00006594722,0.00007059164],"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":[0.001271423,0.001221845,0.01416694,0.002036423,0.0001748143,0.003847162,0.001392714,0.05120554,0.5989887,0.002220673,0.006437914,0.3170359],"study_design_scores_gemma":[0.000883738,0.01776818,0.04511467,0.0005980401,0.0005148718,0.02955534,0.0008780159,0.3917201,0.3641788,0.002283665,0.1459133,0.000591378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4451882,0.001045953,0.5377088,0.0006828028,0.0004113369,0.000611793,0.0008358195,0.004865318,0.00865001],"genre_scores_gemma":[0.7551677,0.0006739522,0.2365828,0.0003179841,0.00008127496,0.0004307428,0.0005137255,0.0001455754,0.00608614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002989101,"threshold_uncertainty_score":0.009999573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128474796","doi":"10.18502/fbt.v7i4.5317","title":"The Role of Low Energy Electrons in Radiobiology and Cancer Treatment","year":2021,"lang":"en","type":"article","venue":"Frontiers in biomedical technologies","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Radiobiology; Electron; Radiation; Cancer; Energy (signal processing); Cancer treatment; Atomic physics; Chemistry; Physics; Cancer research; Biophysics; Medicine; Biology; Irradiation; Nuclear physics; Genetics","authors":[{"name":"Sasan Esmaili","is_ca":true},{"name":"Farzaneh Allaveisi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004153727987137971,"gpt":0.2426030210441377,"spread":0.2384492930569997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009417842,0.0002641787,0.0005030312,0.0006181864,0.0004453059,0.001674223,0.0005317111,0.001009209,0.003340542],"category_scores_gemma":[0.0009213388,0.000164846,0.000237397,0.0004765552,0.001471149,0.001178702,0.001086729,0.00152493,0.0009576966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000842489,"about_ca_system_score_gemma":0.0007343181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004564673,"about_ca_topic_score_gemma":0.0003863584,"domain_scores_codex":[0.9996013,0.0001529956,0.00001612925,0.00005499125,0.0001341468,0.00004046302],"domain_scores_gemma":[0.9994214,0.0003038318,0.0000741129,0.00003699767,0.000101383,0.00006235678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007400257,0.0002965266,0.005608509,0.003740385,0.0001141714,0.0008755879,0.0007963559,0.004237031,0.08847015,0.2371356,0.01589753,0.6420881],"study_design_scores_gemma":[0.00005158581,0.001208856,0.007060566,0.00169748,0.00008625447,0.003595412,0.0007980731,0.001726543,0.04924905,0.1423975,0.792042,0.00008689715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02184954,0.911501,0.02215027,0.01287914,0.001532437,0.00003584307,0.00007075653,0.00009124105,0.02988972],"genre_scores_gemma":[0.4230971,0.5345742,0.01202067,0.004434781,0.002214529,0.00008491291,0.0001034283,0.0000929956,0.02337748],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003340542,"threshold_uncertainty_score":0.01117522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408837865","doi":"10.18502/fbt.v12i2.18283","title":"Implementation of the Wobbling Technique with Spatial Resolution Enhancement Approach in the Xtrim-PET Preclinical Scanner: Monte Carlo Simulation and Performance Evaluation","year":2025,"lang":"en","type":"article","venue":"Frontiers in biomedical technologies","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Monte Carlo method; Scanner; Resolution (logic); Image resolution; Medical physics; Computer science; Nuclear medicine; Artificial intelligence; Physics; Medicine; Mathematics; Statistics","authors":[{"name":"Bahador Bahadorzadeh","is_ca":false},{"name":"Reza Faghihi","is_ca":false},{"name":"Sedigheh Sina","is_ca":false},{"name":"Arman Rahmim","is_ca":true},{"name":"Mohammad Reza Ay","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03218671271555636,"gpt":0.3723442469441032,"spread":0.3401575342285469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007905512,0.0004108895,0.0002837949,0.000206223,0.0001350374,0.0003338098,0.0006342394,0.0004792682,0.0008220064],"category_scores_gemma":[0.001286624,0.000205417,0.0002147139,0.0001903086,0.000234888,0.0002692239,0.0002443064,0.0002688343,0.0001481063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000462507,"about_ca_system_score_gemma":0.000582722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996338,"about_ca_topic_score_gemma":0.002311524,"domain_scores_codex":[0.9998287,0.00005324552,0.000008438004,0.00001962056,0.00007043761,0.00001948863],"domain_scores_gemma":[0.999491,0.0002726439,0.00007372581,0.00005699507,0.00008583147,0.00001987481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003614158,0.0001603571,0.004112201,0.000254738,0.00005104122,0.0002932719,0.000113474,0.8961194,0.0546346,0.002239162,0.0002856783,0.04137463],"study_design_scores_gemma":[0.00001541782,0.0001934137,0.0005060268,0.000008417666,0.00001449402,0.00008932586,0.000008320962,0.976698,0.02178754,0.0001284352,0.0005401073,0.00001060535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5692949,0.0009617465,0.4234748,0.0001870755,0.00002916171,0.0002276118,0.0001447875,0.001207212,0.004472684],"genre_scores_gemma":[0.8571779,0.0002835132,0.1414785,0.00003470499,0.000003415207,0.00007993387,0.00007420986,0.00007403272,0.0007937391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001996338,"threshold_uncertainty_score":0.004180908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412500100","doi":"10.18502/fbt.v12i3.19190","title":"Prognosis of COVID-19 Using Artificial Intelligence: A Systematic Review and Meta-Analysis","year":2025,"lang":"en","type":"review","venue":"Frontiers in biomedical technologies","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Meta-analysis; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Systematic review; Artificial intelligence; Computer science; MEDLINE; Medicine; Virology; Political science; Internal medicine","authors":[{"name":"Saeed Reza Motamedian","is_ca":false},{"name":"Negin Cheraghi","is_ca":false},{"name":"Sadra Mohaghegh","is_ca":false},{"name":"Elham Babadi Oregani","is_ca":false},{"name":"M. Amjadi","is_ca":false},{"name":"Parnian Shobeiri","is_ca":false},{"name":"Niusha Solouki","is_ca":false},{"name":"Nikoo Ahmadi","is_ca":false},{"name":"Yassine Bouchareb","is_ca":false},{"name":"Arman Rahmim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1790034741359707,"gpt":0.4405809679047318,"spread":0.261577493768761,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01285412,0.00209209,0.01289062,0.009152037,0.0006181835,0.003115484,0.001897826,0.00171326,0.002829252],"category_scores_gemma":[0.0377047,0.0009666967,0.02152576,0.01054167,0.0006777414,0.001594907,0.001198095,0.001338239,0.0002279544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002457079,"about_ca_system_score_gemma":0.004519425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004990853,"about_ca_topic_score_gemma":0.01011523,"domain_scores_codex":[0.9906631,0.003478323,0.003238904,0.0008758676,0.001451661,0.0002921951],"domain_scores_gemma":[0.9681898,0.02433456,0.004656996,0.0006918359,0.001888269,0.0002385844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0009666689,0.00003749487,0.009524235,0.7189826,0.2436067,0.0001356587,0.0001074006,0.0005313347,0.0001539941,0.0001731235,0.0009121008,0.02486879],"study_design_scores_gemma":[0.0004259858,0.0003300126,0.01057556,0.1431451,0.8405901,0.0002372005,0.0001025354,0.0004789806,0.0001896815,0.0003218922,0.003554205,0.00004879281],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003000464,0.9954388,0.0004092692,0.0002067575,0.00008160773,0.0002612222,0.0004056423,0.00001495862,0.0001814502],"genre_scores_gemma":[0.1059132,0.8885462,0.002259535,0.0007972152,0.0002847265,0.001159849,0.000840938,0.0000172481,0.0001810447],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01289062,"threshold_uncertainty_score":0.06797987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}