{"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":"5c56ec70b469","filters":{"venue":"Brain‐X"}},"results":[{"id":"W4395668377","doi":"10.1002/brx2.57","title":"Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry","year":2024,"lang":"en","type":"article","venue":"Brain‐X","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Transformative learning; Neuroscience; Transformer; Computer science; Cognitive science; Computational neuroscience; Cognition; Adaptability; Neurology; Architecture; Clinical neuroscience; Cognitive neuroscience; Neuroinformatics; Data science; Psychology; Engineering; Biology","authors":[{"name":"Shan Cong","is_ca":false},{"name":"Hang Wang","is_ca":false},{"name":"Yang Zhou","is_ca":false},{"name":"Zheng Wang","is_ca":false},{"name":"Xiaohui Yao","is_ca":false},{"name":"Chunsheng Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02990908117622304,"gpt":0.3222342660945913,"spread":0.2923251849183683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252287,0.001271978,0.001262413,0.001838614,0.0002508381,0.001331437,0.001333414,0.001006464,0.003963897],"category_scores_gemma":[0.002872748,0.0004380966,0.001240168,0.001870648,0.000493616,0.001546901,0.0007986885,0.001328766,0.001508359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001567,"about_ca_system_score_gemma":0.001700115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002634366,"about_ca_topic_score_gemma":0.002826222,"domain_scores_codex":[0.9997249,0.00009778167,0.00003497703,0.00004305405,0.00007989267,0.00001940474],"domain_scores_gemma":[0.9990799,0.0006735732,0.00005272211,0.00003608888,0.0001316422,0.00002596783],"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":[0.0001014968,0.00007822462,0.001135748,0.01860105,0.000671113,0.0004296102,0.0002079987,0.06217379,0.001625314,0.1351433,0.05083679,0.7289954],"study_design_scores_gemma":[0.00002954008,0.0002665823,0.001597046,0.0103824,0.0008847871,0.001589183,0.0001408948,0.09360074,0.001729504,0.1833883,0.7062294,0.0001616487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00168148,0.9320365,0.0542857,0.002953829,0.0008586669,0.00003957118,0.0003319016,0.0002373311,0.007575089],"genre_scores_gemma":[0.02717621,0.9549267,0.01333051,0.0008347891,0.000905287,0.00006688877,0.0004691633,0.00005942769,0.002230973],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003963897,"threshold_uncertainty_score":0.01326054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387269182","doi":"10.1002/brx2.33","title":"Understanding the heterogeneous immune repertoire of brain metastases for designing next‐gen therapeutics","year":2023,"lang":"en","type":"article","venue":"Brain‐X","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Immune system; Tumor microenvironment; Brain tumor; Immunotherapy; Infiltration (HVAC); Medicine; Circulating tumor cell; Neuroscience; Biology; Cancer; Pathology; Metastasis; Immunology; Internal medicine","authors":[{"name":"Zongjie Wang","is_ca":true},{"name":"Kangfu Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2390280391217149,"gpt":0.3473987038545709,"spread":0.1083706647328559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003030878,0.0003474945,0.0003677424,0.0004360639,0.0001295401,0.0005620621,0.0002283967,0.0005056459,0.001812174],"category_scores_gemma":[0.0002846021,0.0001385076,0.0002409333,0.000152195,0.0002420606,0.0006464503,0.0003165938,0.0007015046,0.0005523236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003446958,"about_ca_system_score_gemma":0.0003731067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005069671,"about_ca_topic_score_gemma":0.000829405,"domain_scores_codex":[0.999916,0.00002471267,0.00000433437,0.00001512272,0.00001899939,0.00002101473],"domain_scores_gemma":[0.9999141,0.00002870369,0.00002143596,0.000005097268,0.00001769724,0.00001298616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001099531,0.00007221176,0.002470953,0.0007702867,0.00002154487,0.0001664572,0.0000549618,0.002845743,0.9300604,0.003098237,0.00143973,0.0588895],"study_design_scores_gemma":[0.00008193833,0.001628335,0.02386792,0.0005313584,0.0001754777,0.002948276,0.0005942571,0.04358814,0.7832419,0.01778767,0.125489,0.00006573403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.508814,0.1589315,0.3053699,0.007050785,0.0005955003,0.0005583184,0.001218987,0.0005381239,0.01692281],"genre_scores_gemma":[0.8534184,0.05845013,0.0807625,0.001958221,0.0002788633,0.000443899,0.0004878285,0.00006548665,0.004134763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001812174,"threshold_uncertainty_score":0.006062269,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389286985","doi":"10.1002/brx2.50","title":"Sonogenetics as a promising approach for non‐invasive ultrasound neuromodulation of deep neural circuits","year":2023,"lang":"en","type":"article","venue":"Brain‐X","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Optogenetics; Biological neural network; Neuroscience; Striatum; Cre recombinase; Yellow fluorescent protein; Biology; Dopamine; Biophysics; Cell biology; Transgene; Genetically modified mouse; Biochemistry","authors":[{"name":"P. Liao","is_ca":true},{"name":"Xianglian Jia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01948406871200899,"gpt":0.2347248693737295,"spread":0.2152408006617205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000427534,0.0005194427,0.0004282613,0.0004047071,0.0001798266,0.0006042162,0.0005698506,0.0007790668,0.001834922],"category_scores_gemma":[0.0002301325,0.0002323771,0.0003702877,0.0002816638,0.0007139386,0.0006459767,0.0005080914,0.001239526,0.0005614951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004603335,"about_ca_system_score_gemma":0.0003011947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000343509,"about_ca_topic_score_gemma":0.0005242832,"domain_scores_codex":[0.9998042,0.00003308834,0.000009104269,0.00004327808,0.00008634431,0.0000240512],"domain_scores_gemma":[0.9998618,0.00004629497,0.00003065375,0.00001265224,0.00002464186,0.0000239357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001631626,0.00009613289,0.0003381197,0.000628887,0.00005215825,0.0003867249,0.00008480891,0.001255066,0.8771402,0.01782145,0.001884537,0.1001487],"study_design_scores_gemma":[0.0001060431,0.00171862,0.001989075,0.0001660755,0.0001177281,0.001687284,0.0001013657,0.01177625,0.8389982,0.01036524,0.132899,0.00007514119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1208677,0.2580252,0.5756351,0.005203927,0.001544221,0.0004350508,0.0003892717,0.001589122,0.0363103],"genre_scores_gemma":[0.5464377,0.1307242,0.3001375,0.003124159,0.0008487086,0.0007046561,0.0004552835,0.0002772805,0.01729045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001834922,"threshold_uncertainty_score":0.006138444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7117484082","doi":"10.1002/brx2.70043","title":"Brain‐computer interface in clinical application: How far is it from realization?","year":2025,"lang":"en","type":"article","venue":"Brain‐X","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Clinical trial; Brain–computer interface; Spinal cord injury; Beijing; Clinical research; China; Randomized controlled trial; Paraplegia","authors":[{"name":"Shugeng Chen","is_ca":false},{"name":"Jie Jia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04440022260604919,"gpt":0.3610932679263696,"spread":0.3166930453203204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05316601,0.001745392,0.00307786,0.00225288,0.00228598,0.009915899,0.004355447,0.01523126,0.01402011],"category_scores_gemma":[0.06002442,0.001037562,0.001498283,0.001822581,0.01133952,0.02157926,0.004232988,0.02106028,0.008545744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004985859,"about_ca_system_score_gemma":0.01282809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004929883,"about_ca_topic_score_gemma":0.004248045,"domain_scores_codex":[0.9845105,0.007293364,0.001642875,0.001194617,0.004578595,0.0007801052],"domain_scores_gemma":[0.9404847,0.03283399,0.001736806,0.00216248,0.01914871,0.003633336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003852104,0.000427228,0.001942475,0.005522567,0.000127462,0.0004396825,0.0006637356,0.001112456,0.0009212164,0.1005522,0.1974595,0.6904461],"study_design_scores_gemma":[0.0002291687,0.001090044,0.002608784,0.01835102,0.0001261204,0.001110683,0.001550105,0.003092253,0.0008092807,0.1407102,0.8301415,0.0001807577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.001040298,0.4488217,0.01288169,0.5150872,0.01296961,0.0001082204,0.0001543058,0.0003703116,0.008566679],"genre_scores_gemma":[0.03440924,0.6951363,0.04249379,0.1917446,0.02907824,0.0007201401,0.000538591,0.0003376159,0.005541638],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05316601,"threshold_uncertainty_score":0.2811722,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}