{"meta":{"query_hash":"8d2211dcb3b9","filters":{"venue":"Frontiers in Network Physiology"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/8d2211dcb3b9","api":"https://metacan.xera.ac/api/v1/cohort?venue=Frontiers+in+Network+Physiology"},"results":[{"id":"W3177318699","doi":"10.3389/fnetp.2021.712430","title":"Network Physiology in Aging and Frailty: The Grand Challenge of Physiological Reserve in Older Adults","year":2021,"lang":"en","type":"editorial","venue":"Frontiers in Network Physiology","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"European Regional Development Fund; Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Science Foundation Ireland; ZonMw; W. M. Keck Foundation","keywords":"Gerontology; Specialty; Medicine; Psychiatry","score_opus":0.013316345789603046,"score_gpt":0.25702331739839357,"score_spread":0.2437069716087905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177318699","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004582542,0.025519352,0.000425444,0.053285927,0.9200804,0.000012071082,0.000029611732,0.000043839456,0.00055746856],"genre_scores_gemma":[0.0002962683,0.014251282,0.00012732658,0.013025714,0.97034454,0.000011541045,0.000011753798,0.000017483004,0.0019142024],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976342,0.0005330458,0.00032040005,0.0003545873,0.0010189704,0.00013886407],"domain_scores_gemma":[0.9770568,0.014744718,0.0007582876,0.00047941,0.0048350887,0.0021257708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00712938,0.002934211,0.003573282,0.0019341247,0.0021085176,0.005584671,0.002850304,0.012496017,0.005218418],"category_scores_gemma":[0.019881852,0.00080681784,0.0018180902,0.0009409012,0.003318418,0.0055952235,0.0020901125,0.029375982,0.0039200224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044521712,0.000016053331,0.000054508266,0.0005901792,0.000029130435,0.0001754431,0.000064259824,0.000060235972,0.000097445525,0.0017615715,0.9812594,0.015847215],"study_design_scores_gemma":[0.000056846828,0.00007063289,0.00044011712,0.0013637326,0.0000763607,0.00068742206,0.0001458416,0.00036278667,0.00012236573,0.007472646,0.9891599,0.00004138058],"about_ca_topic_score_codex":0.001414702,"about_ca_topic_score_gemma":0.0038438104,"teacher_disagreement_score":0.012496017,"about_ca_system_score_codex":0.0020505532,"about_ca_system_score_gemma":0.0028922188,"threshold_uncertainty_score":0.03770423},"labels":[],"label_agreement":null},{"id":"W3203569350","doi":"10.3389/fnetp.2021.736232","title":"Dual-Task Training Program for Older Adults: Blending Gait, Visuomotor and Cognitive Training","year":2021,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Manitoba","funders":"","keywords":"Physical medicine and rehabilitation; Cognition; Gait; Psychology; Randomized controlled trial; Task (project management); Rehabilitation; Cognitive training; Balance (ability); Physical therapy; Executive functions; Medicine","score_opus":0.024244027570375543,"score_gpt":0.3415433285554839,"score_spread":0.3172993009851084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203569350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99278426,0.0012103361,0.0006650941,0.00021265185,0.00008657713,0.003696361,0.00018904163,0.000032657186,0.0011230129],"genre_scores_gemma":[0.97454435,0.0015035641,0.00917958,0.0005533323,0.00012915254,0.012354825,0.0003355918,0.000004421596,0.0013951722],"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.9994905,0.00018098898,0.00008447084,0.000078823614,0.00008436161,0.000080806065],"domain_scores_gemma":[0.9996774,0.000067375455,0.000051183615,0.000014156495,0.00003028061,0.0001596543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010143762,0.00058493944,0.00068575726,0.000621585,0.0006679291,0.00037084307,0.00055418746,0.00086759526,0.002380444],"category_scores_gemma":[0.0012392151,0.000284547,0.00074145925,0.0002706956,0.00020338451,0.00032840233,0.0009858772,0.00060516776,0.00027269433],"study_design_candidate":"nonrandomized_trial","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":[0.1138042,0.22157957,0.0332829,0.014097396,0.0018797129,0.00060005195,0.0028375173,0.001060332,0.017218718,0.0004313106,0.0021924009,0.59101593],"study_design_scores_gemma":[0.16778694,0.558643,0.2472074,0.0024988465,0.002119975,0.0008552813,0.0016589923,0.0025172697,0.0046609105,0.0005254116,0.011450016,0.00007587326],"about_ca_topic_score_codex":0.0013141994,"about_ca_topic_score_gemma":0.0034559334,"teacher_disagreement_score":0.002380444,"about_ca_system_score_codex":0.00038587724,"about_ca_system_score_gemma":0.0009031826,"threshold_uncertainty_score":0.007963359},"labels":[],"label_agreement":null},{"id":"W3213673281","doi":"10.3389/fnetp.2021.754477","title":"Comparison of Gait Speed Reserve, Usual Gait Speed, and Maximum Gait Speed of Adults Aged 50+ in Ireland Using Explainable Machine Learning","year":2021,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science Foundation Ireland; An Roinn Sláinte","keywords":"Fear of falling; Physical medicine and rehabilitation; Gait; Cognition; Poison control; Stepwise regression; Psychology; Injury prevention; Machine learning; Computer science; Medicine","score_opus":0.02641807079030905,"score_gpt":0.29206555719611405,"score_spread":0.265647486405805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213673281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956447,0.000108540175,0.0011035872,0.0001385084,0.000010080127,0.000023138467,0.0022708054,0.000045247867,0.0006553817],"genre_scores_gemma":[0.994839,0.000051360257,0.00065606914,0.000027545568,0.0000072772127,0.00003203974,0.004089708,0.00001835424,0.0002786834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990539,0.00030342018,0.00010144633,0.00029448513,0.000114479386,0.0001322417],"domain_scores_gemma":[0.99763453,0.0010518188,0.00041942293,0.00038694803,0.0003102018,0.0001970475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00304177,0.00059290463,0.00058992277,0.0011503,0.00025978315,0.0009456574,0.0010645011,0.00063164905,0.0019013344],"category_scores_gemma":[0.009651265,0.00038289223,0.0015893277,0.0008932894,0.00044186745,0.0008388099,0.0012741832,0.00083507673,0.0009468785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006214147,0.00010526301,0.9822641,0.000053634034,0.0002542922,0.000074835094,0.0003903792,0.0034127503,0.00018471731,0.00015644525,0.001157083,0.0113249915],"study_design_scores_gemma":[0.000035874928,0.00024714612,0.96856225,0.000045436824,0.000115039555,0.00008999949,0.0006409229,0.028973449,0.00013817771,0.00036171527,0.0007591814,0.00003086613],"about_ca_topic_score_codex":0.051712,"about_ca_topic_score_gemma":0.049360085,"teacher_disagreement_score":0.051712,"about_ca_system_score_codex":0.0009371548,"about_ca_system_score_gemma":0.0007363437,"threshold_uncertainty_score":0.102822006},"labels":[],"label_agreement":null},{"id":"W4212804588","doi":"10.3389/fnetp.2022.837860","title":"Dynamic Temporal Relationship Between Autonomic Function and Cerebrovascular Reactivity in Moderate/Severe Traumatic Brain Injury","year":2022,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; National Institutes of Health; University of Manitoba; Research Manitoba; National Institute of Neurological Disorders and Stroke; Health Sciences Centre Foundation","keywords":"Cerebral autoregulation; Baroreflex; Heart rate variability; Traumatic brain injury; Cardiology; Heart rate; Autonomic nervous system; Blood pressure; Internal medicine; Autonomic function; Medicine; Psychology; Autoregulation","score_opus":0.017233337514744658,"score_gpt":0.2508188384731071,"score_spread":0.23358550095836245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212804588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718094,0.0008055893,0.0006942982,0.00007504637,0.000014843184,0.000013794474,0.00021424112,0.00000995843,0.0009912472],"genre_scores_gemma":[0.9986986,0.0003676128,0.0003428771,0.000037143833,0.0000342187,0.000022225566,0.00024222508,0.0000037809175,0.00025130727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974304,0.00006795699,0.000023281087,0.00006912591,0.000049127448,0.00004750887],"domain_scores_gemma":[0.9992157,0.00024384259,0.0002975736,0.00005915483,0.00010044225,0.000083322455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068227266,0.0001574804,0.00020951442,0.00042569524,0.00017266555,0.00048610155,0.0001632029,0.00024283455,0.0010548824],"category_scores_gemma":[0.002727914,0.00009363413,0.00021280171,0.00046026486,0.00019562712,0.00027942317,0.00039096223,0.00054709875,0.00019767862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011825961,0.00024826673,0.9383794,0.0001789314,0.00026389526,0.00038296147,0.001074834,0.0010159272,0.006285631,0.00039200595,0.00058434514,0.050011255],"study_design_scores_gemma":[0.0000017274386,0.00011975823,0.99869674,0.000011553478,0.000022334312,0.00011658321,0.00015143755,0.00037681052,0.00012136513,0.00015929564,0.00021701946,0.0000053811523],"about_ca_topic_score_codex":0.0019415019,"about_ca_topic_score_gemma":0.0026913953,"teacher_disagreement_score":0.0019415019,"about_ca_system_score_codex":0.00017521616,"about_ca_system_score_gemma":0.0002883413,"threshold_uncertainty_score":0.003860414},"labels":[],"label_agreement":null},{"id":"W4224280622","doi":"10.3389/fnetp.2022.849253","title":"Pathogenic Mechanisms Underlying Cirrhotic Cardiomyopathy","year":2022,"lang":"en","type":"review","venue":"Frontiers in Network Physiology","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":34,"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 Calgary","funders":"","keywords":"Medicine; Cirrhosis; Internal medicine; Endocrinology; Pathogenesis; Cardiomyopathy; Heart failure","score_opus":0.05227801707715957,"score_gpt":0.303103830039771,"score_spread":0.2508258129626114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224280622","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06144951,0.9174923,0.0024996754,0.0032780634,0.0006826336,0.000056821336,0.00025345624,0.00013646964,0.01415104],"genre_scores_gemma":[0.47587535,0.5141118,0.0014488904,0.0015211911,0.0019717552,0.000067386536,0.00050867343,0.000018926014,0.0044759996],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999858,0.000038467417,0.000014653523,0.000022380593,0.000028242037,0.000038188486],"domain_scores_gemma":[0.9998615,0.000031958032,0.00005050329,0.000005489622,0.00002518218,0.000025323645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019296775,0.00035508248,0.0005120443,0.00057656836,0.00026922568,0.00061716215,0.00023476509,0.0006119253,0.002998477],"category_scores_gemma":[0.00029022532,0.00009639685,0.00029677,0.00034902676,0.00037529386,0.00031807838,0.00049223844,0.00065465795,0.00049928465],"study_design_candidate":"not_applicable","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":[0.0015963988,0.00025647288,0.04471215,0.021410523,0.0007776902,0.061477333,0.0015790676,0.0021868013,0.19798453,0.043740302,0.034240767,0.59003794],"study_design_scores_gemma":[0.00031075548,0.0012802726,0.15474214,0.005953304,0.00097147725,0.13384965,0.001941233,0.0024949159,0.03876806,0.047008436,0.6124884,0.00019128261],"about_ca_topic_score_codex":0.0003287679,"about_ca_topic_score_gemma":0.0003470638,"teacher_disagreement_score":0.002998477,"about_ca_system_score_codex":0.00038054786,"about_ca_system_score_gemma":0.00037238837,"threshold_uncertainty_score":0.010030866},"labels":[],"label_agreement":null},{"id":"W4224867180","doi":"10.3389/fnetp.2022.866540","title":"A Peri-Ictal EEG-Based Biomarker for Sudden Unexpected Death in Epilepsy (SUDEP) Derived From Brain Network Analysis","year":2022,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Western Hospital; McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Brain Institute","keywords":"Ictal; Epilepsy; Electroencephalography; Peri; Medicine; Neuroscience; Biomarker; Psychology; Internal medicine; Biology","score_opus":0.023608504488969256,"score_gpt":0.2544734288402076,"score_spread":0.23086492435123837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224867180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98895735,0.00026971853,0.008692036,0.00007571029,0.000008022598,0.000025191639,0.00068085996,0.000031959917,0.0012592727],"genre_scores_gemma":[0.99760926,0.00012117194,0.0017070676,0.000007995106,0.000006506264,0.000015245289,0.000421376,0.0000032104624,0.00010818013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990463,0.000032325104,0.000010025623,0.00002315893,0.000016206515,0.000013681176],"domain_scores_gemma":[0.9994474,0.000249519,0.00016645028,0.00003415971,0.000061980194,0.000040453087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025833552,0.00021125698,0.00013915199,0.0010415114,0.00013388837,0.0003016013,0.00013260929,0.00013653719,0.00088716316],"category_scores_gemma":[0.0019061184,0.000052695374,0.00014225337,0.0007511084,0.00017476983,0.00036221746,0.00026761752,0.00014249163,0.00009445226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084557495,0.00012464443,0.8041153,0.0003902817,0.0006490691,0.0007784017,0.00062568585,0.011533417,0.07050107,0.002834278,0.0011609583,0.106441334],"study_design_scores_gemma":[0.000012403927,0.0002181857,0.9695859,0.000021927008,0.00011197837,0.0011025682,0.0003088533,0.0205033,0.004192907,0.0031969415,0.0007271636,0.000017959115],"about_ca_topic_score_codex":0.0007197734,"about_ca_topic_score_gemma":0.0018834645,"teacher_disagreement_score":0.0010415114,"about_ca_system_score_codex":0.00015716838,"about_ca_system_score_gemma":0.00010256397,"threshold_uncertainty_score":0.0029678345},"labels":[],"label_agreement":null},{"id":"W4308424874","doi":"10.3389/fnetp.2022.974373","title":"On the scaling properties of oscillatory modes with balanced energy","year":2022,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","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":"McMaster University","funders":"","keywords":"Scaling; Dissipative system; Aperiodic graph; Amplitude; Dissipation; Statistical physics; Constraint (computer-aided design); Action (physics); Energy (signal processing); Physics; Function (biology); Mathematics; Quantum mechanics","score_opus":0.014657964684159147,"score_gpt":0.18004780432869757,"score_spread":0.16538983964453843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308424874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6497552,0.0017643933,0.31437504,0.00089492474,0.00014708698,0.00006955946,0.00018579957,0.00022121282,0.032586683],"genre_scores_gemma":[0.9881263,0.00046769055,0.009798551,0.00005483316,0.00008774891,0.000041462852,0.000057219448,0.000054832108,0.0013113967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998272,0.000053419335,0.0000093997405,0.00004755616,0.000038445,0.000023941535],"domain_scores_gemma":[0.9984921,0.0008350342,0.00025043453,0.0001682159,0.00015270656,0.00010149957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070906745,0.000433098,0.0003494656,0.00085972843,0.00041122158,0.0009890627,0.00039652153,0.00041569307,0.002253322],"category_scores_gemma":[0.004851078,0.00024384656,0.00037855777,0.00040809138,0.0014255634,0.0013112437,0.0006413583,0.0005856036,0.0002637855],"study_design_candidate":"simulation_or_modeling","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":[0.00013771454,0.00006419505,0.0036000733,0.0001942455,0.000057888905,0.00061494944,0.0008576482,0.12024489,0.05460608,0.7910508,0.0017069894,0.026864547],"study_design_scores_gemma":[0.000016374877,0.000062618325,0.004129719,0.00003917142,0.0000152385865,0.00025836698,0.00010106523,0.6017239,0.002524473,0.38946888,0.0016080904,0.000052014202],"about_ca_topic_score_codex":0.0004964631,"about_ca_topic_score_gemma":0.00031603864,"teacher_disagreement_score":0.002253322,"about_ca_system_score_codex":0.00037167428,"about_ca_system_score_gemma":0.00014220686,"threshold_uncertainty_score":0.00753814},"labels":[],"label_agreement":null},{"id":"W4386241230","doi":"10.3389/fnetp.2023.1208303","title":"Reduced tubuloglomerular feedback activity and absence of its synchronization in a connexin40 knockout rat","year":2023,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Thermoregulation and physiological responses","field":"Medicine","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":"Canadian Society of Nephrology; University of Alberta; Simon Fraser University","funders":"","keywords":"Tubuloglomerular feedback; Internal medicine; Endocrinology; Chemistry; Transforming growth factor; Biology; Kidney; Medicine","score_opus":0.017011679950346154,"score_gpt":0.27278735887290695,"score_spread":0.2557756789225608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386241230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973085,0.00016954061,0.0017575959,0.00005231208,0.000020073408,0.000008804383,0.0003335126,0.00009279195,0.0002567997],"genre_scores_gemma":[0.99147403,0.00044335428,0.00284449,0.00004494919,0.000017577477,0.00007260311,0.0006199626,0.00013583645,0.004347173],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996644,0.00002277598,0.000044926666,0.00013224594,0.00007789506,0.000057679008],"domain_scores_gemma":[0.9989869,0.00007738197,0.00045280007,0.00008983985,0.00006411026,0.0003290106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022394185,0.00072840677,0.0006008046,0.001464654,0.00030876845,0.00033014675,0.00035335755,0.00056227,0.003891398],"category_scores_gemma":[0.00034824054,0.00045057107,0.00042927824,0.00030657902,0.0006879315,0.00038925803,0.00035798928,0.00084038434,0.00054414425],"study_design_candidate":"observational","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":[0.00027466164,0.000073423354,0.0006834375,0.00003050341,0.000011779441,0.00021556402,0.000046245037,0.000052253632,0.99742424,0.00011705011,0.00003519808,0.0010356954],"study_design_scores_gemma":[0.00012851963,0.0015788146,0.06162094,0.000034255514,0.00019895963,0.002958006,0.00022407189,0.0020268806,0.92879975,0.00028536777,0.0020968083,0.00004763546],"about_ca_topic_score_codex":0.0009879284,"about_ca_topic_score_gemma":0.0010319267,"teacher_disagreement_score":0.003891398,"about_ca_system_score_codex":0.00032276558,"about_ca_system_score_gemma":0.00028601298,"threshold_uncertainty_score":0.013018072},"labels":[],"label_agreement":null},{"id":"W4392859180","doi":"10.3389/fnetp.2024.1199198","title":"Modulation of expression of Connexins 37, 40 and 43 in endothelial cells in culture","year":2024,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Connexins and lens biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Nephrology; Simon Fraser University; University of Alberta","funders":"","keywords":"Gap junction; Connexin; Cell biology; Transcellular; Endothelial stem cell; Endothelium; Chemistry; Biology; Intracellular; Endocrinology; Biochemistry; In vitro","score_opus":0.0046463111346186844,"score_gpt":0.21707433811985172,"score_spread":0.21242802698523303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392859180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819376,0.0059438613,0.010337248,0.00019651656,0.00015435621,0.00012284142,0.0010424795,0.000075896656,0.003933031],"genre_scores_gemma":[0.9755927,0.004687502,0.010330621,0.00018405454,0.00009061638,0.00024317522,0.0022394096,0.000031948675,0.0066000307],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991252,0.00021488804,0.00012665174,0.00018248429,0.00020539343,0.000145485],"domain_scores_gemma":[0.9997205,0.00006932167,0.000047616475,0.00007186322,0.000058047895,0.00003257419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006199743,0.00027120605,0.00065574225,0.00020172953,0.000303688,0.00045683928,0.0003320517,0.00035346925,0.0012957156],"category_scores_gemma":[0.00024946433,0.00018902837,0.0003492421,0.00042111237,0.00024248655,0.00025383045,0.00035125422,0.00090567773,0.0006278489],"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":[0.00008634445,0.000037968864,0.000116003146,0.000032135864,0.0000045787556,0.000056453253,0.00006485943,0.000090316644,0.99870706,0.000053576863,0.00006762798,0.0006831949],"study_design_scores_gemma":[0.000027192866,0.00069075817,0.0051568607,0.000017082257,0.000044407665,0.00020407687,0.00006636605,0.0016016358,0.9876583,0.000050550636,0.0044717975,0.000010992801],"about_ca_topic_score_codex":0.0013767803,"about_ca_topic_score_gemma":0.00200825,"teacher_disagreement_score":0.0013767803,"about_ca_system_score_codex":0.00035691008,"about_ca_system_score_gemma":0.00020718695,"threshold_uncertainty_score":0.0043346286},"labels":[],"label_agreement":null},{"id":"W4393197215","doi":"10.3389/fnetp.2024.1299162","title":"Application of early warning signs to physiological contexts: a comparison of multivariate indices in patients on long-term hemodialysis","year":2024,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"Canadian Institutes of Health Research; Fonds de Recherche du Québec-Société et Culture","keywords":"Variance (accounting); Receiver operating characteristic; Warning system; Statistics; Multivariate statistics; Metric (unit); Autocorrelation; Pairwise comparison; Predictive power; Econometrics; Medicine; Mathematics; Computer science; Physics; Economics","score_opus":0.00723612087456568,"score_gpt":0.2560269072436373,"score_spread":0.24879078636907162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393197215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99514294,0.0005763082,0.0032598854,0.00008729364,0.0000370249,0.00002252559,0.0002652206,0.000041105268,0.0005677695],"genre_scores_gemma":[0.99841094,0.0001360266,0.0010521091,0.000017104774,0.000034612647,0.000013254818,0.0002683515,0.000006928731,0.000060665745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987496,0.0005745225,0.00017337606,0.00019273168,0.00021483513,0.00009493142],"domain_scores_gemma":[0.99378645,0.0036203393,0.0010857099,0.00039064293,0.0007080436,0.0004086696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003626986,0.0007607721,0.0008125896,0.001504253,0.00018882698,0.0011187983,0.00032230373,0.000480145,0.0004888666],"category_scores_gemma":[0.012300132,0.000122006364,0.0008433681,0.0010393715,0.00034704362,0.0008097459,0.0008365609,0.0007989941,0.00012498388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019526479,0.00010635379,0.9601772,0.000093199254,0.00048657434,0.00009045405,0.00021257302,0.0032338349,0.0010594198,0.0001491078,0.0003054901,0.032133214],"study_design_scores_gemma":[0.00004568219,0.001281971,0.9654151,0.000043225544,0.0003838081,0.0003022634,0.0004743569,0.029338798,0.0013132804,0.000525485,0.00082797,0.00004802937],"about_ca_topic_score_codex":0.00104055,"about_ca_topic_score_gemma":0.0008604591,"teacher_disagreement_score":0.003626986,"about_ca_system_score_codex":0.00025675443,"about_ca_system_score_gemma":0.0003687763,"threshold_uncertainty_score":0.01918155},"labels":[],"label_agreement":null},{"id":"W4394570996","doi":"10.3389/fnetp.2024.1356653","title":"Model-based closed-loop control of thalamic deep brain stimulation","year":2024,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; Toronto Rehabilitation Institute; University of Toronto; University Health Network","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; Azrieli Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Deep brain stimulation; Computer science; Essential tremor; Movement disorders; Parkinson's disease; Neurophysiology; Controller (irrigation); Subthalamic nucleus; Neuroscience; Artificial intelligence; Physical medicine and rehabilitation; Psychology; Medicine; Disease","score_opus":0.010886715617180326,"score_gpt":0.2564620233052496,"score_spread":0.24557530768806926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394570996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03551046,0.00044104538,0.9533949,0.00036951774,0.00008708285,0.000074334974,0.00010613979,0.00057875883,0.0094377715],"genre_scores_gemma":[0.98265046,0.0001406402,0.014433324,0.000053262975,0.000018941793,0.000106322805,0.000060049195,0.000028835224,0.0025081572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997179,0.00006024261,0.000011879048,0.0000686494,0.000092337345,0.000048913975],"domain_scores_gemma":[0.9994438,0.0003098148,0.00008479353,0.000024958536,0.00011018021,0.000026306017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420351,0.00070723484,0.00069552404,0.00024683037,0.00035700822,0.00094184803,0.00095694105,0.0008637638,0.0028550662],"category_scores_gemma":[0.0014856842,0.0002793249,0.0006106482,0.00018521126,0.0008489071,0.00043328045,0.0008864593,0.0009002674,0.00026172528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024023773,0.000009730626,0.00012592023,0.00003269271,0.0000088102415,0.00002702609,0.000023326047,0.9918995,0.0011050357,0.0028829684,0.00014657895,0.0037144471],"study_design_scores_gemma":[0.0000039235274,0.00001279523,0.00003090901,0.0000019898455,0.000002287958,0.0000038029514,0.0000015080168,0.99917966,0.00012878384,0.00052691967,0.00010566742,0.0000016559702],"about_ca_topic_score_codex":0.009688646,"about_ca_topic_score_gemma":0.006405369,"teacher_disagreement_score":0.009688646,"about_ca_system_score_codex":0.00084841746,"about_ca_system_score_gemma":0.00095541,"threshold_uncertainty_score":0.01926452},"labels":[],"label_agreement":null},{"id":"W4405218141","doi":"10.3389/fnetp.2024.1483401","title":"Emerging cancer therapies: targeting physiological networks and cellular bioelectrical differences with non-thermal systemic electromagnetic fields in the human body – a comprehensive review","year":2024,"lang":"en","type":"review","venue":"Frontiers in Network Physiology","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"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 Alberta","funders":"","keywords":"Cancer cell; Cancer; Context (archaeology); Neuroscience; Cell; Medicine; Cancer research; Bioinformatics; Biology; Internal medicine","score_opus":0.01299349531248706,"score_gpt":0.27375672011717095,"score_spread":0.2607632248046839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405218141","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015541149,0.99786973,0.0002518373,0.00026398443,0.00023217495,0.0000069672183,0.000022597158,0.000009947564,0.0011872572],"genre_scores_gemma":[0.00085595256,0.9981243,0.00018924095,0.00015941857,0.00014533786,0.000008695143,0.00003093696,0.0000018007366,0.00048433],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998797,0.00002186529,0.00001565367,0.000023121675,0.000045478875,0.000014190899],"domain_scores_gemma":[0.9997485,0.00015500051,0.000027321643,0.000006612046,0.00004720126,0.000015415822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003993851,0.0007343822,0.0010144791,0.0016230552,0.00019030333,0.0008741353,0.00058276503,0.00088634354,0.0035538175],"category_scores_gemma":[0.00052202353,0.00021493345,0.00048706352,0.0012468648,0.00031513904,0.0009513067,0.00046058703,0.0012781273,0.0013619129],"study_design_candidate":"not_applicable","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":[0.000059290047,0.000066827095,0.00012088321,0.025928909,0.000108230735,0.00014719617,0.000067952664,0.0006900449,0.0038554422,0.0062385746,0.026520155,0.9361965],"study_design_scores_gemma":[0.000013542334,0.00012896548,0.0005680042,0.0036626796,0.00012493851,0.0008701136,0.000054172488,0.00016861338,0.00085283956,0.0025842576,0.99095297,0.000018858525],"about_ca_topic_score_codex":0.0005022721,"about_ca_topic_score_gemma":0.0009910809,"teacher_disagreement_score":0.0035538175,"about_ca_system_score_codex":0.00045321832,"about_ca_system_score_gemma":0.00078152725,"threshold_uncertainty_score":0.011888683},"labels":[],"label_agreement":null},{"id":"W4409516544","doi":"10.3389/fnetp.2025.1551043","title":"Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics","year":2025,"lang":"en","type":"review","venue":"Frontiers in Network Physiology","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; Svenska Kulturfonden; Finska Läkaresällskapet; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; Research Manitoba; Health Sciences Centre Foundation","keywords":"Multivariate statistics; Series (stratigraphy); SIGNAL (programming language); Analytics; Computer science; Time series; Multivariate analysis; Econometrics; Statistics; Data science; Data mining; Artificial intelligence; Machine learning; Mathematics; Geology","score_opus":0.07185658469367807,"score_gpt":0.34790983546438353,"score_spread":0.27605325077070547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409516544","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006470987,0.9540166,0.04054894,0.0012864136,0.00043774198,0.000016055974,0.000121782236,0.00008423245,0.0028411555],"genre_scores_gemma":[0.0065996028,0.98334277,0.008253257,0.00020255095,0.00075535034,0.00002798824,0.00015326268,0.000016796828,0.0006484499],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997342,0.0000718895,0.00003457632,0.000057688478,0.00008843631,0.000013164857],"domain_scores_gemma":[0.9982673,0.0013605043,0.00009231792,0.000040804018,0.00021313837,0.000025934012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011924664,0.0011638008,0.0012790223,0.0018051862,0.00016637683,0.0012162066,0.0010340253,0.0012177402,0.0020950104],"category_scores_gemma":[0.0026720185,0.00041768095,0.0008209027,0.0028938612,0.0006001058,0.0016841014,0.000566708,0.0013844373,0.0012855484],"study_design_candidate":"not_applicable","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":[0.000040656036,0.000067047986,0.0006643464,0.009661925,0.00024005085,0.00016247068,0.00010256576,0.0192588,0.0014201135,0.04194936,0.018237958,0.9081947],"study_design_scores_gemma":[0.000032988573,0.00035708144,0.004369026,0.009208079,0.00076289766,0.0018231005,0.00022290992,0.06707253,0.0026580351,0.13573842,0.7775215,0.00023346815],"about_ca_topic_score_codex":0.0019114873,"about_ca_topic_score_gemma":0.0013037844,"teacher_disagreement_score":0.0020950104,"about_ca_system_score_codex":0.00056846073,"about_ca_system_score_gemma":0.0011887561,"threshold_uncertainty_score":0.007008493},"labels":[],"label_agreement":null},{"id":"W4409892422","doi":"10.3389/fnetp.2025.1539682","title":"Preictal connectivity dynamics: Exploring inflow and outflow in iEEG networks","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Savoy Foundation","keywords":"Outflow; Inflow; Dynamics (music); Computer science; Geology; Physics; Acoustics","score_opus":0.019039428956799654,"score_gpt":0.23227120274011823,"score_spread":0.21323177378331856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409892422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92455137,0.0011239208,0.07050065,0.00020758763,0.00001808519,0.00006762007,0.0019370177,0.00033546795,0.0012582911],"genre_scores_gemma":[0.9851989,0.00039117908,0.012053658,0.00001644375,0.000026028005,0.000039355422,0.0019983514,0.000017191456,0.00025885383],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9999069,0.000024881741,0.000007311773,0.000027966358,0.000016852711,0.000016146188],"domain_scores_gemma":[0.99963534,0.00018433332,0.00009236213,0.000023755827,0.000038343307,0.000025802154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024610775,0.0004156911,0.00019512395,0.0012796323,0.00014941538,0.00035705266,0.00020651183,0.00024387424,0.00055537326],"category_scores_gemma":[0.001757489,0.00008941326,0.00030306846,0.00083054905,0.00022558813,0.00039583206,0.0003239086,0.00018467836,0.00011417572],"study_design_candidate":"observational","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":[0.0013872224,0.0003824092,0.31675577,0.0009047935,0.0006205994,0.002326415,0.0010236533,0.18297799,0.09009447,0.0040635257,0.006224975,0.39323816],"study_design_scores_gemma":[0.000037043614,0.00030164377,0.43159854,0.00008163064,0.00017227152,0.0016843613,0.00045118594,0.54183257,0.013839414,0.007083808,0.0028734463,0.00004403924],"about_ca_topic_score_codex":0.0037791622,"about_ca_topic_score_gemma":0.005613464,"teacher_disagreement_score":0.0037791622,"about_ca_system_score_codex":0.00020898189,"about_ca_system_score_gemma":0.00021844546,"threshold_uncertainty_score":0.0075143576},"labels":[],"label_agreement":null},{"id":"W4411413890","doi":"10.3389/fnetp.2025.1585019","title":"Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","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":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Institutes of Health; Swebilius Foundation","keywords":"Neuroimaging; Atlas (anatomy); Functional neuroimaging; Cognitive science; Computer science; Psychology; Neuroscience; Medicine; Anatomy","score_opus":0.045997136618718626,"score_gpt":0.29463607090175914,"score_spread":0.2486389342830405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411413890","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008633408,0.002087974,0.32246518,0.001345073,0.00037442756,0.0005577797,0.49950328,0.13738945,0.027643416],"genre_scores_gemma":[0.0737916,0.0025138638,0.48981193,0.00088194764,0.0001993293,0.004935878,0.36115533,0.054134253,0.012575883],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927455,0.00016451134,0.00010347663,0.00019988602,0.00020009716,0.000057406378],"domain_scores_gemma":[0.9976774,0.0011550902,0.000166259,0.00059366645,0.00025217762,0.00015544186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022699353,0.0013633507,0.0012559593,0.0042349785,0.0007117348,0.0023063307,0.0031510468,0.0010847951,0.09545692],"category_scores_gemma":[0.0067607732,0.0011859355,0.0012617554,0.0048919655,0.00060765067,0.0026952468,0.0041695675,0.0019452624,0.022650963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006504167,0.000089644025,0.0029961227,0.0021826192,0.00035251764,0.0007795007,0.00094853464,0.0038258622,0.007242946,0.03395078,0.83971554,0.10726549],"study_design_scores_gemma":[0.00023135738,0.00007110855,0.009146449,0.00042773498,0.00021263293,0.0023492018,0.00027666736,0.013337216,0.012563483,0.062611766,0.89858276,0.00018950707],"about_ca_topic_score_codex":0.010646512,"about_ca_topic_score_gemma":0.020583797,"teacher_disagreement_score":0.09545692,"about_ca_system_score_codex":0.0012672124,"about_ca_system_score_gemma":0.0028308884,"threshold_uncertainty_score":0.31933522},"labels":[],"label_agreement":null},{"id":"W4412957503","doi":"10.3389/fnetp.2025.1621283","title":"Amplifying post-stimulation oscillatory dynamics by engaging synaptic plasticity with transcranial alternating current stimulation","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Brain Institute; University of Toronto; University of Ottawa; Royal Ottawa Mental Health Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; Stimulation; Transcranial alternating current stimulation; Excitatory postsynaptic potential; Inhibitory postsynaptic potential; Synaptic plasticity; Neuroplasticity; Population; Transcranial direct-current stimulation; Biological neural network; Brain stimulation; Spike-timing-dependent plasticity; Transcranial magnetic stimulation; Psychology; Biology; Medicine","score_opus":0.012262526853598238,"score_gpt":0.2568361088026959,"score_spread":0.24457358194909767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412957503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95096105,0.0024823367,0.044219807,0.00014268699,0.000040539362,0.000044056753,0.0001091646,0.00018736758,0.0018130256],"genre_scores_gemma":[0.9942205,0.00056564127,0.0048657274,0.00003606068,0.000016088146,0.000032738353,0.000037147827,0.000010036262,0.00021601666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999286,0.000010221518,0.000005555934,0.00001878928,0.000022832895,0.000013937145],"domain_scores_gemma":[0.9998468,0.000073281466,0.00003982208,0.00001375014,0.000013320764,0.000012925773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015534204,0.00021007229,0.00015773001,0.00013619117,0.00007199299,0.00018114861,0.00023482059,0.00018140564,0.00072973],"category_scores_gemma":[0.0003497357,0.000060245296,0.00013685471,0.000096316915,0.00036262014,0.00027742382,0.00020144969,0.000253153,0.00009526027],"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":[0.00007188211,0.000012523909,0.00034849969,0.00008253445,0.000006476792,0.000058143774,0.000021676615,0.0004437214,0.9910693,0.0002762061,0.000044452845,0.0075645475],"study_design_scores_gemma":[0.000037001628,0.0007215986,0.019095797,0.000028545615,0.000049434573,0.0006513833,0.00005357962,0.019929655,0.95520025,0.001555766,0.0026559094,0.00002100887],"about_ca_topic_score_codex":0.00014450576,"about_ca_topic_score_gemma":0.00019911818,"teacher_disagreement_score":0.00072973,"about_ca_system_score_codex":0.00014539114,"about_ca_system_score_gemma":0.00009211643,"threshold_uncertainty_score":0.0024412274},"labels":[],"label_agreement":null},{"id":"W4415001575","doi":"10.3389/fnetp.2025.1674935","title":"Computational analysis of two novel deep brain stimulation pulsing patterns on a thalamocortical network model of Parkinson’s disease","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Neurological disorders and treatments","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":"McMaster University","funders":"","keywords":"Deep brain stimulation; Network model; Computational model; Stimulation; Action (physics); Brain stimulation","score_opus":0.015968540622913748,"score_gpt":0.28719575938130115,"score_spread":0.2712272187583874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415001575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.906661,0.00045666698,0.08148715,0.0011559341,0.000065465145,0.000058217905,0.00040356567,0.000174156,0.009537812],"genre_scores_gemma":[0.99028975,0.00013594671,0.007960919,0.00008088923,0.0000113165115,0.00006166182,0.00014754891,0.00001932031,0.0012925785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999938,0.000022969547,0.0000026195457,0.000013330659,0.000008946035,0.000014163995],"domain_scores_gemma":[0.9996055,0.0002755688,0.000033071232,0.000013462921,0.000035999143,0.000036442074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023267817,0.0004111626,0.0005085214,0.0002869542,0.00034204914,0.00055783836,0.0007501438,0.0010190862,0.001960506],"category_scores_gemma":[0.0009708451,0.0002664146,0.000566133,0.00021195972,0.0005000548,0.00050524075,0.00051293976,0.00056255114,0.00008173182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025044952,0.000015273768,0.0005094753,0.000013495002,0.0000111344225,0.000064286876,0.000011415221,0.99726,0.00030644817,0.0009046811,0.000113341404,0.000765384],"study_design_scores_gemma":[0.000004318389,0.000005806474,0.00009340801,8.804788e-7,0.0000025062875,0.0000041491376,0.0000037550526,0.9994838,0.000029977045,0.00034264356,0.000027655788,0.0000011778883],"about_ca_topic_score_codex":0.0138465725,"about_ca_topic_score_gemma":0.011283972,"teacher_disagreement_score":0.0138465725,"about_ca_system_score_codex":0.0006018545,"about_ca_system_score_gemma":0.00058374566,"threshold_uncertainty_score":0.027531981},"labels":[],"label_agreement":null},{"id":"W4416128098","doi":"10.3389/fnetp.2025.1678473","title":"The precision principle: driving biological self-organization","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Slime Mold and Myxomycetes Research","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":"Carleton University; Children's Hospital of Eastern Ontario","funders":"Universidade de São Paulo","keywords":"Modular design; Hebbian theory; Reinforcement learning; Artificial neural network; Redundancy (engineering); Coherence (philosophical gambling strategy); Intuition","score_opus":0.005103279384214916,"score_gpt":0.23077850471755304,"score_spread":0.22567522533333811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416128098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07399267,0.0033611185,0.8606754,0.0043445136,0.00027767042,0.000086726264,0.00017855881,0.00072495994,0.056358483],"genre_scores_gemma":[0.88046175,0.002067219,0.10933915,0.00075711374,0.0003677745,0.00023815826,0.000127348,0.00023010977,0.006411429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992818,0.00013477179,0.000038844788,0.00021301222,0.00023966034,0.000091853624],"domain_scores_gemma":[0.99816704,0.0007581233,0.00029214713,0.00040765636,0.00022217666,0.00015286267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014002689,0.00046189793,0.00066370267,0.00084775477,0.001016077,0.0026818847,0.0011914739,0.0015193071,0.0033873292],"category_scores_gemma":[0.005421189,0.00051037566,0.00064874196,0.00047574728,0.00550632,0.0049304464,0.0025281757,0.0016419331,0.00080039474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002538746,0.000011842611,0.0005316756,0.0000814407,0.000020019857,0.000099915225,0.0002527078,0.019599417,0.005781704,0.9574325,0.0011258981,0.01503753],"study_design_scores_gemma":[0.000021058471,0.000039978844,0.00038059542,0.000029490951,0.000011438575,0.000116356336,0.000056843237,0.041434456,0.0017843262,0.9468424,0.009256998,0.000025998535],"about_ca_topic_score_codex":0.0007750593,"about_ca_topic_score_gemma":0.00048260306,"teacher_disagreement_score":0.0033873292,"about_ca_system_score_codex":0.0010628287,"about_ca_system_score_gemma":0.0011422117,"threshold_uncertainty_score":0.011331737},"labels":[],"label_agreement":null},{"id":"W4416676987","doi":"10.3389/fnetp.2025.1701758","title":"Towards standardizing mitral transcatheter edge-to-edge repair with deep-learning algorithm: a comprehensive multi-model strategy","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Cardiac Valve Diseases and Treatments","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":true,"ca_institutions":"Polytechnique Montréal; Montreal Heart Institute","funders":"","keywords":"Workflow; Quality (philosophy); Mitral valve; Decision support system; Work (physics)","score_opus":0.012646227437925178,"score_gpt":0.3065988829085738,"score_spread":0.29395265547064864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416676987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06500179,0.00093635975,0.929562,0.00088058045,0.000067003646,0.00014490217,0.00017914765,0.002225124,0.0010031323],"genre_scores_gemma":[0.60674286,0.00044450804,0.38790783,0.0009257313,0.00009650583,0.0003470112,0.0011674517,0.00020419239,0.0021638721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991584,0.0002777338,0.00006507626,0.0002852467,0.00011956476,0.00009408206],"domain_scores_gemma":[0.99846435,0.00060501235,0.00015568009,0.00015976059,0.0005218659,0.00009346315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003227498,0.0019140918,0.0011241152,0.0010997573,0.00047871892,0.0014176078,0.0024832685,0.0018740311,0.000988547],"category_scores_gemma":[0.004450424,0.0005975253,0.0013078961,0.00048191927,0.0005199138,0.0015761033,0.0017059791,0.0025436117,0.0006229898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002593578,0.00041794547,0.007273485,0.00010372862,0.00027886554,0.00008231639,0.000087362256,0.66429776,0.0066121607,0.0020829206,0.0029074175,0.3155967],"study_design_scores_gemma":[0.000007399637,0.000043352687,0.00023560166,0.000008445519,0.000013815222,0.00000939448,0.000008711065,0.99759465,0.0009391722,0.0009862387,0.00014851122,0.0000046441473],"about_ca_topic_score_codex":0.0062339227,"about_ca_topic_score_gemma":0.0051019527,"teacher_disagreement_score":0.0062339227,"about_ca_system_score_codex":0.0010785758,"about_ca_system_score_gemma":0.0017523827,"threshold_uncertainty_score":0.017068863},"labels":[],"label_agreement":null}]}