{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":22,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":22,"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"},"query_hash":"6929f2289b48","filters":{"venue":"Journal of Medical Robotics Research"}},"results":[{"id":"W2328427134","doi":"10.1142/s2424905x16400031","title":"An Immersive Virtual Reality Environment for Diagnostic Imaging","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"National Institute of Biomedical Imaging and Bioengineering; Cancer Care Ontario","keywords":"Computer science; Virtual reality; Visualization; Computer graphics (images); Stereoscopy; Human–computer interaction; Computer vision; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1399556481177983,"gpt":0.4683858965098471,"spread":0.3284302483920489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006224985,0.00008094178,0.0002748691,0.0001833642,0.0000975465,0.00002057234,0.0001937065,0.0001068863,0.001073276],"category_scores_gemma":[0.01447448,0.00004562279,0.0001337448,0.0001096961,0.0003208375,0.0001054736,0.00005731901,0.0005325114,0.00002710075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001891259,"about_ca_system_score_gemma":0.0003650591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005536277,"about_ca_topic_score_gemma":9.944803e-7,"domain_scores_codex":[0.9958305,0.0002623762,0.0004930443,0.0001546374,0.002872388,0.0003870991],"domain_scores_gemma":[0.9906847,0.007560666,0.0001088386,0.0001779225,0.0003960941,0.001071812],"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":[0.002111802,0.00162006,0.0213167,0.00007801502,0.0002421559,0.002564506,0.000533212,0.002681642,0.002670848,0.008786139,0.004676911,0.952718],"study_design_scores_gemma":[0.13323,0.02842573,0.1877714,0.008024381,0.0007345076,0.003389569,0.00941649,0.1678735,0.005474005,0.01853409,0.4357643,0.001362103],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057438,0.0005014634,0.7107869,0.1808299,0.0005498051,0.0006424681,0.00001158929,0.00001611007,0.0009179264],"genre_scores_gemma":[0.9972726,0.0005479407,0.000911742,0.0003433543,0.0007782575,0.000003609779,0.000002832007,0.00001580434,0.0001238203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9513559,"threshold_uncertainty_score":0.9998399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2327864658","doi":"10.1142/s2424905x16400079","title":"Ultrasound-Guided Model Predictive Control of Needle Steering in Biological Tissue","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; California HIV/AIDS Research Program","keywords":"Bevel; Deflection (physics); Ultrasound; Biomedical engineering; Computer science; Trajectory; Acoustics; Engineering; Physics; Mechanical engineering; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.09481288450899136,"gpt":0.3812371089006738,"spread":0.2864242243916825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002621115,0.00009698429,0.0003312874,0.0002883571,0.00002952557,0.00001498904,0.0004566811,0.0002204734,0.00008258719],"category_scores_gemma":[0.002559862,0.00006083348,0.00006417448,0.0003476292,0.0002250993,0.0000742078,0.00005945988,0.0006954481,0.000008883339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001485153,"about_ca_system_score_gemma":0.0001877046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006335039,"about_ca_topic_score_gemma":0.000003866683,"domain_scores_codex":[0.997341,0.00009504692,0.0006785412,0.0001043107,0.001410311,0.0003708071],"domain_scores_gemma":[0.9972643,0.001802935,0.00007142706,0.0001689179,0.0003674288,0.0003249932],"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":[0.00003389251,0.0001495153,0.002262882,0.00003658309,0.0000608596,0.00004325348,0.0001260257,0.9300581,0.05760521,0.005037996,0.002157688,0.002428057],"study_design_scores_gemma":[0.002804191,0.0003928332,0.004588016,0.0006014342,0.00001576589,0.0002248473,0.0001950559,0.9772593,0.005978599,0.007458855,0.0003052175,0.0001758494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09521689,0.0004186389,0.901346,0.002229857,0.000120948,0.0001721437,0.00001019935,0.00001878226,0.0004664914],"genre_scores_gemma":[0.9946315,0.001329493,0.003802223,0.00001475287,0.0001649648,0.000007028295,4.85233e-7,0.00001752376,0.00003201859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8994146,"threshold_uncertainty_score":0.3064579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004392413","doi":"10.1142/s2424905x20410019","title":"Surface EMG-Based Hand Gesture Recognition via Hybrid and Dilated Deep Neural Network Architectures for Neurorobotic Prostheses","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Robustness (evolution); Convolutional neural network; Discriminative model; Deep learning; Artificial intelligence; Pattern recognition (psychology); Speech recognition","retraction":null,"screen_n_in":null,"score":{"opus":0.06609059066770097,"gpt":0.3147740680034037,"spread":0.2486834773357028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009753624,0.0001451395,0.0003046867,0.0001258964,0.0002091092,0.00009975636,0.0001960149,0.0001021714,0.00003086464],"category_scores_gemma":[0.001635107,0.0001144248,0.00009831859,0.0004288545,0.0001934408,0.00004290778,0.00004303824,0.001174597,7.823123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002478128,"about_ca_system_score_gemma":0.00006292753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002406763,"about_ca_topic_score_gemma":0.000008047433,"domain_scores_codex":[0.9977238,0.0001794492,0.0003797289,0.0001475867,0.001110207,0.0004592515],"domain_scores_gemma":[0.9978623,0.001177834,0.00006951448,0.00007670622,0.0003618785,0.0004517133],"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":[0.0003335266,0.00005356946,0.000739018,0.0003512345,0.0001590975,0.0001075901,0.0002412666,0.9054964,0.002184291,0.000007434314,0.004819375,0.08550724],"study_design_scores_gemma":[0.001188574,0.0008448988,0.00621313,0.0001438565,0.00003636088,0.00008912686,0.00004142152,0.9886595,0.001386993,0.000626887,0.0006143646,0.000154907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7282842,0.00385752,0.2192277,0.04739782,0.0003935977,0.0006958065,0.000006294521,0.00009025165,0.00004672828],"genre_scores_gemma":[0.9949275,0.0002958855,0.003739431,0.0004792578,0.0005121172,0.000005203045,0.000004740656,0.00003352062,0.000002307299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2666433,"threshold_uncertainty_score":0.5103106,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2319195578","doi":"10.1142/s2424905x16400018","title":"Needle Tracking and Deflection Prediction for Robot-Assisted Needle Insertion Using 2D Ultrasound Images","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Health Solutions","keywords":"Deflection (physics); Deflection angle; Ultrasound; Robot; Biomedical engineering; Computer vision; Computer science; Artificial intelligence; Acoustics; Materials science; Optics; Physics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.1307915798087483,"gpt":0.3976418296639164,"spread":0.2668502498551681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002065963,0.0001080651,0.000201288,0.000339308,0.0002136414,0.0001128332,0.0001687935,0.0002066219,0.00002553212],"category_scores_gemma":[0.001626114,0.00007929483,0.00007586652,0.0003770637,0.0001347121,0.0002654991,0.00003290613,0.0004712328,0.000002586741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00023702,"about_ca_system_score_gemma":0.0001297881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001434581,"about_ca_topic_score_gemma":0.000008901999,"domain_scores_codex":[0.9978784,0.00007191706,0.000495417,0.0001291606,0.00108151,0.0003435931],"domain_scores_gemma":[0.9977674,0.001156129,0.00008610446,0.0001250212,0.0005482484,0.0003171194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008840716,0.0002382709,0.002988811,0.0002233294,0.0001798396,0.00001666285,0.0002835601,0.102492,0.8032001,0.0008286673,0.004896291,0.08456413],"study_design_scores_gemma":[0.008560932,0.001576244,0.1370973,0.003061006,0.0003531022,0.002998799,0.001749172,0.7716039,0.05622324,0.01162574,0.004257937,0.0008927008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1601871,0.0005027596,0.8366385,0.001898937,0.0004256935,0.000217759,0.000007158254,0.00004438077,0.00007782353],"genre_scores_gemma":[0.9822609,0.001271384,0.01570233,0.0000147995,0.0006602053,0.000009035272,0.000002286827,0.00003583942,0.00004316196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8220739,"threshold_uncertainty_score":0.3233549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790279171","doi":"10.1142/s2424905x18410039","title":"Switched-Impedance Control of Surgical Robots in Teleoperated Beating-Heart Surgery","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Teleoperation; Robot; Impedance control; Haptic technology; Simulation; Surgical robot; Robotic surgery; Computer science; Control theory (sociology); Artificial intelligence; Control (management)","retraction":null,"screen_n_in":null,"score":{"opus":0.05943639895537021,"gpt":0.3801889074639645,"spread":0.3207525085085943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005705078,0.0001220685,0.0005460791,0.0004510023,0.00006190892,0.00003643157,0.0004033086,0.0002453274,0.0002027742],"category_scores_gemma":[0.002145152,0.0001012658,0.0001217128,0.001052539,0.0003429919,0.00008099047,0.00006044035,0.001269489,0.00002880584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009946626,"about_ca_system_score_gemma":0.0004646859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002519344,"about_ca_topic_score_gemma":0.00002233091,"domain_scores_codex":[0.9960141,0.0001832811,0.001016013,0.0001315028,0.002147842,0.0005072544],"domain_scores_gemma":[0.995629,0.002715569,0.00009597454,0.000226846,0.0009057351,0.0004268441],"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":[0.0003757028,0.001466004,0.06812888,0.0005396619,0.0003973411,0.00118072,0.001088198,0.8377374,0.01651156,0.006009003,0.04574502,0.02082053],"study_design_scores_gemma":[0.003315499,0.000481298,0.01667685,0.00127404,0.00003002744,0.000601097,0.0002363123,0.9622821,0.005329474,0.0007415685,0.008660918,0.00037088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829611,0.002668868,0.08953754,0.02207253,0.001034033,0.0004671447,0.000007533724,0.0000675293,0.001183745],"genre_scores_gemma":[0.9964233,0.0007586541,0.002076464,0.00004081635,0.000641839,0.000004781717,0.000001158435,0.0000276903,0.00002528549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1245446,"threshold_uncertainty_score":0.5515369,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2982892418","doi":"10.1142/s2424905x19420017","title":"Augmented Reality Training Platform for Neurosurgical Burr Hole Localization","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Southeastern Ontario Academic Medical Organization; Canada Research Chairs","keywords":"Drill; Augmented reality; Computer science; Position (finance); Neurosurgery; Training (meteorology); Identification (biology); Plan (archaeology); Medical physics; Work (physics); Curriculum; Artificial intelligence; Simulation; Medicine; Surgery; Engineering; Psychology; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.2926050359993079,"gpt":0.4844296492808533,"spread":0.1918246132815454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007724887,0.0001066509,0.0004665254,0.0002904356,0.0001099115,0.00004929098,0.0001950276,0.0002667351,0.001071339],"category_scores_gemma":[0.005924179,0.00007664541,0.0002104607,0.000487993,0.0001613688,0.0001095094,0.00006621271,0.001210293,0.00002818841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258195,"about_ca_system_score_gemma":0.000674422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005229802,"about_ca_topic_score_gemma":0.000001606906,"domain_scores_codex":[0.9946073,0.0001687757,0.0007881604,0.0001851391,0.003781453,0.0004691727],"domain_scores_gemma":[0.9957512,0.002103581,0.0001660696,0.0001730799,0.0009612236,0.0008448553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01824625,0.004292333,0.02950644,0.001934474,0.001090856,0.004132878,0.004275481,0.2257237,0.001295666,0.09047771,0.01487219,0.604152],"study_design_scores_gemma":[0.02012576,0.002919757,0.004511142,0.0009212037,0.00006359002,0.0004504837,0.001230243,0.8610484,0.0001378324,0.001527445,0.106895,0.0001691609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.581521,0.0004292181,0.3435736,0.05435687,0.002029467,0.001878886,0.000009914617,0.00008409977,0.01611692],"genre_scores_gemma":[0.9975263,0.0001135427,0.0007121844,0.0005696243,0.0005838217,0.000002807973,0.00001651535,0.00002307323,0.0004521297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6353247,"threshold_uncertainty_score":0.9998418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2601415716","doi":"10.1142/s2424905x17400013","title":"Telerobotics-Assisted Platform for Enhancing Interaction with Physical Environments for People Living with Cerebral Palsy","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Glenrose Rehabilitation Hospital; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; AGE-WELL; California HIV/AIDS Research Program","keywords":"Workspace; Task (project management); Human–computer interaction; Cerebral palsy; Robot; Computer science; Telerobotics; Motion (physics); Protocol (science); Field (mathematics); SMT placement equipment; Simulation; Artificial intelligence; Engineering; Physical medicine and rehabilitation; Mobile robot; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.08464294727875911,"gpt":0.4032290937914528,"spread":0.3185861465126937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002478772,0.0001808271,0.0005897751,0.0001999222,0.0005766882,0.0001481592,0.000382292,0.0001540689,0.00008556068],"category_scores_gemma":[0.003284001,0.0001141343,0.0001888577,0.00009163775,0.0002786034,0.0003372643,0.0001319742,0.001018796,0.000004222085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143995,"about_ca_system_score_gemma":0.0005333282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003624543,"about_ca_topic_score_gemma":0.0006615063,"domain_scores_codex":[0.9961264,0.00005431839,0.0004740877,0.0002403493,0.002506004,0.0005989136],"domain_scores_gemma":[0.9968884,0.001366502,0.0004283705,0.0003653989,0.0003821482,0.0005691535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0643717,0.03170318,0.3813863,0.01352106,0.01131299,0.001319046,0.01976114,0.02037734,0.03438848,0.01454147,0.02448153,0.3828357],"study_design_scores_gemma":[0.08933233,0.06776078,0.6085628,0.03021112,0.002419386,0.002577295,0.02751345,0.1413606,0.0125707,0.003106344,0.01267579,0.001909327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677443,0.00006636504,0.2151429,0.01469039,0.0003470712,0.001464134,0.000005435683,0.00001207666,0.0005273489],"genre_scores_gemma":[0.9901512,0.0001121481,0.008080165,0.0001510336,0.0007899769,0.00003234992,0.000007839045,0.00004534222,0.0006299216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3809264,"threshold_uncertainty_score":0.465426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3039184703","doi":"10.1142/s2424905x20410032","title":"Intelligent Control of a Spinal Prosthesis to Restore Walking After Neural Injury: Recent Work and Future Possibilities","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Microstimulation; Neural Prosthesis; Computer science; Motor control; Adaptation (eye); Artificial neural network; Artificial intelligence; Control engineering; Neuroscience; Engineering; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1113124552956944,"gpt":0.4428181350809766,"spread":0.3315056797852822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005591535,0.0001898367,0.0007573022,0.0005455639,0.00007897297,0.00007027041,0.0004695219,0.0002514724,0.000638454],"category_scores_gemma":[0.01099698,0.0001320997,0.000166406,0.001263575,0.0004963431,0.00009922747,0.0003681073,0.002763228,0.00001178149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299546,"about_ca_system_score_gemma":0.001122359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008421757,"about_ca_topic_score_gemma":0.000002963158,"domain_scores_codex":[0.9912822,0.0006237028,0.001014247,0.0003096779,0.00609556,0.0006745983],"domain_scores_gemma":[0.9947886,0.0004371521,0.0001679016,0.0002969507,0.002158176,0.002151176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2085524,0.0009248407,0.08739433,0.001928337,0.0005481935,0.005183949,0.003325489,0.00005468309,0.003010066,0.0009226634,0.01295502,0.6752],"study_design_scores_gemma":[0.01823016,0.289297,0.4605748,0.01466826,0.0008395501,0.003134331,0.0218164,0.01000197,0.01175231,0.001412969,0.1666515,0.001620737],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6674536,0.004345343,0.001149609,0.3260793,0.0002113129,0.0006837754,0.000004739009,0.000009325383,0.00006302677],"genre_scores_gemma":[0.9921716,0.001777533,0.002141193,0.001714166,0.002069017,0.00001397929,6.604091e-7,0.00003582536,0.00007604231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6735793,"threshold_uncertainty_score":0.9995374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789767748","doi":"10.1142/s2424905x18420047","title":"Event-Triggered 3D Needle Control Using a Reduced-Order Computationally Efficient Bicycle Model in a Constrained Optimization Framework","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Nuclear Physics; Natural Sciences and Engineering Research Council of Canada; University of Alberta; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Deflection (physics); Kinematics; Computer science; Limiting; Brachytherapy; Trajectory; Simulation; Control theory (sociology); Biomedical engineering; Engineering; Artificial intelligence; Surgery; Physics; Mechanical engineering; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.06108438161378112,"gpt":0.3964388010259983,"spread":0.3353544194122172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002311282,0.0001166423,0.0002759761,0.0004778264,0.0001245877,0.00007626974,0.0003255347,0.0002378541,0.0001213576],"category_scores_gemma":[0.001799679,0.0001071713,0.00006191567,0.001044834,0.0002736732,0.00005847988,0.00005271178,0.001028248,0.000009126692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224256,"about_ca_system_score_gemma":0.0007745987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007814364,"about_ca_topic_score_gemma":0.000003310871,"domain_scores_codex":[0.9967837,0.0001153899,0.0007058688,0.0001348574,0.001851742,0.0004084174],"domain_scores_gemma":[0.997584,0.0007574768,0.00009801375,0.0001533327,0.001056398,0.0003507988],"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":[0.0000254232,0.000165381,0.00003853276,0.00002000299,0.00003808366,0.00001996474,0.0002337809,0.9961063,0.0003855001,0.002106721,0.0002016747,0.0006586075],"study_design_scores_gemma":[0.001040333,0.00006800799,0.00006985868,0.0002761308,0.00001298318,0.00003825224,0.0000985958,0.9960442,0.00003818414,0.002205919,0.00001083005,0.00009677361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04327229,0.0001373189,0.9537947,0.002221902,0.0001873116,0.000204577,0.000003940926,0.00001861869,0.0001593051],"genre_scores_gemma":[0.7517769,0.00004344,0.2477755,0.00006878227,0.0003007259,0.000003642171,0.000002027247,0.00002339459,0.00000559006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7085046,"threshold_uncertainty_score":0.4467284,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005525205","doi":"10.1142/s2424905x19420054","title":"Detection of Suture Needle Using Deep Learning","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Misericordia Community Hospital; University of Alberta","funders":"","keywords":"Artificial intelligence; Pixel; Computer science; Centroid; Ground truth; Deep learning; Minimum bounding box; Intersection (aeronautics); Computer vision; Set (abstract data type); Bounding overwatch; Image (mathematics); Pattern recognition (psychology); Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.1273343228784363,"gpt":0.4524151357227073,"spread":0.3250808128442709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004430303,0.00006222671,0.0003193533,0.000353621,0.00005832964,0.00001561664,0.0001158702,0.0002142945,0.001194321],"category_scores_gemma":[0.005845838,0.00004471348,0.0001343021,0.0005191565,0.0001045007,0.00006490896,0.0000581994,0.001906109,0.00002007626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009273176,"about_ca_system_score_gemma":0.0003022687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001352239,"about_ca_topic_score_gemma":0.000002120632,"domain_scores_codex":[0.9957564,0.0002507748,0.0004841019,0.0000869116,0.003169957,0.0002518356],"domain_scores_gemma":[0.9972972,0.00119517,0.0001702458,0.00009792433,0.0008188825,0.0004205842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003306565,0.00107873,0.1104805,0.0009496861,0.0006215384,0.001577382,0.002370067,0.3173703,0.08129918,0.001717324,0.00007884354,0.4791499],"study_design_scores_gemma":[0.01053136,0.003044958,0.01715237,0.00163206,0.00009200643,0.001223731,0.003910442,0.9462695,0.004992715,0.0003315592,0.01066218,0.0001570801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822333,0.0004979118,0.01332692,0.001329354,0.0003269952,0.0001165105,8.696266e-8,0.000007035673,0.002161884],"genre_scores_gemma":[0.9982371,0.0001520681,0.0009949639,0.00005389247,0.0003861438,1.38951e-7,5.629197e-7,0.00001289096,0.0001622809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6288992,"threshold_uncertainty_score":0.9997187,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2331492476","doi":"10.1142/s2424905x1640002x","title":"Ultrasound-Based Image Guidance and Motion Compensating Control for Robot-Assisted Beating-Heart Surgery","year":2016,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; University of Alberta","keywords":"Teleoperation; Task (project management); Computer vision; Ultrasound; Orientation (vector space); Computer science; Artificial intelligence; Medicine; Robot; Radiology; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0667190563421857,"gpt":0.3622180809245575,"spread":0.2954990245823718,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049142,0.0001181526,0.0003513137,0.000227125,0.0001653593,0.00008983651,0.0002161068,0.0001532183,0.00004714254],"category_scores_gemma":[0.007682574,0.00008372348,0.0001223764,0.0002423262,0.0002199221,0.000103846,0.00002405727,0.000454942,0.000006575743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187364,"about_ca_system_score_gemma":0.0001919377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004846659,"about_ca_topic_score_gemma":0.000004560474,"domain_scores_codex":[0.9973322,0.0001305415,0.0006594802,0.0001386008,0.001316131,0.0004230118],"domain_scores_gemma":[0.9880519,0.01054906,0.0001126744,0.0001736529,0.0007127385,0.0003999606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002659503,0.0007674995,0.0317986,0.001328533,0.0004876705,0.0001288254,0.0002472312,0.17484,0.6045436,0.006744412,0.06873126,0.1101164],"study_design_scores_gemma":[0.00833516,0.0004758399,0.1169401,0.003397108,0.0001240857,0.000721738,0.0001837783,0.8449424,0.01432422,0.003671502,0.006128776,0.0007552555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01716233,0.0003534338,0.9637081,0.01825637,0.0002052295,0.0002257122,0.00001053884,0.00003568826,0.00004257815],"genre_scores_gemma":[0.9488086,0.0001363151,0.05047871,0.00009939301,0.0004030203,0.00001760784,0.000002441696,0.00003552274,0.00001845728],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9316462,"threshold_uncertainty_score":0.9197314,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387641544","doi":"10.1142/s2424905x23400044","title":"Robot Learning Incorporating Human Interventions in the Real World for Autonomous Surgical Endoscopic Camera Control","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Surgical Simulation and Training","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council; Canada Foundation for Innovation","keywords":"Artificial intelligence; Reinforcement learning; Computer science; Imitation; Robot; Object (grammar); Process (computing); Robotics; Psychological intervention; Task (project management); Computer vision; Human–computer interaction; Psychology; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.2538713243979827,"gpt":0.5139318544818497,"spread":0.260060530083867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01659787,0.0001017671,0.0004539395,0.0008017745,0.0002906649,0.00007984378,0.0003025937,0.000137841,0.0002504591],"category_scores_gemma":[0.005537264,0.00006530176,0.0003110667,0.001256069,0.0002280834,0.00006387894,0.00007536561,0.00250203,0.0000171296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000140918,"about_ca_system_score_gemma":0.0004348626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005798863,"about_ca_topic_score_gemma":0.0001487607,"domain_scores_codex":[0.9950669,0.000866525,0.001008475,0.0001548352,0.002421985,0.00048126],"domain_scores_gemma":[0.9926827,0.00615479,0.0002154804,0.0001324835,0.0004335366,0.000380985],"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":[0.002424636,0.003378743,0.417409,0.001487779,0.0009008186,0.02758726,0.005002005,0.2630188,0.0004288149,0.1144414,0.00397794,0.1599429],"study_design_scores_gemma":[0.07283374,0.008291469,0.2498379,0.007357345,0.0002774042,0.0007230575,0.008529857,0.6136584,0.00004484163,0.007618787,0.03037401,0.0004531937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.852275,0.0005550773,0.01585297,0.1159042,0.0008523716,0.002054645,0.000004890511,0.0001357617,0.01236513],"genre_scores_gemma":[0.9977276,0.00007786844,0.0004543822,0.0001211746,0.0007254234,0.00001846785,0.00001310718,0.00001879689,0.0008431394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3506396,"threshold_uncertainty_score":0.9997993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3039328370","doi":"10.1142/s2424905x20410020","title":"An Admittance-controlled Force-scaling Dexterous Assistive Robotic System","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Haptic technology; Usability; Human–computer interaction; Computer science; Perception; Scaling; GRASP; Lift (data mining); Admittance; Simulation; Engineering; Psychology; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07863076071598082,"gpt":0.3633369604448896,"spread":0.2847061997289088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003867691,0.0001626047,0.0007295023,0.0002243976,0.0001282032,0.0002012494,0.0006142887,0.0002487341,0.0001547124],"category_scores_gemma":[0.001945297,0.0001233467,0.0001645858,0.0004089562,0.00008370103,0.0001924276,0.00004622749,0.001410392,0.00007453325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442395,"about_ca_system_score_gemma":0.0003443906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005563336,"about_ca_topic_score_gemma":0.000007335957,"domain_scores_codex":[0.9945131,0.000462418,0.001044113,0.0001649639,0.003332176,0.000483206],"domain_scores_gemma":[0.9970338,0.0006204913,0.0001160071,0.0001897272,0.0006525044,0.001387443],"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":[0.000359686,0.0001070439,0.0003489038,0.0005419517,0.000350552,0.001410247,0.00143019,0.9792923,0.001902156,0.004555188,0.003787142,0.005914627],"study_design_scores_gemma":[0.003160856,0.0003923077,0.0002281454,0.0004426731,0.00003216442,0.0002836502,0.001757468,0.9930901,0.0001150606,0.00001530323,0.0003551036,0.0001271925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03579731,0.002347541,0.9506633,0.006260358,0.00182303,0.0005569314,0.000002352861,0.0001922241,0.002356966],"genre_scores_gemma":[0.9948224,0.0001454487,0.002937892,0.0001283588,0.001864702,0.00000736804,0.000001225185,0.00004269677,0.00004993903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9590251,"threshold_uncertainty_score":0.6127531,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388303123","doi":"10.1142/s2424905x23400068","title":"Robot-Assisted Vascular Shunt Insertion with the dVRK Surgical Robot","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":3,"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":"Teleoperation; Robot; Surgical robot; Simulation; Blood loss; Computer science; Shunt (medical); Artificial intelligence; Surgery; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.07833382084746052,"gpt":0.3957774722524466,"spread":0.3174436514049861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007360419,0.0001757915,0.0005255378,0.0004754597,0.0002811737,0.0001065637,0.0004942953,0.0002146608,0.000599262],"category_scores_gemma":[0.001532436,0.00009074574,0.000482538,0.001606998,0.0005253772,0.0001077868,0.0002070252,0.001902765,0.0001544216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604816,"about_ca_system_score_gemma":0.001359796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002911805,"about_ca_topic_score_gemma":0.00002322827,"domain_scores_codex":[0.9896559,0.0007167626,0.0005833454,0.0002418085,0.008138027,0.0006641396],"domain_scores_gemma":[0.9963517,0.0008662277,0.0001245893,0.0004941074,0.001079704,0.001083673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008017927,0.01085786,0.1361524,0.00288136,0.01122708,0.05477291,0.003028585,0.08319274,0.007108245,0.007845419,0.3168949,0.3580205],"study_design_scores_gemma":[0.01215757,0.00341868,0.9119133,0.001902861,0.0006830518,0.008425702,0.003120612,0.01249154,0.0003580278,0.0002134366,0.04493368,0.0003814825],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8106321,0.002069336,0.006642055,0.1772383,0.0006275676,0.001048319,0.000003876216,0.0001266032,0.001611917],"genre_scores_gemma":[0.9948146,0.002631808,0.000309005,0.000341124,0.001179385,0.00001344364,0.00001746501,0.0000453367,0.0006478398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7757609,"threshold_uncertainty_score":0.8266674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007742448","doi":"10.1142/s2424905x19500053","title":"Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller","year":2019,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Interface (matter); Gaze; Haptic technology; Computer science; Human–computer interaction; User interface; Eye tracking; Eye–hand coordination; Control (management); Robot; Simulation; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1045833355095055,"gpt":0.4490616434765896,"spread":0.3444783079670841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004710261,0.000113208,0.0008672541,0.000398166,0.00005440359,0.00004406451,0.001110218,0.0001755267,0.0000119984],"category_scores_gemma":[0.002916203,0.00008383668,0.0001213361,0.000321356,0.0003600212,0.0001324859,0.0002999627,0.000800548,0.000003427784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004375101,"about_ca_system_score_gemma":0.0002214616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008808169,"about_ca_topic_score_gemma":0.000003144534,"domain_scores_codex":[0.9965452,0.0002420917,0.000942065,0.0002145699,0.001680408,0.0003756433],"domain_scores_gemma":[0.995043,0.002602117,0.000563603,0.0002395295,0.001370047,0.000181719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002563287,0.003891463,0.2179157,0.00258929,0.002189489,0.0001655321,0.005509289,0.08162902,0.2072506,0.3693719,0.003131193,0.1037933],"study_design_scores_gemma":[0.00498786,0.002825792,0.008178299,0.001483568,0.00003732562,0.00003356582,0.0007306272,0.970252,0.007061014,0.004171651,0.0001066185,0.0001316369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2243227,0.002077848,0.7672051,0.005834291,0.0002329717,0.0002662192,0.000001033125,0.000008616345,0.00005120489],"genre_scores_gemma":[0.9756242,0.000112975,0.02410785,0.00002439191,0.00004663787,0.000003555077,1.337419e-7,0.000008254083,0.00007202165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8886231,"threshold_uncertainty_score":0.3491178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2740042736","doi":"10.1142/s2424905x17500088","title":"Improved Temporal Calibration of Tracked Ultrasound: An Open-Source Solution","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Queen's University","funders":"Cancer Care Ontario","keywords":"Computer vision; Calibration; Artificial intelligence; Standard deviation; Computer science; Translation (biology); Position (finance); Image (mathematics); Ultrasound; Line (geometry); Acoustics; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.09678150782934589,"gpt":0.4270282971985166,"spread":0.3302467893691707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009886672,0.00008403656,0.0002600329,0.0002799267,0.0004760592,0.0008953461,0.003906565,0.0001966215,0.00003973113],"category_scores_gemma":[0.004272425,0.00006591257,0.00007053949,0.0002044857,0.0003286008,0.002176025,0.0007106207,0.0009788729,0.000001636218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008465002,"about_ca_system_score_gemma":0.0008163454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000510958,"about_ca_topic_score_gemma":0.00009675891,"domain_scores_codex":[0.996091,0.0004775348,0.0005936858,0.0001815621,0.002355287,0.000300939],"domain_scores_gemma":[0.997142,0.0003074349,0.0005275735,0.0007176652,0.0009345952,0.0003707511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004843042,0.00221249,0.001091952,0.0001696312,0.0001421621,0.0004815614,0.002428029,0.0003165432,0.1792255,0.009787015,0.01643713,0.7872237],"study_design_scores_gemma":[0.002507093,0.005384935,0.002752151,0.0003852013,0.00001658581,0.000799871,0.000294437,0.571934,0.3991375,0.01415547,0.002319896,0.0003128971],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007398591,0.00004632545,0.9858074,0.006039321,0.0002783872,0.0001601465,5.336435e-7,0.00002230779,0.0002470112],"genre_scores_gemma":[0.9430938,0.0001405789,0.05618366,0.00007448799,0.0002958667,0.000002401609,8.308839e-7,0.00001032863,0.0001980044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9356952,"threshold_uncertainty_score":0.8633843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792635272","doi":"10.1142/s2424905x18410040","title":"Model Averaging and Input Transformation for 3D Needle Steering","year":2018,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Deflection (physics); Control theory (sociology); Duty cycle; Curvature; Computer science; Sliding mode control; Deflection angle; Transformation (genetics); Control engineering; Engineering; Control (management); Mathematics; Artificial intelligence; Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.1099721859043869,"gpt":0.3949549968393512,"spread":0.2849828109349642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843856,0.0000635531,0.0001356612,0.0001956257,0.0001262984,0.00006409761,0.0001806658,0.0001003596,0.00001695378],"category_scores_gemma":[0.0002917207,0.00005515158,0.00003604386,0.0001810059,0.000103447,0.0001535915,0.00003145172,0.0004759076,0.000003953397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005748068,"about_ca_system_score_gemma":0.00009843503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001816821,"about_ca_topic_score_gemma":0.000004087624,"domain_scores_codex":[0.9984396,0.00001662961,0.0003266904,0.00006029093,0.0009001519,0.000256634],"domain_scores_gemma":[0.9989995,0.0002695517,0.00002731374,0.00008504782,0.0003581745,0.0002604251],"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":[0.00002540288,0.00005755825,0.00004749449,0.0002626112,0.00007029319,0.000006251681,0.002482642,0.9120148,0.00194939,0.01744822,0.003577668,0.06205771],"study_design_scores_gemma":[0.0004101012,0.00007915547,0.00003597965,0.00009337039,0.000008063877,0.00003086103,0.0001230202,0.9938689,0.0003468585,0.002787154,0.002161706,0.00005484141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02009403,0.0001819417,0.9762161,0.002526998,0.0001288906,0.0001230279,0.0000016368,0.00001741449,0.0007100037],"genre_scores_gemma":[0.9324801,0.0005606437,0.06636075,0.00004200037,0.0004922862,0.00000629443,0.000001162967,0.00002172962,0.00003501238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9123861,"threshold_uncertainty_score":0.2249016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4397022763","doi":"10.1142/s2424905x24500041","title":"Robotic Assistance and Haptic Feedback in Arthroscopic Procedures: Design and Preliminary Evaluation of a Two-Arm System","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Sturgeon Community Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Government of Alberta","keywords":"Haptic technology; Robotic arm; Computer science; Human–computer interaction; Simulation; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.09428543126113484,"gpt":0.400555668325791,"spread":0.3062702370646562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006398397,0.0001004898,0.00026788,0.0003760655,0.00004431388,0.00008594061,0.0001671085,0.0001219324,0.00001580166],"category_scores_gemma":[0.001014421,0.00008393398,0.00002939865,0.0005178156,0.0001723155,0.0001006181,0.00005678744,0.0007358451,0.00000320754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200989,"about_ca_system_score_gemma":0.0005803034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005156142,"about_ca_topic_score_gemma":0.00001263663,"domain_scores_codex":[0.9968087,0.0002194383,0.0005520629,0.0001454986,0.002026787,0.0002475256],"domain_scores_gemma":[0.9981976,0.001045746,0.000048517,0.0001248703,0.0003509139,0.0002323606],"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":[0.00002927848,0.0001040575,0.0003038657,0.00259351,0.00008370584,0.0001054406,0.0005170621,0.9788029,0.00104143,0.006976193,0.0006021814,0.008840409],"study_design_scores_gemma":[0.00065218,0.0002143976,0.001995036,0.003421731,0.00005799473,0.0002016947,0.0003142169,0.9909878,0.0001047588,0.001969908,0.00001182032,0.00006850895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2714273,0.05962674,0.6627116,0.003858363,0.0005906376,0.001346068,0.000002071558,0.00006667279,0.0003705868],"genre_scores_gemma":[0.9884608,0.001688145,0.009688926,0.000004084631,0.0001033061,0.00001959525,4.832307e-7,0.00002246139,0.00001218058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7170335,"threshold_uncertainty_score":0.3422729,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399504148","doi":"10.1142/s2424905x24400105","title":"Autonomous Soft-Tissue Needle Steering Using Reinforcement Learning Guided by Human Input","year":2024,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; China Scholarship Council; Canada Foundation for Innovation","keywords":"Reinforcement learning; Computer science; Human–computer interaction; Soft robotics; Reinforcement; Biomedical engineering; Artificial intelligence; Psychology; Engineering; Robot; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1146351866501324,"gpt":0.4659025670389844,"spread":0.351267380388852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005554092,0.0001273818,0.0004019227,0.0007221101,0.0001820265,0.0001405775,0.000216168,0.0002378398,0.0008778014],"category_scores_gemma":[0.003759669,0.00009587526,0.0001805915,0.0005125015,0.000218691,0.000136529,0.0001533379,0.002451939,0.00004074712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006265027,"about_ca_system_score_gemma":0.001240183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005781424,"about_ca_topic_score_gemma":0.000001243595,"domain_scores_codex":[0.994548,0.0002271203,0.000882308,0.0001784063,0.003695643,0.0004685247],"domain_scores_gemma":[0.9976962,0.0008377291,0.0001044858,0.0001542143,0.0005498838,0.0006574946],"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":[0.0004073695,0.0009979465,0.007304777,0.005180039,0.001651059,0.008338823,0.00556946,0.3531068,0.3006727,0.004833451,0.1739287,0.1380089],"study_design_scores_gemma":[0.003802507,0.005000927,0.0006649145,0.008109116,0.0002034692,0.00390144,0.003027042,0.6660931,0.007053227,0.0003544892,0.3013919,0.0003979249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6359042,0.01318938,0.3123555,0.02806569,0.003122723,0.0008373965,0.00000176447,0.0001403661,0.006383025],"genre_scores_gemma":[0.988228,0.0004362497,0.003521769,0.0001797484,0.001275912,0.000002362517,0.000004962372,0.00004679885,0.006304163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3523238,"threshold_uncertainty_score":0.9998494,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3093911881","doi":"10.1142/s2424905x20020018","title":"Editorial: Autonomy and Intelligence in Neurorehabilitation Robotic and Prosthetic Technologies","year":2020,"lang":"en","type":"editorial","venue":"Journal of Medical Robotics Research","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; University of Alberta","funders":"","keywords":"Neurorehabilitation; Human–computer interaction; Interfacing; Computer science; Autonomy; Rehabilitation robotics; Robot; Human–robot interaction; Robotics; Adaptability; Artificial intelligence; Rehabilitation; Psychology; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.05872800968810594,"gpt":0.399748577104601,"spread":0.3410205674164951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005089637,0.0002517301,0.000669261,0.0007799685,0.0001080486,0.000346608,0.001191635,0.001074147,0.000007951582],"category_scores_gemma":[0.1019322,0.0001926102,0.00006936842,0.0006909535,0.001423856,0.0002201642,0.0009887635,0.007142797,0.000006384938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186916,"about_ca_system_score_gemma":0.001763852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001302277,"about_ca_topic_score_gemma":0.000007863104,"domain_scores_codex":[0.991555,0.0009039481,0.001007619,0.0005792945,0.005436006,0.0005181661],"domain_scores_gemma":[0.9839846,0.01449765,0.0003322384,0.0002377142,0.0005846911,0.0003631003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001667758,0.0002073954,0.00005152724,0.0007163018,0.00001387437,0.0006064067,0.001170065,0.0009193267,0.0006091043,0.0007222474,0.9542384,0.04057856],"study_design_scores_gemma":[0.001416106,0.005726553,0.00005072882,0.003918917,0.00003863568,0.0002726607,0.001193239,0.03689043,0.001762011,0.02077864,0.9273343,0.0006177961],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0008062335,0.001331169,0.002050326,0.02896977,0.9663257,0.0004264323,0.000004379252,0.00004536721,0.00004061734],"genre_scores_gemma":[0.02558744,0.006355627,0.002332292,0.00006534974,0.9655264,0.00001344485,0.00000165381,0.00005549835,0.000062277],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09684252,"threshold_uncertainty_score":0.9951478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411497564","doi":"10.1142/s2424905x25500102","title":"CRONOS: A Continuum Robot for Neurovascular Surgery — Design, Development, and Feasibility Evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Robotics Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Neurovascular bundle; Robot; Medicine; Medical physics; Computer science; Surgery; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.2612992052669286,"gpt":0.4502197904824776,"spread":0.188920585215549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01395824,0.00009445861,0.000280218,0.0003161721,0.0001473234,0.00008940059,0.000229773,0.0001432081,0.00002389259],"category_scores_gemma":[0.007638087,0.00008260218,0.00008803571,0.0003974031,0.0001108165,0.00006885193,0.00006573347,0.0005506192,0.000002201569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623658,"about_ca_system_score_gemma":0.0009907887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001762816,"about_ca_topic_score_gemma":0.000009160429,"domain_scores_codex":[0.9972955,0.0002186245,0.0005902311,0.0001402898,0.001451282,0.0003040997],"domain_scores_gemma":[0.9951638,0.00340884,0.00005639356,0.0001782466,0.0009474591,0.0002452408],"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":[0.0002234333,0.0008249554,0.009959497,0.001504071,0.0009293493,0.00006834968,0.0006566279,0.4933942,0.004068995,0.003179225,0.112439,0.3727523],"study_design_scores_gemma":[0.002780651,0.0001325126,0.03205277,0.0007503348,0.0001584199,0.00006682795,0.0002351037,0.9297717,0.005886158,0.0113611,0.01648667,0.0003177158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03792265,0.001822337,0.9559923,0.003293113,0.0003285911,0.0005533244,6.580485e-7,0.00001859687,0.00006843719],"genre_scores_gemma":[0.9167943,0.0009714425,0.08163932,0.00009549564,0.0002754136,0.0000852734,0.000005794142,0.00003412082,0.00009886145],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8788716,"threshold_uncertainty_score":0.9144055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4250742555","doi":"10.1142/s2424905x1902001x","title":"Editorial","year":2019,"lang":"en","type":"editorial","venue":"Journal of Medical Robotics Research","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Download; Robotics; Artificial intelligence; Library science; Computer science; World Wide Web; Robot","retraction":null,"screen_n_in":null,"score":{"opus":0.07134283299173476,"gpt":0.4732900539941118,"spread":0.4019472210023771,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","research_integrity","insufficient_payload"],"category_scores_codex":[0.07180813,0.0005544093,0.001980893,0.002287134,0.0001599251,0.0005057428,0.005480101,0.007875446,0.003178458],"category_scores_gemma":[0.2414675,0.0004270547,0.0007666945,0.001412901,0.001045041,0.0003158784,0.001405721,0.04025207,0.02601359],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211789,"about_ca_system_score_gemma":0.02877053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007567644,"about_ca_topic_score_gemma":0.00002199219,"domain_scores_codex":[0.9004406,0.002854655,0.002443559,0.0005754136,0.09188512,0.001800699],"domain_scores_gemma":[0.9468281,0.02926572,0.001614513,0.001230231,0.01820662,0.002854876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008405086,0.0004666673,0.000004102495,0.0003324536,0.0003900328,0.0008662606,0.00007071779,0.0004023401,0.00002660299,0.0001365988,0.996154,0.0003097802],"study_design_scores_gemma":[0.00338575,0.001411032,7.289062e-7,0.002031382,0.0001062141,0.00005979629,0.00006765706,0.0003295768,0.000007592578,0.0005028186,0.9917424,0.0003550162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000004051457,0.001280755,0.0001638851,0.002329937,0.9940655,0.0003181689,0.00006367121,0.00005555492,0.001718447],"genre_scores_gemma":[0.000008743628,0.002475411,0.000522297,0.00001326807,0.9923735,0.000003947673,0.00004870495,0.0008860103,0.003668093],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1696593,"threshold_uncertainty_score":0.9999007,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}