{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"ed5c62291401","filters":{"venue":"Current Robotics Reports"}},"results":[{"id":"W3048379220","doi":"10.1007/s43154-020-00015-4","title":"Human-Robot Interaction in Rehabilitation and Assistance: a Review","year":2020,"lang":"en","type":"review","venue":"Current Robotics Reports","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rehabilitation; Human–robot interaction; Physical medicine and rehabilitation; Robot; Human–computer interaction; Psychology; Computer science; Artificial intelligence; Medicine; Neuroscience","retraction":null,"screen_n_in":null,"score":{"opus":0.04331554553020657,"gpt":0.3541744538710312,"spread":0.3108589083408247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004386306,0.0004840015,0.001635044,0.0002494215,0.00004980469,0.00006177012,0.0001087052,0.0002118438,0.00001316665],"category_scores_gemma":[0.0003844089,0.000449136,0.0003140752,0.0005234178,0.00007119249,0.0001208142,0.00007252642,0.0008279909,0.00001421387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622693,"about_ca_system_score_gemma":0.00009080704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001034323,"about_ca_topic_score_gemma":0.00000516307,"domain_scores_codex":[0.9970408,0.0001203891,0.001758414,0.0005435329,0.0002761162,0.000260748],"domain_scores_gemma":[0.9986323,0.0001877528,0.0004644917,0.0004780045,0.00009058184,0.0001468572],"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":[3.207961e-7,0.00005996225,0.00002480165,0.1870783,0.00003771738,0.00006147528,0.00008939049,0.006003715,4.674849e-7,0.0002844835,0.001989985,0.8043694],"study_design_scores_gemma":[0.00005751822,0.00004113909,0.00003617203,0.09778408,0.000325119,0.0001247921,0.000008316874,0.0008202481,6.691903e-8,0.0002940837,0.9000685,0.0004399463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000118692,0.9951844,0.001183526,0.0001175226,0.001779963,0.001352803,0.00000672865,0.0001525314,0.0002213034],"genre_scores_gemma":[0.00004584525,0.9971451,0.002278099,0.00001057792,0.0001006628,0.000165954,0.000146701,0.00008931975,0.00001772869],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8980786,"threshold_uncertainty_score":0.999796,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4282978153","doi":"10.1007/s43154-022-00083-8","title":"Graph-Based Multi-Robot Path Finding and Planning","year":2022,"lang":"en","type":"article","venue":"Current Robotics Reports","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Computer science; Motion planning; Scheduling (production processes); Distributed computing; Holonomic; Kinematics; Artificial intelligence; Mathematical optimization; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.06814399243194001,"gpt":0.3155495869602875,"spread":0.2474055945283475,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008293896,0.0002805885,0.0003135448,0.0003333828,0.0007133404,0.000196269,0.0005172035,0.00004706565,0.000007277688],"category_scores_gemma":[0.0001664209,0.0003019102,0.00009832389,0.0006425112,0.00006283093,0.0002282203,0.0007581118,0.0005722114,0.000003287525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178666,"about_ca_system_score_gemma":0.0001906742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008328107,"about_ca_topic_score_gemma":1.660058e-7,"domain_scores_codex":[0.9971781,0.0001402102,0.0005686161,0.0008462617,0.0007124327,0.0005544005],"domain_scores_gemma":[0.9982628,0.0001365692,0.0004553627,0.0008358264,0.00007877721,0.0002306491],"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":[0.00000195567,0.0001697681,0.04266411,0.00003850773,0.00001508824,0.001911872,0.0007200484,0.9453332,0.00007742793,0.0003807817,0.0008149467,0.007872237],"study_design_scores_gemma":[0.0004222998,0.00009600827,0.01463429,0.0001194209,0.00002384138,0.0008844655,0.00007287068,0.9814731,0.00007131729,0.0006032637,0.001086104,0.000512946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004578519,0.001870355,0.9876872,0.0001811437,0.004987195,0.0002693779,0.000004024016,0.0003563561,0.00006586833],"genre_scores_gemma":[0.4692773,0.000009326948,0.5302695,0.0001179824,0.0001085825,0.00006835689,0.00004402177,0.00003417336,0.00007078559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4646988,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043718939","doi":"10.1007/s43154-020-00011-8","title":"Using Deep Learning to Find Victims in Unknown Cluttered Urban Search and Rescue Environments","year":2020,"lang":"en","type":"article","venue":"Current Robotics Reports","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; RGB color model; Detector; Deep learning; Feature (linguistics); Pyramid (geometry); Urban search and rescue; Feature extraction; Identification (biology); Single shot; Rescue robot; Mobile robot; Pattern recognition (psychology); Robot; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.09172285302467226,"gpt":0.3419341077514897,"spread":0.2502112547268174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007387546,0.0001703071,0.0002561065,0.0001158717,0.0001149469,0.0001511469,0.000231758,0.00005699077,0.000003687249],"category_scores_gemma":[0.0002199539,0.0001764993,0.00004222814,0.0004398478,0.00003172377,0.0002200313,0.000494207,0.0003928381,0.00000838056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007642929,"about_ca_system_score_gemma":0.00004522856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002169553,"about_ca_topic_score_gemma":0.00001166585,"domain_scores_codex":[0.9979421,0.0002194036,0.0004288546,0.0006610673,0.0003611089,0.0003874447],"domain_scores_gemma":[0.999209,0.0000602253,0.00007406762,0.0003705503,0.00002378521,0.0002624067],"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":[0.00000607995,0.00005405353,0.2137541,0.00004470832,0.00001077603,0.0003797776,0.003674721,0.6957685,0.002275911,0.0001182821,0.00001686355,0.0838962],"study_design_scores_gemma":[0.0003261041,0.0001164455,0.1807525,0.0001404009,0.00001008557,0.0001301551,0.00004985873,0.8127242,0.001064698,0.0001623321,0.004066798,0.0004564103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3061555,0.0005398688,0.6921533,0.00042376,0.000448757,0.0001902049,2.077827e-7,0.00004651767,0.00004185151],"genre_scores_gemma":[0.91085,0.00005594726,0.08884378,0.000107203,0.00009963248,0.000003524573,0.000003137729,0.00001598479,0.00002082792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6046944,"threshold_uncertainty_score":0.7197433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046098118","doi":"10.1007/s43154-020-00020-7","title":"Social Robotics for Nonsocial Teleoperation: Leveraging Social Techniques to Impact Teleoperator Performance and Experience","year":2020,"lang":"en","type":"article","venue":"Current Robotics Reports","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; University of New Brunswick","funders":"","keywords":"Teleoperation; Leverage (statistics); Robotics; Robot; Artificial intelligence; Human–computer interaction; Social robot; Computer science; Robot control; Mobile robot","retraction":null,"screen_n_in":null,"score":{"opus":0.1157839746725128,"gpt":0.4347297928986512,"spread":0.3189458182261383,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002030882,0.0003216321,0.0004450824,0.00009118503,0.0008880597,0.0002123162,0.0001470641,0.0001893332,0.0001912789],"category_scores_gemma":[0.0001692249,0.0003293286,0.0001975254,0.0003241053,0.0001090069,0.0002404027,0.0001006027,0.0003585974,0.00003111398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625798,"about_ca_system_score_gemma":0.0001526662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000157588,"about_ca_topic_score_gemma":0.000004526822,"domain_scores_codex":[0.9978424,0.00006720177,0.0006501053,0.0006226956,0.000308674,0.0005089107],"domain_scores_gemma":[0.998915,0.0000576091,0.0002715839,0.0001553404,0.0003236504,0.0002767726],"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":[0.0008834918,0.001024778,0.09774485,0.0003612521,0.0004638173,0.0001747017,0.2697824,0.003994601,0.003721124,0.01345483,0.2905828,0.3178113],"study_design_scores_gemma":[0.006209945,0.00475919,0.2805445,0.0004967537,0.001064779,0.001234881,0.02967111,0.01517578,0.009115358,0.001297137,0.6408611,0.009569419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.808347,0.0004337463,0.1438961,0.02712401,0.009626162,0.004219903,0.00005358869,0.001140285,0.005159145],"genre_scores_gemma":[0.992169,0.00001497808,0.002881836,0.001104036,0.003317473,0.000228354,0.00003849594,0.00005409488,0.0001917665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3502783,"threshold_uncertainty_score":0.9999159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3153323711","doi":"10.1007/s43154-021-00053-6","title":"Ethics of Corporeal, Co-present Robots as Agents of Influence: a Review","year":2021,"lang":"en","type":"review","venue":"Current Robotics Reports","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Embodied cognition; Robot; Leverage (statistics); Modalities; Human–robot interaction; Set (abstract data type); Human–computer interaction; Artificial intelligence; Computer science; Engineering ethics; Sociology; Engineering; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.3049950350388748,"gpt":0.5589395080336259,"spread":0.2539444729947511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006299806,0.0005268328,0.00370062,0.0001907208,0.0003814582,0.0001045391,0.0007025752,0.001169269,0.0001904081],"category_scores_gemma":[0.01658663,0.0004870373,0.001379323,0.001081402,0.001140568,0.0002192397,0.0003035932,0.002298486,0.00001378045],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660564,"about_ca_system_score_gemma":0.01089865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180805,"about_ca_topic_score_gemma":0.0001233338,"domain_scores_codex":[0.9913933,0.001655355,0.002937511,0.000669267,0.002741947,0.0006026165],"domain_scores_gemma":[0.9890311,0.001186334,0.005226944,0.001126739,0.002952886,0.0004760485],"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":[0.000001930197,0.000965444,0.0001977384,0.3091148,0.0007809678,0.0007785205,0.006210212,0.0003873777,2.910527e-7,0.05399898,0.0394102,0.5881535],"study_design_scores_gemma":[0.00003463478,0.00003182203,0.000005177644,0.1571104,0.001135669,0.00003228936,0.00006852151,5.061038e-7,6.931017e-7,0.002752388,0.8384676,0.0003603385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002562999,0.9826037,0.00002666625,0.0007834527,0.001926879,0.001499391,0.00004203604,0.00003390682,0.01308139],"genre_scores_gemma":[0.00003576647,0.9985259,0.0001886372,0.0001295024,0.0003160114,0.00003429643,0.00029551,0.00005534728,0.000418993],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7990574,"threshold_uncertainty_score":0.9997581,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040426486","doi":"10.1007/s43154-020-00013-6","title":"From Humans and Back: a Survey on Using Machine Learning to both Socially Perceive Humans and Explain to Them Robot Behaviours","year":2020,"lang":"en","type":"article","venue":"Current Robotics Reports","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Perception; Robot; Artificial intelligence; Social robot; Computer science; Human–robot interaction; Human–computer interaction; Psychology; Mobile robot; Robot control","retraction":null,"screen_n_in":null,"score":{"opus":0.1461640304797946,"gpt":0.3376490664626854,"spread":0.1914850359828908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006547653,0.0003477264,0.0004341688,0.0001199351,0.0004789645,0.0005219693,0.000396825,0.00008767547,0.00004283994],"category_scores_gemma":[0.0004432561,0.0003628363,0.00006912669,0.0004411237,0.00007107432,0.0003106963,0.0006587857,0.0004268617,0.00005104243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001202143,"about_ca_system_score_gemma":0.0001348552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002159134,"about_ca_topic_score_gemma":0.001250834,"domain_scores_codex":[0.9970087,0.0002429783,0.0006073978,0.001118548,0.000496493,0.0005259133],"domain_scores_gemma":[0.998327,0.0001881974,0.0002533579,0.0004925161,0.0001645967,0.0005743165],"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":[0.00009350787,0.0005425153,0.4552743,0.00007614296,0.00009867497,0.001153057,0.1155394,0.3810896,0.0102078,0.003579745,0.001839583,0.0305057],"study_design_scores_gemma":[0.0009149398,0.002677588,0.4572271,0.001432095,0.0002888766,0.0001846008,0.004953151,0.5049458,0.01118228,0.007169738,0.003635458,0.005388388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6589366,0.0001686388,0.3383563,0.001164085,0.0006584261,0.0004939006,0.0000168132,0.0001251781,0.00007999281],"genre_scores_gemma":[0.9679074,0.00003430534,0.03120354,0.000442429,0.0002345772,0.000009057262,0.00004566905,0.00004670841,0.00007633169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3089708,"threshold_uncertainty_score":0.9998823,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}