{"meta":{"query_hash":"bfe8e7975f0e","filters":{"venue":"Journal of Automation and Control Engineering"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/bfe8e7975f0e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Automation+and+Control+Engineering"},"results":[{"id":"W2603921715","doi":"10.12720/joace.3.4.270-276","title":"EMG Based Control of a Robotic Exoskeleton for Shoulder and Elbow Motion Assist","year":2015,"lang":"en","type":"article","venue":"Journal of Automation and Control Engineering","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Exoskeleton; Elbow; Physical medicine and rehabilitation; Motion (physics); Computer science; Powered exoskeleton; Medicine; Artificial intelligence; Anatomy","score_opus":0.011868017654296629,"score_gpt":0.25120051237984214,"score_spread":0.23933249472554552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603921715","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":[0.52943563,0.00083859666,0.46287784,0.00032122442,0.00012123385,0.00032651203,0.00010238114,0.0009739319,0.0050026285],"genre_scores_gemma":[0.96869105,0.00017982276,0.028363107,0.00006086846,0.000019185576,0.00012837035,0.000039941813,0.000010033248,0.0025075348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988174,0.000035476252,0.000015106251,0.000023979746,0.000034111163,0.000009500255],"domain_scores_gemma":[0.999889,0.000037814785,0.00002355222,0.000010623554,0.000029913563,0.000009030008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003184003,0.0003174401,0.00019023131,0.00014701553,0.00008942145,0.00016471719,0.0002442526,0.0002577276,0.0009870036],"category_scores_gemma":[0.00042619306,0.00009640319,0.00016235156,0.00004441361,0.00015745699,0.00015010452,0.00022767116,0.00012248184,0.00013644503],"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":[0.000568381,0.0002857183,0.0013593503,0.00050302176,0.00006488685,0.0004898022,0.0001786075,0.031710878,0.81295913,0.0007147741,0.0005342723,0.15063111],"study_design_scores_gemma":[0.00062371243,0.010240352,0.05201541,0.00015209794,0.00022205168,0.0024573691,0.00022704688,0.6055558,0.31139547,0.001628341,0.015392609,0.00008974369],"about_ca_topic_score_codex":0.00027493498,"about_ca_topic_score_gemma":0.00043265356,"teacher_disagreement_score":0.0009870036,"about_ca_system_score_codex":0.000048376263,"about_ca_system_score_gemma":0.000113837945,"threshold_uncertainty_score":0.0033017993},"labels":[],"label_agreement":null}]}