{"meta":{"query_hash":"119662bce30c","filters":{"venue":"2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM)"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/119662bce30c","api":"https://metacan.xera.ac/api/v1/cohort?venue=2022+10th+RSI+International+Conference+on+Robotics+and+Mechatronics+%28ICRoM%29"},"results":[{"id":"W4318811821","doi":"10.1109/icrom57054.2022.10025275","title":"Marker Correspondence Initialization in an IR Motion Capturing System","year":2022,"lang":"en","type":"article","venue":"2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","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 Laval","funders":"National Science Foundation","keywords":"Initialization; Robustness (evolution); Computer science; Artificial intelligence; Computer vision; Graph theory; Graph; Motion capture; Pattern recognition (psychology); Motion (physics); Mathematics; Theoretical computer science","score_opus":0.036845003045808115,"score_gpt":0.29440985350240995,"score_spread":0.2575648504566018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318811821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012542053,0.00011658865,0.98323685,0.00070781034,0.001105072,0.00030206938,0.00003859553,0.00017709465,0.0017738905],"genre_scores_gemma":[0.9871489,0.00016894311,0.011941137,0.00025776098,0.000038970236,0.000055087963,0.00007527393,0.000016554524,0.00029739263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810266,0.00017370905,0.00033840182,0.0005384531,0.000578175,0.00026857725],"domain_scores_gemma":[0.99913895,0.000049123853,0.00018649906,0.0003471696,0.00019146009,0.00008676688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005708646,0.00018505975,0.00018109912,0.0003539912,0.00023458494,0.0002557141,0.0008364342,0.000058174897,0.000103160855],"category_scores_gemma":[0.000039915452,0.0002056238,0.00004322788,0.00031319584,0.000029224291,0.000735034,0.00058225193,0.00039685372,0.000006765385],"study_design_candidate":"theoretical_or_conceptual","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":[0.00006152243,0.000099759956,0.0003039998,0.000016745003,0.000010526326,0.000043392545,0.00031412803,0.012739128,0.0029519445,0.96769077,0.000046432007,0.01572166],"study_design_scores_gemma":[0.00064868684,0.0004802417,0.0006900291,0.000105808984,0.0000087509425,0.000065655826,0.0009775428,0.9685255,0.003988871,0.022910146,0.0011747532,0.00042398917],"about_ca_topic_score_codex":0.000030495963,"about_ca_topic_score_gemma":0.000019440868,"teacher_disagreement_score":0.9746068,"about_ca_system_score_codex":0.00044968934,"about_ca_system_score_gemma":0.00013206314,"threshold_uncertainty_score":0.8385095},"labels":[],"label_agreement":null},{"id":"W4320058641","doi":"10.1109/icrom57054.2022.10025279","title":"Consensus-based Networked Tracking in Presence of Heterogeneous Time-Delays","year":2022,"lang":"en","type":"article","venue":"2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM)","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":17,"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 Waterloo","funders":"","keywords":"Computer science; Distributed computing; Wireless sensor network; Multilateration; Latency (audio); Transmission (telecommunications); Distributed algorithm; Scheme (mathematics); Real-time computing; Computer network; Node (physics)","score_opus":0.02425770115999809,"score_gpt":0.25471184213712716,"score_spread":0.23045414097712907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320058641","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46899635,0.0014760598,0.50339985,0.010892491,0.006016925,0.0013355216,0.00023510613,0.0003656582,0.0072820513],"genre_scores_gemma":[0.98953944,0.00009036501,0.009648675,0.0002946007,0.000032633554,0.00002606786,0.00004350643,0.000021362903,0.00030333738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975289,0.0002090989,0.0004947333,0.00060509826,0.0007404913,0.00042165167],"domain_scores_gemma":[0.99865067,0.00027427508,0.00030870741,0.00046805787,0.00019774419,0.00010055965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005466736,0.00023497685,0.00030354704,0.00030256045,0.0001778661,0.00012072317,0.0012273014,0.00007674517,0.00020195384],"category_scores_gemma":[0.000040872375,0.00026391514,0.00009609948,0.00036635224,0.00008650912,0.000081010534,0.0006246627,0.0004945918,0.0000060275015],"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":[0.000046245674,0.00015191804,0.000107702544,0.000006143526,0.000025145371,0.000035783833,0.00009494762,0.77630997,0.0017081555,0.2184746,0.00010504533,0.0029343711],"study_design_scores_gemma":[0.0006657188,0.00027553295,0.00004275026,0.000061201936,0.0000074840323,0.000023643595,0.000051534273,0.99467903,0.0013442754,0.0021161754,0.00048381984,0.00024885463],"about_ca_topic_score_codex":0.00004190338,"about_ca_topic_score_gemma":0.00004563196,"teacher_disagreement_score":0.5205431,"about_ca_system_score_codex":0.00019111254,"about_ca_system_score_gemma":0.00024032261,"threshold_uncertainty_score":0.9999813},"labels":[],"label_agreement":null},{"id":"W4320058705","doi":"10.1109/icrom57054.2022.10025351","title":"A Wearable RFID-Based Navigation System for the Visually Impaired","year":2022,"lang":"en","type":"article","venue":"2022 10th RSI International Conference on Robotics and Mechatronics (ICRoM)","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":5,"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":"Visually impaired; Computer science; Wearable computer; Human–computer interaction; Embedded system; Computer vision","score_opus":0.06222110376031543,"score_gpt":0.30823486833690106,"score_spread":0.24601376457658564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320058705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63065594,0.00039226885,0.23023131,0.070951365,0.03208731,0.0074885897,0.0053513865,0.0010695304,0.02177227],"genre_scores_gemma":[0.99640673,0.000048983886,0.00028561993,0.0007699779,0.00008382687,0.00026018606,0.000068364236,0.00002625916,0.0020500538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983139,0.00011689816,0.00029438589,0.00044665235,0.000538164,0.0002900032],"domain_scores_gemma":[0.9988025,0.0004716427,0.00021935508,0.0002707483,0.00015882995,0.00007696679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000214667,0.00018392252,0.00016251652,0.00013112741,0.0010028838,0.00024227556,0.00049143273,0.0000464498,0.0003636512],"category_scores_gemma":[0.00010617761,0.00015969125,0.00012905407,0.00015578986,0.000052890984,0.00013571381,0.00013743158,0.00040800942,0.000023437633],"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":[0.00029622327,0.00019149201,0.000012970143,0.000030164454,0.000046495064,0.000013397883,0.00021945608,0.07501443,0.12435611,0.7976246,0.00082416425,0.0013705158],"study_design_scores_gemma":[0.0011046436,0.000599058,0.000016865466,0.000070205315,0.000055270153,0.00007995876,0.0022465654,0.9231006,0.049486864,0.0024853987,0.020465763,0.0002888208],"about_ca_topic_score_codex":0.000038607093,"about_ca_topic_score_gemma":0.000012495319,"teacher_disagreement_score":0.8480862,"about_ca_system_score_codex":0.00032446277,"about_ca_system_score_gemma":0.00024031267,"threshold_uncertainty_score":0.7713473},"labels":[],"label_agreement":null}]}