{"meta":{"query_hash":"c1a0eeefedc5","filters":{"venue":"International Journal of Emerging Engineering and Technology"},"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/c1a0eeefedc5","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Emerging+Engineering+and+Technology"},"results":[{"id":"W4411407833","doi":"10.57041/cf3geg55","title":"Integration of Hand Gesture and Voice Command Control for Smart Wheelchairs","year":2024,"lang":"en","type":"article","venue":"International Journal of Emerging Engineering and Technology","topic":"Gaze Tracking and Assistive Technology","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":"Memorial University of Newfoundland","funders":"Government College University, Lahore","keywords":"Wheelchair; Gesture; Gesture recognition; Computer science; Human–computer interaction; Control (management); Assistive technology; Independence (probability theory); Limit (mathematics); Architecture; Artificial intelligence","score_opus":0.006327302762683061,"score_gpt":0.24311639675827112,"score_spread":0.23678909399558806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411407833","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13920017,0.0025183614,0.8363053,0.00032089715,0.0003409508,0.0002811987,0.00013276606,0.008891499,0.012008784],"genre_scores_gemma":[0.8556763,0.0006327639,0.13339858,0.00021091035,0.00008084422,0.00020555203,0.0001396787,0.00011129498,0.009544101],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99930274,0.0000723509,0.000055991197,0.00014257318,0.00035997044,0.00006632324],"domain_scores_gemma":[0.99961877,0.00007191,0.000030771906,0.00005306368,0.00019348251,0.00003199403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037739857,0.00047995924,0.00047897614,0.00063742016,0.00020072568,0.00058761414,0.00069381867,0.0005419447,0.002513416],"category_scores_gemma":[0.0010696235,0.00022847683,0.0002327057,0.00019463025,0.00024074821,0.0011159759,0.0010949794,0.00030035223,0.0006292474],"study_design_candidate":"bench_or_experimental","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":[0.00060888584,0.00021171177,0.0028702216,0.00034202196,0.00008022847,0.00044089544,0.00036369747,0.0044460865,0.41049615,0.0037388154,0.0020172542,0.574384],"study_design_scores_gemma":[0.0002475423,0.002716607,0.0209809,0.0003113199,0.00044138785,0.0037796723,0.00031458167,0.42906597,0.46624902,0.0063156853,0.06923198,0.00034534684],"about_ca_topic_score_codex":0.0018956115,"about_ca_topic_score_gemma":0.0019783531,"teacher_disagreement_score":0.002513416,"about_ca_system_score_codex":0.00020289872,"about_ca_system_score_gemma":0.0003891072,"threshold_uncertainty_score":0.008408189},"labels":[],"label_agreement":null},{"id":"W4411407887","doi":"10.57041/z5e98x92","title":"A Robust Framework for 2D Human Face Reconstruction from Half-Frontal Views in Low-Quality Surveillance Footage","year":2024,"lang":"en","type":"article","venue":"International Journal of Emerging Engineering and Technology","topic":"Face recognition and analysis","field":"Computer Science","cited_by":1,"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 du Québec à Trois-Rivières","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Preprocessor; Face (sociological concept); Histogram; Similarity (geometry); Facial recognition system; Pattern recognition (psychology); Transformation (genetics); Image (mathematics)","score_opus":0.025154806709656218,"score_gpt":0.2978540750755847,"score_spread":0.2726992683659285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411407887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004023738,0.00021462681,0.9944429,0.000040941304,0.000020923919,0.000043138632,0.00009081987,0.00058263127,0.00054020935],"genre_scores_gemma":[0.093400046,0.0009235694,0.90191185,0.00011754353,0.00007872392,0.00013722718,0.000946622,0.00026678172,0.0022177147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929404,0.00010134896,0.000024611361,0.00016391926,0.00034145435,0.00007455115],"domain_scores_gemma":[0.99964404,0.00007725068,0.000048547976,0.0000781724,0.00011985674,0.00003209358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007230896,0.0010007027,0.00091447955,0.001319646,0.00032464968,0.0010582629,0.0012327031,0.0008473514,0.00285791],"category_scores_gemma":[0.0016239563,0.0005232647,0.0012830158,0.0006919417,0.0004692347,0.0007916394,0.001199003,0.0011072863,0.0018420962],"study_design_candidate":"bench_or_experimental","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":[0.00029866808,0.00011490224,0.0013945088,0.00031311717,0.00015211508,0.00046686546,0.0002238804,0.1352138,0.10215199,0.0068279216,0.0071059302,0.74573636],"study_design_scores_gemma":[0.000014086172,0.00011215978,0.0015217238,0.000042846386,0.000037398666,0.0010683145,0.000082278435,0.9638684,0.023224456,0.0035620877,0.006421148,0.00004517714],"about_ca_topic_score_codex":0.0047914116,"about_ca_topic_score_gemma":0.0058943564,"teacher_disagreement_score":0.0047914116,"about_ca_system_score_codex":0.000363791,"about_ca_system_score_gemma":0.0008840683,"threshold_uncertainty_score":0.009560704},"labels":[],"label_agreement":null},{"id":"W7127961354","doi":"10.57041/ijeet.v1i2.795","title":"Modern Trends in Manufacturing of Medium Voltage Switchgears","year":2022,"lang":"","type":"article","venue":"International Journal of Emerging Engineering and Technology","topic":"Power System Reliability and Maintenance","field":"Engineering","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":"University of Waterloo","funders":"","keywords":"Switchgear; Preventive maintenance; Electrical equipment; Shut down; Production (economics); Trouble shooting; Maintenance engineering; Voltage","score_opus":0.004838093495666291,"score_gpt":0.21596621128990606,"score_spread":0.21112811779423976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127961354","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.222666,0.42168826,0.108290136,0.018812925,0.0022861923,0.00029429008,0.0010080868,0.0007401419,0.22421402],"genre_scores_gemma":[0.54736036,0.32367295,0.08325531,0.0021056633,0.0023054786,0.00013562576,0.0013650255,0.0001561859,0.03964337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99906975,0.00008817447,0.0000706052,0.000258405,0.00043762423,0.000075514334],"domain_scores_gemma":[0.99809307,0.0003592226,0.0003692808,0.00014476175,0.0008826504,0.00015100877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010542882,0.00044605805,0.00021608475,0.0024417741,0.00045032977,0.0018748555,0.0009987325,0.00081902434,0.0041639716],"category_scores_gemma":[0.0014552909,0.00031225628,0.00039577283,0.0026808695,0.0006595109,0.0017983939,0.00072506553,0.0011960047,0.0015903679],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033589973,0.00026705535,0.02022595,0.00319562,0.000058706304,0.0010741772,0.0010200912,0.008005459,0.06007513,0.1196422,0.022058958,0.7640408],"study_design_scores_gemma":[0.000018464705,0.000761423,0.034793727,0.00087137794,0.000054976485,0.00478121,0.001007909,0.00613241,0.026015762,0.02300276,0.90245277,0.00010718688],"about_ca_topic_score_codex":0.0016784869,"about_ca_topic_score_gemma":0.0018815866,"teacher_disagreement_score":0.0041639716,"about_ca_system_score_codex":0.0018191248,"about_ca_system_score_gemma":0.0010747055,"threshold_uncertainty_score":0.0139299035},"labels":[],"label_agreement":null}]}