{"meta":{"query_hash":"38c59d84a560","filters":{"venue":"Automation"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/38c59d84a560","api":"https://metacan.xera.ac/api/v1/cohort?venue=Automation"},"results":[{"id":"W4212903060","doi":"10.3390/automation3010007","title":"A Multipurpose Wearable Sensor-Based System for Weight Training","year":2022,"lang":"en","type":"article","venue":"Automation","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Support vector machine; Artificial intelligence; Computer science; Linear discriminant analysis; Activity recognition; Wearable computer; Machine learning; Random forest; Inertial measurement unit; Perceptron; Decision tree; Accelerometer; Multilayer perceptron; Classifier (UML); Pattern recognition (psychology); Artificial neural network","score_opus":0.04210137497059739,"score_gpt":0.25486585630346653,"score_spread":0.21276448133286913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212903060","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":[0.054649975,0.000038670176,0.94060725,0.0008316952,0.0010143638,0.00087735645,0.00002670647,0.0011397995,0.00081418274],"genre_scores_gemma":[0.98065215,1.4207538e-7,0.018117534,0.00016692707,0.00006632307,0.0007648179,0.00001878479,0.000013631457,0.00019967247],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863464,0.00022819695,0.00026563607,0.0003203501,0.00033409905,0.00021710638],"domain_scores_gemma":[0.99897337,0.00033915427,0.00020169212,0.00033397932,0.0001009684,0.00005081086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070437655,0.000106075364,0.00017031503,0.00017447743,0.0004429231,0.0001315943,0.00032505245,0.000032987642,0.000021029955],"category_scores_gemma":[0.00004908448,0.00011869411,0.00009080299,0.0003540064,0.000008777627,0.00046220238,0.00007418393,0.000086945816,0.000049828188],"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":[0.00008568649,0.0003587361,0.0005460643,0.00063287525,0.00012868068,0.000045505243,0.014739946,0.014627511,0.022791125,0.014898953,0.0044063684,0.92673856],"study_design_scores_gemma":[0.00095321384,0.0000886346,0.00026562248,0.000048008857,0.000007173056,0.0000492667,0.00076146214,0.9811843,0.0023674727,0.00009083571,0.014020045,0.00016398808],"about_ca_topic_score_codex":0.00004220101,"about_ca_topic_score_gemma":0.0000039559027,"teacher_disagreement_score":0.9665568,"about_ca_system_score_codex":0.0002574498,"about_ca_system_score_gemma":0.00013806637,"threshold_uncertainty_score":0.48402053},"labels":[],"label_agreement":null},{"id":"W4290997055","doi":"10.3390/automation3030023","title":"Scientometric Analysis for Cross-Laminated Timber in the Context of Construction 4.0","year":2022,"lang":"en","type":"article","venue":"Automation","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Context (archaeology); Citation; Scopus; Automation; Computer science; Data science; Engineering; Architectural engineering; Geography; World Wide Web; Political science; Mechanical engineering","score_opus":0.015428990623484339,"score_gpt":0.2745642789252828,"score_spread":0.25913528830179844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290997055","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":[0.98400015,0.000016022126,0.014534018,0.0000255893,0.00041644552,0.00020050329,0.000049077087,0.00006470334,0.0006935136],"genre_scores_gemma":[0.99828976,0.0000012699647,0.0014254802,0.000026780082,0.000014390471,0.00012513471,0.00009313374,0.0000045289053,0.000019536068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993873,0.00004044263,0.0002723975,0.00007087709,0.00015334538,0.00007559083],"domain_scores_gemma":[0.9996355,0.00007707701,0.0000733436,0.00011601516,0.00009381337,0.0000042228535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005922325,0.000045351364,0.000097407225,0.0011016533,0.000107880354,0.000033803295,0.00009593121,0.000021562824,0.00020452373],"category_scores_gemma":[0.00004504465,0.000042350573,0.000041600306,0.0050769644,0.000041250267,0.00010822515,0.000010802626,0.00004220692,0.0000018442325],"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":[0.000049167917,0.00005285229,0.08904506,0.0001896488,0.0005832464,0.0000013056729,0.004156675,0.6868482,0.034245465,0.09473458,0.0014497304,0.08864407],"study_design_scores_gemma":[0.00096616655,0.00006192397,0.15430263,0.0000050887347,0.00015292477,0.000019422934,0.003344956,0.81627876,0.019081334,0.0011507402,0.004433016,0.0002030353],"about_ca_topic_score_codex":0.000011952461,"about_ca_topic_score_gemma":0.000002680426,"teacher_disagreement_score":0.12943058,"about_ca_system_score_codex":0.00006502402,"about_ca_system_score_gemma":0.000012359774,"threshold_uncertainty_score":0.24393131},"labels":[],"label_agreement":null},{"id":"W4403869526","doi":"10.3390/automation5040031","title":"Capacity Constraint Analysis Using Object Detection for Smart Manufacturing","year":2024,"lang":"en","type":"article","venue":"Automation","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ontario Centre of Innovation; University of Windsor","keywords":"Constraint (computer-aided design); Computer science; Object (grammar); Artificial intelligence; Manufacturing engineering; Computer vision; Engineering; Mechanical engineering","score_opus":0.031650019673483465,"score_gpt":0.25599751483479594,"score_spread":0.22434749516131247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403869526","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":[0.5665519,0.000028466417,0.43141055,0.0000026687446,0.0009608107,0.0001746166,0.000009857022,0.00064761005,0.00021349259],"genre_scores_gemma":[0.9991554,0.000001429991,0.00054390106,0.0000028589484,0.0002204261,0.000029097757,0.000010873916,0.000018250512,0.000017777598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936014,0.000023457225,0.00023166255,0.00014404072,0.00010817254,0.00013250133],"domain_scores_gemma":[0.9997575,0.00006496487,0.000025875994,0.00009730901,0.00002573103,0.000028608829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029841924,0.000100694764,0.00014156383,0.00038697835,0.000097321536,0.0001339755,0.00002490447,0.00012158257,0.000024204523],"category_scores_gemma":[0.000018978813,0.00009953476,0.00015871684,0.00037458388,0.000008525422,0.0002111902,0.0000038625553,0.000092396156,0.000017945104],"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":[0.000014353985,0.000009394302,0.000085064545,0.0005568262,0.0012149675,0.0000038434455,0.00079017796,0.4007953,0.24024493,0.00024614,0.00014716067,0.35589182],"study_design_scores_gemma":[0.000081479164,0.000015856223,0.00072160974,0.00003165522,0.00017767808,0.000010267911,0.000034163848,0.803164,0.19461323,0.000106029845,0.0009461595,0.00009786846],"about_ca_topic_score_codex":0.00010537837,"about_ca_topic_score_gemma":0.000057172907,"teacher_disagreement_score":0.43260345,"about_ca_system_score_codex":0.00021057593,"about_ca_system_score_gemma":0.000009988922,"threshold_uncertainty_score":0.40589097},"labels":[],"label_agreement":null},{"id":"W4414062405","doi":"10.3390/automation6030043","title":"Real-Time Safety Alerting System for Dynamic, Safety-Critical Environments","year":2025,"lang":"en","type":"article","venue":"Automation","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Software deployment; Android (operating system); Bluetooth; Reliability (semiconductor); Key (lock); System safety; Architecture; Systems architecture","score_opus":0.003446967848464855,"score_gpt":0.22308703411870737,"score_spread":0.21964006627024252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414062405","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":[0.011226386,0.000062662504,0.9708945,0.00024922471,0.00047159867,0.00041454568,0.000034323966,0.0028067285,0.013840011],"genre_scores_gemma":[0.9940649,0.000040136885,0.005308174,0.000014307795,0.000015893705,0.00005224428,0.000097632925,0.000020371095,0.00038633792],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992882,0.000015317217,0.0003041191,0.00012668624,0.000084807914,0.00018085442],"domain_scores_gemma":[0.99964285,0.00013312684,0.000024057968,0.00016721697,0.000015917309,0.0000168178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014171962,0.00010305247,0.00013591554,0.000102103324,0.000131664,0.000023727323,0.00009539593,0.00012686275,0.000016326114],"category_scores_gemma":[0.00011088268,0.00011021791,0.000042750155,0.00012596637,0.00002637996,0.000118031145,0.000022473941,0.000051176867,0.00007459217],"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":[0.0001237454,0.00009289584,0.00066146016,0.0040115146,0.00032420512,0.000007837082,0.0007584416,0.14251086,0.21723872,0.35953936,0.004708897,0.27002206],"study_design_scores_gemma":[0.0003031596,0.000010802384,0.002316563,0.00013016032,0.000025587286,0.0000013371715,0.0001376137,0.976557,0.016648993,0.00045428885,0.003290788,0.00012370406],"about_ca_topic_score_codex":0.0000029895552,"about_ca_topic_score_gemma":0.0000010566841,"teacher_disagreement_score":0.9828385,"about_ca_system_score_codex":0.00032246948,"about_ca_system_score_gemma":0.000008562207,"threshold_uncertainty_score":0.4494556},"labels":[],"label_agreement":null},{"id":"W7014419150","doi":"","title":"Partner Country Canada at HANNOVER MESSE 2025: The Future’s Here","year":2024,"lang":"en","type":"other","venue":"Automation","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Agency (philosophy); Context (archaeology); Developed country","score_opus":0.008059774263143268,"score_gpt":0.2660438605143838,"score_spread":0.25798408625124053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014419150","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050237904,0.0049890364,0.0000010151572,0.027184494,0.0026485114,0.00022405712,0.00081676996,0.00011910486,0.9639668],"genre_scores_gemma":[0.0016059694,0.00032610376,0.0000034586167,0.0039924714,0.0031959414,0.000022206681,0.000046011563,0.00008695987,0.99072087],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99900913,0.00006183618,0.0001036062,0.00016807433,0.00043370383,0.00022367081],"domain_scores_gemma":[0.99956167,0.000028991964,0.0001252497,0.0001983108,0.00001755601,0.00006822613],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014028087,0.000116169016,0.00010736776,0.000028132128,0.00018355966,0.00008208679,0.0001929993,0.00018638949,0.0041341837],"category_scores_gemma":[0.00003276594,0.00008943976,0.000030256628,0.0002323315,0.00008250402,0.00004462155,0.000023036584,0.00012587395,0.00059682375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.469504e-7,0.0000012792751,0.000007835915,0.00002729288,0.000020631462,0.000008017966,0.0006798813,6.229486e-7,2.0355239e-7,0.03722975,0.9611704,0.0008535409],"study_design_scores_gemma":[0.000033857144,0.0000013024203,0.00026588776,0.00007547836,0.00002039579,8.405863e-7,0.0002360281,0.000017504824,8.37525e-7,0.00032736445,0.9988996,0.000120898316],"about_ca_topic_score_codex":0.98933727,"about_ca_topic_score_gemma":0.99982744,"teacher_disagreement_score":0.037729207,"about_ca_system_score_codex":0.00070277974,"about_ca_system_score_gemma":0.0014226958,"threshold_uncertainty_score":0.99677616},"labels":[],"label_agreement":null},{"id":"W7110056374","doi":"10.3390/automation6040088","title":"AutoMCA: A Robust Approach for Automatic Measurement of Cranial Angles","year":2025,"lang":"en","type":"article","venue":"Automation","topic":"Temporomandibular Joint Disorders","field":"Health Professions","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":"Artificial Intelligence in Medicine (Canada)","funders":"Hong Kong Polytechnic University","keywords":"Thresholding; Robustness (evolution); Photogrammetry; Segmentation; Limiting; Rotation (mathematics); Pearson product-moment correlation coefficient; Image segmentation","score_opus":0.07299226011115904,"score_gpt":0.37339456070718163,"score_spread":0.3004023005960226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110056374","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":[0.14103277,0.00031122414,0.8268859,0.0025095071,0.0008906763,0.0054336996,0.000039176026,0.0010488939,0.021848159],"genre_scores_gemma":[0.92290395,0.0000035873186,0.07525874,0.00021436583,0.00005498519,0.00095902954,0.00008916748,0.00002418479,0.0004919697],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810857,0.0002880956,0.00072932953,0.00023955852,0.00033154438,0.0003029316],"domain_scores_gemma":[0.99883974,0.00020804886,0.00034978963,0.00032001475,0.00024443702,0.000037951875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011721184,0.00014617013,0.0003260013,0.00024293277,0.00042026755,0.000007987199,0.00015719763,0.000183802,0.000073027135],"category_scores_gemma":[0.0004994696,0.0001361691,0.00010303752,0.00032679678,0.00003934349,0.00013478566,0.00004880972,0.00014983444,0.000016308755],"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":[0.00066457334,0.0035060914,0.07778875,0.045748863,0.0018030744,0.0000027732117,0.033275325,0.007853394,0.040793844,0.17124523,0.47477967,0.14253841],"study_design_scores_gemma":[0.0058022495,0.00017545251,0.22073704,0.0011316007,0.00027576947,7.719309e-7,0.0046016485,0.7524932,0.0008201492,0.006724476,0.006850358,0.0003872999],"about_ca_topic_score_codex":0.000058813635,"about_ca_topic_score_gemma":0.000037498725,"teacher_disagreement_score":0.7818712,"about_ca_system_score_codex":0.00018551237,"about_ca_system_score_gemma":0.00039403824,"threshold_uncertainty_score":0.55528146},"labels":[],"label_agreement":null}]}