{"meta":{"query_hash":"98434425649b","filters":{"topic":"Advanced Sensor and Control Systems"},"cohort_total":257,"direct_labels_cover":0,"predictions_cover":257,"exported":257,"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/98434425649b","api":"https://metacan.xera.ac/api/v1/cohort?topic=Advanced+Sensor+and+Control+Systems"},"results":[{"id":"W1484726263","doi":"10.3968/6404","title":"Using Genetic Algorithm to Optimize Parameters of Support Vector Machine and Its Application in Material Fatigue Life Prediction","year":2015,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Support vector machine; Generalization; Reliability (semiconductor); Genetic algorithm; Sensitivity (control systems); Correlation coefficient; Algorithm; Mean squared error; Computer science; Artificial intelligence; Machine learning; Engineering; Mathematics; Statistics","score_opus":0.016378959588253576,"score_gpt":0.2935562519645723,"score_spread":0.2771772923763187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484726263","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":[0.94463164,0.04280169,0.0068603624,0.00006238946,0.003998739,0.001129906,0.000046198955,0.00009703291,0.00037204832],"genre_scores_gemma":[0.94759977,0.0010464136,0.051169604,0.00003251429,0.00008196091,0.000048190832,0.000004697669,0.00001244904,0.0000043881428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99689186,0.000063107094,0.00076296466,0.0007099439,0.00085078087,0.00072132173],"domain_scores_gemma":[0.99919736,0.0001204313,0.00016692783,0.00018484419,0.000106816115,0.00022361198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009315209,0.00029788073,0.00047648817,0.0006902972,0.000113653245,0.00007134778,0.0006682949,0.00008323441,0.0000024559745],"category_scores_gemma":[0.0003356191,0.00024775145,0.000034334327,0.0030810416,0.0005886347,0.003554398,0.00011137329,0.0003016202,0.0000012688245],"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":[0.00006683261,0.000020650257,0.0067497976,0.000046682944,0.0000019412923,0.0000059126023,0.0003503122,0.8949248,0.01858293,0.00016765011,8.856196e-7,0.0790816],"study_design_scores_gemma":[0.0009795042,0.00019797635,0.008574066,0.00014849957,0.0000051223583,0.000026557145,0.00059473957,0.97905606,0.008556282,0.0010977404,0.00031254604,0.000450923],"about_ca_topic_score_codex":0.0001961183,"about_ca_topic_score_gemma":0.0005059903,"teacher_disagreement_score":0.08413124,"about_ca_system_score_codex":0.0003965504,"about_ca_system_score_gemma":0.00012361404,"threshold_uncertainty_score":0.9999975},"labels":[],"label_agreement":null},{"id":"W1512510458","doi":"","title":"A Microcomputer Based Current Awareness Service","year":2012,"lang":"en","type":"article","venue":"Purdue e-Pubs (Purdue University System)","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Service (business); Microcomputer; Computer science; Business; Telecommunications; Engineering; Marketing; Electrical engineering","score_opus":0.010267834190214034,"score_gpt":0.1842282739482937,"score_spread":0.17396043975807965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512510458","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":[0.4109397,0.0061165835,0.5418579,0.00025340097,0.009670643,0.0024004076,0.00038919807,0.0044761924,0.02389596],"genre_scores_gemma":[0.99800515,0.000011911492,0.0009183903,0.00004370035,0.0006386843,0.0000059001604,0.000059471768,0.00006262572,0.0002541759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981145,0.00014558404,0.0002953744,0.00033014873,0.00031094434,0.00080340845],"domain_scores_gemma":[0.99869037,0.00010554498,0.00009036406,0.0005307456,0.00017258027,0.00041039268],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026738952,0.00038468736,0.0005050147,0.00025708647,0.0002237547,0.00005563649,0.00045970065,0.00016445914,0.000028389928],"category_scores_gemma":[0.0000050889557,0.00042942757,0.00018425826,0.0005126165,0.000026296631,0.0006242418,0.000079269696,0.00027846423,0.00051845773],"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":[0.0016912649,0.0024470373,0.15946665,0.058634922,0.003269954,0.0011742637,0.022882195,0.5077684,0.06919252,0.040999774,0.05211609,0.08035694],"study_design_scores_gemma":[0.0034078574,0.00003416179,0.0054780394,0.0009318905,0.00019561044,0.000106607244,0.002394451,0.13170819,0.0017114072,0.0000061745145,0.8526882,0.0013374331],"about_ca_topic_score_codex":0.00014335988,"about_ca_topic_score_gemma":0.000052347008,"teacher_disagreement_score":0.8005721,"about_ca_system_score_codex":0.00061769004,"about_ca_system_score_gemma":0.000053580683,"threshold_uncertainty_score":0.99981576},"labels":[],"label_agreement":null},{"id":"W1580211226","doi":"10.5006/c2007-07267","title":"Intelligent Pipeline Monitoring System","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Pipeline (software); Computer science; Petroleum engineering; Engineering; Operating system","score_opus":0.01090363950347966,"score_gpt":0.22948422771709628,"score_spread":0.21858058821361662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580211226","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":[0.030321758,0.00060912484,0.8648346,0.0000028914897,0.0014145451,0.00008995328,5.661201e-7,0.0009843349,0.1017422],"genre_scores_gemma":[0.9973855,0.0000093102035,0.0008976878,0.0000032312066,0.0005601559,0.0000023810808,5.089449e-7,0.000020260626,0.0011209807],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994066,0.000003282232,0.00020717712,0.000075545446,0.00009783648,0.00020957061],"domain_scores_gemma":[0.999735,0.00002992934,0.0000098343235,0.00013385291,0.000022062166,0.00006934674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013003749,0.00008545711,0.00010857102,0.000042749023,0.000022720395,0.000010853762,0.000060575105,0.000036701513,0.00000991112],"category_scores_gemma":[0.0000041549883,0.00007497924,0.000034161938,0.00007515728,0.0000039661463,0.00004361949,0.0000061625146,0.00006519025,0.00015051164],"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":[0.000063396474,0.000045619716,0.010658832,0.0007980912,0.00017603183,0.00025059082,0.0010426515,0.2738244,0.21970893,0.021816341,0.0017341964,0.4698809],"study_design_scores_gemma":[0.0009316676,0.000047302517,0.0027018078,0.00028624554,0.00003469958,0.000121131336,0.009998947,0.29236734,0.60432625,0.000073207935,0.08815773,0.0009536726],"about_ca_topic_score_codex":0.000011597313,"about_ca_topic_score_gemma":0.0000058279943,"teacher_disagreement_score":0.9670637,"about_ca_system_score_codex":0.00009326303,"about_ca_system_score_gemma":0.0000011482939,"threshold_uncertainty_score":0.30575645},"labels":[],"label_agreement":null},{"id":"W1894817340","doi":"10.3968/j.sss.1923018420140501.4041","title":"Conception of Spirit of Daqing Going out","year":2014,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"National Spirit; Connotation; Patriotism; Value (mathematics); Soul; Courage; Aesthetics; Sociology; Consciousness; Soft power; Cliché; Doctrine; China; Meaning (existential); Power (physics); Environmental ethics; Law; Political science; Epistemology; Philosophy; Politics","score_opus":0.038805264175879386,"score_gpt":0.33491790952207245,"score_spread":0.2961126453461931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894817340","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":[0.99270606,0.0014047758,0.0027778277,0.000020111052,0.00044912554,0.00004993417,0.0000010445399,0.0000129113405,0.0025782227],"genre_scores_gemma":[0.99931204,0.0000956625,0.00054254476,0.0000053821154,0.000029079563,0.0000023310527,7.7184716e-8,0.0000025043253,0.0000103544635],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.99940205,0.000023345578,0.00025594977,0.00009268467,0.00009155479,0.00013439015],"domain_scores_gemma":[0.99956274,0.00016872492,0.000082237704,0.000094933865,0.000081734004,0.000009605954],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000557221,0.000049803413,0.00027713622,0.000057784822,0.000034752436,2.9261778e-7,0.00013229251,0.000030535855,0.0000010083077],"category_scores_gemma":[0.00029085146,0.000044946224,0.000024310573,0.00009726861,0.009374405,0.00006312112,0.000036459947,0.000054380183,9.700725e-7],"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":[0.000008762328,0.000013098753,0.024811763,0.00034720497,0.000041923275,3.524103e-7,0.09775276,0.04035185,0.823411,0.008985429,0.00004142731,0.004234461],"study_design_scores_gemma":[0.004554619,0.0011658318,0.07837919,0.0017046422,0.00007643242,0.000007433355,0.5440151,0.109737486,0.2228674,0.035035107,0.0013955894,0.001061179],"about_ca_topic_score_codex":0.0000033557394,"about_ca_topic_score_gemma":0.000006678567,"teacher_disagreement_score":0.60054356,"about_ca_system_score_codex":0.00003076559,"about_ca_system_score_gemma":0.000007259914,"threshold_uncertainty_score":0.99332154},"labels":[],"label_agreement":null},{"id":"W1983373423","doi":"10.1109/icnsc.2010.5461580","title":"Humidity measurement in harsh industrial environments","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"University of Guelph","funders":"","keywords":"Hygrometer; Relative humidity; Humidity; Wet-bulb temperature; Water vapor; Environmental science; Temperature measurement; System of measurement; SIGNAL (programming language); Computer science; Automotive engineering; Electrical engineering; Electronic engineering; Engineering; Meteorology; Physics; Thermodynamics","score_opus":0.02961170065050548,"score_gpt":0.1899757151986088,"score_spread":0.16036401454810334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983373423","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":[0.9645457,0.000045144872,0.0043444247,0.000032010845,0.0017116101,0.0002745751,0.0000030132924,0.00015538279,0.028888127],"genre_scores_gemma":[0.99951494,0.000002881682,0.000071842514,0.000011591286,0.00017687962,0.000010851454,9.0859714e-7,0.000010648354,0.00019946035],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944663,0.000008811117,0.0001353181,0.000083421604,0.00017919144,0.0001466113],"domain_scores_gemma":[0.9998019,0.000006919526,0.000008439509,0.00013676405,0.000003052929,0.00004292499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013959396,0.0000738598,0.00009410327,0.000027517744,0.000013009032,0.000008574664,0.00006278232,0.00007631482,0.00019007146],"category_scores_gemma":[0.000017962859,0.000069065645,0.000020106305,0.000034711935,0.00000845268,0.00006255554,0.0000072056782,0.00022367756,0.00008242822],"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":[0.000011220716,0.000052484236,0.010768061,0.0000072677453,0.000023859815,0.000007754024,0.00007757972,0.010740627,0.95927423,0.00035313965,0.0011558885,0.017527869],"study_design_scores_gemma":[0.008224455,0.00008066711,0.06056081,0.000044351866,0.0000244743,0.000011262505,0.00021734221,0.03985977,0.23045407,0.0008797368,0.6584294,0.0012136969],"about_ca_topic_score_codex":0.000031748434,"about_ca_topic_score_gemma":0.00032479214,"teacher_disagreement_score":0.7288202,"about_ca_system_score_codex":0.000051699193,"about_ca_system_score_gemma":0.0000033378838,"threshold_uncertainty_score":0.28164154},"labels":[],"label_agreement":null},{"id":"W1987633367","doi":"10.4028/www.scientific.net/amm.52-54.1670","title":"Adaptive Force/Position Control Law of Nonlinear Robotic System","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nonlinear system; Control theory (sociology); Position (finance); Robot; Adaptive control; Position tracking; Control engineering; Tracking (education); Tracking error; Control (management); Engineering; Computer science; Robot manipulator; Law; Artificial intelligence; Physics; Political science","score_opus":0.009547242195861253,"score_gpt":0.17090103146664468,"score_spread":0.16135378927078342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987633367","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":[0.019648245,0.00014425848,0.9697611,0.0000015711931,0.0007121617,0.00069620943,0.00010190277,0.00022709327,0.00870748],"genre_scores_gemma":[0.99608994,0.000013049074,0.0037107333,0.000017789906,0.00007930861,0.000046099623,0.00000742124,0.000028402288,0.0000072806984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937487,0.000012805651,0.00027008494,0.00011717801,0.00007151905,0.00015357506],"domain_scores_gemma":[0.9997156,0.000014124938,0.00006656733,0.00013160141,0.000026802916,0.00004524979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110830246,0.00012733067,0.00034539937,0.000024525405,0.00003237382,0.0000107210435,0.000051954357,0.00007871539,0.000010901726],"category_scores_gemma":[8.842534e-7,0.00011684551,0.000023586057,0.00002636968,0.000007793933,0.000041811698,0.000010891002,0.000028811985,0.000009168673],"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":[0.000052943407,0.0000048400248,2.9289016e-8,0.00010868076,0.000034120283,0.000001403615,0.00008304173,0.00025101646,0.4051939,0.59418356,0.0000015389666,0.00008495636],"study_design_scores_gemma":[0.0024212603,0.00020297304,0.000005571008,0.00014526454,0.00019280786,0.000028580507,0.00089882256,0.038902957,0.9205953,0.036084812,0.00009232283,0.00042932975],"about_ca_topic_score_codex":0.000033485016,"about_ca_topic_score_gemma":0.000004135438,"teacher_disagreement_score":0.9764417,"about_ca_system_score_codex":0.0000183131,"about_ca_system_score_gemma":0.0000026796563,"threshold_uncertainty_score":0.47648218},"labels":[],"label_agreement":null},{"id":"W1989782223","doi":"10.1155/2013/516412","title":"Advanced Sensor Technology and Applications in Industrial Control System","year":2013,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Honor; Computer science; Cover (algebra); Field (mathematics); China; Work (physics); Control (management); Quality (philosophy); Engineering management; Political science; Internet privacy; Artificial intelligence; Law; Engineering","score_opus":0.004722627210185765,"score_gpt":0.20304982917923048,"score_spread":0.19832720196904471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989782223","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":[0.43380696,0.0015912872,0.56081456,0.0005123781,0.0017237216,0.0007722813,0.0001611026,0.00020357472,0.00041414826],"genre_scores_gemma":[0.998808,0.00006764575,0.0003203116,0.00001822725,0.0006936094,0.00003412841,0.000023624669,0.000022615131,0.000011815971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998631,0.000040528113,0.00070946413,0.00013103383,0.00023820958,0.00024977865],"domain_scores_gemma":[0.9989687,0.00016513332,0.00023348446,0.0001257749,0.0003998875,0.0001070055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011030793,0.00017776086,0.0003754267,0.0003492385,0.00003248141,0.0000632802,0.00025916018,0.00021195959,0.000010970144],"category_scores_gemma":[0.00005305534,0.000161477,0.00007376033,0.00030377312,0.000049480346,0.00021385915,0.000018851031,0.00047976492,0.000006584157],"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":[0.00010204372,0.000045536366,0.017183803,0.000015568328,0.00034464023,0.00009197324,0.000027928798,0.95370793,0.0041699805,0.0017156192,0.00034844078,0.022246506],"study_design_scores_gemma":[0.02072565,0.0002706607,0.020398965,0.000874414,0.00016344203,0.0020715168,0.0061682095,0.91835684,0.00089011516,0.0009266119,0.027995497,0.0011580716],"about_ca_topic_score_codex":0.000007599001,"about_ca_topic_score_gemma":0.0000033522183,"teacher_disagreement_score":0.5650011,"about_ca_system_score_codex":0.00021905005,"about_ca_system_score_gemma":0.00001349192,"threshold_uncertainty_score":0.6584841},"labels":[],"label_agreement":null},{"id":"W2006419680","doi":"10.1115/detc2009-86856","title":"Bearing Fault Diagnosis Based on Embedded Multiple Sensors","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"Queen's University","funders":"","keywords":"Bearing (navigation); Acceleration; Fault (geology); Computer science; SIGNAL (programming language); Vibration; Condition monitoring; Data collection; Fault detection and isolation; Real-time computing; State (computer science); Electronic engineering; Engineering; Artificial intelligence; Electrical engineering; Acoustics; Actuator","score_opus":0.008873285267051395,"score_gpt":0.21442118826624884,"score_spread":0.20554790299919745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006419680","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":[0.7939531,0.00015170813,0.07458573,0.00028392515,0.0006336412,0.00060667866,0.000014764941,0.0027416858,0.12702875],"genre_scores_gemma":[0.998029,0.0000071232503,0.0012494746,0.00026390702,0.000103688624,0.00001684451,0.000003978239,0.000022902495,0.00030306727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925846,0.000013879121,0.00016677288,0.00015836398,0.00014826878,0.00025427763],"domain_scores_gemma":[0.999509,0.00013136999,0.000013675173,0.00024607292,0.000018253433,0.000081655184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004274617,0.00015203688,0.00017364547,0.00006642551,0.00004499389,0.0000306597,0.000075987955,0.00006248056,0.00006408594],"category_scores_gemma":[0.000045900968,0.00013750124,0.00007330093,0.00010153574,0.000005715979,0.000064778236,0.0000027620672,0.000111367845,0.00012067324],"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":[0.000012563521,0.000026501626,0.0011006936,0.000008456892,0.0000091952015,0.00001170609,0.00007638384,0.9809122,0.00671445,0.000120567885,0.00058123685,0.010426057],"study_design_scores_gemma":[0.0007810553,0.00006248051,0.0023710302,0.00002675832,0.0000063601024,0.0000012940168,0.00010897563,0.97601444,0.015829157,0.000033346354,0.00452848,0.00023664268],"about_ca_topic_score_codex":0.000011794282,"about_ca_topic_score_gemma":0.0000073313345,"teacher_disagreement_score":0.20407589,"about_ca_system_score_codex":0.000043162458,"about_ca_system_score_gemma":0.000002234104,"threshold_uncertainty_score":0.56071377},"labels":[],"label_agreement":null},{"id":"W2007016819","doi":"10.2316/journal.203.2007.3.203-3766","title":"REMOTE DIAGNOSIS SYSTEM OF HYDRO-GENERATOR SETS BASED ON WAVELET-NEURAL NETWORK","year":2007,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MATLAB; Artificial neural network; Generator (circuit theory); Computer science; Wavelet packet decomposition; Wavelet; Network packet; Real-time computing; Decomposition; Artificial intelligence; Wavelet transform; Computer network; Operating system","score_opus":0.0056072476088668,"score_gpt":0.21381707500345115,"score_spread":0.20820982739458435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007016819","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":[0.64809334,0.01117731,0.2852916,0.00020402994,0.034495216,0.00019460655,0.00008621119,0.00019141794,0.020266233],"genre_scores_gemma":[0.9985037,0.00005110755,0.00021183265,0.00006427244,0.0010778203,0.0000015076139,0.0000031504326,0.00002889627,0.000057725407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829704,0.000053462096,0.0007876907,0.00010767011,0.00054145826,0.00021269957],"domain_scores_gemma":[0.99898374,0.00019284949,0.0002882567,0.00012368517,0.00027870314,0.00013276964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044959865,0.00017045414,0.00037097023,0.0002019984,0.000029710238,0.000040129897,0.0002104807,0.0000885366,0.000005535087],"category_scores_gemma":[0.000022086728,0.0001423071,0.00013705296,0.00009123953,0.00002063094,0.00010470971,0.000011707075,0.00012292714,0.0000012506678],"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":[0.00018608349,0.000026148671,0.0012609153,0.00006716864,0.0003246091,0.00028582674,0.00009705731,0.9856465,0.0016680352,0.0014927577,0.001341531,0.0076034097],"study_design_scores_gemma":[0.002033851,0.0003307198,0.0013877435,0.0013173277,0.000047838996,0.0007036353,0.0003445159,0.9515411,0.002981898,0.000032601198,0.038910426,0.0003683335],"about_ca_topic_score_codex":0.000086631735,"about_ca_topic_score_gemma":0.000011241289,"teacher_disagreement_score":0.35041034,"about_ca_system_score_codex":0.00013691594,"about_ca_system_score_gemma":0.00001375988,"threshold_uncertainty_score":0.5803115},"labels":[],"label_agreement":null},{"id":"W2035652761","doi":"10.4028/www.scientific.net/amr.805-806.818","title":"Research on Optimization Technology of Electromagnetic Transformer","year":2013,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Janet D. Cottrelle Foundation; National Natural Science Foundation of China","keywords":"Transformer; Ant colony optimization algorithms; Software; Engineering; Visual Basic; Voltage; Computer science; Electronic engineering; Electrical engineering; Algorithm; Programming language","score_opus":0.02667516720791578,"score_gpt":0.33364348665459703,"score_spread":0.30696831944668124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035652761","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":[0.97509277,0.0005491246,0.0069162054,0.00026431447,0.00023959158,0.0015468781,0.00001624362,0.0002764628,0.015098404],"genre_scores_gemma":[0.9955182,0.00045316422,0.0029917674,0.00000404251,0.00006421589,0.00046267375,0.000009207158,0.000056342287,0.0004403927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99774045,0.00020224575,0.00036941806,0.00025236,0.0006289031,0.0008065968],"domain_scores_gemma":[0.9986929,0.00022562934,0.000021205295,0.00042025285,0.00056337035,0.00007658336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007123218,0.0001367911,0.00029452262,0.00079298514,0.000117637996,0.000042774125,0.0003031222,0.00016097917,0.0006887257],"category_scores_gemma":[0.00010571224,0.00012470907,0.0000254488,0.0010177325,0.00019007447,0.00020517851,0.000020767555,0.0003725495,0.0003030499],"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":[0.000047995563,0.000023530185,0.0000017541588,0.00009592307,0.000011228178,0.0000018844713,0.000035682904,0.073593065,0.9159371,0.0021224103,0.00013409734,0.007995314],"study_design_scores_gemma":[0.0005610256,0.00064501894,0.00004308844,0.00007599636,0.0000017011895,0.00000411439,0.00034715864,0.0025267028,0.99055845,0.0039047988,0.0011957799,0.00013616732],"about_ca_topic_score_codex":0.000037092257,"about_ca_topic_score_gemma":0.000003880404,"teacher_disagreement_score":0.074621335,"about_ca_system_score_codex":0.00010555785,"about_ca_system_score_gemma":0.000022682272,"threshold_uncertainty_score":0.7541063},"labels":[],"label_agreement":null},{"id":"W2037650264","doi":"10.1007/s12404-010-0121-x","title":"The integrated monitoring system for running parameters of key mining equipment based on condition monitoring technology","year":2010,"lang":"en","type":"article","venue":"Journal of Coal Science and Engineering (China)","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Demodulation; SIGNAL (programming language); Key (lock); Digital signal processing; Computer science; Signal processing; State (computer science); Computer hardware; Real-time computing; Host (biology); Data acquisition; Keying; Embedded system; Electronic engineering; Engineering; Telecommunications","score_opus":0.006585446524756042,"score_gpt":0.2279701816853577,"score_spread":0.22138473516060167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037650264","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":[0.9482749,0.00016731353,0.0485789,0.000054110744,0.002688101,0.00011615552,0.0000018713873,0.000066571105,0.00005203941],"genre_scores_gemma":[0.9929884,0.000012652662,0.0068042167,6.8447883e-7,0.00016559822,0.000009590496,1.4117431e-7,0.000015993583,0.0000026868172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988939,0.000005269266,0.00034960176,0.00010301986,0.00035426643,0.00029394],"domain_scores_gemma":[0.99931633,0.00014397046,0.00015034724,0.00013248043,0.00016402811,0.00009286519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008672754,0.0001367706,0.00023494939,0.0003036978,0.00019237542,0.00007863856,0.0002506034,0.00006764503,1.5887399e-7],"category_scores_gemma":[0.00021778277,0.0000990771,0.000053868887,0.00031513083,0.00008980754,0.00021233509,0.00001378202,0.00032156444,1.4028682e-7],"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":[0.000022932383,0.0000042231186,0.0012885655,0.00006638078,0.00001644618,0.0000036093952,0.00013476529,0.5462662,0.44787744,0.00012817013,0.0000028676905,0.004188402],"study_design_scores_gemma":[0.0007856524,0.0003554834,0.008937565,0.001015932,0.000031976917,0.00007222336,0.0013646515,0.7438726,0.24279502,0.000019349587,0.00053618394,0.0002133653],"about_ca_topic_score_codex":0.0000028983795,"about_ca_topic_score_gemma":3.8380182e-7,"teacher_disagreement_score":0.20508242,"about_ca_system_score_codex":0.00012483055,"about_ca_system_score_gemma":0.00004009823,"threshold_uncertainty_score":0.4040247},"labels":[],"label_agreement":null},{"id":"W2038752763","doi":"10.4028/www.scientific.net/amm.351-352.1289","title":"Analysis and Experimental Study of Concrete Strength Detection","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"Ministry of Transportation of Ontario","funders":"","keywords":"Bridge (graph theory); Ultrasonic sensor; Structural engineering; Test method; Engineering; Computer science; Acoustics; Mathematics","score_opus":0.004718517085362714,"score_gpt":0.19420025232762692,"score_spread":0.1894817352422642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038752763","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":[0.98776925,0.00008120277,0.011583828,4.0239863e-7,0.0000885246,0.00034232813,0.000006818024,0.000042505504,0.000085170206],"genre_scores_gemma":[0.9996988,0.000017211745,0.00016775583,0.0000030257277,0.000020890171,0.00007522425,0.0000023971797,0.000010787743,0.000003893515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995755,0.000009776993,0.00017111936,0.000106068896,0.00005485254,0.00008266465],"domain_scores_gemma":[0.99982023,0.000010979041,0.000035194367,0.000090474416,0.000010197895,0.00003291601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005175187,0.00008529116,0.0002451911,0.000050898525,0.000025387097,0.000027095928,0.000022746768,0.0000336031,0.000031740063],"category_scores_gemma":[0.0000010259923,0.00007735131,0.000011033151,0.000059390593,0.0000032504,0.000035763613,0.000016576332,0.000016755128,0.0000016349302],"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":[0.00000839476,0.0000062989384,0.0000028148597,0.000013194068,0.00014306248,1.6834552e-7,0.0002628943,0.000040612,0.99720407,0.001441108,6.834563e-7,0.00087668747],"study_design_scores_gemma":[0.00074550917,0.00013919215,0.00012266269,0.0000021357887,0.00013634958,9.473954e-7,0.0030643032,0.003404168,0.99170494,0.00054190704,0.000015764168,0.00012213015],"about_ca_topic_score_codex":0.0001047271,"about_ca_topic_score_gemma":0.000009749469,"teacher_disagreement_score":0.011929594,"about_ca_system_score_codex":0.000005844105,"about_ca_system_score_gemma":5.633315e-7,"threshold_uncertainty_score":0.31542948},"labels":[],"label_agreement":null},{"id":"W2042147908","doi":"10.1038/519414e","title":"Build reward system for ace technicians","year":2015,"lang":"en","type":"letter","venue":"Nature","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital","funders":"","keywords":"Business","score_opus":0.006522435811609994,"score_gpt":0.22445649682169394,"score_spread":0.21793406101008395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042147908","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009168145,0.11602413,0.09711047,0.576137,0.0547298,0.009965807,0.0053181956,0.018258147,0.12236477],"genre_scores_gemma":[0.14243162,0.0001390027,0.008918101,0.6651133,0.11413568,0.0016258701,0.0026111386,0.002203994,0.06282133],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99867994,0.000018750772,0.00024312014,0.00029531258,0.00033729832,0.00042556436],"domain_scores_gemma":[0.9991227,0.000066435496,0.00006707368,0.0005371748,0.00015675856,0.00004987045],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00010439801,0.00035810663,0.0005380109,0.0001049602,0.00004058903,0.000033868415,0.00036675684,0.0074629164,0.000002113219],"category_scores_gemma":[0.0000382166,0.0003221722,0.00018561051,0.000117392185,0.000011742719,0.00004932558,0.000016209164,0.006778871,0.00004223918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055188375,8.9672733e-7,6.2721875e-7,0.0010032378,0.00006501788,0.00007167922,0.000018611328,0.0008782204,0.0002707555,0.000057021654,0.99720657,0.00042181576],"study_design_scores_gemma":[0.00030110576,0.000019168569,3.8241984e-7,0.0002659256,0.000057422872,0.000051470506,0.000031376814,0.0008973626,0.00013765761,0.00007352319,0.9978041,0.00036050018],"about_ca_topic_score_codex":0.0000032762773,"about_ca_topic_score_gemma":0.000004975477,"teacher_disagreement_score":0.14233994,"about_ca_system_score_codex":0.000360988,"about_ca_system_score_gemma":0.000023516981,"threshold_uncertainty_score":0.99992305},"labels":[],"label_agreement":null},{"id":"W2048486472","doi":"10.5539/mas.v2n4p122","title":"Analysis and Design of Storage Battery Charge/Discharge Equalization Management","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equalization (audio); Battery (electricity); Charge cycle; Trickle charging; Charge (physics); Computer data storage; Computer science; Process (computing); Power (physics); Electrical engineering; Voltage; Automotive engineering; Engineering; Telecommunications; Computer hardware; Physics","score_opus":0.016728137602484542,"score_gpt":0.20978578707892345,"score_spread":0.19305764947643891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048486472","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":[0.058787785,0.00009315662,0.93827343,0.000002712311,0.00003771698,0.0001833179,0.0000026476077,0.00007031014,0.0025489158],"genre_scores_gemma":[0.9977349,0.000051725838,0.0020615247,0.000015303778,0.000011684241,0.000019299121,0.0000017116263,0.00000887909,0.00009497177],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999144,0.000008039817,0.00016657506,0.00021181795,0.00027974485,0.00018982719],"domain_scores_gemma":[0.99966866,0.000014886854,0.000035876343,0.0002053402,0.0000201074,0.000055119897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020910267,0.00009094721,0.00017394027,0.0002394646,0.00011490797,0.000014317731,0.00014026227,0.000020046567,0.000009454919],"category_scores_gemma":[0.0000022571646,0.0000873473,0.000021955571,0.0006899244,0.000111531124,0.00012068171,0.000026193238,0.00003403407,0.000006708965],"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":[0.0000061378,0.000010561056,0.00038184228,0.000033465338,0.000054622058,0.000002369626,0.0008600211,0.42944032,0.56596357,0.0011161658,0.000010668253,0.0021202539],"study_design_scores_gemma":[0.00016338861,0.0000048611046,0.0024231095,0.0000033923363,0.00003582767,0.000001354498,0.000035754278,0.98795104,0.009072768,0.00018134847,0.00001840392,0.000108778186],"about_ca_topic_score_codex":0.0000021630271,"about_ca_topic_score_gemma":5.426081e-7,"teacher_disagreement_score":0.93894714,"about_ca_system_score_codex":0.00003045533,"about_ca_system_score_gemma":0.0000052808,"threshold_uncertainty_score":0.356192},"labels":[],"label_agreement":null},{"id":"W2050038522","doi":"10.4028/www.scientific.net/amm.16-19.193","title":"An Engine Dynamic Signal Testing System Based on Virtual Instrument Technology","year":2009,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"Ministry of Transportation of Ontario","funders":"","keywords":"Signal conditioning; Data acquisition; Virtual instrumentation; Computer hardware; Instrumentation (computer programming); Portable computer; Software; SIGNAL (programming language); Field (mathematics); Signal processing; Digital signal processing; Computer science; Instrument Driver; Sampling (signal processing); Virtual instrument; Personal computer; Data processing; Engineering; Embedded system; Power (physics); Electrical engineering; Operating system; Detector","score_opus":0.004625397969363859,"score_gpt":0.1821650122423995,"score_spread":0.17753961427303563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050038522","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":[0.45826688,0.000033144715,0.5387739,0.000027128403,0.0004219052,0.0005311115,0.000046401397,0.0011678132,0.000731742],"genre_scores_gemma":[0.9950725,0.0000033632052,0.0047245836,0.0000488782,0.00006370766,0.0000395498,0.000015670983,0.000029163808,0.0000026046848],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991841,0.000010659005,0.00024633372,0.00020991913,0.00010243835,0.00024655674],"domain_scores_gemma":[0.9996459,0.000019919178,0.000043738994,0.00020861474,0.000016390959,0.00006545891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138985,0.00019004436,0.00028760277,0.00011187464,0.00006354904,0.000043832068,0.0000914097,0.00012598027,0.0000060028137],"category_scores_gemma":[0.0000036311055,0.00017946225,0.0000121398225,0.00010196844,0.0000041858452,0.00003318016,0.000007948151,0.00006677408,0.000008940223],"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":[0.000022594639,0.000012699783,8.9699846e-8,0.000033380267,0.0000063513266,0.0000047346716,0.000009164024,0.012008574,0.81797534,0.14681119,0.0000011519111,0.023114726],"study_design_scores_gemma":[0.0012121374,0.00068284903,0.000011450817,0.000114595015,0.000027453767,0.000020223866,0.00028005728,0.7019318,0.28783205,0.0073517906,0.0001129615,0.00042264196],"about_ca_topic_score_codex":0.0000016498531,"about_ca_topic_score_gemma":5.729178e-7,"teacher_disagreement_score":0.6899232,"about_ca_system_score_codex":0.000059189762,"about_ca_system_score_gemma":0.0000062943586,"threshold_uncertainty_score":0.7318258},"labels":[],"label_agreement":null},{"id":"W2050837171","doi":"10.5539/mas.v4n10p85","title":"Study on the Auto Air Conditioning Controller Testing System Based on Lab Windows/CVI","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Controller (irrigation); Air conditioning; Computer science; Software; Interface (matter); Process (computing); Simulation; Operating system; Engineering; Mechanical engineering","score_opus":0.01516827662262356,"score_gpt":0.21932469049617573,"score_spread":0.20415641387355216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050837171","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":[0.7243109,0.00000657707,0.16457346,0.00008664841,0.00077352865,0.0019946948,0.000013285766,0.0011797932,0.1070611],"genre_scores_gemma":[0.9991538,1.685267e-8,0.00021451707,0.00020337157,0.00012767366,0.0002245369,6.124364e-7,0.00003108695,0.000044374454],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981993,0.000027093827,0.00025514708,0.00041176696,0.00066277705,0.00044390158],"domain_scores_gemma":[0.9987672,0.00045748684,0.00006677071,0.0005298556,0.00007213965,0.00010656674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008666074,0.00022011432,0.0002444346,0.00011245295,0.00066717726,0.00013108538,0.00048491167,0.00004963561,0.0000052983337],"category_scores_gemma":[0.00010565552,0.00015477985,0.00003549998,0.000425414,0.00015165511,0.00008943316,0.000026661346,0.00042826182,0.00010380942],"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":[0.000017633018,0.000039054685,0.00019046674,0.00000913537,0.000007348788,0.0000060208454,0.00041787734,0.45757955,0.5359654,0.0047227344,0.000015136877,0.0010296861],"study_design_scores_gemma":[0.0009715871,0.000060544764,0.0030307139,0.00003060646,0.000008495196,0.0000032830526,0.00080608757,0.9910612,0.0036398633,0.00013926192,0.000052348667,0.00019600282],"about_ca_topic_score_codex":0.000009919301,"about_ca_topic_score_gemma":0.000009738245,"teacher_disagreement_score":0.53348166,"about_ca_system_score_codex":0.00011625361,"about_ca_system_score_gemma":0.00004286696,"threshold_uncertainty_score":0.6311739},"labels":[],"label_agreement":null},{"id":"W2053176118","doi":"10.5539/cis.v2n2p107","title":"Temperature Measurement and Control System Based on Embedded WEB","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Reliability (semiconductor); Embedded system; Control system; Field (mathematics); Web application; Temperature control; Control (management); Mode (computer interface); System of measurement; Control unit; Computer hardware; Operating system; Electrical engineering; Control engineering; Artificial intelligence","score_opus":0.004546410652943559,"score_gpt":0.17866707322101594,"score_spread":0.17412066256807238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053176118","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":[0.09981823,0.00025631863,0.8783336,0.0002206904,0.0009997415,0.0006500941,0.000013208448,0.00060956134,0.019098522],"genre_scores_gemma":[0.99881077,0.00000449454,0.0005387244,0.00059734646,0.00004303011,0.0000025997715,7.130285e-7,0.0000014599458,8.804347e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993311,0.0000074161408,0.00015775445,0.000074505755,0.00030356087,0.00012566197],"domain_scores_gemma":[0.9996761,0.000010638165,0.000023357588,0.00010771017,0.00010628466,0.000075906515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028173393,0.0000801716,0.00009849972,0.00011281651,0.000117351294,0.0001888631,0.000072324314,0.000023896659,4.863278e-7],"category_scores_gemma":[0.0000075700204,0.000063322426,0.000011201655,0.00015022927,0.00003079084,0.0012031066,0.000004286657,0.00005446415,0.0000058275364],"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":[0.00008158571,0.000023927114,0.00026273157,0.00039541713,0.000018034738,0.0000036658403,0.0024659606,0.6880154,0.06422165,0.014975493,0.0013013865,0.22823474],"study_design_scores_gemma":[0.0006672083,0.00006292317,0.003264177,0.00005239499,0.0000018973714,0.000006734192,0.000056929828,0.99411654,0.00038793866,0.0000037532363,0.0012966648,0.00008281432],"about_ca_topic_score_codex":2.0559203e-7,"about_ca_topic_score_gemma":6.924208e-8,"teacher_disagreement_score":0.89899254,"about_ca_system_score_codex":0.000046694335,"about_ca_system_score_gemma":0.00001707731,"threshold_uncertainty_score":0.25822136},"labels":[],"label_agreement":null},{"id":"W2065630111","doi":"10.4028/www.scientific.net/amr.383-390.5268","title":"Analysis of Ramp Estimation Algorithms in Automatic Transmission","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Natural Sciences; McMaster University","keywords":"Acceleration; Automatic transmission; Torque; Transmission (telecommunications); Computer science; Simple (philosophy); Algorithm; Control theory (sociology); Estimation; Simulation; Engineering; Automotive engineering; Artificial intelligence; Control (management); Telecommunications","score_opus":0.0477281627741545,"score_gpt":0.3334626938468257,"score_spread":0.2857345310726712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065630111","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":[0.9368712,0.00024833909,0.06085901,0.000004639765,0.00012415553,0.00038651546,0.000020815463,0.0001285457,0.001356793],"genre_scores_gemma":[0.9886426,0.00010291561,0.011097661,0.0000012710393,0.00001080702,0.000062952415,0.000020194006,0.000022825194,0.00003880607],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985855,0.00013942302,0.00046174947,0.00016814795,0.00031893488,0.00032620842],"domain_scores_gemma":[0.99945444,0.00010383234,0.000036805493,0.00026541314,0.00008056739,0.000058951395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063897914,0.00010858632,0.00041447912,0.00066518487,0.00003027425,0.0000126561445,0.00015580752,0.0000714642,0.00032257615],"category_scores_gemma":[0.00005079053,0.00010038773,0.00004794813,0.0010429502,0.000040869447,0.00020299676,0.0000149390935,0.00009784138,0.000018029257],"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":[0.00004900132,0.00003718584,0.000069947564,0.0002010253,0.000105836254,0.000008714777,0.0010237185,0.096273534,0.7975532,0.00015677,0.0000026684252,0.104518406],"study_design_scores_gemma":[0.00057185837,0.0000621496,0.0060388907,0.00010117827,0.0000440885,0.0000010487682,0.00016434061,0.500999,0.49064022,0.0011656936,0.0000619833,0.00014959916],"about_ca_topic_score_codex":0.000105688036,"about_ca_topic_score_gemma":0.000015979896,"teacher_disagreement_score":0.4047254,"about_ca_system_score_codex":0.00006594031,"about_ca_system_score_gemma":0.0000104047585,"threshold_uncertainty_score":0.4093693},"labels":[],"label_agreement":null},{"id":"W2067546070","doi":"10.1007/s10910-008-9489-x","title":"Multi-objective simultaneous prediction of waterborne coating properties","year":2008,"lang":"en","type":"article","venue":"Journal of Mathematical Chemistry","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Coating; Layer (electronics); Artificial neural network; Reflectivity; Biological system; Materials science; Mean squared prediction error; Algorithm; Acrylate; Composite material; Computer science; Monomer; Mathematics; Artificial intelligence; Optics; Physics","score_opus":0.018182330750631914,"score_gpt":0.20325246749928366,"score_spread":0.18507013674865175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067546070","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":[0.9573578,0.00042442372,0.040590983,0.0000074497434,0.00006485904,0.00006800115,0.0000060680973,0.000045684938,0.0014346787],"genre_scores_gemma":[0.99609625,0.000024937803,0.003536504,0.0000016939658,0.00013813788,0.0000016619358,3.9492198e-7,0.000017561159,0.00018288162],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904805,0.000009497323,0.0005493659,0.00005221446,0.00022029426,0.000120593526],"domain_scores_gemma":[0.99943364,0.00010680379,0.00014651462,0.00009185145,0.00015708143,0.00006410011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010052239,0.00010316303,0.00031458162,0.0000169208,0.00002737073,0.0000047633775,0.00008714205,0.00006994078,0.000019783945],"category_scores_gemma":[0.0003176174,0.00007456059,0.00009249332,0.000043298955,0.000050796327,0.00007597869,0.000008864339,0.00019068524,0.0000033707265],"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":[0.000026357591,0.000070810514,0.00005489572,0.00064031634,0.000070840215,0.00004991307,0.0009453757,0.03291761,0.9649811,0.0000020007549,0.000020765843,0.00022005355],"study_design_scores_gemma":[0.0007203692,0.00004580682,0.00004279146,0.00036230191,0.00003247464,0.001112572,0.0005580618,0.20002884,0.79683244,0.00012416803,0.00004483871,0.0000953347],"about_ca_topic_score_codex":3.7416152e-7,"about_ca_topic_score_gemma":3.8510983e-8,"teacher_disagreement_score":0.16814862,"about_ca_system_score_codex":0.00004962021,"about_ca_system_score_gemma":0.000013722291,"threshold_uncertainty_score":0.30404925},"labels":[],"label_agreement":null},{"id":"W2072259254","doi":"10.5539/cis.v1n3p73","title":"Research of Information System of Monitoring Remote on Distributed Micro-turbine","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shanghai Leading Academic Discipline Project","keywords":"Computer science; Fault (geology); Frame (networking); Gas turbines; Turbine; Vibration; The Internet; Real-time computing; Field (mathematics); Distributed computing; Telecommunications; Mechanical engineering; World Wide Web","score_opus":0.024328117480004668,"score_gpt":0.26536468000330093,"score_spread":0.24103656252329628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072259254","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":[0.6510896,0.000026348067,0.34541914,0.0000063561715,0.0003462028,0.00013824331,0.000016011343,0.000060517315,0.0028975494],"genre_scores_gemma":[0.9979742,0.00002646072,0.001955687,0.0000041197504,0.000031071846,9.331341e-7,0.000004935713,0.00000136039,0.000001185537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990698,0.000010382641,0.00035398774,0.000040874427,0.00038720912,0.0001377131],"domain_scores_gemma":[0.999337,0.00003757383,0.000070032926,0.00014274554,0.00036563404,0.0000469775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038918655,0.00005527281,0.00011376792,0.0003089639,0.00011756995,0.000029335699,0.00014498695,0.000025419731,3.261055e-7],"category_scores_gemma":[0.00002167186,0.00004812059,0.000015052181,0.00057854265,0.00013209593,0.002729929,0.000034031553,0.0000770351,0.00000875307],"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":[0.00012709218,0.000020658235,0.0040349243,0.0024319564,0.000035156107,0.0000020394116,0.020006958,0.70035315,0.03328708,0.011755062,0.00068238226,0.22726357],"study_design_scores_gemma":[0.00054533844,0.0001127405,0.045820016,0.000253377,0.0000015463042,0.000032694108,0.0006816395,0.9032062,0.047484178,0.000010161928,0.0017400307,0.00011205549],"about_ca_topic_score_codex":0.000009255782,"about_ca_topic_score_gemma":2.8123171e-8,"teacher_disagreement_score":0.3468846,"about_ca_system_score_codex":0.000055342243,"about_ca_system_score_gemma":0.000020641815,"threshold_uncertainty_score":0.19791326},"labels":[],"label_agreement":null},{"id":"W2077733077","doi":"10.1504/ijmrs.2015.069036","title":"Design and analysis of an electromechanical actuator for the valve train of a camless internal combustion engine","year":2015,"lang":"en","type":"article","venue":"International Journal of Mechanisms and Robotic Systems","topic":"Advanced Sensor and Control Systems","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":"Ontario Tech University","funders":"","keywords":"Valve timing; Valve actuator; Actuator; Automotive engineering; Internal combustion engine; Mechanical engineering; Engineering; Valve seat; Computer science; Control engineering; Electrical engineering","score_opus":0.02113273915418676,"score_gpt":0.25509863415655354,"score_spread":0.23396589500236678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077733077","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":[0.04126608,0.0010364343,0.9565091,0.000032092372,0.0009430001,0.00018815517,0.000013578236,0.0000078542,0.0000037062825],"genre_scores_gemma":[0.9894496,0.000067398774,0.010321501,0.0000055366118,0.0001240219,0.000006126982,0.0000031944953,0.000013467727,0.000009145028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988108,0.00007452288,0.00057207013,0.000082855586,0.00035688776,0.00010284378],"domain_scores_gemma":[0.99878,0.00030807365,0.00030954633,0.00008060937,0.00042748873,0.000094290735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094025076,0.00011011064,0.00044293454,0.00024043919,0.000017710774,0.000031732383,0.00019795743,0.00006134309,0.0000017271095],"category_scores_gemma":[0.00006734203,0.00007456297,0.00013639759,0.000099618024,0.00001958345,0.00012067445,0.000012282087,0.00008974376,5.8601884e-8],"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":[0.00018939038,0.0000331959,0.000011328299,0.000032892185,0.0026923988,0.0000051579914,0.00051240524,0.9513,0.03428146,0.005850591,0.000008586345,0.0050825924],"study_design_scores_gemma":[0.0011286242,0.0005149272,0.00006312975,0.00009331347,0.00061597227,0.0002051543,0.0008917492,0.9928059,0.002467221,0.0011277184,0.000010580332,0.000075724165],"about_ca_topic_score_codex":0.000026745902,"about_ca_topic_score_gemma":0.0000046297705,"teacher_disagreement_score":0.94818354,"about_ca_system_score_codex":0.000050854545,"about_ca_system_score_gemma":0.000023744056,"threshold_uncertainty_score":0.30405897},"labels":[],"label_agreement":null},{"id":"W2082239523","doi":"10.4028/www.scientific.net/amm.325-326.1162","title":"A Remote Intelligent Control System for Split Air Conditioning System","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Sensor and Control Systems","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":"Chipset; Air conditioning; Control system; Wireless; Intelligent control; Engineering; Control unit; Signal conditioning; Remote control; SIGNAL (programming language); Real-time computing; Embedded system; Wireless sensor network; Computer science; Control engineering; Chip; Electrical engineering; Power (physics); Computer network; Telecommunications; Artificial intelligence","score_opus":0.005619756718290795,"score_gpt":0.1830740897103832,"score_spread":0.1774543329920924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082239523","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":[0.024044232,0.00015395584,0.9707177,0.000013125476,0.0012995084,0.0020275267,0.00013318038,0.00056941976,0.0010413094],"genre_scores_gemma":[0.99584055,0.000012241558,0.003274901,0.000039012655,0.00027449717,0.00043997122,0.00002656458,0.000057579462,0.00003468529],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989471,0.000015965046,0.0004200383,0.00021685271,0.0000937157,0.00030635574],"domain_scores_gemma":[0.999505,0.000059637543,0.00008482297,0.00019876969,0.00005453082,0.00009725783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021639904,0.00020771888,0.0004613447,0.00004512313,0.00010314629,0.00009467493,0.00008179192,0.00011272967,0.000014417586],"category_scores_gemma":[0.0000049421665,0.00019040125,0.000041115025,0.00003447306,0.000005119815,0.000060554885,0.000015406646,0.000039839993,0.00007214544],"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":[0.000023237882,0.0000023013968,3.2907213e-8,0.0009801262,0.00006608132,0.0000011949652,0.000053421976,0.000627882,0.46421605,0.5323319,0.000090478745,0.0016073028],"study_design_scores_gemma":[0.006362277,0.00018978324,0.000009957836,0.00093342917,0.0003369808,0.00014726966,0.0065071597,0.27482805,0.66286767,0.036860276,0.009398952,0.001558205],"about_ca_topic_score_codex":0.00003593748,"about_ca_topic_score_gemma":0.0000011695834,"teacher_disagreement_score":0.97179633,"about_ca_system_score_codex":0.00008599311,"about_ca_system_score_gemma":0.000005066241,"threshold_uncertainty_score":0.7764337},"labels":[],"label_agreement":null},{"id":"W2083800908","doi":"10.5539/cis.v1n1p20","title":"The Design of Switched Reluctance Motor Controller Based on DSP","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Switched reluctance motor; Computer science; Waveform; Reluctance motor; Digital signal processing; Controller (irrigation); Power (physics); Control theory (sociology); Software; Control engineering; Computer hardware; Torque; Control (management); Telecommunications; Artificial intelligence","score_opus":0.010996320981235775,"score_gpt":0.195058406704446,"score_spread":0.18406208572321023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083800908","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":[0.011511212,0.00004992749,0.98635864,0.000029763049,0.00021506185,0.000166568,0.0000013527203,0.000048366514,0.0016191213],"genre_scores_gemma":[0.9970579,0.00003948159,0.002705629,0.00015902033,0.000022776707,0.000005789209,2.3633662e-7,0.0000017341237,0.000007413299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999445,0.000008560607,0.00018690982,0.00004631045,0.000202632,0.00011055265],"domain_scores_gemma":[0.9996057,0.000113086615,0.00004146476,0.000115696304,0.000088318724,0.00003570745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022802675,0.00005551851,0.000081608865,0.00005999519,0.00019101356,0.000035698507,0.00013685139,0.00001404697,6.848187e-7],"category_scores_gemma":[0.000025087527,0.000036025624,0.000014727978,0.00017174815,0.00013058446,0.00089071726,0.000008438792,0.000039942497,0.0000075672174],"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":[0.000060842627,0.0000048356965,0.000120580546,0.000018042436,0.0000045490283,3.5445797e-7,0.0007881098,0.9578146,0.0051427167,0.0022979106,0.0004089754,0.0333385],"study_design_scores_gemma":[0.0003794665,0.000045496556,0.0042331833,0.000008662104,5.8024847e-7,0.0000031848185,0.000010779361,0.99210674,0.0007029602,0.000023331793,0.0024393103,0.000046305733],"about_ca_topic_score_codex":6.260842e-7,"about_ca_topic_score_gemma":3.1573858e-8,"teacher_disagreement_score":0.9855467,"about_ca_system_score_codex":0.0000150942515,"about_ca_system_score_gemma":0.000017886881,"threshold_uncertainty_score":0.14691412},"labels":[],"label_agreement":null},{"id":"W2091190971","doi":"10.5539/mas.v2n4p155","title":"The Design and Implement of Improvement for Pointer MV-meter Display Mode","year":2008,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metre; Computer science; Pointer (user interface); Computer hardware; Gas meter prover; Electrical engineering; Engineering; Physics","score_opus":0.014502203372830376,"score_gpt":0.23439748377323785,"score_spread":0.21989528040040748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091190971","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":[0.06733396,0.000077345896,0.93140066,0.00001921468,0.000070100425,0.0005577163,0.000006560123,0.000029761839,0.00050468836],"genre_scores_gemma":[0.9952417,0.000016923514,0.0044966177,0.000023682118,0.000018410174,0.0001338091,3.9622267e-7,0.000010698617,0.000057752273],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991755,0.0000034328004,0.00018046705,0.00017171053,0.00019375098,0.00027514942],"domain_scores_gemma":[0.9996149,0.00007488968,0.000030079824,0.00020106371,0.000028405142,0.000050680657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025582768,0.0000920691,0.00011231649,0.000028174416,0.00023439461,0.000021673983,0.00018873034,0.000014494567,8.2030596e-7],"category_scores_gemma":[0.0000052297396,0.00006101718,0.000024014307,0.00006350108,0.00014003675,0.000064630454,0.000034272733,0.000035973713,9.539157e-7],"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":[0.000027296715,0.0000052095475,0.000010992047,0.00001207308,0.000007915838,1.8456254e-7,0.00056922284,0.021731058,0.96699595,0.0023748246,0.00004294669,0.008222352],"study_design_scores_gemma":[0.00046406477,0.00004118263,0.00007935283,0.000003004199,0.000004057495,0.0000024287967,0.00006162946,0.8903372,0.10595845,0.0025082303,0.00045203717,0.00008834656],"about_ca_topic_score_codex":0.0000037275965,"about_ca_topic_score_gemma":0.0000043874825,"teacher_disagreement_score":0.92790776,"about_ca_system_score_codex":0.000038203852,"about_ca_system_score_gemma":0.00001449845,"threshold_uncertainty_score":0.24882084},"labels":[],"label_agreement":null},{"id":"W2106357507","doi":"10.5539/cis.v3n4p131","title":"Design and Implementation of the Servo Control System Based on DSP","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signal processing; Servo control; PID controller; Control system; Software; Servo; Control engineering; Control (management); Servomechanism; Servo drive; Controller (irrigation); Digital control; Servomotor; Control theory (sociology); Computer hardware; Temperature control; Engineering; Artificial intelligence; Electronic engineering; Operating system","score_opus":0.004179251138388441,"score_gpt":0.20514599492362548,"score_spread":0.20096674378523705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106357507","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":[0.1405006,0.0000034153059,0.8585154,0.000024840516,0.00034112562,0.00020592663,0.0000026294324,0.000032120963,0.00037395267],"genre_scores_gemma":[0.9981106,6.3810774e-7,0.001760941,0.000106582986,0.00001536006,0.0000040745376,3.1292484e-7,0.0000011551344,3.3832484e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996239,0.000007978176,0.000134041,0.000037265527,0.00012985857,0.00006697714],"domain_scores_gemma":[0.99976057,0.00003271355,0.00003718563,0.00009184018,0.000051586583,0.000026131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023446254,0.000040869327,0.000053574102,0.00005136926,0.00008270146,0.000054592518,0.00007773763,0.000012273421,9.4613847e-7],"category_scores_gemma":[0.000003015306,0.00002735262,0.0000075537278,0.00010862682,0.00004916688,0.00081323716,0.000008854368,0.00003883474,0.000001248465],"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":[0.000019326304,0.000004954659,0.0039231344,0.0002867086,0.000008609842,1.5141148e-7,0.002515086,0.77829015,0.035197347,0.017414728,0.00012952383,0.16221026],"study_design_scores_gemma":[0.0003770581,0.000019191411,0.02102022,0.0000106508405,0.0000015526715,0.0000028039601,0.00006416603,0.97553015,0.0026650252,0.000005236817,0.000270903,0.000033026598],"about_ca_topic_score_codex":0.0000029256394,"about_ca_topic_score_gemma":5.4766844e-7,"teacher_disagreement_score":0.85761,"about_ca_system_score_codex":0.000008312734,"about_ca_system_score_gemma":0.000012538028,"threshold_uncertainty_score":0.11154075},"labels":[],"label_agreement":null},{"id":"W2124070895","doi":"10.5539/cis.v2n1p95","title":"Design of the Closed Loop Speed Control System for DC Motor","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; DC motor; Closed loop; Control theory (sociology); Electronic speed control; Loop (graph theory); Open-loop controller; Control (management); Control engineering; Artificial intelligence; Electrical engineering; Mathematics","score_opus":0.009285322317628745,"score_gpt":0.20252752328968746,"score_spread":0.19324220097205871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124070895","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":[0.015827158,0.000027498796,0.9826968,0.00002392465,0.00035953306,0.00041836075,0.0000048805614,0.000055485303,0.00058638793],"genre_scores_gemma":[0.99756485,0.0000018393107,0.0022731295,0.00011540536,0.000036437676,0.0000025013003,3.1974199e-7,0.0000012775462,0.000004219534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950224,0.0000070150504,0.00020273731,0.00004356473,0.00013657729,0.000107865606],"domain_scores_gemma":[0.9996658,0.000036472375,0.00005049929,0.00011459341,0.00010172322,0.00003089192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022204156,0.000053585132,0.000096342905,0.00005363622,0.00008707506,0.000055881468,0.00015875137,0.000016691407,2.551555e-7],"category_scores_gemma":[0.000010164061,0.00003599603,0.00002157934,0.0001480029,0.000042968495,0.0010907026,0.000006848617,0.000024249424,0.000001984881],"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":[0.000047860016,0.0000063063358,0.0000720276,0.00017352233,0.000010713535,1.01113784e-7,0.0012375978,0.82518613,0.07605945,0.0102673825,0.0002383009,0.0867006],"study_design_scores_gemma":[0.0005520244,0.000042121297,0.0026896382,0.000022066377,0.0000026927842,0.0000039804304,0.00003487156,0.99292594,0.003242941,0.000029231525,0.00040663008,0.000047838235],"about_ca_topic_score_codex":4.194398e-7,"about_ca_topic_score_gemma":1.582391e-8,"teacher_disagreement_score":0.98173773,"about_ca_system_score_codex":0.000022181037,"about_ca_system_score_gemma":0.000013684971,"threshold_uncertainty_score":0.14678755},"labels":[],"label_agreement":null},{"id":"W2134123330","doi":"10.1109/ccece.2011.6030491","title":"Artificial neural network acceleration on FPGA using custom instruction","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":12,"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 Ottawa","funders":"","keywords":"Artificial neural network; Acceleration; Computer science; Field-programmable gate array; Hardware acceleration; Lookup table; Activation function; Hyperbolic function; Feedforward neural network; Speedup; Range (aeronautics); CORDIC; Feed forward; Table (database); Parallel computing; Artificial intelligence; Computer hardware; Control engineering; Engineering; Mathematics; Operating system","score_opus":0.05564060837631172,"score_gpt":0.2285443678432694,"score_spread":0.17290375946695768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134123330","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":[0.9145005,0.000022047507,0.061556302,0.000004050363,0.0017466106,0.0001298951,7.1542e-7,0.00038272553,0.021657206],"genre_scores_gemma":[0.99815446,0.0000014136,0.001002014,0.000028489543,0.0007413982,0.0000033406814,0.0000021400297,0.000018651532,0.000048071663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994941,0.00001329124,0.00016046177,0.00009409179,0.00007410231,0.00016397213],"domain_scores_gemma":[0.99982107,0.0000069503617,0.00001885189,0.000104558065,0.000015710575,0.00003285378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032739074,0.00009039526,0.000091995724,0.0000316698,0.00006811952,0.000018945879,0.00003691662,0.00005172211,0.000078357014],"category_scores_gemma":[0.0000026628854,0.000084257365,0.000030348489,0.000087915614,0.0000073232973,0.0001666456,0.0000040167447,0.0000818698,0.00003717671],"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":[0.000034859117,0.000007378898,0.00026552848,0.000005593122,0.000012824947,0.000002413397,0.00013174313,0.9370497,0.011329823,0.0030666452,0.00010148612,0.047992025],"study_design_scores_gemma":[0.00016999304,0.000038149687,0.0015795017,0.000009330861,0.000010215424,0.000011229534,0.000079946265,0.9830572,0.0133968275,0.00092476327,0.00053591805,0.00018694592],"about_ca_topic_score_codex":0.000034258428,"about_ca_topic_score_gemma":0.00003707376,"teacher_disagreement_score":0.08365403,"about_ca_system_score_codex":0.000037636502,"about_ca_system_score_gemma":0.0000022828392,"threshold_uncertainty_score":0.34359157},"labels":[],"label_agreement":null},{"id":"W2147187114","doi":"10.4028/www.scientific.net/amr.33-37.795","title":"An Intelligent Modeling Method Based on Genetic Programming and Genetic Algorithm","year":2008,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"National Safety Academic Fund","keywords":"Crossover; Genetic programming; Fitness function; Computer science; Genetic algorithm; Algorithm; MATLAB; Parsing; Parse tree; Mathematical optimization; Data mining; Artificial intelligence; Machine learning; Mathematics; Programming language","score_opus":0.0506570872647038,"score_gpt":0.3563161610443745,"score_spread":0.3056590737796707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147187114","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":[0.3907834,0.0005002369,0.60771275,0.000008975595,0.0001752249,0.00053310074,0.000012787473,0.00020199722,0.00007152548],"genre_scores_gemma":[0.71383584,0.00033151027,0.28540695,0.000012637289,0.00015256638,0.0001605251,0.000008568309,0.00006942012,0.000021949762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977172,0.00028883218,0.00038105404,0.0004353033,0.00049100287,0.00068658864],"domain_scores_gemma":[0.999001,0.00013932199,0.000024024344,0.0004711068,0.00014843517,0.0002160835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041130622,0.00022962315,0.00033400458,0.00022455404,0.00024032434,0.000081475606,0.00020693912,0.00009701701,0.000030996598],"category_scores_gemma":[0.00004197391,0.00021995278,0.000030917865,0.0002105291,0.000064338965,0.0001328057,0.000032339052,0.0002111558,0.000027083657],"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":[0.00003683918,0.000022348553,0.000008268104,0.000055634715,0.000008063663,0.000062064806,0.00010441349,0.60476583,0.22484067,0.000012414192,0.0000017339975,0.17008169],"study_design_scores_gemma":[0.00045778663,0.00025801721,0.0000930277,0.00005099415,0.0000043316254,0.0000468312,0.000105557956,0.89991564,0.09800261,0.00030727888,0.0005183497,0.00023959183],"about_ca_topic_score_codex":0.000045926292,"about_ca_topic_score_gemma":0.0000032744774,"teacher_disagreement_score":0.32305247,"about_ca_system_score_codex":0.0000914581,"about_ca_system_score_gemma":0.000024502866,"threshold_uncertainty_score":0.89694136},"labels":[],"label_agreement":null},{"id":"W2147208585","doi":"10.5539/mas.v3n4p209","title":"The Research of Inverter Welding Power Source Based on DSP for Self-shielded Flux-cored Wire","year":2009,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shielded cable; Welding power supply; Welding; Inverter; Digital signal processing; Power (physics); Flux (metallurgy); Materials science; SIGNAL (programming language); Process (computing); Voltage; Software; Electrical engineering; Nuclear engineering; Mechanical engineering; Computer science; Automotive engineering; Arc welding; Engineering; Composite material; Physics; Metallurgy; Filler metal","score_opus":0.022752344202499605,"score_gpt":0.2736830640504999,"score_spread":0.2509307198480003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147208585","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":[0.14858507,0.00010524329,0.8050206,0.00030069996,0.00024116806,0.0012485455,0.0000050905096,0.0003579256,0.04413569],"genre_scores_gemma":[0.99880075,0.0000015945121,0.0008402668,0.00011472898,0.00003880278,0.000046283953,6.49393e-7,0.000016325966,0.0001405874],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983303,0.000017294775,0.00020527867,0.00028305303,0.0006353058,0.00052878197],"domain_scores_gemma":[0.99904996,0.0002751101,0.00003220192,0.00045828253,0.00009712516,0.00008729051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010200238,0.00012209929,0.0001574008,0.0001271022,0.0004589392,0.00008058805,0.00053147256,0.000053981053,0.0000028059208],"category_scores_gemma":[0.0000534111,0.000089713954,0.000046895515,0.0004330967,0.0001698071,0.00007842272,0.000020026744,0.000188015,0.000008753706],"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":[0.00009267398,0.000030485595,0.000011229041,0.000018964585,0.000005826843,5.428812e-7,0.0014079202,0.12510261,0.84740305,0.0028920402,0.0004285803,0.02260609],"study_design_scores_gemma":[0.0004166824,0.00007251657,0.00011716465,0.000016309763,0.0000023721761,4.123902e-7,0.0002014947,0.95442027,0.040205035,0.0031868292,0.0012488656,0.00011204076],"about_ca_topic_score_codex":0.0000021372637,"about_ca_topic_score_gemma":0.0000030065805,"teacher_disagreement_score":0.8502157,"about_ca_system_score_codex":0.000088126064,"about_ca_system_score_gemma":0.000040318795,"threshold_uncertainty_score":0.36584288},"labels":[],"label_agreement":null},{"id":"W2149665219","doi":"10.23919/acc.2004.1384775","title":"Actuator hysteresis identification and compensation using an adaptive search space based genetic algorithm","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Crossover; Hysteresis; Genetic algorithm; Convergence (economics); Compensation (psychology); Control theory (sociology); Algorithm; Pipeline (software); Actuator; Identification (biology); Computer science; Artificial intelligence; Physics; Control (management); Machine learning","score_opus":0.025260155152019487,"score_gpt":0.2453940601129822,"score_spread":0.22013390496096272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149665219","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":[0.37948498,0.00004896335,0.6200983,0.000010395376,0.000046909296,0.00013820984,0.000004302115,0.00009034714,0.00007760738],"genre_scores_gemma":[0.9361478,0.0000026693217,0.06373216,0.000010252551,0.00005321744,0.0000045101788,0.000005926347,0.00001983672,0.000023613406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994285,0.000027035887,0.00013759111,0.00014611353,0.00012631655,0.00013445911],"domain_scores_gemma":[0.99970144,0.000019581685,0.000018258483,0.00014661075,0.000046351663,0.00006775385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000061193525,0.00009258436,0.000103382496,0.00006287299,0.00006157525,0.000047579677,0.00004135815,0.000040616364,0.000008433722],"category_scores_gemma":[0.000003142035,0.000093540766,0.000016786784,0.00008056652,0.000016560043,0.00017523218,0.0000047489066,0.000048437298,0.000010498125],"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":[0.000009662849,0.000019036532,0.0000703571,0.000027226382,0.000018014993,0.0000037207367,0.00030680708,0.7670046,0.21608694,0.00030020482,0.0000013247915,0.016152091],"study_design_scores_gemma":[0.00048833404,0.000031763142,0.0064094192,0.000014886446,0.000011581321,0.00000531224,0.0003887767,0.96811444,0.024245296,0.00015686138,0.000010422452,0.0001229066],"about_ca_topic_score_codex":0.0001573598,"about_ca_topic_score_gemma":0.000037979906,"teacher_disagreement_score":0.5566628,"about_ca_system_score_codex":0.000097383556,"about_ca_system_score_gemma":0.000012249894,"threshold_uncertainty_score":0.38144818},"labels":[],"label_agreement":null},{"id":"W2156787076","doi":"10.5539/mas.v6n6p7","title":"Design of Voltage Regulating Control Device of Improved PID Algorithm for the Vehicle AC Generator Based on DSP","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PID controller; Digital signal processing; Computer science; Generator (circuit theory); Control theory (sociology); Voltage; Controller (irrigation); Debugging; Pulse-width modulation; Digital signal processor; Overvoltage; Algorithm; Power (physics); Control engineering; Control (management); Electrical engineering; Computer hardware; Engineering; Temperature control","score_opus":0.016300562729396277,"score_gpt":0.2238040712420962,"score_spread":0.2075035085126999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156787076","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006732018,0.0001713909,0.99187446,0.000007949884,0.00014122996,0.00078191725,0.00001704545,0.00005526817,0.00021872949],"genre_scores_gemma":[0.97965175,7.226551e-7,0.020035628,0.00006741461,0.00009652246,0.00011548842,5.555489e-7,0.000022047077,0.000009849452],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988754,0.000012939329,0.00026711536,0.00017456147,0.0002879248,0.0003820702],"domain_scores_gemma":[0.99903834,0.00035693301,0.00010160791,0.00034802136,0.000081241,0.000073842966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008151127,0.00013209671,0.00022406987,0.000051802912,0.00014655503,0.000016874343,0.00030287486,0.00004149662,0.000001982198],"category_scores_gemma":[0.000031447376,0.00009743434,0.00004358672,0.0002123428,0.00012447599,0.00010940051,0.000013515417,0.000071896146,0.0000013486854],"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":[0.000017972725,0.000011008302,0.000011954024,0.000013479666,0.0000046656983,1.874983e-8,0.000108959866,0.28064963,0.68480456,0.00010555643,0.000002610119,0.03426959],"study_design_scores_gemma":[0.00064506585,0.000024684743,0.00010981225,0.000007016572,0.000011551462,1.7742836e-7,0.000036725603,0.76466316,0.23433365,0.000060321312,0.00002429449,0.00008357499],"about_ca_topic_score_codex":0.000005218848,"about_ca_topic_score_gemma":6.0624114e-7,"teacher_disagreement_score":0.97291976,"about_ca_system_score_codex":0.000047288067,"about_ca_system_score_gemma":0.00003250748,"threshold_uncertainty_score":0.39732572},"labels":[],"label_agreement":null},{"id":"W2172128184","doi":"10.5539/mas.v4n10p14","title":"Design of Pressure Monitoring and Analysis System Based on Nano-Imprint","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Signal conditioning; Computer science; Data acquisition; Chart; SIGNAL (programming language); Interface (matter); Computer hardware; Software; Linearity; Embedded system; Real-time computing; Electrical engineering; Operating system; Engineering","score_opus":0.00865192864138594,"score_gpt":0.20596897556540641,"score_spread":0.19731704692402047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172128184","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":[0.112052925,0.00003643275,0.8854622,0.0000017679819,0.0001595165,0.00018812004,0.0000028099666,0.00013189336,0.001964317],"genre_scores_gemma":[0.994633,7.393086e-7,0.0052912696,0.0000017261289,0.00002831455,0.00002329125,1.933289e-7,0.000010418508,0.000011015892],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999058,0.0000073977244,0.00015852913,0.0002459945,0.00032333256,0.00020670917],"domain_scores_gemma":[0.99943674,0.000051912146,0.00003900426,0.00035352728,0.00003591793,0.00008287338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033490238,0.000109336266,0.0002090904,0.00017972705,0.000092028655,0.00003748458,0.00021376726,0.000044794677,0.0000014135782],"category_scores_gemma":[0.000007988449,0.00009707677,0.00002672711,0.00043712553,0.00009517736,0.000058048892,0.000018525037,0.00011462805,0.0000019650818],"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":[0.0000043528325,0.0000026606835,0.0002005007,0.00002239414,0.0000112702255,2.2824408e-7,0.00006849521,0.45885906,0.539591,0.00019527793,1.0755526e-7,0.0010446323],"study_design_scores_gemma":[0.00012735711,0.000007237467,0.0012176844,0.000008955018,0.000043295197,4.521699e-7,0.00003223538,0.861824,0.13661593,0.000030366708,0.0000069033026,0.0000856267],"about_ca_topic_score_codex":0.000005705815,"about_ca_topic_score_gemma":8.7171065e-7,"teacher_disagreement_score":0.8825801,"about_ca_system_score_codex":0.000021057373,"about_ca_system_score_gemma":0.0000147881565,"threshold_uncertainty_score":0.3958676},"labels":[],"label_agreement":null},{"id":"W2215785343","doi":"","title":"Guest Editorial on The 21st International Conference on Optical Fiber Sensors (OFS21)","year":2012,"lang":"en","type":"editorial","venue":"Journal of Lightwave Technology","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Honor; Telecommunications; Publication; Pleasure; Library science; Optical fiber; Steering committee; Political science; Engineering; Computer science; Engineering management; Law; Psychology; Internet privacy","score_opus":0.010934145419408072,"score_gpt":0.24527020557818893,"score_spread":0.23433606015878086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2215785343","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000325033,0.00018088675,0.0000537774,0.0013445712,0.9739125,0.0001554706,0.00006974331,0.00016244722,0.023795592],"genre_scores_gemma":[0.029890321,0.0003395643,0.00009662607,0.000013874673,0.96863616,0.000010968845,0.000012427821,0.000079846825,0.0009202266],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99716187,0.00005870401,0.00085725205,0.0002203116,0.0012435352,0.0004583617],"domain_scores_gemma":[0.9973915,0.00086962956,0.0004922642,0.00047432468,0.00065394095,0.000118346485],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00043922075,0.00044743472,0.0007651046,0.0005182574,0.00007238516,0.00006670252,0.00096310786,0.0019002354,0.00018956933],"category_scores_gemma":[0.0009826763,0.00029591026,0.00025071276,0.00015777379,0.00015458942,0.00010965272,0.0000660191,0.0037299253,0.0003917396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012698375,0.00005335757,0.0000013525463,0.000017091286,0.0002974377,0.000052561325,0.00002873067,0.00022443439,0.0010925814,0.0072714332,0.9902795,0.0005545495],"study_design_scores_gemma":[0.00068050844,0.00036433918,0.0000010086844,0.00024014727,0.00006492656,0.00006442851,0.0000991999,0.00006378796,0.0016533696,0.000613114,0.99587125,0.0002839514],"about_ca_topic_score_codex":0.0000012533432,"about_ca_topic_score_gemma":0.0000023397724,"teacher_disagreement_score":0.02956529,"about_ca_system_score_codex":0.0003505251,"about_ca_system_score_gemma":0.00008514364,"threshold_uncertainty_score":0.9999493},"labels":[],"label_agreement":null},{"id":"W2337241952","doi":"","title":"Control System Design of Threshing Separator Based on ARM","year":2016,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Threshing; Overheating (electricity); Clutch; Engineering; Relay; Brake; Control system; Shut down; Electrical engineering; Mechanical engineering","score_opus":0.00675225722344328,"score_gpt":0.2621698277765999,"score_spread":0.2554175705531566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337241952","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":[0.4226641,0.35446736,0.13172707,0.0010400771,0.037831042,0.0071992646,0.00015287873,0.00216661,0.04275157],"genre_scores_gemma":[0.9946771,0.0007432861,0.00426392,0.000077369434,0.00013215598,0.00006294229,6.006579e-7,0.00002173335,0.00002083908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.994948,0.00016111541,0.0009598046,0.00098995,0.0016128372,0.0013282492],"domain_scores_gemma":[0.9973689,0.0015763855,0.000296682,0.00043891653,0.00015341661,0.00016570339],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021128866,0.00049699756,0.00076479366,0.00090053614,0.00031514652,0.00009493658,0.0017190344,0.00011570465,0.000008969431],"category_scores_gemma":[0.0005666244,0.00030282556,0.000119319026,0.003617952,0.0019192293,0.0054436903,0.000059002457,0.0004619819,0.000011920043],"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":[0.00022290148,0.00004565973,0.0048935455,0.00011471595,0.000004353055,0.000026000449,0.00007226504,0.8768084,0.044820663,0.009564361,0.0000060455063,0.06342107],"study_design_scores_gemma":[0.004450995,0.00064072374,0.002657637,0.00236315,0.000012449716,0.00002646149,0.00067951734,0.94902307,0.031729173,0.004304721,0.0027600178,0.0013520996],"about_ca_topic_score_codex":0.000020057649,"about_ca_topic_score_gemma":0.00017176868,"teacher_disagreement_score":0.572013,"about_ca_system_score_codex":0.00081712636,"about_ca_system_score_gemma":0.0001825943,"threshold_uncertainty_score":0.99994236},"labels":[],"label_agreement":null},{"id":"W2341091724","doi":"10.6000/1929-7092.2017.06.13","title":"Prediction of Gas Concentration Based on the Opposite Degree Algorithm","year":2017,"lang":"en","type":"preprint","venue":"Journal of Reviews on Global Economics","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Degree (music); Computation; A priori and a posteriori; Algorithm; Radial basis function; Function (biology); Matrix (chemical analysis); Artificial neural network; Applied mathematics; Basis (linear algebra); Mathematics; Statistics; Computer science; Mathematical optimization; Artificial intelligence; Chemistry; Physics; Geometry","score_opus":0.056018506235353205,"score_gpt":0.25608182207715924,"score_spread":0.20006331584180603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341091724","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":[0.14016925,0.16082826,0.512722,0.0037505107,0.04427941,0.009390755,0.0055617997,0.00024049904,0.12305752],"genre_scores_gemma":[0.9040345,0.08832737,0.0047144443,0.0004397751,0.0023012322,0.000031471074,0.000047035533,0.00006312089,0.000041045423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983785,0.00010182478,0.0011105847,0.00013966467,0.0001248602,0.00014454147],"domain_scores_gemma":[0.9975738,0.0000675929,0.0016127365,0.0005557221,0.00010760296,0.00008252988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006887682,0.00025185497,0.00082753407,0.000032947322,0.000052066356,0.00007373717,0.0004262128,0.00017351616,0.000010391949],"category_scores_gemma":[0.00009271257,0.00017854759,0.00045659742,0.000021107076,0.000032413147,0.000101186546,0.000023820161,0.00044992476,0.000012171314],"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":[0.00008082335,0.00004333043,0.0003147969,0.0003370206,0.00020934832,0.0000058174232,0.000027035683,0.6640123,0.000050098635,0.00070786255,0.003174094,0.33103746],"study_design_scores_gemma":[0.0011444575,0.0003852154,0.0012593726,0.0034935956,0.0002212109,0.000043009128,0.000013894451,0.8461376,0.00026783298,0.0017556497,0.14495485,0.00032334533],"about_ca_topic_score_codex":0.0000054507263,"about_ca_topic_score_gemma":0.000004949411,"teacher_disagreement_score":0.76386523,"about_ca_system_score_codex":0.0004891826,"about_ca_system_score_gemma":0.00007676512,"threshold_uncertainty_score":0.72809595},"labels":[],"label_agreement":null},{"id":"W2347368795","doi":"","title":"Detection of Plasm Viscosity Based on the Time Calculating Function of Atmega168","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Function (biology); Simple (philosophy); Viscosity; Port (circuit theory); Repetition (rhetorical device); Capillary action; Task (project management); Algorithm; Physics; Mechanical engineering; Thermodynamics","score_opus":0.003783975411482478,"score_gpt":0.17882772486196885,"score_spread":0.17504374945048637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347368795","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":[0.081473984,0.000027679249,0.9171992,0.000037843554,0.000011106211,0.00035818547,0.0000067480764,0.00009185329,0.00079343375],"genre_scores_gemma":[0.99666184,5.3125973e-7,0.0031633764,0.000052744672,0.0000585797,0.000034925146,0.000005724215,0.000007926362,0.000014350372],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955153,0.000015010042,0.00018868623,0.00009386753,0.00007057058,0.00008032567],"domain_scores_gemma":[0.999632,0.00007001956,0.000055166012,0.00018855145,0.000037590708,0.000016688398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051899533,0.00007716328,0.00011107683,0.00004096565,0.000058531372,0.000006170821,0.00007832807,0.000036857404,0.0000044855524],"category_scores_gemma":[4.6132857e-7,0.00006329444,0.000057654775,0.00015369932,0.000012407118,0.000027501399,0.000004269711,0.0000667705,0.000017121361],"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":[0.00000689378,0.000025983283,0.000011749766,0.000011648882,0.000010256109,2.9984484e-8,0.00002659782,0.20086756,0.7404549,0.0002485959,0.000037449434,0.05829832],"study_design_scores_gemma":[0.00027991616,0.00007432103,0.004755034,0.000024965433,0.000020885047,0.000001259253,0.000008177583,0.8090311,0.17822775,0.00029481415,0.0071790675,0.0001026796],"about_ca_topic_score_codex":0.000003692482,"about_ca_topic_score_gemma":0.0000012565388,"teacher_disagreement_score":0.91518784,"about_ca_system_score_codex":0.000025581427,"about_ca_system_score_gemma":0.0000033185243,"threshold_uncertainty_score":0.25810724},"labels":[],"label_agreement":null},{"id":"W2348147850","doi":"","title":"Research and Development of Simulation Control Platform YFK-1","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Computer science; Computer hardware; Flexibility (engineering); Data acquisition; Embedded system; Real-time simulation; Control system; Hardware-in-the-loop simulation; Simulation; Real-time computing; Engineering; Operating system; Electrical engineering","score_opus":0.04656890145829206,"score_gpt":0.30837083796661924,"score_spread":0.26180193650832717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348147850","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":[0.51864856,0.00039891878,0.45857793,0.000021661703,0.00004519448,0.00025000892,0.0000016746291,0.00012311345,0.02193296],"genre_scores_gemma":[0.9972813,0.0000029994353,0.002413973,0.0000048083934,0.000043174085,0.000004715757,8.0922064e-7,0.0000070556516,0.00024116813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954575,0.000004057853,0.00015239613,0.000053057036,0.00012461228,0.00012010926],"domain_scores_gemma":[0.9997596,0.00009335203,0.000007705034,0.000060417613,0.000047839712,0.00003109257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014230968,0.000042590767,0.00008539177,0.00005169533,0.000032455504,0.000006178928,0.000027075199,0.00002870885,0.000025679481],"category_scores_gemma":[0.0000064151986,0.000036647652,0.0000062030617,0.00004352882,0.000012138611,0.00008132535,0.000004964857,0.000051597108,0.000018724138],"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":[0.000018886814,0.000009471169,0.00028712323,0.000028754288,0.000023271967,2.6705e-7,0.0004722652,0.88738817,0.013049365,0.0008256873,0.000033593835,0.09786314],"study_design_scores_gemma":[0.0011310953,0.00002441586,0.0018360076,0.000013412811,0.0000016409748,9.605658e-7,0.0003227611,0.951052,0.011967371,0.00012570104,0.033422854,0.00010177424],"about_ca_topic_score_codex":0.0000020089492,"about_ca_topic_score_gemma":0.000029212433,"teacher_disagreement_score":0.47863275,"about_ca_system_score_codex":0.00003155786,"about_ca_system_score_gemma":0.0000057622788,"threshold_uncertainty_score":0.14944479},"labels":[],"label_agreement":null},{"id":"W2348204081","doi":"","title":"Crack Displacement Monitoring System Based on STM32","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"STM32; Computer science; SIGNAL (programming language); Displacement (psychology); Data acquisition; Node (physics); Controller (irrigation); Real-time computing; Wireless; Computer hardware; Embedded system; Acoustics; Telecommunications; Operating system; Chip","score_opus":0.01276904453417614,"score_gpt":0.19413803863416548,"score_spread":0.18136899409998936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348204081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039380416,0.0000855212,0.9853333,0.0000076430515,0.00009242664,0.0006096111,0.0000121406065,0.00064721156,0.009274097],"genre_scores_gemma":[0.96455604,0.0000020047391,0.034459356,0.000022485932,0.00027343264,0.0005753167,0.0000059716235,0.00003400573,0.000071365685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999313,0.000011173716,0.00020014783,0.0001895451,0.000090394635,0.00019573189],"domain_scores_gemma":[0.9995323,0.000023527362,0.000027133978,0.00031911745,0.00002762476,0.0000703308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000395355,0.00014372861,0.00013202452,0.000060823262,0.00008502823,0.000022267159,0.00017199085,0.000042849333,0.000008471557],"category_scores_gemma":[7.203997e-8,0.00014362053,0.000053070853,0.00010843702,0.00000964526,0.000042588803,0.00001372562,0.00008728135,0.00027124299],"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":[0.00008714477,0.000721391,0.0073652724,0.0015147158,0.00037539177,0.000027266744,0.0025214578,0.46146286,0.14626558,0.020182207,0.004064376,0.35541233],"study_design_scores_gemma":[0.001936023,0.00011076163,0.0082675675,0.00032865859,0.00007568992,0.000019739795,0.0003849911,0.50501496,0.07878532,0.00013210674,0.40383378,0.0011103869],"about_ca_topic_score_codex":0.0000066929274,"about_ca_topic_score_gemma":6.891083e-7,"teacher_disagreement_score":0.960618,"about_ca_system_score_codex":0.00011217698,"about_ca_system_score_gemma":0.0000044634407,"threshold_uncertainty_score":0.58566755},"labels":[],"label_agreement":null},{"id":"W2348215948","doi":"","title":"Electric vehicle speed alarm system","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"ALARM; Computer science; Automotive engineering; Real-time computing; Embedded system; Simulation; Electrical engineering","score_opus":0.008697317777345115,"score_gpt":0.17636585152603373,"score_spread":0.16766853374868862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348215948","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":[0.020892214,0.00052933826,0.9518473,0.00000789655,0.000047958616,0.0006698214,0.000007517828,0.0012595729,0.024738364],"genre_scores_gemma":[0.9857225,0.0000066066987,0.013747271,0.000031285774,0.00020865662,0.00013108757,0.0000064775727,0.00003380832,0.00011233699],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934995,0.000009278057,0.00019617725,0.00016681681,0.00005935688,0.00021844202],"domain_scores_gemma":[0.999612,0.000012538015,0.000024027697,0.00025059425,0.000033732154,0.0000671213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032444696,0.000120576915,0.00013755728,0.00006634932,0.000069658076,0.000018378052,0.00019359941,0.000049972135,0.000010028595],"category_scores_gemma":[5.9700625e-8,0.00012544471,0.00005312117,0.00023312517,0.000008312508,0.00005763305,0.000015844978,0.00008880932,0.00051454746],"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":[0.0000087993885,0.00011167779,0.00058888376,0.00025179645,0.00016473426,0.000009104315,0.0009444971,0.0036532448,0.79344225,0.017154075,0.0030522281,0.1806187],"study_design_scores_gemma":[0.0013777831,0.00005465922,0.0061170096,0.0000524175,0.00008404168,0.00019069112,0.00021673947,0.27760097,0.12876391,0.0007458701,0.583734,0.0010619628],"about_ca_topic_score_codex":0.000012896717,"about_ca_topic_score_gemma":0.0000015977253,"teacher_disagreement_score":0.9648303,"about_ca_system_score_codex":0.00006555685,"about_ca_system_score_gemma":0.0000047293474,"threshold_uncertainty_score":0.66136384},"labels":[],"label_agreement":null},{"id":"W2348540730","doi":"","title":"Design of Linear Motor Supervisory System","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Linear motor; Supervisory control; Process (computing); Displacement (psychology); Control theory (sociology); Electrical engineering; Control (management); Operating system; Engineering","score_opus":0.014045645330667041,"score_gpt":0.2084220872036271,"score_spread":0.19437644187296005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348540730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037705249,0.00041979275,0.99402446,0.000003768223,0.000029098708,0.0006177353,0.000009777447,0.0003542125,0.00077064853],"genre_scores_gemma":[0.76227653,0.0000070839565,0.23723917,0.000015752968,0.00024796362,0.000104683204,0.0000074669347,0.000031053045,0.00007028344],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993438,0.000009676792,0.00028594738,0.00012182876,0.00006826756,0.00017043795],"domain_scores_gemma":[0.9995809,0.00006566732,0.00002882879,0.00022110512,0.00005178799,0.000051713356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113893366,0.000100973106,0.00015603713,0.00007194225,0.00004555355,0.000006260182,0.00015973226,0.000054277112,0.0000026023479],"category_scores_gemma":[1.1073988e-7,0.00010445047,0.000045455636,0.00014079595,0.000015313746,0.000037938666,0.000013743492,0.00006420244,0.00006597415],"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":[0.000009448097,0.0000364325,0.000064759435,0.00027494633,0.000058576345,0.0000019874208,0.0003305477,0.08198457,0.8550353,0.0016108286,0.00026944763,0.06032317],"study_design_scores_gemma":[0.001324905,0.00007285777,0.0013459806,0.00012112786,0.000063264175,0.00010232721,0.0005683885,0.46546966,0.17305988,0.00014300412,0.35694745,0.0007811544],"about_ca_topic_score_codex":0.000005177775,"about_ca_topic_score_gemma":9.0101264e-7,"teacher_disagreement_score":0.758506,"about_ca_system_score_codex":0.000045594625,"about_ca_system_score_gemma":0.000005135013,"threshold_uncertainty_score":0.42593664},"labels":[],"label_agreement":null},{"id":"W2348830645","doi":"","title":"Intelligent Controller Optimized by Genetic Algorithm","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Genetic algorithm; Controller (irrigation); PID controller; Field-programmable gate array; Artificial neural network; Intelligent control; Control engineering; Algorithm; Embedded system; Artificial intelligence; Machine learning; Temperature control","score_opus":0.0026400903591089785,"score_gpt":0.19301586350566124,"score_spread":0.19037577314655227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2348830645","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009652378,0.0005028905,0.99646693,0.000043700853,0.00007817289,0.0007004685,0.000037815757,0.00038549313,0.00081930874],"genre_scores_gemma":[0.09386185,0.00006300179,0.90355664,0.00021392408,0.00060112093,0.0010343778,0.000052087562,0.00007128337,0.000545722],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925154,0.000008078213,0.00024845364,0.00020138785,0.000071623865,0.00021889253],"domain_scores_gemma":[0.99956006,0.000037097543,0.000026375332,0.00023700217,0.000042834632,0.0000966401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003396029,0.00015339543,0.00018634983,0.00004196216,0.00007250559,0.000046836187,0.00021777264,0.00007791502,0.000040470135],"category_scores_gemma":[1.7916227e-7,0.00015288286,0.000070972834,0.000100616984,0.000027087082,0.0000376596,0.000020774594,0.0001968268,0.00026642458],"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":[0.0000018859388,0.000037576025,0.0000082331,0.000008802873,0.000051882977,5.480896e-7,0.00005786299,0.011484113,0.24766245,0.00016039137,0.007576103,0.73295015],"study_design_scores_gemma":[0.0005630975,0.0000054340867,0.000039973263,0.0000019813492,0.000011790476,0.000016358697,0.000007031427,0.19860359,0.0076193414,0.00023185028,0.79271334,0.00018619614],"about_ca_topic_score_codex":0.000006288186,"about_ca_topic_score_gemma":0.0000016459123,"teacher_disagreement_score":0.78513724,"about_ca_system_score_codex":0.000019651794,"about_ca_system_score_gemma":0.000004593711,"threshold_uncertainty_score":0.6234382},"labels":[],"label_agreement":null},{"id":"W2349146390","doi":"","title":"Design of Test of Instrument Software Based on LabWindows/CVI","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Instrument control; Software; Construct (python library); Test (biology); Control software; Virtual instrument; Software engineering; Software design; Control (management); Embedded system; Computer hardware; Software development; Programming language; Artificial intelligence","score_opus":0.008570018310509148,"score_gpt":0.2063422946591738,"score_spread":0.19777227634866465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349146390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025614407,0.000054904016,0.99629086,0.000009862019,0.000013615226,0.00056075654,0.000022079637,0.00011445816,0.00037199317],"genre_scores_gemma":[0.7617741,0.000001918481,0.238043,0.000035168625,0.00004430627,0.00006001678,0.0000092051905,0.000017267459,0.000015020598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993685,0.000006691066,0.0002838711,0.000114449496,0.00008974798,0.00013677844],"domain_scores_gemma":[0.9994006,0.00022129176,0.000053932003,0.00023421498,0.00005147143,0.000038476348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008715239,0.00009866916,0.00015614554,0.00008661845,0.000024693178,0.000004173613,0.00013797097,0.000044235396,0.0000056428753],"category_scores_gemma":[8.4017046e-7,0.00010042091,0.0000415857,0.00016838661,0.000020685742,0.000021582113,0.000009675589,0.000060558064,0.000014672492],"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":[0.000013594055,0.0001807788,0.0010261601,0.00013107454,0.00002840688,7.4959235e-7,0.00011529009,0.46102017,0.35020116,0.00024018291,0.0002649092,0.18677752],"study_design_scores_gemma":[0.002309217,0.00025429897,0.007762077,0.00016248556,0.000044659853,0.000008730076,0.000050870294,0.18050253,0.72586966,0.0004284534,0.08204772,0.0005593135],"about_ca_topic_score_codex":0.000004095733,"about_ca_topic_score_gemma":0.0000013815952,"teacher_disagreement_score":0.7592127,"about_ca_system_score_codex":0.000036006506,"about_ca_system_score_gemma":0.000009827622,"threshold_uncertainty_score":0.4095046},"labels":[],"label_agreement":null},{"id":"W2349166775","doi":"","title":"Auto measurement system of solid medium's electromagnetism parameters","year":2006,"lang":"en","type":"article","venue":"Electronic Measurement Technology","topic":"Advanced Sensor and Control Systems","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":"Discovery Air (Canada)","funders":"","keywords":"Electromagnetism; System of measurement; Permittivity; Measure (data warehouse); Computer science; Control theory (sociology); Biological system; Mechanical engineering; Control engineering; Electronic engineering; Materials science; Engineering; Physics; Electrical engineering; Artificial intelligence; Data mining; Dielectric","score_opus":0.008004957285294276,"score_gpt":0.1847101522054914,"score_spread":0.17670519492019712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349166775","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":[0.34806016,0.09771191,0.51069313,0.0013450184,0.002585122,0.0046656625,0.000035056026,0.013523286,0.021380674],"genre_scores_gemma":[0.99918824,0.00006367164,0.00036709025,0.000008131663,0.00007863611,0.00018256542,0.0000035149499,0.000070363385,0.000037804028],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964047,0.00006408181,0.0007861999,0.00038689162,0.0011845673,0.0011735631],"domain_scores_gemma":[0.9987926,0.000014496492,0.00016170107,0.00063351897,0.0003377795,0.000059944006],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008584728,0.00037694644,0.00064935605,0.00043618114,0.000074225,0.000010644775,0.0004313733,0.00029156217,0.00001127645],"category_scores_gemma":[0.000048891085,0.0003819731,0.00013689956,0.00056848844,0.0000853922,0.00007485636,0.000024068815,0.00043627678,0.000030494311],"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":[0.00002351327,0.00005743211,0.00011143714,0.00018677166,0.00023968893,0.000008409486,0.000012676076,0.005484547,0.9711804,0.017392963,0.000981656,0.004320535],"study_design_scores_gemma":[0.0026090215,0.0010530923,0.000518524,0.00029283398,0.00021093278,0.00013809279,0.00017365318,0.013257988,0.95791453,0.0062886686,0.016627477,0.0009151568],"about_ca_topic_score_codex":0.000060714618,"about_ca_topic_score_gemma":0.00036146634,"teacher_disagreement_score":0.65112805,"about_ca_system_score_codex":0.0019394711,"about_ca_system_score_gemma":0.00015205586,"threshold_uncertainty_score":0.9998632},"labels":[],"label_agreement":null},{"id":"W2349167548","doi":"","title":"The Design of Temperature Monitoring System Based on Wireless Communication","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Frame (networking); Wireless; Protocol (science); Wireless sensor network; Software; Communications protocol; Embedded system; Wireless network; Protocol design; Software design; Systems design; Computer network; Telecommunications; Software development; Operating system; Software engineering","score_opus":0.005270150652072059,"score_gpt":0.20203419543841764,"score_spread":0.19676404478634557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349167548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016416298,0.00020263823,0.9815337,0.000061483064,0.00009745053,0.0008535673,0.000009050666,0.00031957793,0.00050624984],"genre_scores_gemma":[0.96864855,0.0000101670985,0.03077122,0.0000071252853,0.00014195415,0.00037560737,0.000005542118,0.000021711849,0.000018145964],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994657,0.00003163939,0.00019978755,0.00010199098,0.00008236705,0.00011848984],"domain_scores_gemma":[0.9990603,0.00023001534,0.000045518264,0.000564913,0.000067934205,0.000031325966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120257115,0.00010101846,0.000110186425,0.000032791762,0.00021314186,0.000042044485,0.0003423838,0.000066920555,4.4828323e-7],"category_scores_gemma":[3.4504274e-7,0.00007894079,0.000037859463,0.00012842417,0.000030536565,0.00003111829,0.00001350726,0.00022735786,0.0000133370195],"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":[0.0000061205037,0.000021753718,0.00009064781,0.000059763526,0.000020169731,1.5021892e-7,0.00008070428,0.14753263,0.80898833,0.00369,0.00022201016,0.039287742],"study_design_scores_gemma":[0.0007241274,0.000027301456,0.0012353468,0.0001654411,0.000027253709,0.000011449293,0.00018825923,0.69582516,0.22230642,0.00012449377,0.07899999,0.00036473037],"about_ca_topic_score_codex":0.0000030308543,"about_ca_topic_score_gemma":0.0000017488168,"teacher_disagreement_score":0.95223224,"about_ca_system_score_codex":0.000028789875,"about_ca_system_score_gemma":0.00000852066,"threshold_uncertainty_score":0.32191122},"labels":[],"label_agreement":null},{"id":"W2350255112","doi":"","title":"Design and Implementation of Embedded Agent Server in Distributed Measurement and Control Network","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Realization (probability); Layer (electronics); Key (lock); Distributed computing; Computer network; Control (management); Application layer; Operating system; Embedded system; Artificial intelligence","score_opus":0.007489762297180873,"score_gpt":0.2107539231454187,"score_spread":0.2032641608482378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350255112","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":[0.037303157,0.0008049099,0.96094805,0.000022995719,0.00000699151,0.000845474,0.000014143578,0.000042411866,0.000011884914],"genre_scores_gemma":[0.98247916,0.000013201792,0.017188406,0.000014031218,0.000051036543,0.00022309415,0.000020520829,0.000009209183,0.0000013211799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99943864,0.000021710222,0.00023454228,0.00011371718,0.000065487635,0.00012588986],"domain_scores_gemma":[0.9998034,0.00002245566,0.000034383458,0.000082147155,0.000034902663,0.000022681701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011016947,0.00008235109,0.0001319541,0.000027836788,0.000028928922,0.0000143196885,0.00003738269,0.000025081461,0.0000016052205],"category_scores_gemma":[6.448086e-8,0.000086735665,0.0000133281455,0.000092743954,0.000011475967,0.000037183952,0.000008890477,0.00003398394,9.086723e-7],"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":[0.000018252089,0.00006591241,0.010373593,0.0001692696,0.00009753894,0.000001330345,0.0003327336,0.70446944,0.21798366,0.0015830942,0.0014087879,0.06349637],"study_design_scores_gemma":[0.0137638375,0.000120717195,0.5016776,0.00014408489,0.00018595345,0.000033617696,0.0003687088,0.37864965,0.03663722,0.007827334,0.05941294,0.0011783643],"about_ca_topic_score_codex":0.000045805737,"about_ca_topic_score_gemma":0.00007466433,"teacher_disagreement_score":0.945176,"about_ca_system_score_codex":0.000041616113,"about_ca_system_score_gemma":0.000004555031,"threshold_uncertainty_score":0.35369778},"labels":[],"label_agreement":null},{"id":"W2350829132","doi":"","title":"Research on Self-Correction Method of Debugging Device Based on Virtual Instruments","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Debugging; Computer science; Realization (probability); MATLAB; Adaptability; Virtual instrument; Embedded system; Computer hardware; Programming language; Software","score_opus":0.016704737622582642,"score_gpt":0.31478747844272675,"score_spread":0.29808274082014413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350829132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007515415,0.000016434147,0.9859197,0.00006670029,0.000052760468,0.00053807755,0.000005232165,0.00034542888,0.005540211],"genre_scores_gemma":[0.9133949,0.0000026520918,0.08612064,0.0001615133,0.00013224385,0.00011387241,0.00001119381,0.000017993174,0.000044978784],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991035,0.000065528344,0.00021760966,0.00021452736,0.00019091392,0.00020793059],"domain_scores_gemma":[0.9993934,0.00017481127,0.00003116012,0.00027153987,0.00007674132,0.00005235241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020340955,0.000115193856,0.00014533852,0.0002293955,0.000110337576,0.000020052248,0.00016795585,0.0000612738,0.000003336549],"category_scores_gemma":[6.819833e-7,0.00011930825,0.000047830483,0.00040828227,0.000008825545,0.00004623054,0.00000922049,0.00022043522,0.000052128424],"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":[0.000013384291,0.00013859943,0.000024334986,0.00001625691,0.000019502253,2.9875275e-7,0.000110435445,0.28072536,0.038951173,0.001008202,0.00078261754,0.67820984],"study_design_scores_gemma":[0.0006577015,0.00023513798,0.001480572,0.00007793137,0.000012873002,0.0000053597296,0.000058367725,0.8422547,0.059796344,0.00027451428,0.09493223,0.00021424456],"about_ca_topic_score_codex":0.000008603415,"about_ca_topic_score_gemma":0.0000022360143,"teacher_disagreement_score":0.9058795,"about_ca_system_score_codex":0.00012229726,"about_ca_system_score_gemma":0.000013578506,"threshold_uncertainty_score":0.4865249},"labels":[],"label_agreement":null},{"id":"W2350851321","doi":"","title":"The Research on the Realization of Back Propagation Network Based on MATLAB","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; MATLAB; Realization (probability); Artificial neural network; Backpropagation; Graphical user interface; Network simulation; Artificial intelligence; Simulation; Machine learning; Distributed computing; Operating system","score_opus":0.018408549799823055,"score_gpt":0.25402191087177983,"score_spread":0.23561336107195677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350851321","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":[0.0009416733,0.00008324835,0.98521286,0.00045378733,0.000024037374,0.0011922438,0.0000069659754,0.00008393806,0.012001238],"genre_scores_gemma":[0.9962475,0.00001032344,0.0021983811,0.00008573769,0.00051125756,0.0005512494,0.00004568471,0.00002803603,0.00032184902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923974,0.00007847832,0.00020729094,0.00012316987,0.00017303941,0.00017829612],"domain_scores_gemma":[0.999085,0.0004008846,0.000038892696,0.0003563647,0.0001041984,0.000014630384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002938438,0.00007805932,0.00007203442,0.00003678408,0.00028750417,0.000045839974,0.00020290875,0.00003714217,0.000004632393],"category_scores_gemma":[7.363423e-7,0.000048668124,0.000032086842,0.0003853887,0.000045111865,0.000019481738,0.000011076791,0.00012442436,0.000092401424],"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":[0.000008359676,0.000027640044,0.00003468878,0.000018981887,0.0000065227673,6.611766e-8,0.00001801917,0.822022,0.004747666,0.13508853,0.025325095,0.012702409],"study_design_scores_gemma":[0.00023830147,0.00003627314,0.001421589,0.00005181196,0.0000047923218,8.136092e-7,0.000020008392,0.41709828,0.004717293,0.008639228,0.5676588,0.000112817994],"about_ca_topic_score_codex":0.000016362028,"about_ca_topic_score_gemma":0.00001683916,"teacher_disagreement_score":0.99530584,"about_ca_system_score_codex":0.000049121118,"about_ca_system_score_gemma":0.000008738832,"threshold_uncertainty_score":0.22112787},"labels":[],"label_agreement":null},{"id":"W2351229001","doi":"","title":"F-P Demodulation Method of Fiber Bragg Grating and Scale Changeable Sampling Technique","year":2009,"lang":"en","type":"article","venue":"Laser & Infrared","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Demodulation; Fiber Bragg grating; Sampling (signal processing); Computer science; Filter (signal processing); Scale (ratio); Fiber; Electronic engineering; Optics; Telecommunications; Optical fiber; Materials science; Physics; Engineering; Computer vision","score_opus":0.011450003868025221,"score_gpt":0.24977120336779582,"score_spread":0.2383211994997706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351229001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11001448,0.0003291917,0.8806999,0.000024863115,0.0000780981,0.00037278415,0.000016474309,0.00030892837,0.008155331],"genre_scores_gemma":[0.86379224,0.000008860614,0.13571054,0.000035552963,0.00007353337,0.000017920887,0.000008952993,0.000017684084,0.00033469652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994397,0.000021247151,0.000201441,0.00011179392,0.00008013181,0.00014567403],"domain_scores_gemma":[0.9996992,0.0000496427,0.000041647087,0.00014090896,0.000030889725,0.000037732207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012274063,0.00009998388,0.0001854209,0.0000556129,0.00003899437,0.000014166075,0.000043176682,0.00007412869,0.000017371602],"category_scores_gemma":[0.000017982951,0.000101084166,0.00003060293,0.000119817385,0.0000071107397,0.00014366402,0.00000752226,0.0000782332,0.0000018942899],"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":[0.000017230464,0.000013624301,0.0005390759,0.00010848316,0.00002362093,0.0000015442672,0.00057313696,0.08375507,0.82329154,0.0001717066,0.00011562867,0.09138933],"study_design_scores_gemma":[0.0013753778,0.00015873731,0.016682977,0.00039605366,0.00005812294,0.00005150119,0.00025201085,0.23160692,0.72192585,0.016611623,0.010140289,0.00074055186],"about_ca_topic_score_codex":0.000011346209,"about_ca_topic_score_gemma":0.000005648277,"teacher_disagreement_score":0.7537778,"about_ca_system_score_codex":0.000017319133,"about_ca_system_score_gemma":0.000002737688,"threshold_uncertainty_score":0.41220927},"labels":[],"label_agreement":null},{"id":"W2351300063","doi":"","title":"Design of control system on automobile intelliger' electronic throttle based on 80C196KB single chip microcomputer","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcomputer; Throttle; Computer science; Software; Embedded system; Automotive industry; Automotive engineering; Computer hardware; Control software; Automotive electronics; Chip; Operating system; Telecommunications; Engineering","score_opus":0.006261786151115027,"score_gpt":0.1941345505310266,"score_spread":0.18787276437991157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351300063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014557824,0.0002784474,0.9945247,0.00007431453,0.00003725747,0.0018549747,0.000028661741,0.0006518885,0.001093982],"genre_scores_gemma":[0.9404579,0.0000041803773,0.05806325,0.000273264,0.00040473652,0.00065559,0.000020349382,0.00007369758,0.000047021764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841255,0.000063914405,0.00050793804,0.0003847788,0.00016593549,0.00046486277],"domain_scores_gemma":[0.9989749,0.00024580932,0.000106382824,0.0005133101,0.000073490904,0.00008606861],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013297457,0.00031673076,0.00041323714,0.00017882997,0.000096392185,0.00004209101,0.00036317593,0.0001201533,0.000015055058],"category_scores_gemma":[3.055252e-7,0.00031221073,0.00013820379,0.00023677459,0.00003564425,0.000064512795,0.000015176748,0.00023812076,0.00031391383],"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":[0.000029289657,0.00020239927,0.0000060564707,0.00008484021,0.000058586513,6.3915286e-7,0.00007121582,0.83150876,0.104493216,0.0012014452,0.0006981213,0.06164542],"study_design_scores_gemma":[0.001284767,0.0002424693,0.000034643184,0.00012463989,0.000032811033,0.00001428392,0.000014943505,0.7728395,0.09369471,0.00005749028,0.13128664,0.0003731356],"about_ca_topic_score_codex":0.00000294333,"about_ca_topic_score_gemma":0.000002010038,"teacher_disagreement_score":0.93900216,"about_ca_system_score_codex":0.00037059555,"about_ca_system_score_gemma":0.000029734345,"threshold_uncertainty_score":0.999933},"labels":[],"label_agreement":null},{"id":"W2352163353","doi":"","title":"Efficient Modular Algorithm on the BLACKFIN DSP","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modular design; Computer science; Table (database); Digital signal processing; Algorithm; Lookup table; Mass storage; Computer hardware; Parallel computing; Programming language","score_opus":0.007636135449657984,"score_gpt":0.18010689755326148,"score_spread":0.1724707621036035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352163353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017089749,0.0002011066,0.9797872,0.00014628706,0.000028439292,0.00054635433,0.000015015524,0.0002970425,0.0018888058],"genre_scores_gemma":[0.93372816,0.000029116472,0.064160414,0.0004283787,0.00053199136,0.00064494385,0.000016587432,0.000052457606,0.0004079543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941486,0.000012255073,0.00014672033,0.00015842039,0.00009393873,0.0001737805],"domain_scores_gemma":[0.99954534,0.00005087133,0.000016995173,0.00031885676,0.000025959804,0.00004199597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003526847,0.00011772422,0.00010227629,0.000034746827,0.00018587013,0.000014421866,0.00019690403,0.00003534421,0.000010709746],"category_scores_gemma":[1.5630954e-7,0.00009001395,0.000058479214,0.00014962333,0.00003428367,0.000009997695,0.000017971774,0.00011518059,0.00037571357],"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":[0.000001318227,0.00008067974,0.000012257866,0.000010855807,0.00005172067,0.000004239854,0.00042831988,0.851544,0.026088225,0.0032860914,0.006804539,0.11168773],"study_design_scores_gemma":[0.00015622654,0.0000070946057,0.000313013,0.0000050050394,0.0000043760497,0.000026845359,0.000012325555,0.58399826,0.0026551152,0.00010650047,0.41258076,0.00013446285],"about_ca_topic_score_codex":0.0000035467758,"about_ca_topic_score_gemma":4.017003e-7,"teacher_disagreement_score":0.91663843,"about_ca_system_score_codex":0.000037959326,"about_ca_system_score_gemma":0.000004509495,"threshold_uncertainty_score":0.4829163},"labels":[],"label_agreement":null},{"id":"W2352948993","doi":"","title":"C Code Optimization for TI C6000 DSPs","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Program optimization; Code (set theory); Digital signal processing; Parallel computing; Code generation; Computer architecture; Programming language; Computer hardware; Operating system; Compiler","score_opus":0.006007398365377919,"score_gpt":0.2247824275314956,"score_spread":0.21877502916611768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352948993","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00054034597,0.00017762529,0.9960491,0.000034435514,0.00003630158,0.0007944757,0.000029664885,0.00038874336,0.0019492944],"genre_scores_gemma":[0.20223728,0.000015479307,0.795991,0.00015970867,0.00055589405,0.00050736574,0.00013113792,0.000059683614,0.0003424385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994254,0.0000026356772,0.00019655428,0.00014063888,0.00004397678,0.00019075698],"domain_scores_gemma":[0.99966395,0.00005223135,0.000022692378,0.00015973374,0.00005032057,0.000051097773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006890153,0.000094302726,0.0001004473,0.00005262064,0.00008027001,0.00002222023,0.000114138405,0.0000515243,0.000009024483],"category_scores_gemma":[2.0433548e-7,0.00010344109,0.000046618934,0.00011844847,0.000010313077,0.000053135453,0.0000088461975,0.000047043824,0.000035581823],"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":[0.00000683082,0.00003252042,0.00004366208,0.000062024235,0.000037252386,3.6220348e-7,0.00014201488,0.7366378,0.040050153,0.0027310099,0.00338321,0.21687318],"study_design_scores_gemma":[0.00032768204,0.000006936024,0.00008251656,0.000004849992,0.000009276025,0.000005887386,0.000014002077,0.27060646,0.0050913934,0.00026125298,0.72344613,0.0001435824],"about_ca_topic_score_codex":0.0000015846385,"about_ca_topic_score_gemma":0.0000069297726,"teacher_disagreement_score":0.720063,"about_ca_system_score_codex":0.00004170697,"about_ca_system_score_gemma":0.000003650495,"threshold_uncertainty_score":0.42182052},"labels":[],"label_agreement":null},{"id":"W2353311866","doi":"","title":"The Design of ECG Teletransmission System Based on Embedded Modem","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Public switched telephone network; Workstation; Telephone network; Data transmission; Transfer (computing); Computer science; Transmission (telecommunications); Engineering; Computer hardware; Center (category theory); Computer network; Embedded system; Telecommunications; Operating system; The Internet","score_opus":0.00733634989215089,"score_gpt":0.18525578940884768,"score_spread":0.17791943951669678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353311866","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":[0.0020530175,0.00013814811,0.9880449,0.000023468046,0.00013095491,0.00024106061,0.0000013745062,0.0002699488,0.009097117],"genre_scores_gemma":[0.9958819,0.000007435887,0.0039558304,0.000012288351,0.000025217232,0.0000121477005,4.8134876e-7,0.000019766934,0.000084892454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939525,0.000026879625,0.00019046734,0.000083004445,0.00015484581,0.00014953413],"domain_scores_gemma":[0.99957496,0.00011453573,0.000019041578,0.00022763076,0.00002175727,0.00004204624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011877663,0.000098700344,0.00013641983,0.000025387606,0.00005595419,0.000009825693,0.00010023005,0.000046934,0.0000035603077],"category_scores_gemma":[0.0000072425782,0.00005880738,0.00004947591,0.00007621554,0.000010662705,0.000027925365,0.0000017061776,0.000064716434,0.00001496852],"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":[0.000028907862,0.000005853101,0.0000017228647,0.000046225476,0.000008453901,0.0000020009643,0.000035341473,0.97483337,0.021619545,0.0013616739,0.00002778204,0.0020291198],"study_design_scores_gemma":[0.00062206655,0.00004831298,0.000008480855,0.00008967688,0.000005408348,0.000001746353,0.00020076046,0.96551543,0.033168178,0.00008631993,0.00017570084,0.00007789572],"about_ca_topic_score_codex":0.0000071843324,"about_ca_topic_score_gemma":0.0000010662,"teacher_disagreement_score":0.9938289,"about_ca_system_score_codex":0.000063866646,"about_ca_system_score_gemma":0.000010609,"threshold_uncertainty_score":0.23980954},"labels":[],"label_agreement":null},{"id":"W2353620736","doi":"","title":"Design and Implementation of Graduation Thesis online Guidance System based on .NET","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Computer science; Work (physics); Mode (computer interface); Engineering management; Guidance system; Multimedia; Net (polyhedron); Software engineering; Human–computer interaction","score_opus":0.012761637994641077,"score_gpt":0.23255308653777812,"score_spread":0.21979144854313704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353620736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027802246,0.00012262465,0.9711324,0.000028798899,0.000009626806,0.00067208096,0.00002862964,0.00014651284,0.00005710964],"genre_scores_gemma":[0.8666529,0.0000121659505,0.13301428,0.000028437356,0.00005172903,0.00018556634,0.000035067198,0.000014625334,0.0000052491246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945307,0.00002405568,0.00022587126,0.0001291818,0.00007611825,0.00009171431],"domain_scores_gemma":[0.99966294,0.00006431203,0.00005121923,0.00015242641,0.000041768,0.000027332748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005010489,0.00009195956,0.00012396928,0.00006349264,0.00006366223,0.0000063935404,0.00006797148,0.00002665818,0.0000014775425],"category_scores_gemma":[1.2876903e-7,0.000092938644,0.000023455446,0.00011237648,0.000015488109,0.000038832855,0.00000536427,0.00003469908,0.0000055724136],"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":[0.000018211893,0.00010524793,0.0014771618,0.00037970912,0.000066034736,0.0000018554857,0.0007281452,0.6520575,0.17025235,0.0013275618,0.0011568108,0.17242937],"study_design_scores_gemma":[0.0011805531,0.00007187995,0.021864513,0.000066777764,0.000030797917,0.00002444513,0.00016764551,0.9209009,0.04495177,0.00007229528,0.010382325,0.0002861239],"about_ca_topic_score_codex":0.000012302452,"about_ca_topic_score_gemma":0.000002864167,"teacher_disagreement_score":0.8388506,"about_ca_system_score_codex":0.00004151063,"about_ca_system_score_gemma":0.000008006855,"threshold_uncertainty_score":0.3789928},"labels":[],"label_agreement":null},{"id":"W2354059740","doi":"","title":"Measure Device for Engine Instantaneous Rotate Speed Based on VxD","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Impulse (physics); Rectangle; SIGNAL (programming language); Computer hardware; Data acquisition; Measure (data warehouse); Modulation (music); Acoustics; Physics; Mathematics","score_opus":0.007659144419272097,"score_gpt":0.21319302263657922,"score_spread":0.20553387821730712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354059740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019819762,0.00019821602,0.99341404,0.00026818077,0.000027371312,0.0012452195,0.000061009152,0.0005027991,0.0023011912],"genre_scores_gemma":[0.8476337,0.0000050365143,0.150417,0.0005453374,0.00063243834,0.00047307543,0.000061990206,0.00006533237,0.00016607759],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924105,0.000007713919,0.00021898611,0.00021107546,0.00008833108,0.00023286055],"domain_scores_gemma":[0.999495,0.00007794089,0.000027331604,0.0002655183,0.00006257152,0.0000716067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005065254,0.00016791957,0.00016693887,0.000069800655,0.0000872258,0.000031529315,0.00017071355,0.00005600473,0.000006592525],"category_scores_gemma":[4.822843e-7,0.00017367107,0.00007591515,0.0001382292,0.000009551696,0.000045188266,0.000007139255,0.0000959657,0.00013056133],"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":[0.000013665889,0.000048191116,0.0000056541194,0.000048648173,0.000026376021,9.0520825e-7,0.000056580564,0.664501,0.04198463,0.00030067778,0.0012903134,0.29172337],"study_design_scores_gemma":[0.0005064581,0.000014848668,0.000017303051,0.0000131453535,0.000010462049,0.000007324323,0.000003837229,0.41328096,0.006282574,0.000035579997,0.57967615,0.00015131784],"about_ca_topic_score_codex":0.0000015994744,"about_ca_topic_score_gemma":0.000011629422,"teacher_disagreement_score":0.84565175,"about_ca_system_score_codex":0.0000926308,"about_ca_system_score_gemma":0.000009846186,"threshold_uncertainty_score":0.7082101},"labels":[],"label_agreement":null},{"id":"W2354338091","doi":"","title":"Research and Design of an AC Vehicle Engine Dynamometer System","year":2005,"lang":"en","type":"article","venue":"Acta Armamentarll The Volume of Tank, Armored Vehicle and Engine","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Dynamometer; Steady state (chemistry); Automotive engineering; State (computer science); Selection (genetic algorithm); Computer science; Engineering; Artificial intelligence","score_opus":0.021104604815550227,"score_gpt":0.24648153832229028,"score_spread":0.22537693350674004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354338091","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":[0.99403137,0.001924985,0.0029217254,0.00023319936,0.00008993298,0.00045925044,0.000037555703,0.0001310952,0.00017086376],"genre_scores_gemma":[0.9976405,0.00023274036,0.0017275302,0.000017478962,0.00016002645,0.000030661824,0.0000095593,0.00005466093,0.00012682921],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983607,0.00012123887,0.0004636874,0.00024974017,0.00035748482,0.00044716484],"domain_scores_gemma":[0.9990304,0.00019366469,0.00007147955,0.00044497199,0.000098210774,0.00016125028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069569505,0.00022903044,0.00040945248,0.00018353439,0.00012058427,0.000037721875,0.0002698136,0.000090418886,0.000021090857],"category_scores_gemma":[0.000014832666,0.00018425472,0.000047927217,0.00029213724,0.00017104336,0.00035500134,0.00007056077,0.00028010653,0.000005237579],"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":[0.00035435116,0.00017798849,0.00096355996,0.0005775059,0.000410095,0.000016887356,0.001935816,0.107258506,0.82426614,0.00016464933,0.00081906735,0.06305544],"study_design_scores_gemma":[0.0015206257,0.00045300066,0.0030461466,0.00009556337,0.000058141173,0.000039785296,0.0015676427,0.95376825,0.037243433,0.000048365713,0.0019019633,0.00025707422],"about_ca_topic_score_codex":0.00011488349,"about_ca_topic_score_gemma":0.000014304043,"teacher_disagreement_score":0.84650975,"about_ca_system_score_codex":0.00008714745,"about_ca_system_score_gemma":0.000009503252,"threshold_uncertainty_score":0.75136894},"labels":[],"label_agreement":null},{"id":"W2354477906","doi":"","title":"Intelligentized management system design discussion in one new plant","year":2007,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); ALARM; Management system; Engineering; Systems design; Computer science; Architectural engineering; Systems engineering; Operations management; Electrical engineering","score_opus":0.013756802211745432,"score_gpt":0.20719398107909437,"score_spread":0.19343717886734893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354477906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034377824,0.00045397278,0.98995095,0.000058352776,0.0004063593,0.0006233842,0.0000062390304,0.0004149029,0.00464803],"genre_scores_gemma":[0.986767,0.000020762822,0.012098331,0.000021370257,0.00021533058,0.000014290077,0.00001271841,0.0000452191,0.00080501195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987958,0.000037272734,0.00032427305,0.0002140762,0.00021099421,0.00041757393],"domain_scores_gemma":[0.99954075,0.0000402051,0.000028917204,0.00025351162,0.0000059369827,0.00013065629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025260434,0.00019880738,0.00025653452,0.00022647448,0.00003484691,0.000020555535,0.00016860705,0.000083114064,0.0000132598325],"category_scores_gemma":[0.000005204569,0.00013864032,0.00006141415,0.00023406075,0.000007850763,0.000033818014,0.0000289455,0.00023061935,0.000048485446],"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":[0.00040244887,0.00004027174,0.00010887116,0.0006632729,0.00014027252,0.0004721858,0.0022649479,0.6077294,0.020994747,0.0013527418,0.0005404669,0.3652904],"study_design_scores_gemma":[0.02930707,0.0009684996,0.027687158,0.014683226,0.0006119642,0.0010333615,0.022780973,0.44447345,0.15323259,0.029052861,0.26708665,0.009082171],"about_ca_topic_score_codex":0.000016926044,"about_ca_topic_score_gemma":0.000117655996,"teacher_disagreement_score":0.9833292,"about_ca_system_score_codex":0.0001362693,"about_ca_system_score_gemma":0.000005107669,"threshold_uncertainty_score":0.5653588},"labels":[],"label_agreement":null},{"id":"W2354732506","doi":"","title":"Implementation of Infrared Print Function of Portable Analytic Instrument Based On 16 bits Microcontroller 80C196kc","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcontroller; Computer science; Function (biology); Computer hardware; Software; Infrared; Protocol (science); Embedded system; Process (computing); Operating system; Optics","score_opus":0.005216080331700363,"score_gpt":0.21728830794165274,"score_spread":0.21207222760995237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354732506","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":[0.062983796,0.0000899602,0.93400496,0.000064226195,0.000021037118,0.0010877219,0.00004134519,0.00010319715,0.0016037665],"genre_scores_gemma":[0.98438,0.000004830934,0.015024714,0.000088778455,0.00009273343,0.00025724596,0.00005719866,0.000021188996,0.00007333001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990102,0.000014369515,0.00050841196,0.00017944779,0.00012321922,0.00016434566],"domain_scores_gemma":[0.9994356,0.000028801005,0.00013657608,0.00027322475,0.000081249775,0.000044558776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007157224,0.00014164772,0.00024059197,0.00016964668,0.000037843263,0.0000112074995,0.00011456812,0.00004764527,0.000057773803],"category_scores_gemma":[1.8900727e-7,0.00014495585,0.00009064725,0.00022325177,0.00001566214,0.000076035234,0.000013060545,0.00006698718,0.000019862886],"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":[0.00003897702,0.00017994412,0.0018331095,0.00016146767,0.00015930191,1.3039278e-7,0.0001723748,0.37765226,0.27427295,0.0009560931,0.0011456846,0.34342772],"study_design_scores_gemma":[0.0066685043,0.00025434812,0.029100133,0.00011912447,0.00016552387,0.0000038541893,0.00020967075,0.1802577,0.37637472,0.0005952652,0.40562686,0.000624278],"about_ca_topic_score_codex":0.000026045118,"about_ca_topic_score_gemma":0.000035408604,"teacher_disagreement_score":0.9213962,"about_ca_system_score_codex":0.00011839962,"about_ca_system_score_gemma":0.000023844868,"threshold_uncertainty_score":0.5911128},"labels":[],"label_agreement":null},{"id":"W2354874541","doi":"","title":"Analysis of the Usual Faults of S-type Separator","year":2011,"lang":"en","type":"article","venue":"Journal of Zhejiang Institute of Communications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Separator (oil production); Engineering; Computer science; Reliability engineering; Physics","score_opus":0.04351942163362867,"score_gpt":0.27549663444335654,"score_spread":0.23197721280972786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354874541","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":[0.97150075,0.0029510967,0.0057889777,0.000078423014,0.0005697602,0.00012673833,0.000040726343,0.000014567738,0.01892895],"genre_scores_gemma":[0.9968128,0.00026095173,0.002859624,0.000006175205,0.000015487218,6.901916e-7,0.0000017486929,0.0000066015923,0.000035903806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.999025,0.000049048736,0.0006616438,0.00003020197,0.00016635376,0.000067775094],"domain_scores_gemma":[0.9982364,0.00005617545,0.00048516406,0.00082566304,0.00036298018,0.000033622317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017288314,0.00006848171,0.00036358295,0.00019069845,0.00003778016,0.0000019144716,0.00078254135,0.000043545897,0.000011254628],"category_scores_gemma":[0.00006736588,0.000050667066,0.0002462009,0.00066673313,0.00015044607,0.00016877039,0.000051705327,0.00015203808,7.535438e-7],"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":[0.0003227755,0.0012141918,0.09728791,0.00039357066,0.018568262,0.000006735635,0.018952392,0.57469445,0.2324735,0.04481583,0.0011937241,0.010076638],"study_design_scores_gemma":[0.005075101,0.0008532176,0.6247018,0.0015870922,0.012416012,0.00011519805,0.0048543517,0.1592421,0.08971698,0.0017971349,0.09856377,0.001077262],"about_ca_topic_score_codex":0.000044005097,"about_ca_topic_score_gemma":0.00013605357,"teacher_disagreement_score":0.5274139,"about_ca_system_score_codex":0.00002202653,"about_ca_system_score_gemma":0.000047218036,"threshold_uncertainty_score":0.2066143},"labels":[],"label_agreement":null},{"id":"W2355205438","doi":"","title":"TCP/IP congestion Control Based on Control Theory","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Network congestion; Computer science; Slow-start; The Internet; Flow control (data); TCP tuning; Computer network; Control (management); Explicit Congestion Notification; TCP Friendly Rate Control; World Wide Web; Artificial intelligence","score_opus":0.002858108209308009,"score_gpt":0.19512033000965953,"score_spread":0.19226222180035152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355205438","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011757495,0.00018880378,0.9925058,0.00011005265,0.00006513234,0.0010535959,0.00004210765,0.0006003678,0.0042583873],"genre_scores_gemma":[0.99111587,0.0000021003793,0.007033351,0.0010126017,0.00040853047,0.00027558397,0.000023919903,0.000042493513,0.00008553612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897224,0.000036301473,0.000305341,0.00024414583,0.00012213878,0.0003198578],"domain_scores_gemma":[0.99903816,0.0004071411,0.000046595833,0.0003319568,0.000066390385,0.000109769644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002944385,0.00019800937,0.0002212893,0.00011545977,0.00011040267,0.00003489473,0.00018247262,0.00009911643,0.000019736686],"category_scores_gemma":[0.0000011898128,0.00019748574,0.00009117816,0.00015067431,0.000035294182,0.00005224544,0.000004966366,0.00017227036,0.00023461437],"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":[0.00017890778,0.00018169501,0.00057612534,0.00006931503,0.0001466451,0.00000870413,0.00010555225,0.5113799,0.08358432,0.02275569,0.001734043,0.3792791],"study_design_scores_gemma":[0.00767948,0.00010518127,0.012615789,0.000054651202,0.00010252125,0.000022334987,0.00004146171,0.41704232,0.0052796886,0.0026273027,0.5536097,0.0008195568],"about_ca_topic_score_codex":0.000002019805,"about_ca_topic_score_gemma":0.00000506734,"teacher_disagreement_score":0.9899401,"about_ca_system_score_codex":0.00008663448,"about_ca_system_score_gemma":0.00000916107,"threshold_uncertainty_score":0.8053235},"labels":[],"label_agreement":null},{"id":"W2355608403","doi":"","title":"Study of Ball & Beam Control System Based on Quanser Simulation Plant","year":2005,"lang":"en","type":"article","venue":"Jisuanji fangzhen","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Control engineering; Robustness (evolution); Ball (mathematics); Control system; Engineering; Fuzzy logic; Fuzzy control system; Computer science; Mathematics; Temperature control; Control (management); Artificial intelligence","score_opus":0.011726104644392572,"score_gpt":0.23098200073191216,"score_spread":0.21925589608751958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355608403","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":[0.9548223,0.0001281797,0.038878504,0.000019983061,0.0003316998,0.0011318929,0.00007514053,0.00054692023,0.0040653753],"genre_scores_gemma":[0.9995325,4.0560937e-7,0.000056505327,0.000042256994,0.00022913385,0.000037218048,0.0000110932415,0.00003968382,0.000051189516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998831,0.00005130436,0.00040334332,0.00018100986,0.00031032765,0.00022301597],"domain_scores_gemma":[0.9993056,0.00018383883,0.00007459046,0.00032215734,0.000045506487,0.00006831464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013852413,0.0001865546,0.0003629314,0.000102729085,0.000041334846,0.000014824542,0.00011991478,0.00007675932,0.000015957097],"category_scores_gemma":[0.000013114627,0.00016706034,0.00007517279,0.000099981946,0.000007506963,0.00008259602,0.000004911929,0.00010486767,0.00005907877],"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":[0.00009769006,0.0001228497,0.0020926234,0.00004956866,0.00006133217,0.000007046555,0.0003279692,0.9951475,0.0012372296,0.00007335521,0.000059897568,0.00072291517],"study_design_scores_gemma":[0.0030910685,0.00025815077,0.0046685315,0.000055605382,0.00005037683,0.0000011955643,0.0006664693,0.9890894,0.00033558247,0.0000015657716,0.0015965789,0.00018547395],"about_ca_topic_score_codex":0.000039812123,"about_ca_topic_score_gemma":0.00006533113,"teacher_disagreement_score":0.04471021,"about_ca_system_score_codex":0.0001275644,"about_ca_system_score_gemma":0.000006298585,"threshold_uncertainty_score":0.6812523},"labels":[],"label_agreement":null},{"id":"W2355620790","doi":"","title":"The Online Checking System of Ship Station Measuring and Controlling Communication Network Microcomputer","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcomputer; Computer science; Telecommunications network; Real-time computing; Embedded system; Computer network; Telecommunications","score_opus":0.0067378096023647735,"score_gpt":0.1895704883586859,"score_spread":0.18283267875632112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355620790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027536975,0.005109571,0.9659489,0.000056942234,0.00003746894,0.0007405209,0.00001771626,0.00025880735,0.0002931348],"genre_scores_gemma":[0.924301,0.000057773213,0.07500425,0.000015135477,0.00037890466,0.00013778548,0.000056222252,0.000030203439,0.000018680477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989705,0.00004943026,0.0004892331,0.00016273107,0.00009987354,0.00022821124],"domain_scores_gemma":[0.99922234,0.00019632542,0.00013292262,0.00030862537,0.00010748682,0.000032272397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021314189,0.00014979408,0.00021710538,0.000040280327,0.0003233711,0.00008007461,0.00023131633,0.00005690061,2.408845e-7],"category_scores_gemma":[2.4767107e-7,0.00013217756,0.00005271692,0.00016533992,0.00004713851,0.00008137833,0.00004331081,0.00013144333,0.0000029748387],"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":[0.000021778656,0.000060269478,0.001543206,0.0004207028,0.00016292182,6.5271826e-7,0.0003734277,0.662199,0.11076561,0.025245054,0.00085488684,0.19835246],"study_design_scores_gemma":[0.0017853515,0.00002043237,0.012217011,0.00038999208,0.00009692855,0.000031787284,0.00035437517,0.763776,0.005070593,0.0023664169,0.21330969,0.0005814219],"about_ca_topic_score_codex":0.00005130318,"about_ca_topic_score_gemma":0.00006934132,"teacher_disagreement_score":0.8967641,"about_ca_system_score_codex":0.000066560075,"about_ca_system_score_gemma":0.000006607587,"threshold_uncertainty_score":0.5390045},"labels":[],"label_agreement":null},{"id":"W2355875046","doi":"","title":"Comparative Simulation for Speed-varying Process of Torpedo Flux and Pressure Control Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"MATLAB; Engineering; Process (computing); Toolbox; Control theory (sociology); Stability (learning theory); Control system; Torpedo; Power (physics); Control engineering; Lag; Control (management); Computer science; Mechanical engineering","score_opus":0.01703312264907648,"score_gpt":0.28478496272865683,"score_spread":0.26775184007958036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355875046","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":[0.11628086,0.001833914,0.8727676,0.0000028057752,0.00023247833,0.001236587,0.000025770934,0.00015111409,0.0074688387],"genre_scores_gemma":[0.99938613,9.588766e-7,0.00014483929,0.000004573828,0.00012076785,0.000010820383,0.0000042331617,0.00001373899,0.00031391304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936,0.0000084184485,0.00027770438,0.000102146354,0.000097136806,0.00015458625],"domain_scores_gemma":[0.99943334,0.00027286808,0.00005434987,0.000078045574,0.00011795771,0.0000434474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013781284,0.000102912796,0.00029152294,0.000039599156,0.000031226158,0.000013992697,0.000038250848,0.00005391594,0.0000039378874],"category_scores_gemma":[0.0000146787215,0.00008992808,0.000027914692,0.00005009537,0.000013935401,0.00012426804,0.0000023552302,0.00003951191,9.5328977e-7],"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":[0.00009654631,0.0000059628924,0.0002985029,0.00036385184,0.00007525806,2.7540844e-7,0.00047258474,0.98369455,0.014340858,0.00041221257,0.000020595853,0.00021880874],"study_design_scores_gemma":[0.0017431905,0.000039078244,0.00024554477,0.00003529216,0.000036134385,0.0000015876486,0.0005573981,0.9920337,0.0042409976,0.00003975442,0.00092060637,0.00010670176],"about_ca_topic_score_codex":0.0000104623605,"about_ca_topic_score_gemma":0.0000057986713,"teacher_disagreement_score":0.8831053,"about_ca_system_score_codex":0.000010485334,"about_ca_system_score_gemma":0.0000032792989,"threshold_uncertainty_score":0.36671606},"labels":[],"label_agreement":null},{"id":"W2357018349","doi":"","title":"The Application of Matlab Language in Network Maximal-flow","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Flow (mathematics); Flow network; MATLAB; Algorithm; Multi-commodity flow problem; Matrix (chemical analysis); Linear programming; Mass flow; Minimum-cost flow problem; Function (biology); Integer programming; Integer (computer science); Mathematical optimization; Mathematics; Programming language; Mechanics; Physics; Geometry","score_opus":0.002466574720986125,"score_gpt":0.19997781459291825,"score_spread":0.19751123987193211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357018349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005173374,0.0017011646,0.9908587,0.00014202319,0.0000129598375,0.0005917542,0.000007327874,0.00013236063,0.0013803454],"genre_scores_gemma":[0.9167926,0.000050216553,0.08195081,0.000055072444,0.0004418908,0.0005678133,0.000019107669,0.000024044752,0.00009846221],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993985,0.0000107712,0.00024980961,0.000111596724,0.00005594535,0.00017335502],"domain_scores_gemma":[0.99959975,0.000056419198,0.000035865556,0.00026443152,0.000019702647,0.000023833969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007423479,0.00008345566,0.000109568224,0.00002649656,0.000056494428,0.000015746631,0.00019574458,0.000037234924,0.0000022069444],"category_scores_gemma":[1.5552965e-7,0.000071319824,0.00003473475,0.00020698084,0.000020217658,0.000040641386,0.000019254527,0.00008220433,0.000060498623],"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":[0.0000023303198,0.000017072542,0.00018556579,0.000016031045,0.000010987041,1.2736908e-7,0.00021693073,0.3024544,0.014133575,0.0019870575,0.000911992,0.6800639],"study_design_scores_gemma":[0.00023648537,0.0000032998114,0.0012617244,0.000008097052,0.000004569392,0.0000041644207,0.000043878652,0.2751768,0.0017473915,0.00041637075,0.720987,0.000110220906],"about_ca_topic_score_codex":0.0000124793505,"about_ca_topic_score_gemma":0.00015234282,"teacher_disagreement_score":0.9116192,"about_ca_system_score_codex":0.000040300503,"about_ca_system_score_gemma":0.0000038591584,"threshold_uncertainty_score":0.2908338},"labels":[],"label_agreement":null},{"id":"W2357051493","doi":"","title":"Method of Anterior Chamber Diameter Forecasting System Based on B Pneural Network","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Simulation; Artificial intelligence","score_opus":0.010124600013990055,"score_gpt":0.23377520449670505,"score_spread":0.223650604482715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357051493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045111035,0.00009631138,0.9922609,0.000008870014,0.000058447076,0.000537256,0.000012165132,0.00026192726,0.0022530544],"genre_scores_gemma":[0.6596887,5.03768e-7,0.33977267,0.000057561127,0.00034502128,0.0000805021,0.0000065572845,0.000030473895,0.000018007095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903655,0.000021565154,0.00038152843,0.00018830928,0.00009118829,0.00028083034],"domain_scores_gemma":[0.99936974,0.000196617,0.0000734329,0.00025389917,0.000045598557,0.00006069207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022537123,0.00015089336,0.00024728535,0.000060722057,0.00006268812,0.000015218975,0.000111559035,0.00005915873,0.0000029967064],"category_scores_gemma":[2.934629e-7,0.00014637965,0.00009822351,0.0002210893,0.00001311189,0.000034581888,0.000016656259,0.00010142918,0.000016970647],"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":[0.00002553847,0.000041815885,0.0005880679,0.00037097879,0.00006308212,0.000008190418,0.00015104443,0.5683147,0.066901214,0.0007470273,0.0003613696,0.362427],"study_design_scores_gemma":[0.00047171078,0.00003196405,0.0011887227,0.00016039466,0.000021716114,0.00005229312,0.000032086577,0.95165765,0.008774299,0.000026274518,0.037336133,0.00024678334],"about_ca_topic_score_codex":0.0000050693698,"about_ca_topic_score_gemma":0.000004455463,"teacher_disagreement_score":0.6551776,"about_ca_system_score_codex":0.000055128203,"about_ca_system_score_gemma":0.000003871376,"threshold_uncertainty_score":0.59691894},"labels":[],"label_agreement":null},{"id":"W2357165421","doi":"","title":"Working Process Simulation of Some Missile Dynamical System System","year":2013,"lang":"en","type":"article","venue":"Modern Manufacturing Technology and Equipment","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Missile; Acceleration; Process (computing); Work (physics); Displacement (psychology); Set (abstract data type); Relation (database); Computer science; Mechanical engineering; Computer simulation; Simulation; Engineering; Aerospace engineering; Physics; Classical mechanics","score_opus":0.007341500899486489,"score_gpt":0.20584499809194176,"score_spread":0.19850349719245527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357165421","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":[0.8886757,0.0006248075,0.10854248,0.00003077239,0.00020558243,0.0003723381,0.0000014997939,0.0010671273,0.0004797152],"genre_scores_gemma":[0.99955404,0.0000044571957,0.00025753625,0.000002926937,0.00003751959,0.000076990094,0.0000023213329,0.00002724698,0.000036985184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999031,0.000011531226,0.00032728718,0.00021360566,0.00012950087,0.00028706007],"domain_scores_gemma":[0.999598,0.000027914923,0.00006958045,0.00023244356,0.000021488653,0.000050561277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006144323,0.00017976761,0.00030658586,0.00022021991,0.000080302336,0.00001918278,0.00013673387,0.00021630978,0.0000028885897],"category_scores_gemma":[0.000003376861,0.00016467518,0.000033144264,0.00006326094,0.000043119595,0.00012453135,0.00004204336,0.00016213988,0.000011690119],"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":[0.000012176606,0.000013569028,0.000521497,0.0012718454,0.00008233037,0.00000791809,0.00020378474,0.9585533,0.009297781,0.0024838182,0.0000033216274,0.027548656],"study_design_scores_gemma":[0.00031794413,0.000023725115,0.00025457886,0.00033876352,0.00001737735,0.000017573757,0.0005343503,0.96721077,0.028752282,0.0023123603,0.00004353772,0.00017672997],"about_ca_topic_score_codex":0.000005785345,"about_ca_topic_score_gemma":0.0000010007864,"teacher_disagreement_score":0.11087833,"about_ca_system_score_codex":0.00013188299,"about_ca_system_score_gemma":0.0000036033462,"threshold_uncertainty_score":0.6715259},"labels":[],"label_agreement":null},{"id":"W2357482677","doi":"","title":"RBFNN Center Selection Method Based on the Kohonen Network and OLS Algorithm","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Self-organizing map; Algorithm; Artificial neural network; Selection (genetic algorithm); Radial basis function; Artificial intelligence; Pattern recognition (psychology); Data mining; Function (biology)","score_opus":0.007386699730540788,"score_gpt":0.20922627729470547,"score_spread":0.20183957756416468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357482677","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00055695,0.00010504494,0.99745315,0.00017243612,0.00002585589,0.00053634634,0.0000097500015,0.00021361119,0.0009268683],"genre_scores_gemma":[0.16873477,0.000043100776,0.8275538,0.0012121099,0.0012288454,0.00086335925,0.000035987036,0.00006485304,0.00026319548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942213,0.000034302437,0.0001367503,0.00016805451,0.00006466846,0.00017410288],"domain_scores_gemma":[0.9996336,0.00011276983,0.00002180149,0.00016495351,0.000025639918,0.000041222385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006843488,0.000115866664,0.00011162647,0.00002920899,0.00022786997,0.000022937746,0.00009563551,0.000042544805,0.000007537502],"category_scores_gemma":[1.7637112e-7,0.00009256553,0.00003900736,0.00016665971,0.00001832657,0.000032577238,0.000012256316,0.00012293019,0.000039088496],"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":[0.000007165619,0.00008075419,0.0007267728,0.000027262586,0.00009183186,0.0000019975498,0.00027569223,0.48839208,0.00838815,0.0012103125,0.025201049,0.47559693],"study_design_scores_gemma":[0.00022574005,0.000009404527,0.0010166784,0.000007360221,0.000005935445,0.00003195873,0.0000039414354,0.6405828,0.0005698452,0.00016592338,0.35727176,0.000108655935],"about_ca_topic_score_codex":0.000005457604,"about_ca_topic_score_gemma":0.0000021773888,"teacher_disagreement_score":0.47548828,"about_ca_system_score_codex":0.00002911035,"about_ca_system_score_gemma":0.0000045782213,"threshold_uncertainty_score":0.3774713},"labels":[],"label_agreement":null},{"id":"W2358276799","doi":"","title":"Temperature Detect Switch with Temperature Adjustable Based on MCU","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcontroller; Multivibrator; Computer science; Linearity; Flexibility (engineering); Software; Sensitivity (control systems); Embedded system; Computer hardware; Electrical engineering; Electronic engineering; Operating system; Voltage; Mathematics","score_opus":0.0024044316033884692,"score_gpt":0.18344825402175233,"score_spread":0.18104382241836386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358276799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024655558,0.000385441,0.9670592,0.00012930784,0.000052516043,0.0012675714,0.000037934667,0.0009286619,0.005483828],"genre_scores_gemma":[0.9523088,0.0000047307212,0.04612427,0.0004775641,0.00042548781,0.00022040182,0.0000487909,0.000069992304,0.0003199941],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899006,0.000009436014,0.00020561508,0.00029760442,0.0001436891,0.00035362062],"domain_scores_gemma":[0.9993134,0.000063876825,0.0000284937,0.00040864616,0.00007412283,0.00011142938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008150092,0.0002401252,0.00019704999,0.00011094445,0.00015528951,0.00006692345,0.00019922011,0.00013696276,0.0000113833685],"category_scores_gemma":[2.4029936e-7,0.00020066477,0.00005565039,0.00040722347,0.000019121688,0.00006714949,0.000010081533,0.00031999682,0.000071010916],"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":[0.00005500895,0.00007878797,0.00017128403,0.00011458139,0.00006144795,0.000015545309,0.00010614624,0.1846321,0.76595,0.00043278997,0.0049716625,0.043410644],"study_design_scores_gemma":[0.0017790844,0.00012574872,0.00210008,0.00010843114,0.00003947595,0.000060045793,0.00006636125,0.016298864,0.17568201,0.00009519476,0.8028089,0.0008358477],"about_ca_topic_score_codex":0.0000039013353,"about_ca_topic_score_gemma":0.000030492842,"teacher_disagreement_score":0.9276532,"about_ca_system_score_codex":0.00008202286,"about_ca_system_score_gemma":0.000016748125,"threshold_uncertainty_score":0.81828713},"labels":[],"label_agreement":null},{"id":"W2358490971","doi":"","title":"Research and Design of a Pocket Military Transmitter-Receiver Testing System","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transmitter; Computer science; Reliability (semiconductor); Electromagnetic shielding; Embedded system; Computer hardware; Electrical engineering; Telecommunications; Power (physics); Engineering; Physics","score_opus":0.023619714734415143,"score_gpt":0.23824119380647385,"score_spread":0.2146214790720587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358490971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021430332,0.0018815721,0.97479117,0.000016012003,0.000008629068,0.00073826354,0.000017996386,0.00019837281,0.0009176296],"genre_scores_gemma":[0.86925817,0.000005195735,0.13031442,0.0000059966615,0.00012659846,0.00021863409,0.000006465339,0.000021475511,0.000043056865],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992548,0.000035929614,0.00024110629,0.00017343962,0.00009750031,0.00019720968],"domain_scores_gemma":[0.999475,0.00019857375,0.000014885585,0.0001715183,0.00010471212,0.00003532695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014510569,0.00009519915,0.00015192838,0.00010086055,0.000090825975,0.000011328605,0.000119353936,0.000046757334,0.0000013022961],"category_scores_gemma":[1.9632496e-7,0.0000976535,0.00002092188,0.00027533862,0.0000498052,0.000047402646,0.0000145220965,0.000104567705,0.000012348046],"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":[0.0000116298,0.00009330142,0.00047354898,0.0008710524,0.000057162746,0.000004738499,0.00035952675,0.15925227,0.75112665,0.0019064072,0.0029185994,0.082925096],"study_design_scores_gemma":[0.0023923803,0.00020604485,0.015134866,0.0004968144,0.000068045454,0.0002945567,0.00069484947,0.83738697,0.044444934,0.0042091934,0.09364235,0.0010289914],"about_ca_topic_score_codex":0.000107908425,"about_ca_topic_score_gemma":0.000004178434,"teacher_disagreement_score":0.8478278,"about_ca_system_score_codex":0.000039055223,"about_ca_system_score_gemma":0.0000066123407,"threshold_uncertainty_score":0.3982194},"labels":[],"label_agreement":null},{"id":"W2358913356","doi":"","title":"Centralized Automatic Control for a Large-scale Residential Quarter Water Source Heat Pump System","year":2002,"lang":"en","type":"article","venue":"Journal of Wuhan Urban Construction Institute","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Heat pump; Control (management); Control system; Scale (ratio); Scheme (mathematics); Engineering; Control engineering; Computer science; Mechanical engineering; Electrical engineering; Mathematics; Artificial intelligence; Heat exchanger","score_opus":0.006252715137923751,"score_gpt":0.1897167717742925,"score_spread":0.18346405663636875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358913356","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":[0.28623468,0.0005537916,0.70367247,0.00020953603,0.007819006,0.0005822977,0.000027616477,0.0003132397,0.0005873842],"genre_scores_gemma":[0.99682796,0.000013192795,0.0014731113,0.000030453955,0.0013818521,0.000018087558,0.0000027841838,0.00003698171,0.00021555889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980741,0.000059207116,0.0009651891,0.00014795412,0.0003040045,0.0004495451],"domain_scores_gemma":[0.9992281,0.00003598027,0.0001696157,0.00019985897,0.00018670766,0.00017969255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020343637,0.00023443019,0.0005836716,0.0002136776,0.00018462066,0.000107499276,0.0001582311,0.0001291187,0.00007407351],"category_scores_gemma":[0.000017065102,0.00018417955,0.00032619154,0.000089121306,0.000059722668,0.0005875514,0.000006756678,0.00022001336,0.00003505504],"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":[0.0023225655,0.0006001046,0.010871742,0.007893478,0.0072396505,0.00069373794,0.020912154,0.5200162,0.31173322,0.012015597,0.08415211,0.021549439],"study_design_scores_gemma":[0.019233698,0.0002739354,0.00013751387,0.00072824943,0.0005552026,0.004499596,0.0026712709,0.8550878,0.0077230935,0.000107689455,0.10828143,0.00070047315],"about_ca_topic_score_codex":0.000005867477,"about_ca_topic_score_gemma":0.0000111869795,"teacher_disagreement_score":0.7105933,"about_ca_system_score_codex":0.00021171392,"about_ca_system_score_gemma":0.000013496257,"threshold_uncertainty_score":0.7510624},"labels":[],"label_agreement":null},{"id":"W2359091282","doi":"","title":"The Study of Smart Conditioner in Iarge Bridge Health Monitoring","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Computer science; Automation; Yangtze river; Character (mathematics); Building automation; Engineering","score_opus":0.011419161957780614,"score_gpt":0.2694007393319333,"score_spread":0.2579815773741527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359091282","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":[0.41003537,0.00062968925,0.5875934,0.000047369944,0.000066261295,0.0012205761,0.0000069777634,0.00011760131,0.00028276825],"genre_scores_gemma":[0.99823016,0.000015458249,0.0014298107,0.0000132078185,0.00012675257,0.00014574348,0.0000029417174,0.000013482523,0.000022464597],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992827,0.0000147458295,0.0003335155,0.000106097374,0.000072492905,0.00019041024],"domain_scores_gemma":[0.99961764,0.00007910719,0.000042652253,0.00019695034,0.000026349844,0.00003728499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019924832,0.00007491952,0.000123976,0.000055830875,0.00010278129,0.000013132131,0.00013243311,0.000020051257,5.702338e-7],"category_scores_gemma":[1.9194597e-7,0.00006544473,0.000022751006,0.00019584807,0.000012637199,0.000033822533,0.000015592304,0.00009381535,0.000010143686],"study_design_candidate":"design_other","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":[0.00003163985,0.0011009208,0.089460686,0.0001864405,0.00020892308,0.0000057687976,0.010057343,0.041891214,0.050579146,0.0035466042,0.0021088875,0.80082244],"study_design_scores_gemma":[0.0022322163,0.000131141,0.7033141,0.000051148945,0.000011583032,0.000014050501,0.002140885,0.0032914123,0.0063716033,0.00040714204,0.28165066,0.00038404472],"about_ca_topic_score_codex":0.00006579061,"about_ca_topic_score_gemma":0.00020669532,"teacher_disagreement_score":0.8004384,"about_ca_system_score_codex":0.000062202955,"about_ca_system_score_gemma":0.0000057904244,"threshold_uncertainty_score":0.26687586},"labels":[],"label_agreement":null},{"id":"W2360392856","doi":"","title":"Development of ZLR Type Dental Auto Thermal Cycling Machine","year":2009,"lang":"en","type":"article","venue":"Chinese Medical Equipment Journal","topic":"Advanced Sensor and Control Systems","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":"Discovery Air (Canada)","funders":"","keywords":"Temperature cycling; Cycling; Test (biology); Mechanical engineering; Thermal fatigue; Engineering; Computer science; Thermal; Reliability engineering; Geology; Physics","score_opus":0.008181384994568107,"score_gpt":0.25565627433448973,"score_spread":0.24747488933992162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360392856","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":[0.97066927,0.0016285218,0.02320177,0.000121240184,0.0011627264,0.00009030699,0.0000011233594,0.000102106766,0.0030229348],"genre_scores_gemma":[0.9968639,0.00006229447,0.0023622653,0.00011546171,0.00051134895,0.0000012767127,0.000005433112,0.000019930314,0.00005810236],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804497,0.00002802427,0.00067968614,0.00011089802,0.0007938403,0.0003425629],"domain_scores_gemma":[0.99935627,0.000044757067,0.0000880565,0.00011625026,0.00004419382,0.00035048914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004560864,0.00020116693,0.00033926943,0.0000904826,0.00010615158,0.000023501678,0.0002633958,0.000095179035,0.00045919121],"category_scores_gemma":[0.00013378386,0.00013970952,0.00009277978,0.00014940625,0.00002592617,0.00010800394,0.000026822365,0.00044700978,0.00002669502],"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":[0.00023896965,0.00039154847,0.011967713,0.00012970292,0.00042378873,0.00052807236,0.0034774207,0.014364066,0.35606012,0.00020550186,0.0003689495,0.6118441],"study_design_scores_gemma":[0.0218258,0.0012053655,0.20176889,0.0024402675,0.00019329226,0.004533583,0.0010796894,0.7011528,0.022716723,0.0029448394,0.036790106,0.0033486567],"about_ca_topic_score_codex":7.5668515e-7,"about_ca_topic_score_gemma":0.000004051527,"teacher_disagreement_score":0.68678874,"about_ca_system_score_codex":0.000106488085,"about_ca_system_score_gemma":0.00007916828,"threshold_uncertainty_score":0.56971884},"labels":[],"label_agreement":null},{"id":"W2361477779","doi":"","title":"Application of Motion Control IC MCX314 in Auto-Clinical Spectrophotometer System","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Reliability (semiconductor); Realization (probability); Motion control; Motion (physics); Scheme (mathematics); Control (management); Control system; Security system; Control engineering; Computer hardware; Artificial intelligence; Computer security; Electrical engineering","score_opus":0.004809573425439426,"score_gpt":0.22718106007888964,"score_spread":0.22237148665345022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361477779","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":[0.02975652,0.00020383262,0.9678779,0.000034294128,0.00004265529,0.001255766,0.000020602876,0.00030601345,0.00050237385],"genre_scores_gemma":[0.9792703,0.000010476035,0.019871576,0.000029671388,0.00019811562,0.0005640967,0.000019775875,0.000029464067,0.0000065608588],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986998,0.000028480204,0.00068190176,0.00027347374,0.00010580206,0.00021056991],"domain_scores_gemma":[0.99937654,0.00005107397,0.00009746956,0.00035890183,0.00005478506,0.00006120743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014956055,0.0001542885,0.00034251343,0.0001510601,0.000033738575,0.000014727597,0.00020652203,0.0001096788,0.0000018559375],"category_scores_gemma":[4.801809e-7,0.0001629118,0.000110069865,0.00033489254,0.000034039527,0.000073443676,0.000014412935,0.00016182022,0.00010317475],"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":[0.00003530248,0.0004386478,0.0046019875,0.0005784904,0.0001662199,0.0000052094238,0.00030677643,0.31468546,0.47519714,0.020473454,0.00008342386,0.18342791],"study_design_scores_gemma":[0.019860057,0.00024083673,0.09774669,0.00036986207,0.00021144716,0.00019998719,0.00028366852,0.7355214,0.04743043,0.005932317,0.09028438,0.0019189463],"about_ca_topic_score_codex":0.000039468283,"about_ca_topic_score_gemma":0.0000138024025,"teacher_disagreement_score":0.94951373,"about_ca_system_score_codex":0.00020087378,"about_ca_system_score_gemma":0.000012285808,"threshold_uncertainty_score":0.6643351},"labels":[],"label_agreement":null},{"id":"W2361498378","doi":"","title":"Porting of μC/OS-II on uPSD3254BV and Its Application","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Porting; Computer science; Operating system; Port (circuit theory); Open source; Embedded system; Wireless; Real-time operating system; Software; Electrical engineering","score_opus":0.003896884292461207,"score_gpt":0.20517138087455733,"score_spread":0.20127449658209612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361498378","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":[0.099175595,0.00076193945,0.89313793,0.00019552789,0.00001554397,0.0010125093,0.00001596548,0.00035713604,0.0053278757],"genre_scores_gemma":[0.9930422,0.000022159538,0.0065238443,0.000100780315,0.00012518813,0.000103292215,0.0000142698145,0.000013645948,0.000054663335],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936247,0.000005274324,0.0002594361,0.00017400579,0.00006542693,0.00013336373],"domain_scores_gemma":[0.9996525,0.000020300087,0.00006033086,0.00018139217,0.00003884849,0.000046645684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042547872,0.00010937735,0.00014956141,0.00005990426,0.000083092564,0.000009021868,0.00010401566,0.000047411493,0.000001998508],"category_scores_gemma":[3.181903e-7,0.00011412662,0.000032336015,0.00013759763,0.000008695736,0.000049999002,0.0000135868795,0.00007472668,0.000019367899],"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":[0.0000037563161,0.000060893984,0.0000475076,0.000043847525,0.000018424176,2.559013e-7,0.00021854704,0.011137322,0.49570233,0.014138373,0.00029132504,0.4783374],"study_design_scores_gemma":[0.0016151828,0.0002404332,0.012786059,0.000108699234,0.00006299269,0.000051175666,0.000077657794,0.2223945,0.1738914,0.007113975,0.5807062,0.0009517538],"about_ca_topic_score_codex":0.0000013784489,"about_ca_topic_score_gemma":7.5202587e-7,"teacher_disagreement_score":0.89386654,"about_ca_system_score_codex":0.000019653404,"about_ca_system_score_gemma":0.000003170347,"threshold_uncertainty_score":0.46539482},"labels":[],"label_agreement":null},{"id":"W2361842225","doi":"","title":"The Design of the Controlling System of Embedded Oxygen Injecting Apparatus","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Beauty; Reliability (semiconductor); Embedded system; Software; Oxygen; Software design; Reliability engineering; Software development; Operating system; Chemistry","score_opus":0.0049077788933625886,"score_gpt":0.18494707022404444,"score_spread":0.18003929133068186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361842225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048072715,0.0010762947,0.9919346,0.000010666066,0.00004532874,0.00095528323,0.0000087451235,0.00010816326,0.0010536208],"genre_scores_gemma":[0.9870278,0.0000044694643,0.012527422,0.000004977012,0.00015166515,0.00019718455,0.0000016622456,0.000018655748,0.000066163404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919295,0.000043477765,0.00040258456,0.000106683015,0.00009446526,0.00015983425],"domain_scores_gemma":[0.99924976,0.0002086484,0.00012766145,0.000322888,0.00007588787,0.000015160762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014420638,0.00010335527,0.00018468784,0.000024480589,0.00015834611,0.00002029959,0.00029608008,0.00004213421,2.0828291e-7],"category_scores_gemma":[5.707546e-7,0.00006713035,0.000083119885,0.00016716585,0.00003734917,0.000025585463,0.0000243615,0.00008379572,0.0000033567828],"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":[0.0000053195367,0.000012266482,0.000045732348,0.00007838651,0.00004877013,8.4850555e-8,0.00011981086,0.6558586,0.33004534,0.007847503,0.00026274062,0.005675477],"study_design_scores_gemma":[0.0013651076,0.000021078318,0.001138039,0.00015018121,0.00009296502,0.000033739805,0.0005257364,0.8041717,0.121026695,0.0008254072,0.07029315,0.00035623088],"about_ca_topic_score_codex":0.000032172567,"about_ca_topic_score_gemma":0.000004747531,"teacher_disagreement_score":0.98222053,"about_ca_system_score_codex":0.000037219,"about_ca_system_score_gemma":0.000010563693,"threshold_uncertainty_score":0.27374962},"labels":[],"label_agreement":null},{"id":"W2362330151","doi":"","title":"Research on Sensor Interface of Wireless Sensor Network","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless sensor network; Computer science; Interface (matter); Key distribution in wireless sensor networks; Sensor web; Electronics; Mobile wireless sensor network; Visual sensor network; Electro-optical sensor; Embedded system; Wireless; Computer network; Telecommunications; Wireless network; Electrical engineering; Operating system","score_opus":0.01840524360934138,"score_gpt":0.3086081266907772,"score_spread":0.2902028830814358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362330151","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":[0.05045088,0.00036274517,0.9398612,0.00018644884,0.00004216487,0.00084048836,0.000016521522,0.00032804726,0.00791155],"genre_scores_gemma":[0.9782066,0.000023395196,0.020920508,0.00006614347,0.00043246392,0.00006652565,0.0000067030523,0.00002417367,0.00025351378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989996,0.000041382013,0.00026857536,0.00021618904,0.00015140891,0.00032285703],"domain_scores_gemma":[0.99931085,0.00012017408,0.000030297293,0.00036641702,0.00010585079,0.00006640204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013490606,0.000129733,0.00020550229,0.00009400452,0.00009154257,0.000022964625,0.00022605027,0.00007154453,0.000006361759],"category_scores_gemma":[2.4804785e-7,0.00013054088,0.000057581492,0.00038410514,0.000034718432,0.00003489495,0.000019532517,0.00024463754,0.00014792729],"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":[0.000025709409,0.00012587651,0.000050009192,0.00006622186,0.000057514164,0.0000025373613,0.0003812032,0.47471702,0.2916071,0.0062192925,0.010648982,0.2160985],"study_design_scores_gemma":[0.0012475449,0.00029292575,0.0027070057,0.00023951332,0.000025130668,0.000043072996,0.00053269375,0.093146436,0.09443514,0.0030305074,0.80351204,0.00078801066],"about_ca_topic_score_codex":0.000003528849,"about_ca_topic_score_gemma":0.0000011424221,"teacher_disagreement_score":0.9277557,"about_ca_system_score_codex":0.000051732615,"about_ca_system_score_gemma":0.000006399536,"threshold_uncertainty_score":0.5323302},"labels":[],"label_agreement":null},{"id":"W2362365178","doi":"","title":"Design and Application of New DSP chip TMS320F2812 in Electric Motor Controlling System","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signal processing; Chip; Electric motor; Embedded system; Induction motor; Asynchronous communication; System on a chip; Texas Instruments DaVinci; Electronic circuit; Key (lock); Computer hardware; Digital signal processor; Electrical engineering; Voltage; Engineering; Telecommunications","score_opus":0.0053351794122192655,"score_gpt":0.20300438937987147,"score_spread":0.19766920996765222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362365178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013134338,0.0011942881,0.983805,0.000009454496,0.0000120819395,0.0014414297,0.0000020536509,0.00019447821,0.000206881],"genre_scores_gemma":[0.92038244,0.000011900589,0.07925022,0.000012686812,0.00014034718,0.00015181948,0.000004562261,0.000024680756,0.000021317905],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906415,0.000014505554,0.00041999112,0.00019877074,0.00007621691,0.00022636469],"domain_scores_gemma":[0.99951977,0.00010747488,0.000067322486,0.0001957183,0.000033154476,0.00007657244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021077855,0.00013409073,0.00024261195,0.00017705215,0.00003901356,0.000015052118,0.00012977375,0.00007528625,4.075455e-7],"category_scores_gemma":[3.4104232e-7,0.00014528456,0.000032353262,0.00033381727,0.000010616828,0.000055555323,0.000011077198,0.00009982922,0.000010433007],"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":[0.000034926412,0.000030195008,0.0005346855,0.00015055953,0.000035386285,6.8953426e-7,0.0001913247,0.05765394,0.70302266,0.0035084547,0.00003626962,0.23480093],"study_design_scores_gemma":[0.0029254458,0.00006580461,0.013383246,0.00007505768,0.00004671214,0.000044330503,0.00010157464,0.9129211,0.04701896,0.00066799537,0.022225548,0.00052428397],"about_ca_topic_score_codex":0.00003223239,"about_ca_topic_score_gemma":0.000005598011,"teacher_disagreement_score":0.90724814,"about_ca_system_score_codex":0.00008722506,"about_ca_system_score_gemma":0.000011141504,"threshold_uncertainty_score":0.59245324},"labels":[],"label_agreement":null},{"id":"W2362816992","doi":"","title":"Design of a Wells Parameters Gathering System Module Based on ZigBee Technology","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Debugging; Computer science; Embedded system; Wireless; Function (biology); Computer hardware; Architecture; Wireless network; Operating system","score_opus":0.006413779481637903,"score_gpt":0.19096960239712407,"score_spread":0.18455582291548617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362816992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004009761,0.00013199255,0.9940661,0.000051978852,0.000015353697,0.00071482564,0.0000056828585,0.0005550269,0.00044926975],"genre_scores_gemma":[0.8293406,0.0000018800876,0.17039889,0.000047022222,0.00002715899,0.00015651432,0.0000026804446,0.00001783749,0.0000074487307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993208,0.000013725461,0.00023745054,0.00018067812,0.00006753043,0.00017980256],"domain_scores_gemma":[0.9995106,0.0000440795,0.000044356613,0.0003361054,0.000029658564,0.00003519432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046927136,0.00013436851,0.00020583629,0.00015612805,0.000036207763,0.000011849526,0.00020191919,0.00007732008,0.0000010672649],"category_scores_gemma":[2.080397e-7,0.00013859724,0.000047525995,0.00026195217,0.000017643735,0.00002587606,0.000006539288,0.00008958616,0.000038566624],"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":[0.0000040893665,0.000028330553,0.000008967356,0.000036109454,0.000012542878,8.378899e-7,0.00002339427,0.81583124,0.13436848,0.0010073278,0.000060823204,0.04861785],"study_design_scores_gemma":[0.00040842305,0.00006772459,0.000049248807,0.0000819888,0.000012706984,0.000009687375,0.000025844645,0.9251041,0.0678162,0.0002542191,0.00598147,0.0001884231],"about_ca_topic_score_codex":0.0000014368568,"about_ca_topic_score_gemma":9.6432345e-8,"teacher_disagreement_score":0.8253308,"about_ca_system_score_codex":0.000063721054,"about_ca_system_score_gemma":0.0000057319044,"threshold_uncertainty_score":0.56518316},"labels":[],"label_agreement":null},{"id":"W2362977897","doi":"","title":"Analyzing of the fallen of freshwater capacity for Alfa Laval JWP-26-C80 freshwater generator","year":2011,"lang":"en","type":"article","venue":"China Shiprepair","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seawater; Environmental science; Marine engineering; Engineering; Generator (circuit theory); Oceanography; Geology; Physics; Power (physics)","score_opus":0.020696778858421663,"score_gpt":0.19946207874770258,"score_spread":0.17876529988928092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2362977897","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":[0.9889626,0.00035864447,0.008282643,0.000014714411,0.00046313507,0.0003814124,0.00019528776,0.0001990584,0.0011425023],"genre_scores_gemma":[0.99498415,0.000008509519,0.004578575,0.000011344256,0.00014719904,0.00003258582,0.0000042548504,0.00005295996,0.00018042499],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896365,0.00005012584,0.000393655,0.00018407425,0.00013460148,0.00027387156],"domain_scores_gemma":[0.99925905,0.000033021952,0.000088665365,0.00049975194,0.00006245386,0.000057063524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018399685,0.00018792349,0.00034683803,0.000049731498,0.000056672743,0.000006691364,0.00029033085,0.00010157451,0.00005509115],"category_scores_gemma":[0.000032426156,0.00012697969,0.00027184602,0.000082744344,0.000066881854,0.00010704175,0.000040754123,0.000119686076,0.0000045156685],"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":[0.00031573343,0.00022887503,0.086656675,0.0016683894,0.0011659004,0.0000066388347,0.022440106,0.027626626,0.84601396,0.0030352469,0.008064992,0.00277683],"study_design_scores_gemma":[0.0015233589,0.00014842572,0.02107306,0.0001492282,0.00015617792,0.0000084398835,0.00022211636,0.056991827,0.8974292,0.0034708334,0.018248085,0.0005792491],"about_ca_topic_score_codex":0.00026854494,"about_ca_topic_score_gemma":0.001691811,"teacher_disagreement_score":0.06558362,"about_ca_system_score_codex":0.000028405124,"about_ca_system_score_gemma":0.000009990737,"threshold_uncertainty_score":0.51780814},"labels":[],"label_agreement":null},{"id":"W2363589330","doi":"","title":"Self-Contained Seawater Temperature Measure Circuit Design Based On PSoC and NTC","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PSoC; Computer science; Seawater; Dissipation; Chip; Measure (data warehouse); Power (physics); Function (biology); System on a chip; Electrical engineering; Embedded system; Telecommunications; Physics; Thermodynamics; Engineering; Geology","score_opus":0.009571037974712036,"score_gpt":0.17624336494268683,"score_spread":0.1666723269679748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363589330","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027482293,0.00031604408,0.9940793,0.00009241633,0.00002345978,0.0009821472,0.000013792944,0.00077431754,0.0009703104],"genre_scores_gemma":[0.94663703,0.000017435927,0.05208699,0.00037289888,0.00023696107,0.00042887154,0.000028348504,0.00004960651,0.00014182396],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.999221,0.000029224246,0.00017085425,0.00025653225,0.00010510721,0.0002172367],"domain_scores_gemma":[0.9995129,0.000055785753,0.000020284322,0.0002686,0.000052697003,0.00008973765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005481066,0.00019116505,0.00018239782,0.000069925045,0.00018629177,0.00003577269,0.00012936015,0.00010107723,0.000005098346],"category_scores_gemma":[2.6006305e-7,0.00017977114,0.000048237733,0.00013773011,0.00002093796,0.000058508354,0.000009790946,0.00016158776,0.000067596375],"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":[0.00006588178,0.00033965157,0.0010429205,0.00042788143,0.00038880197,0.00005994758,0.0027034972,0.28470203,0.6291012,0.0018497672,0.030103676,0.049214717],"study_design_scores_gemma":[0.0039239046,0.00014013844,0.0025196315,0.00007991284,0.00007990148,0.0002752054,0.00004410859,0.21880943,0.034168456,0.00071091356,0.73787713,0.0013712377],"about_ca_topic_score_codex":0.000002629331,"about_ca_topic_score_gemma":0.0000011774341,"teacher_disagreement_score":0.94388884,"about_ca_system_score_codex":0.000075362586,"about_ca_system_score_gemma":0.000018990148,"threshold_uncertainty_score":0.73308545},"labels":[],"label_agreement":null},{"id":"W2363634929","doi":"","title":"Apply of FastBit in Traffic Measurement System","year":2012,"lang":"en","type":"article","venue":"Digital Communication","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Bitmap; Computer science; Index (typography); Column (typography); Work (physics); Data mining; Database; Real-time computing; Computer network; Artificial intelligence; World Wide Web","score_opus":0.01540583672003973,"score_gpt":0.19002022866081386,"score_spread":0.17461439194077413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363634929","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":[0.91267323,0.00686884,0.0062174625,0.000012435873,0.00012205784,0.0003603974,0.000012232337,0.00027022662,0.07346314],"genre_scores_gemma":[0.999864,0.000011937213,0.00005953658,0.0000012540373,0.000013219499,0.000020383846,0.000010884387,0.000011377419,0.000007445068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994935,0.00001960479,0.00020947463,0.00003356711,0.00013182832,0.00011206518],"domain_scores_gemma":[0.99956584,0.000021473632,0.00003132322,0.00032291294,0.000031566386,0.00002688204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015067938,0.00005988121,0.00011385912,0.000040866802,0.000019173298,0.000009710702,0.0001295221,0.000026935762,6.480236e-7],"category_scores_gemma":[0.00001052583,0.000060949635,0.000025798876,0.00008597685,0.000010332091,0.00028015175,0.000020542248,0.000057812147,0.0000141424625],"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":[0.00010140963,0.00074530236,0.029326372,0.0020097939,0.00025586403,0.0000013912733,0.01597745,0.4513455,0.037837908,0.03408045,0.00032739356,0.42799118],"study_design_scores_gemma":[0.009602128,0.00028597572,0.13079698,0.004066329,0.00013211284,0.00008775835,0.03582872,0.6757419,0.020871682,0.00046917005,0.1187493,0.003367957],"about_ca_topic_score_codex":0.000004330751,"about_ca_topic_score_gemma":0.00000973135,"teacher_disagreement_score":0.42462322,"about_ca_system_score_codex":0.00011595315,"about_ca_system_score_gemma":0.0000025681536,"threshold_uncertainty_score":0.2485454},"labels":[],"label_agreement":null},{"id":"W2363640671","doi":"","title":"Analysis of network device driver mechanism based on Linux","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Mechanism (biology); Operating system; Embedded system","score_opus":0.0037146215040547823,"score_gpt":0.1917998152634223,"score_spread":0.18808519375936752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363640671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005863786,0.00007947922,0.9916183,0.00001836296,0.000016152264,0.00027571162,0.000022850285,0.00017254431,0.0019328144],"genre_scores_gemma":[0.9531402,0.000001717713,0.04629277,0.0001021792,0.00020253276,0.00011120921,0.00007383912,0.000018250328,0.000057284487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993721,0.000011183165,0.00022885085,0.00015687865,0.00007999917,0.00015098856],"domain_scores_gemma":[0.99956346,0.000057587797,0.000042346743,0.0002663463,0.000042315638,0.000027936012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003843773,0.000107987704,0.00021236361,0.00012946158,0.00004769999,0.000012277295,0.00013488648,0.0000488169,0.000013230028],"category_scores_gemma":[6.3325096e-8,0.00011245124,0.00012163232,0.0006627907,0.0000098958035,0.000021686137,0.000009474172,0.000059667545,0.000029708792],"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":[0.000001243123,0.000025296093,0.000254975,0.0000105404915,0.00010558425,2.597079e-7,0.0000098583805,0.9795764,0.010995935,0.0041122977,0.00041493715,0.00449264],"study_design_scores_gemma":[0.0002142298,0.000008238414,0.004318552,0.000008902889,0.00021484218,3.659097e-7,0.0000027137185,0.9095165,0.003022575,0.0007189502,0.081819214,0.00015490188],"about_ca_topic_score_codex":0.000020135394,"about_ca_topic_score_gemma":0.000033746823,"teacher_disagreement_score":0.9472764,"about_ca_system_score_codex":0.000030595846,"about_ca_system_score_gemma":0.000004200874,"threshold_uncertainty_score":0.45856285},"labels":[],"label_agreement":null},{"id":"W2363758887","doi":"","title":"Development of Stress-Strain Measurement Instrument for Trencher Guide Bar","year":2013,"lang":"en","type":"article","venue":"Journal of Qingdao University of Science and Technology","topic":"Advanced Sensor and Control Systems","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":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Strain gauge; Bar (unit); Software; Differential amplifier; Instrumentation (computer programming); Amplifier; Stress (linguistics); Instrumentation amplifier; Measuring principle; Measuring instrument; Engineering; Electronic engineering; Computer science; Electrical engineering; Optics; Physics","score_opus":0.016384361237080862,"score_gpt":0.19285393838832038,"score_spread":0.1764695771512395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363758887","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":[0.97319514,0.00018992288,0.025472343,0.0003239136,0.00008891783,0.00012672054,0.0000049162227,0.000016166603,0.00058197574],"genre_scores_gemma":[0.9747501,0.000023407425,0.025195692,0.0000024912142,0.000005268788,1.3986823e-7,7.990734e-8,0.0000020209325,0.000020777909],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99935037,0.0000027918718,0.0002066277,0.000062678984,0.00025452027,0.0001229927],"domain_scores_gemma":[0.9992258,0.00000841025,0.00013930333,0.00006569606,0.000519027,0.00004176156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003494598,0.00005236483,0.00016758473,0.0002979384,0.000073226496,0.000004272955,0.00022294011,0.000043820957,0.000008461396],"category_scores_gemma":[0.000041234292,0.00004885,0.000023132896,0.00019402118,0.00031039436,0.00021066461,0.00002716046,0.000059249764,4.0641305e-7],"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":[0.000008232631,0.000029686487,0.0009402253,0.00006337295,0.000054735374,0.0000021875537,0.0007977838,0.0004333827,0.8738531,0.0009290425,0.00015358329,0.12273471],"study_design_scores_gemma":[0.0063373116,0.001138864,0.016916938,0.0009267323,0.00013268321,0.00008128686,0.097562015,0.012302601,0.7786502,0.0039731697,0.081298165,0.00068002474],"about_ca_topic_score_codex":0.0000061909354,"about_ca_topic_score_gemma":0.000013713508,"teacher_disagreement_score":0.12205468,"about_ca_system_score_codex":0.00010841645,"about_ca_system_score_gemma":0.00010689087,"threshold_uncertainty_score":0.19920452},"labels":[],"label_agreement":null},{"id":"W2363836812","doi":"","title":"ON-LINE Training RBF Networks Based On APC-IIICluster Algorithm","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Radial basis function; Construct (python library); Artificial neural network; Identification (biology); Artificial intelligence; Line (geometry)","score_opus":0.007615412992948182,"score_gpt":0.20479725584656816,"score_spread":0.19718184285361998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363836812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026967295,0.000090248854,0.99361426,0.00009212797,0.00006100308,0.0005237012,0.000024161242,0.0004981547,0.004826696],"genre_scores_gemma":[0.86256194,0.0000029137618,0.1334424,0.0010107439,0.0017463794,0.0005618484,0.00018623329,0.00009450583,0.00039304295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990521,0.000014798756,0.00026349883,0.00026651993,0.00010530631,0.00029778515],"domain_scores_gemma":[0.9994572,0.00010857107,0.0000333822,0.0003097183,0.000029505945,0.000061623236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051848518,0.00020384906,0.00019262233,0.00008735085,0.00011256403,0.00004831289,0.00017057144,0.00008632573,0.000013561804],"category_scores_gemma":[1.5045477e-7,0.00020543783,0.00008417814,0.00018956806,0.000018742452,0.00003734817,0.000011378976,0.00018884844,0.000115748146],"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":[0.0000023082227,0.000035875575,0.0000032643547,0.000006010803,0.00000845849,0.0000012686494,0.000018201124,0.81487167,0.0005043839,0.00058577355,0.0020192221,0.18194358],"study_design_scores_gemma":[0.0005029572,0.000023903869,0.00006948671,0.000018419994,0.000007200303,0.0000041133535,0.0000052481273,0.8577983,0.0002476171,0.00036441407,0.14076546,0.00019289926],"about_ca_topic_score_codex":0.0000072358457,"about_ca_topic_score_gemma":0.0000051120937,"teacher_disagreement_score":0.8622923,"about_ca_system_score_codex":0.00006215695,"about_ca_system_score_gemma":0.000006306922,"threshold_uncertainty_score":0.83775115},"labels":[],"label_agreement":null},{"id":"W2364012992","doi":"","title":"The Forecasting Model of Time Series for the Auto Sales in Guilin","year":2008,"lang":"en","type":"article","venue":"Guangxi kexue","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Quarter (Canadian coin); Time series; Value (mathematics); Series (stratigraphy); Identification (biology); Econometrics; Statistics; Moving average; Computer science; Mathematics; Geography","score_opus":0.030471092201946624,"score_gpt":0.2088898543289188,"score_spread":0.17841876212697216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364012992","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":[0.699556,0.007924406,0.2811152,0.00064473145,0.00066917663,0.0017473171,0.00012783527,0.0004402637,0.007775114],"genre_scores_gemma":[0.9973358,0.00007216157,0.0011169439,0.000009960317,0.00007814297,0.00006129425,0.0000025259283,0.000022567403,0.0013006147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994389,0.000010214546,0.00021304631,0.000071560054,0.00007861262,0.00018770584],"domain_scores_gemma":[0.9994454,0.00028037975,0.000030835134,0.00019907873,0.000029236078,0.000015071836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012978153,0.00008596209,0.00013700947,0.00001939645,0.0001210224,0.000007957786,0.00015103785,0.000035733556,0.0000015011444],"category_scores_gemma":[0.000077231394,0.000052331547,0.00005437772,0.00006887357,0.00004854327,0.00007056656,0.000014559035,0.000065516695,0.000005417774],"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":[0.000027887998,0.000004548336,0.00010537384,0.00002704522,0.00002055175,0.0000014751707,0.000923671,0.9866487,0.0076802466,0.00070269883,0.0006534887,0.0032043215],"study_design_scores_gemma":[0.00022624401,0.000016004731,0.000091206806,0.000015605927,0.000004800731,0.000008535173,0.0002090176,0.9947969,0.0010651865,0.00074907107,0.0027488507,0.000068632915],"about_ca_topic_score_codex":0.000019050221,"about_ca_topic_score_gemma":0.00016160295,"teacher_disagreement_score":0.29777983,"about_ca_system_score_codex":0.000021186886,"about_ca_system_score_gemma":0.00001179026,"threshold_uncertainty_score":0.21340185},"labels":[],"label_agreement":null},{"id":"W2364171581","doi":"","title":"Realization of XOR Computation Multi-thresholded Neuron Based on BP Network","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computation; Realization (probability); Perceptron; Artificial neural network; Artificial intelligence; Multilayer perceptron; Exclusive or; Algorithm; Pattern recognition (psychology); Theoretical computer science; Logic gate; Mathematics","score_opus":0.01526214609457826,"score_gpt":0.220967602572929,"score_spread":0.20570545647835073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2364171581","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004629421,0.00010038229,0.99372953,0.00002026815,0.000041810952,0.00062627735,0.000013816175,0.00029014616,0.00054837397],"genre_scores_gemma":[0.93331593,0.000014957131,0.06598118,0.00015777892,0.00019026188,0.00014924846,0.00012130021,0.000036810616,0.000032505435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992464,0.000022390215,0.00028773124,0.00018307297,0.00010101495,0.00015938166],"domain_scores_gemma":[0.9995654,0.000055756085,0.00006377995,0.00020574457,0.00006380051,0.000045510133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036189784,0.000130844,0.00016979543,0.000070326154,0.000103982966,0.000008782511,0.000111991045,0.00005521772,0.0000030044284],"category_scores_gemma":[3.2456416e-7,0.00014270072,0.000056516325,0.00026306557,0.000026485694,0.000045717734,0.000009603048,0.0000776489,0.000025211375],"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":[0.000005310508,0.000050891307,0.0002839993,0.000028825476,0.000008876015,7.386753e-7,0.00005910496,0.97996867,0.006977677,0.0003245937,0.0014240396,0.0108672995],"study_design_scores_gemma":[0.0006771121,0.000026561542,0.0056240726,0.000021461216,0.000008922441,0.000006124482,0.0000031793131,0.95383376,0.0012546276,0.00009709765,0.038293954,0.0001531505],"about_ca_topic_score_codex":0.000006441193,"about_ca_topic_score_gemma":0.000003942899,"teacher_disagreement_score":0.92868656,"about_ca_system_score_codex":0.000033804434,"about_ca_system_score_gemma":0.000009162951,"threshold_uncertainty_score":0.5819167},"labels":[],"label_agreement":null},{"id":"W2365354354","doi":"","title":"Design of ECG Signal Sampling System Based on ATmega168V","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Sampling (signal processing); Frame (networking); SIGNAL (programming language); Software; Realization (probability); Computer hardware; Filter (signal processing); Flow chart; Signal-flow graph; Digital signal; Simple (philosophy); Chart; Real-time computing; Embedded system; Digital signal processing; Telecommunications; Electrical engineering; Computer vision; Engineering drawing","score_opus":0.0131262681337696,"score_gpt":0.2230151163771025,"score_spread":0.2098888482433329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365354354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00065592845,0.00009936101,0.9973332,0.000006015739,0.000024407193,0.0006545363,0.000010518179,0.0003446883,0.00087132707],"genre_scores_gemma":[0.70943683,7.413936e-7,0.29029122,0.00002674688,0.000120410776,0.000079372214,0.000008977793,0.000024929413,0.00001080495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991935,0.000013462045,0.00031238535,0.00016807189,0.000103803104,0.00020881365],"domain_scores_gemma":[0.9994059,0.00019493865,0.000049022183,0.00024024479,0.000049776012,0.00006009974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015643891,0.00013455705,0.00018157747,0.00010067229,0.00006257038,0.000013965845,0.0001590113,0.000060550363,0.000004036905],"category_scores_gemma":[1.5168867e-7,0.00013763654,0.00005719025,0.00018679503,0.000015271216,0.000028677012,0.000008534963,0.000086307686,0.000048569644],"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":[0.000010729115,0.000028802055,0.00003522176,0.00009648311,0.000020079306,0.0000010062151,0.00004350258,0.8156251,0.13855281,0.000674804,0.0000806456,0.044830866],"study_design_scores_gemma":[0.00055645773,0.000040402498,0.00024089155,0.00008261704,0.000019526296,0.000009659692,0.000048556267,0.9319319,0.04327106,0.000067453286,0.02348532,0.00024615787],"about_ca_topic_score_codex":0.0000032998153,"about_ca_topic_score_gemma":6.7609994e-7,"teacher_disagreement_score":0.7087809,"about_ca_system_score_codex":0.00008957347,"about_ca_system_score_gemma":0.000009022199,"threshold_uncertainty_score":0.5612655},"labels":[],"label_agreement":null},{"id":"W2365515276","doi":"","title":"Remote Valve Monitoring System for oil/gas pipeline Based on KingView","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Pipeline (software); Interface (matter); Software; Process (computing); Embedded system; Function (biology); Work (physics); Pipeline transport; Control system; Real-time computing; Operating system; Environmental science; Mechanical engineering; Electrical engineering","score_opus":0.009276733849728982,"score_gpt":0.23304128723756565,"score_spread":0.22376455338783666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2365515276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066630816,0.0005911511,0.99529594,0.00013897456,0.000091331145,0.00057224795,0.000027600923,0.00074658723,0.0018698581],"genre_scores_gemma":[0.68280375,0.0000216458,0.3138598,0.00010712492,0.0023949149,0.0005176985,0.00003446495,0.000080905935,0.00017967913],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990748,0.000011123437,0.00030939977,0.0002531176,0.00009373565,0.0002578114],"domain_scores_gemma":[0.9993456,0.00011847854,0.000045888133,0.00034942466,0.00006416811,0.00007642714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007872537,0.00018565368,0.00021760621,0.00007781852,0.00012263581,0.000041564,0.00019701665,0.00006642902,0.0000017547279],"category_scores_gemma":[6.019977e-7,0.00019282727,0.00015531082,0.00013660523,0.0000084854155,0.000050727886,0.00001153435,0.00010221324,0.00010993661],"study_design_candidate":"design_other","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":[0.000003901631,0.00001861245,0.0000071588083,0.00023728139,0.000019143987,2.3894975e-7,0.000033269764,0.2294973,0.01257972,0.00015691538,0.00046025813,0.7569862],"study_design_scores_gemma":[0.00042982126,0.000008053975,0.000020032316,0.00012104565,0.000020242438,0.0000037135528,0.000010106029,0.5262791,0.0075976183,0.000015634612,0.4653326,0.00016203074],"about_ca_topic_score_codex":0.0000035154808,"about_ca_topic_score_gemma":0.0000016470466,"teacher_disagreement_score":0.7568242,"about_ca_system_score_codex":0.00017650824,"about_ca_system_score_gemma":0.000007673333,"threshold_uncertainty_score":0.7863268},"labels":[],"label_agreement":null},{"id":"W2366143865","doi":"","title":"Development of universal frequency converter based on S87C196MH","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signal processing; Set (abstract data type); SIGNAL (programming language); Control (management); Electronic engineering; Computer hardware; Artificial intelligence","score_opus":0.004143489801540825,"score_gpt":0.17889999217496783,"score_spread":0.174756502373427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366143865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072190454,0.000036527977,0.9858428,0.000016611632,0.00001678037,0.00027836885,0.000011055606,0.00015276538,0.006426048],"genre_scores_gemma":[0.8148614,3.7551155e-7,0.18484572,0.000038146125,0.000068077024,0.00007053279,0.00003522914,0.000016130985,0.000064380954],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994903,0.000005005162,0.00020153959,0.00011820186,0.000067568326,0.000117376054],"domain_scores_gemma":[0.99974084,0.000019392974,0.000026806438,0.00015825077,0.000030036445,0.000024675744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000020595317,0.0000953495,0.00011017032,0.000063124135,0.000042583473,0.0000074748805,0.00011246325,0.000035970923,0.000013385417],"category_scores_gemma":[3.4155647e-8,0.00009919473,0.00003477553,0.000101786296,0.000014550401,0.000026718633,0.000006709519,0.000049011927,0.00006535],"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":[0.000009428251,0.000260467,0.0007961023,0.0001775346,0.0000702023,0.0000028707827,0.00036800312,0.1090363,0.68312585,0.0127206175,0.0029039555,0.19052869],"study_design_scores_gemma":[0.0012694383,0.000019042029,0.0044842907,0.00004497597,0.00001724066,0.0000033667964,0.000036149006,0.15052395,0.06396469,0.00059121574,0.7785847,0.0004609472],"about_ca_topic_score_codex":0.00000885981,"about_ca_topic_score_gemma":0.00000970824,"teacher_disagreement_score":0.80764234,"about_ca_system_score_codex":0.00005960495,"about_ca_system_score_gemma":0.000016741395,"threshold_uncertainty_score":0.40450436},"labels":[],"label_agreement":null},{"id":"W2366326062","doi":"","title":"Design and Implementation of Paperless Recorder for Test Chest with Remote Monitoring Function","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"USB; Computer science; Ethernet; Embedded system; Computer hardware; Interface (matter); Test (biology); Software; Operating system","score_opus":0.008921474609498914,"score_gpt":0.24501990758706416,"score_spread":0.23609843297756525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366326062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018011717,0.00012857067,0.9808017,0.000010053777,0.000017238244,0.00090209424,0.000004576242,0.00008270804,0.000041337113],"genre_scores_gemma":[0.623816,0.000012467869,0.37590075,0.000006159032,0.0001319603,0.000093425086,0.00000818908,0.000018615347,0.000012421333],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955916,0.0000031106229,0.00016740045,0.00011502506,0.000038147235,0.0001171817],"domain_scores_gemma":[0.99967384,0.000113234324,0.00003828666,0.00008986691,0.000056836107,0.00002794076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008486724,0.00007801582,0.0000900929,0.00004022024,0.000054751083,0.000012282178,0.00003945004,0.000027522612,8.4032695e-7],"category_scores_gemma":[1.4288156e-7,0.0000758288,0.000013565682,0.00009105901,0.00000998268,0.000055385677,0.0000049498913,0.000032837004,0.0000010040508],"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":[0.000013069868,0.00000958728,0.0013374322,0.00008007244,0.000025472953,8.7168495e-8,0.00017181618,0.004191529,0.25978065,0.000054468914,0.000025901945,0.7343099],"study_design_scores_gemma":[0.0060999673,0.0006695708,0.13350502,0.00017099406,0.000255861,0.00006120189,0.002110829,0.05851777,0.54569197,0.0012996623,0.25043616,0.0011810167],"about_ca_topic_score_codex":0.000010530342,"about_ca_topic_score_gemma":0.000011742454,"teacher_disagreement_score":0.7331289,"about_ca_system_score_codex":0.000023818442,"about_ca_system_score_gemma":0.0000042798633,"threshold_uncertainty_score":0.30922088},"labels":[],"label_agreement":null},{"id":"W2366616790","doi":"","title":"Design of Miller Encoder Using VHDL","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; VHDL; Encoder; Miller; Code (set theory); Software; Programming language; Process (computing); Computer hardware; Embedded system; Operating system; Field-programmable gate array","score_opus":0.014520806699537899,"score_gpt":0.22322579827062264,"score_spread":0.20870499157108474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366616790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002866783,0.00050884014,0.9954729,0.000016078153,0.000012389248,0.0003709685,0.000004473711,0.00013123883,0.000616344],"genre_scores_gemma":[0.4393504,0.000013937245,0.5601886,0.00004471587,0.00022419945,0.00007152756,0.0000030337371,0.00002399922,0.00007960626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995051,0.000009056707,0.00019743014,0.00010786736,0.000051750318,0.00012880012],"domain_scores_gemma":[0.9997103,0.000026050395,0.000025194024,0.00017240632,0.00003375114,0.000032275748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032280223,0.00008847104,0.00012283422,0.00004777994,0.00003691591,0.000008473102,0.00011594923,0.000038735783,0.000013061107],"category_scores_gemma":[6.430378e-8,0.0000919634,0.000035079298,0.000107765234,0.000014942233,0.000056902176,0.0000125410315,0.00005026841,0.000044010852],"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":[7.8358727e-7,0.000015042351,0.000012573758,0.000013559965,0.000019274486,7.460369e-8,0.00013018525,0.70166403,0.25530088,0.00013626978,0.0005879132,0.04211939],"study_design_scores_gemma":[0.0002657449,0.0000048209977,0.000049224465,0.000010886836,0.000013890148,0.000012998137,0.000015352289,0.70756066,0.03730559,0.00012626148,0.25447136,0.00016319755],"about_ca_topic_score_codex":0.0000034641623,"about_ca_topic_score_gemma":9.803767e-7,"teacher_disagreement_score":0.43648362,"about_ca_system_score_codex":0.000034625104,"about_ca_system_score_gemma":0.000005976063,"threshold_uncertainty_score":0.37501585},"labels":[],"label_agreement":null},{"id":"W2367417023","doi":"","title":"Embedded Network Monitoring System of Wireless Temperature Sensor","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Wireless sensor network; Embedded system; Real-time computing; Wireless; Computer network; Telecommunications","score_opus":0.003915763707383439,"score_gpt":0.20516599649377815,"score_spread":0.2012502327863947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367417023","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":[0.1414611,0.00065651664,0.85517734,0.0000052059136,0.00014980807,0.0005749275,0.00001150654,0.0005454395,0.0014181713],"genre_scores_gemma":[0.9527877,0.0000075846337,0.045845132,0.0000066836506,0.0011781135,0.00006766623,0.000008236882,0.00003573063,0.00006316058],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990866,0.000010038681,0.00035255056,0.00017024408,0.000096839656,0.00028371013],"domain_scores_gemma":[0.99946487,0.000057346042,0.000053608605,0.00027720383,0.000074763215,0.00007221707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107532825,0.00014906269,0.00023198799,0.000052902767,0.00008273445,0.000019920453,0.00016828484,0.00009755716,0.0000010444908],"category_scores_gemma":[9.661444e-8,0.00015335678,0.00006931553,0.00027918062,0.00001677607,0.000045916702,0.000019622485,0.00013630149,0.000023613247],"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":[0.000009107127,0.000026667143,0.001082925,0.0003745451,0.00010614638,0.0000052988953,0.0003667895,0.091230385,0.85654044,0.0022146108,0.00058687583,0.047456194],"study_design_scores_gemma":[0.0026888994,0.00006450069,0.014282144,0.0009263209,0.00016459973,0.0002944327,0.0027232475,0.05214761,0.65131986,0.00020951137,0.2732397,0.0019391698],"about_ca_topic_score_codex":0.0000033160336,"about_ca_topic_score_gemma":0.0000017067305,"teacher_disagreement_score":0.81132656,"about_ca_system_score_codex":0.00006629254,"about_ca_system_score_gemma":0.000005066819,"threshold_uncertainty_score":0.6253708},"labels":[],"label_agreement":null},{"id":"W2367430546","doi":"","title":"Geomagnetic sensor based on tangential More fringe","year":2001,"lang":"en","type":"article","venue":"Journal of Transducer Technology","topic":"Advanced Sensor and Control Systems","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":"Discovery Air (Canada)","funders":"","keywords":"Earth's magnetic field; Compass; Raster graphics; Optics; Transparency (behavior); Photoelectric effect; Position (finance); Position sensor; Photoelectric sensor; Physics; Geodesy; Remote sensing; Geology; Computer science; Engineering; Electrical engineering; Acoustics; Artificial intelligence; Magnetic field","score_opus":0.005324959011202255,"score_gpt":0.20849692333637432,"score_spread":0.20317196432517207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367430546","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":[0.93362767,0.0014336497,0.058943745,0.0026263446,0.000941658,0.00014783873,0.000006339982,0.00032050034,0.0019522506],"genre_scores_gemma":[0.99830794,0.00008592561,0.0011830966,0.00008706086,0.00022515227,0.0000032793937,4.4262265e-7,0.000033785465,0.00007332307],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990668,0.000013592051,0.00036762928,0.00009838084,0.00019242296,0.00026115886],"domain_scores_gemma":[0.9995725,0.000027114194,0.00006985437,0.0002043669,0.00006351887,0.000062637024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007243854,0.00015221394,0.00030327027,0.00043424912,0.000031251806,0.0000097349,0.00020692965,0.00018326097,0.000077627206],"category_scores_gemma":[0.00001476832,0.00013364396,0.00013493285,0.00026242092,0.000046605262,0.00005777127,0.0000029585103,0.00039601777,0.000021505233],"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":[0.0005021948,0.00026876654,0.0039304867,0.00012997171,0.00031115525,0.00225788,0.0002882262,0.3620754,0.5133073,0.00029369266,0.0012867163,0.115348265],"study_design_scores_gemma":[0.02220113,0.005331496,0.012832369,0.00080484274,0.0007813145,0.007803336,0.0020673578,0.22446252,0.15606387,0.0028028511,0.5623672,0.002481732],"about_ca_topic_score_codex":0.0000013847501,"about_ca_topic_score_gemma":0.0000023463829,"teacher_disagreement_score":0.56108046,"about_ca_system_score_codex":0.000054897304,"about_ca_system_score_gemma":0.000011080854,"threshold_uncertainty_score":0.5449842},"labels":[],"label_agreement":null},{"id":"W2367479732","doi":"","title":"Research on the Rebuilding of the Monitoring and Controlling System for Old Ship Power Device Based on Windows CE. NET","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Windows CE; Computer science; Net (polyhedron); Software; Microsoft Windows; Embedded system; Power (physics); Operating system; Software versioning","score_opus":0.027052081463522698,"score_gpt":0.28966372851425093,"score_spread":0.26261164705072826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367479732","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":[0.11963707,0.00030211586,0.8752337,0.0002521688,0.0001081474,0.002715571,0.000021009626,0.00013513007,0.0015950899],"genre_scores_gemma":[0.9949836,0.000001614162,0.004292539,0.000050507286,0.00028687954,0.00033137263,0.0000011405026,0.000028518034,0.000023798546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99904037,0.000047798545,0.00026384226,0.00019348257,0.00017697518,0.0002775492],"domain_scores_gemma":[0.99802995,0.0013902463,0.000050588875,0.00038228405,0.00010370999,0.0000432309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007961535,0.000118723394,0.00015623914,0.000084313564,0.000304439,0.00004452945,0.00027493172,0.000060501367,5.832125e-7],"category_scores_gemma":[0.0000031495035,0.000079404934,0.00006368239,0.00025172115,0.000033769298,0.000025511637,0.000024115556,0.00022555114,0.0000033950234],"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":[0.00014742174,0.00008321917,0.0016994068,0.0005337104,0.00012549941,0.0000010911119,0.00075584144,0.44310638,0.49349335,0.037298206,0.00048661846,0.022269258],"study_design_scores_gemma":[0.004105245,0.00020741815,0.011855488,0.0016308901,0.00007789327,0.000015433823,0.003043349,0.3888195,0.41490287,0.00057502993,0.17400904,0.00075788365],"about_ca_topic_score_codex":0.000008795129,"about_ca_topic_score_gemma":0.0000023457324,"teacher_disagreement_score":0.87534654,"about_ca_system_score_codex":0.00009381428,"about_ca_system_score_gemma":0.000008102049,"threshold_uncertainty_score":0.32380393},"labels":[],"label_agreement":null},{"id":"W2367659286","doi":"","title":"Simulation on Control Strategies for a Hot Water Heating System in a Single BuildingBased on Zonal Model Information","year":2012,"lang":"en","type":"article","venue":"Building Science","topic":"Advanced Sensor and Control Systems","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":"Concordia University","funders":"","keywords":"Environmental science; Control system; Thermal; Temperature control; Heating system; Track (disk drive); SIGNAL (programming language); Volumetric flow rate; Process (computing); Energy (signal processing); Control (management); Control theory (sociology); Computer science; Meteorology; Engineering; Control engineering; Mechanics; Mechanical engineering","score_opus":0.018305094687861737,"score_gpt":0.25400725289552334,"score_spread":0.2357021582076616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367659286","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":[0.5128204,0.000009092614,0.48597896,0.0000057173024,0.00019393598,0.0002862795,0.000005965534,0.00012735874,0.0005722593],"genre_scores_gemma":[0.99699926,8.9675964e-8,0.0027724272,0.00005556364,0.00009470198,0.00005989035,0.00000247727,0.00001275485,0.0000028022105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987252,0.00001316071,0.00029569998,0.00013696034,0.0003158229,0.0005132094],"domain_scores_gemma":[0.9994987,0.00017671083,0.00004504729,0.00014017298,0.000065996224,0.000073325915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063888,0.00014193641,0.00016344777,0.0002604638,0.00016943722,0.00015012706,0.00013304001,0.000046974576,6.032285e-7],"category_scores_gemma":[0.00008459443,0.00011447662,0.00003696203,0.00018511232,0.000033166973,0.001636471,0.000007471423,0.000086528824,0.0000071463337],"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":[0.000041295694,0.000010690459,0.000052867876,0.00005196956,0.0000018715833,1.050053e-7,0.0005180929,0.86884445,0.11820635,0.011547763,0.0000012124091,0.0007232984],"study_design_scores_gemma":[0.0007253455,0.00006107899,0.0001053579,0.00014004807,0.0000034820644,0.0000010070269,0.00034000914,0.98667777,0.011593574,0.00014867575,0.000053933785,0.00014972039],"about_ca_topic_score_codex":0.000008711219,"about_ca_topic_score_gemma":0.0000016818616,"teacher_disagreement_score":0.48417887,"about_ca_system_score_codex":0.0003751582,"about_ca_system_score_gemma":0.00002393455,"threshold_uncertainty_score":0.46682212},"labels":[],"label_agreement":null},{"id":"W2367710372","doi":"","title":"Design and Development on CD-ROM/DVD Motor Drive Circuit","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Key (lock); Cascode; Circuit design; Driver circuit; Integrated circuit; Motor drive; Point (geometry); Operational amplifier; Physical design; Voltage; Amplifier; Electrical engineering; Computer hardware; Embedded system; Telecommunications; Operating system","score_opus":0.010055876976147916,"score_gpt":0.20060544294150723,"score_spread":0.19054956596535932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367710372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035115402,0.000057911777,0.963166,0.00002285247,0.000043272106,0.0007181687,0.000003991857,0.00026924058,0.00060314965],"genre_scores_gemma":[0.76913184,0.0000057999177,0.22983958,0.00009796345,0.00019124607,0.0005593938,0.000010303181,0.000032395124,0.00013150962],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994133,0.000007405969,0.0001576527,0.00019541224,0.00006097968,0.00016526452],"domain_scores_gemma":[0.9996319,0.000054034226,0.000019942787,0.00019184154,0.000025587522,0.00007673096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004461367,0.00012922789,0.0001162936,0.00005332135,0.00010610171,0.000038152357,0.00012583732,0.00006040458,0.00000903076],"category_scores_gemma":[1.9721332e-7,0.00013126672,0.000017847338,0.00005972268,0.00001858077,0.000039229133,0.000017556804,0.00015149065,0.00018070814],"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":[0.0000019175225,0.00002661462,0.00003309029,0.000019391226,0.00003085166,8.482673e-7,0.00039240843,0.0028819682,0.76575214,0.00152693,0.00042507064,0.22890879],"study_design_scores_gemma":[0.00049560366,0.000020729458,0.00836948,0.0000132137075,0.000008795332,0.000027798791,0.000019519737,0.005710207,0.018991213,0.00052406243,0.9654407,0.00037870984],"about_ca_topic_score_codex":0.0000011836585,"about_ca_topic_score_gemma":0.000007381002,"teacher_disagreement_score":0.9650156,"about_ca_system_score_codex":0.000025567373,"about_ca_system_score_gemma":0.000010612915,"threshold_uncertainty_score":0.5352901},"labels":[],"label_agreement":null},{"id":"W2367741468","doi":"","title":"The Design of Digital Signal Processor for Microwave Traffic Flow Detection","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Detector; Digital signal processor; Digital signal processing; SIGNAL (programming language); Real-time computing; Traffic flow (computer networking); Radar; Computer hardware; Microwave; Flow (mathematics); Embedded system; Telecommunications; Computer network","score_opus":0.011531326068148766,"score_gpt":0.19484045156298951,"score_spread":0.18330912549484074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367741468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003217172,0.0003271805,0.9950838,0.00001596036,0.000017376153,0.0011126584,0.00002329119,0.00014774769,0.000054785698],"genre_scores_gemma":[0.95967233,0.000017688886,0.039263684,0.000006588213,0.00015691332,0.0007723492,0.000010532491,0.000024643456,0.00007527109],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994483,0.000006094244,0.00021390479,0.0001228681,0.000054380424,0.00015442414],"domain_scores_gemma":[0.99959046,0.00013728047,0.00003865385,0.00012783176,0.00007656195,0.000029203995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037355036,0.0000998176,0.00011223275,0.000028976347,0.00021932465,0.000026156438,0.00014283464,0.00003982211,4.327551e-7],"category_scores_gemma":[4.5950597e-7,0.0000819298,0.000064837826,0.000115737916,0.000040360494,0.00007047593,0.000007405085,0.000052391897,0.000010284335],"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":[0.000015563633,0.000026095537,0.0000026566393,0.00004130177,0.000040192066,1.6899283e-7,0.0002217555,0.32541758,0.18458422,0.000027348287,0.00043198778,0.48919114],"study_design_scores_gemma":[0.00057276717,0.000052323136,0.000032666827,0.000008473976,0.000017509505,0.00006028109,0.000040952647,0.7973771,0.08278814,0.00038793084,0.118456416,0.0002054051],"about_ca_topic_score_codex":2.2637494e-7,"about_ca_topic_score_gemma":0.0000013745987,"teacher_disagreement_score":0.9564552,"about_ca_system_score_codex":0.000025430903,"about_ca_system_score_gemma":0.000011315752,"threshold_uncertainty_score":0.33410004},"labels":[],"label_agreement":null},{"id":"W2369583268","doi":"","title":"Temperature-humidity Remote Survey and Control System Based On GSM","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"GSM; Computer science; Humidity; Software; Software design; Remote control; Base station; Temperature control; Control system; Embedded system; Real-time computing; Telecommunications; Computer hardware; Software development; Operating system; Control engineering; Electrical engineering; Meteorology; Engineering","score_opus":0.004818154643016841,"score_gpt":0.19599177243247456,"score_spread":0.1911736177894577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369583268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012448393,0.00035191956,0.9844968,0.00011285392,0.000037976773,0.00082969654,0.000121232886,0.0005761725,0.0010249955],"genre_scores_gemma":[0.9842174,0.0000049968507,0.0149884075,0.00023559293,0.00035721407,0.00007693098,0.000038092912,0.000031132688,0.000050246723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919957,0.000047993133,0.0002224757,0.0002460819,0.000086427885,0.00019745073],"domain_scores_gemma":[0.9993974,0.00012600848,0.00003007462,0.0003058672,0.00005120623,0.00008941937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013595872,0.00017183427,0.00021352524,0.000061368526,0.00011680833,0.000057331312,0.0001294687,0.000083479215,0.00000299231],"category_scores_gemma":[5.4107767e-7,0.00016749646,0.000042408617,0.0001219477,0.000019140105,0.000049365728,0.000009020451,0.00014605711,0.00008453102],"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":[0.00006386295,0.00013486219,0.0015498705,0.0004745398,0.00015745894,0.0000048872953,0.00014712293,0.5364368,0.1829866,0.0012307941,0.00625025,0.27056295],"study_design_scores_gemma":[0.0014803977,0.000021899732,0.010763051,0.000044622353,0.000016741824,0.000018260698,0.000009302381,0.76867443,0.003366043,0.000015090784,0.21521837,0.00037179596],"about_ca_topic_score_codex":0.000018491311,"about_ca_topic_score_gemma":0.000033109947,"teacher_disagreement_score":0.971769,"about_ca_system_score_codex":0.00008663552,"about_ca_system_score_gemma":0.000007608606,"threshold_uncertainty_score":0.6830307},"labels":[],"label_agreement":null},{"id":"W2369957929","doi":"","title":"Application of Temporary Cathode Protection on Storage Tank to Adopt Seawater for Hydraulic Testing","year":2010,"lang":"en","type":"article","venue":"Total Corrosion Control","topic":"Advanced Sensor and Control Systems","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":"PCL Construction (Canada)","funders":"","keywords":"Cathodic protection; Seawater; Corrosion; Hydrostatic test; Storage tank; Galvanic anode; Hydrostatic equilibrium; Cathode; Marine engineering; Forensic engineering; Engineering; Materials science; Metallurgy; Waste management; Mechanical engineering; Electrical engineering; Chemistry; Geology; Electrochemistry","score_opus":0.012061093373710127,"score_gpt":0.22098150557242185,"score_spread":0.2089204121987117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2369957929","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":[0.2921961,0.000020335301,0.7044745,0.000070646354,0.0004829242,0.0019795843,0.00003376213,0.00026175956,0.00048036428],"genre_scores_gemma":[0.9975627,1.667616e-7,0.0012440162,0.00007665191,0.00028214365,0.00066273665,0.000009658469,0.000045920275,0.000115988296],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990886,0.00002059371,0.00030016789,0.0002203061,0.00015640519,0.00021396592],"domain_scores_gemma":[0.9993135,0.00012315772,0.000079314814,0.00028138608,0.0001113465,0.000091322516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016814393,0.00016666089,0.00025204927,0.00008441906,0.00007737682,0.000016632026,0.000091014925,0.00010473144,0.000003991444],"category_scores_gemma":[0.00011921857,0.00015134377,0.00006065193,0.00013717086,0.000012089023,0.00009269567,0.000009029062,0.00018840715,0.000027983644],"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":[0.00014546642,0.000031846437,0.00013125561,0.00005113309,0.000003167432,5.2022443e-7,0.00004191321,0.08592614,0.8930414,0.00005375363,0.00005842401,0.020515038],"study_design_scores_gemma":[0.0019283224,0.00067694514,0.0013199812,0.000052902134,0.000019996985,0.000013981106,0.000029320157,0.91044796,0.08066974,0.00011780134,0.0043939967,0.00032906656],"about_ca_topic_score_codex":0.00006588359,"about_ca_topic_score_gemma":0.000014272892,"teacher_disagreement_score":0.82452184,"about_ca_system_score_codex":0.00003846857,"about_ca_system_score_gemma":0.000009477677,"threshold_uncertainty_score":0.617162},"labels":[],"label_agreement":null},{"id":"W2370735644","doi":"","title":"A Remote Monitoring System of the Fuel Cells Based on GPRS","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"General Packet Radio Service; Computer science; Microcomputer; Controller (irrigation); Embedded system; Siemens; Process (computing); Software; ARM architecture; Node (physics); Chip; Computer hardware; Real-time computing; Telecommunications; Operating system; Electrical engineering; Wireless","score_opus":0.004250418902524231,"score_gpt":0.18991269578564463,"score_spread":0.1856622768831204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2370735644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006446405,0.00016221138,0.98837614,0.00006534949,0.000094756055,0.00066079287,0.000011561005,0.00029150603,0.0038913],"genre_scores_gemma":[0.9790066,0.0000022703414,0.020689387,0.00003733576,0.00018659893,0.000021829535,0.0000011593839,0.000013874161,0.00004094943],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994449,0.000013041947,0.0001937426,0.00012603831,0.000091437985,0.00013083067],"domain_scores_gemma":[0.999496,0.00003069078,0.00004029555,0.000371496,0.000029439097,0.000032082244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035093064,0.000103474915,0.00012755625,0.000038915645,0.000054784217,0.000013954082,0.00022474024,0.000040089533,5.6056376e-7],"category_scores_gemma":[1.118472e-7,0.00008368449,0.000076559765,0.00017349666,0.000009695214,0.000020089985,0.000008231133,0.00008804372,0.000021006603],"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":[0.0000043631067,0.000034250163,0.00004611764,0.00016407706,0.000016993301,5.7431595e-7,0.00012861982,0.3974594,0.47819063,0.0006436043,0.00024529445,0.12306609],"study_design_scores_gemma":[0.00095965556,0.000047328478,0.004875814,0.0003921462,0.000040519204,0.000010099119,0.00008757922,0.60256946,0.27568212,0.0002676251,0.1146463,0.00042138176],"about_ca_topic_score_codex":0.0000036228842,"about_ca_topic_score_gemma":3.3499586e-7,"teacher_disagreement_score":0.97256017,"about_ca_system_score_codex":0.00006187954,"about_ca_system_score_gemma":0.000005526935,"threshold_uncertainty_score":0.34125546},"labels":[],"label_agreement":null},{"id":"W2371139077","doi":"","title":"Multi-channel Data Acquisition System Design Based on Computer Parallel Interface","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Interface (matter); Channel (broadcasting); Data transmission; Data acquisition; Decoding methods; Parallel port; Reliability (semiconductor); Process (computing); Computer hardware; Parallel communication; Transmission (telecommunications); Interference (communication); Parallel computing; Telecommunications","score_opus":0.025073449717717352,"score_gpt":0.24946815165910813,"score_spread":0.22439470194139077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371139077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006199547,0.00016915835,0.99746716,0.00010077173,0.0000619519,0.0010354473,0.00006151407,0.00089713524,0.00014487644],"genre_scores_gemma":[0.5663871,0.0000027602264,0.4327316,0.00027396026,0.00030184138,0.00011274265,0.00014261856,0.00002780978,0.00001952977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887896,0.000041145733,0.00029775445,0.0004157131,0.000109847075,0.00025658662],"domain_scores_gemma":[0.9989081,0.00006200524,0.000047262063,0.0008518018,0.000044090284,0.00008676268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010427464,0.00022643464,0.00022285958,0.0000913345,0.000111794805,0.000074696225,0.0005532637,0.00008236967,0.0000026480325],"category_scores_gemma":[1.3948465e-7,0.00022996173,0.000048632366,0.00015007715,0.000013199267,0.00012616938,0.000037887436,0.00013352378,0.00023113152],"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":[0.000010209901,0.000075896365,0.0000010622506,0.00003565333,0.00001755316,0.0000018599504,0.000048465372,0.96715575,0.0063335905,0.000091456786,0.002974702,0.02325377],"study_design_scores_gemma":[0.00069563685,0.00004410788,0.00019478764,0.000062535735,0.000013457789,0.000011523037,0.000011861272,0.9825021,0.00068568334,0.000024652585,0.015521226,0.0002324009],"about_ca_topic_score_codex":0.000002343991,"about_ca_topic_score_gemma":6.608102e-7,"teacher_disagreement_score":0.5663251,"about_ca_system_score_codex":0.00010146306,"about_ca_system_score_gemma":0.000008078111,"threshold_uncertainty_score":0.9377568},"labels":[],"label_agreement":null},{"id":"W2371727423","doi":"","title":"Automatic Water-filled Tube Measurement System Based on DSP Platform","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signal processing; Tube (container); Embedded system; Computer hardware; Materials science; Composite material","score_opus":0.009280153148405676,"score_gpt":0.18694904993528658,"score_spread":0.17766889678688091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371727423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011095647,0.000071240946,0.9834041,0.00008416573,0.00006489843,0.001147838,0.000011249451,0.0013102847,0.0028105497],"genre_scores_gemma":[0.9774698,8.293386e-7,0.021448525,0.00009118234,0.00016237429,0.00074767764,0.000025280926,0.00004347423,0.0000108683325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988932,0.000008806678,0.00032674405,0.00023103622,0.00023996453,0.00030023025],"domain_scores_gemma":[0.99941444,0.00001579763,0.000026050802,0.00038862272,0.000064393374,0.00009068504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107962085,0.00020802987,0.0002258813,0.00009819206,0.00013557852,0.00004977229,0.00020906134,0.00006599836,0.000009268698],"category_scores_gemma":[1.9039578e-7,0.00016974399,0.00008905694,0.00011729194,0.000012570938,0.00005744939,0.000015092528,0.00010956153,0.0005514606],"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":[0.0000061042674,0.0001226886,0.000008360023,0.00048274267,0.00008837412,0.0000049671976,0.00029810076,0.82895315,0.116355166,0.0026429836,0.00032704804,0.0507103],"study_design_scores_gemma":[0.0035920246,0.000077196484,0.00023162374,0.00036647008,0.00006256028,0.00004249913,0.000114468385,0.7630368,0.09828662,0.0004171296,0.13298903,0.00078359514],"about_ca_topic_score_codex":0.000009897901,"about_ca_topic_score_gemma":0.000005267878,"teacher_disagreement_score":0.96637416,"about_ca_system_score_codex":0.00050316163,"about_ca_system_score_gemma":0.000014854977,"threshold_uncertainty_score":0.70880944},"labels":[],"label_agreement":null},{"id":"W2371939150","doi":"","title":"Design and Implementation of a Distributed Monitor System About Network Traffic","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Flexibility (engineering); File Transfer Protocol; Network monitoring; Matching (statistics); Distributed computing; Computer network; Protocol (science); Network management; Network management station; Peer-to-peer; Application layer; Real-time computing; Network architecture; The Internet; Operating system","score_opus":0.004989514162763511,"score_gpt":0.2282245005541269,"score_spread":0.2232349863913634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2371939150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03640644,0.0006065432,0.9619305,0.0000048095285,0.000024120356,0.0007686129,0.000023364433,0.00020786318,0.00002775584],"genre_scores_gemma":[0.92083377,0.000009598382,0.078803256,0.000004647766,0.0001820808,0.00011837329,0.00002925064,0.000015355798,0.000003648807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993607,0.000011562685,0.0002798729,0.00011655871,0.0000532407,0.00017808349],"domain_scores_gemma":[0.9996934,0.000059041515,0.000047666017,0.00011554961,0.000035933088,0.00004844485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011734086,0.00009324441,0.00013712684,0.00003443366,0.00006083628,0.000015319007,0.00007148713,0.000038251288,0.0000011797964],"category_scores_gemma":[4.237361e-8,0.000098350945,0.00002472479,0.00015731012,0.00001374998,0.00003796552,0.000009939277,0.000044530476,0.000004644215],"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":[0.0000115355615,0.000020324382,0.00036874897,0.00029769208,0.00009809201,0.0000014523177,0.00047543255,0.5260621,0.043738198,0.0013783629,0.0007835035,0.4267646],"study_design_scores_gemma":[0.004742639,0.00015934638,0.04875722,0.00027145137,0.0002242841,0.0001703421,0.0027859502,0.6172209,0.057869013,0.0002567108,0.26607627,0.0014659178],"about_ca_topic_score_codex":0.0000051196143,"about_ca_topic_score_gemma":0.0000046117043,"teacher_disagreement_score":0.88442737,"about_ca_system_score_codex":0.00004661373,"about_ca_system_score_gemma":0.0000038758994,"threshold_uncertainty_score":0.4010635},"labels":[],"label_agreement":null},{"id":"W2372530553","doi":"","title":"Calculation of Driving Moment of Radial Guide-adjuster on the Centrifugal Ventilator","year":2003,"lang":"en","type":"article","venue":"Fluid Machinery","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Moment (physics); Centrifugal pump; Mechanics; Physics; Automotive engineering; Engineering; Classical mechanics; Impeller","score_opus":0.006841512678314411,"score_gpt":0.20607392232153526,"score_spread":0.19923240964322086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372530553","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":[0.9583393,0.00069375685,0.029699735,0.00003845077,0.0009261294,0.00030026014,0.0000113295255,0.00006168802,0.009929402],"genre_scores_gemma":[0.9994508,0.000015444473,0.00013463286,0.000016251517,0.000084829386,0.00000659951,0.0000029125442,0.000018885146,0.00026966984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924517,0.00004518041,0.00030627588,0.000085614556,0.00017813708,0.00013961951],"domain_scores_gemma":[0.9996175,0.00006333622,0.000048448463,0.00021510867,0.000024490528,0.00003111943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014702948,0.00010271208,0.00017478816,0.00004746473,0.00002481921,0.0000049315254,0.00006994676,0.000040001214,0.000049383383],"category_scores_gemma":[0.000040381423,0.00007502112,0.00008736314,0.00007918406,0.000015673008,0.000040244744,0.000006536767,0.000073991396,0.000008130319],"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":[0.000041465108,0.00007819268,0.010871575,0.00014277291,0.00016581148,0.000005271852,0.00052305416,0.5102222,0.44611433,0.022152008,0.004306871,0.0053764237],"study_design_scores_gemma":[0.0031165206,0.00022427419,0.030887133,0.0003772019,0.00013818372,0.000020739135,0.00017719212,0.57725793,0.2743294,0.0005668876,0.11215248,0.0007520712],"about_ca_topic_score_codex":0.0000098859455,"about_ca_topic_score_gemma":0.0000030525466,"teacher_disagreement_score":0.17178494,"about_ca_system_score_codex":0.000039966537,"about_ca_system_score_gemma":0.0000072991293,"threshold_uncertainty_score":0.30592725},"labels":[],"label_agreement":null},{"id":"W2372544332","doi":"","title":"A New Type of Wireless Traffic Lights Induction Control Dynamic System at Crossroads","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Microcontroller; Wireless; Software; Traffic flow (computer networking); Wireless network; Real-time computing; Embedded system; Computer network; Telecommunications; Operating system","score_opus":0.004458581223889469,"score_gpt":0.21200462985105895,"score_spread":0.20754604862716947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372544332","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":[0.1763859,0.00063668226,0.8212015,0.000047413097,0.00009325927,0.00069720397,0.0000131213155,0.00048632384,0.0004386303],"genre_scores_gemma":[0.9931249,0.00000934513,0.00623406,0.000019888235,0.00018251842,0.000039460952,0.000019239342,0.000021275915,0.00034929853],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992004,0.000012385757,0.00031602272,0.0001946675,0.00008862203,0.00018792586],"domain_scores_gemma":[0.9995153,0.000016301105,0.00006505476,0.00026123165,0.0000631529,0.00007897458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032364424,0.00015219895,0.00025414344,0.00007378145,0.000080604405,0.000021438047,0.00016221224,0.000091746144,0.0000044727344],"category_scores_gemma":[9.5573704e-8,0.00015330334,0.000069296904,0.00023792565,0.000013659382,0.00006535926,0.000007944743,0.000088245244,0.00010582157],"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":[0.000029852332,0.000049550363,0.000023413231,0.0001261179,0.00008650581,0.0000015444003,0.00033909376,0.11069087,0.6244743,0.0015485164,0.0018742412,0.26075602],"study_design_scores_gemma":[0.0050501637,0.000240827,0.006454912,0.00024042168,0.00019009768,0.00028967983,0.00015152914,0.69273806,0.025464525,0.00031625226,0.26763517,0.0012283346],"about_ca_topic_score_codex":0.0000056895174,"about_ca_topic_score_gemma":0.000007741082,"teacher_disagreement_score":0.816739,"about_ca_system_score_codex":0.00016638088,"about_ca_system_score_gemma":0.000015005751,"threshold_uncertainty_score":0.6251528},"labels":[],"label_agreement":null},{"id":"W2372684026","doi":"","title":"Embedded WEB Server Based Multi-point Temperature Circuit Monitor System","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ethernet; Microcontroller; Operating system; Web server; Embedded system; Reliability (semiconductor); Web application; Real-time computing; The Internet","score_opus":0.004847931253371777,"score_gpt":0.1870263969145385,"score_spread":0.18217846566116674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372684026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021458881,0.0005626271,0.973686,0.000038130103,0.000109844455,0.0011884915,0.00010428151,0.0015755043,0.0012762652],"genre_scores_gemma":[0.9727804,0.0000013046546,0.025369724,0.000054621698,0.0006561169,0.0006267211,0.0000839041,0.0000625819,0.0003646369],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989907,0.00002191453,0.00033803808,0.0002556668,0.00010435829,0.00028933564],"domain_scores_gemma":[0.99934524,0.00002957335,0.00004392177,0.00042783812,0.00007825781,0.00007518858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048038713,0.00023560665,0.00023925079,0.00008555606,0.00013531007,0.00008781587,0.00023579132,0.0001282045,0.000008727173],"category_scores_gemma":[1.1520405e-7,0.00023962557,0.00011265576,0.0002342482,0.000017422974,0.0000867578,0.000017597482,0.0001675607,0.00022916902],"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":[0.0000038114201,0.00012262107,0.00028101477,0.00047004985,0.00006043979,0.0000069295515,0.00010323268,0.15734121,0.82911986,0.0020408493,0.0053756153,0.0050743595],"study_design_scores_gemma":[0.00353216,0.00002121993,0.0026755482,0.00017894559,0.00007274463,0.00008972235,0.00026413065,0.58084327,0.057861306,0.00012004893,0.35303235,0.0013085357],"about_ca_topic_score_codex":0.000017812812,"about_ca_topic_score_gemma":0.000016674048,"teacher_disagreement_score":0.9513215,"about_ca_system_score_codex":0.00014869688,"about_ca_system_score_gemma":0.000014458867,"threshold_uncertainty_score":0.97716475},"labels":[],"label_agreement":null},{"id":"W2372925307","doi":"","title":"Design of the Control System for Fuel Cell Bicycle Based on DSP","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Digital signal processing; Control (management); PID controller; Interface (matter); Fuel cells; Control system; Automotive engineering; Computer hardware; Temperature control; Control engineering; Electrical engineering; Chemical engineering; Operating system; Artificial intelligence; Engineering","score_opus":0.00597621957076031,"score_gpt":0.19423618746422874,"score_spread":0.18825996789346844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372925307","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027556127,0.00017948145,0.99647546,0.000024453762,0.00004751785,0.0017825052,0.000032827593,0.00015164392,0.0010305437],"genre_scores_gemma":[0.95058477,6.937539e-7,0.048817158,0.00008088473,0.00012370736,0.00033350327,0.0000034343984,0.00002534934,0.000030474546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999366,0.000015046201,0.00024129743,0.00012990196,0.000072794406,0.00017500162],"domain_scores_gemma":[0.9993276,0.00023488571,0.000054863187,0.00029627088,0.00005095637,0.000035396988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013974162,0.00010631751,0.0001464023,0.000045517903,0.00006724173,0.000010656401,0.0002091938,0.000049302755,8.7435893e-7],"category_scores_gemma":[2.5694646e-7,0.00008448237,0.000082293074,0.00012696964,0.000015395703,0.000017127513,0.0000060968696,0.000057288275,0.000010687337],"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":[0.000022658192,0.000045691682,0.00005824393,0.00041194542,0.000019940328,1.5794983e-7,0.000053852993,0.80310374,0.18865305,0.0002954327,0.0003626572,0.006972644],"study_design_scores_gemma":[0.0018975724,0.00003710917,0.00043691092,0.000043170618,0.00003675362,0.0000026386313,0.000036481088,0.84215945,0.07080059,0.00007659391,0.08427425,0.00019847057],"about_ca_topic_score_codex":0.0000028803804,"about_ca_topic_score_gemma":0.0000011564733,"teacher_disagreement_score":0.9503092,"about_ca_system_score_codex":0.000054544533,"about_ca_system_score_gemma":0.000008466108,"threshold_uncertainty_score":0.34450912},"labels":[],"label_agreement":null},{"id":"W2373087632","doi":"","title":"Study of 3-D Gas Flow in Intake Duct of Internal Combustion Engine","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Duct (anatomy); Internal combustion engine; Combustion; Internal flow; Mechanics; Flow (mathematics); Environmental science; Mechanical engineering; Engineering; Chemistry; Physics; Anatomy; Medicine","score_opus":0.013384561326218394,"score_gpt":0.2064266030068322,"score_spread":0.19304204168061379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373087632","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":[0.9870053,0.00012401356,0.009119706,0.0000037823957,0.00015053885,0.00013876622,0.0000014379167,0.000043416883,0.003413056],"genre_scores_gemma":[0.999619,0.0000089926325,0.0002141754,0.0000017042458,0.0000253129,0.000003540554,4.3631783e-7,0.000009021415,0.00011778769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994979,0.000013647877,0.00026245415,0.000059393347,0.00008643027,0.0000802064],"domain_scores_gemma":[0.99981135,0.000020184434,0.000022163746,0.00011041967,0.000019168869,0.000016732147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004589506,0.00006465847,0.0001794972,0.000079755526,0.0000034221296,0.0000018339855,0.0000567224,0.000021504251,0.00010111941],"category_scores_gemma":[0.000009828741,0.00005880388,0.000021866597,0.0000991088,0.000005926112,0.000047688507,0.0000068885497,0.00006595741,0.0000056799568],"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":[0.000018182149,0.00028829812,0.009814896,0.000063034466,0.000053736538,0.00001188615,0.0021657678,0.94450796,0.014859108,0.00006979897,0.00013349846,0.02801381],"study_design_scores_gemma":[0.002615581,0.00040573336,0.0072605247,0.00006587888,0.000013384643,0.000009487136,0.0025014663,0.97795284,0.008876137,0.000036359175,0.000111454705,0.00015113193],"about_ca_topic_score_codex":0.000082004895,"about_ca_topic_score_gemma":0.0001801583,"teacher_disagreement_score":0.033444878,"about_ca_system_score_codex":0.000018907318,"about_ca_system_score_gemma":4.848054e-7,"threshold_uncertainty_score":0.23979525},"labels":[],"label_agreement":null},{"id":"W2373460672","doi":"","title":"The transfer of athletic skills and athletic qualities between 5 0m run and standing long jump for college students in Hainan(I)","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Long jump; Grading (engineering); Jump; Psychology; Mathematics education; Motion (physics); Mathematics; Engineering; Computer science; Artificial intelligence; Physics","score_opus":0.012418627945285376,"score_gpt":0.23891662264644106,"score_spread":0.2264979947011557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373460672","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":[0.97351825,0.0034090313,0.02170398,0.00005291971,0.00007430113,0.00059128006,0.000052706713,0.00004388988,0.00055362505],"genre_scores_gemma":[0.99839765,0.00037655342,0.000061820145,0.000008011669,0.000032267133,0.000032827953,9.002962e-7,0.000021806523,0.001068192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912995,0.000032092485,0.0003211953,0.00012677682,0.00014994225,0.00024004866],"domain_scores_gemma":[0.9993259,0.0004824254,0.000014025753,0.00011228879,0.000019866906,0.000045550976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022484534,0.00012946574,0.0002890212,0.0000548752,0.00008187924,0.000030502051,0.000085186286,0.00005206987,0.000006279522],"category_scores_gemma":[0.00002047266,0.00009690629,0.00003440385,0.00007487617,0.00005504022,0.00007166196,0.0000116160145,0.00006413927,6.185776e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018814825,0.0003886545,0.7819979,0.0046670525,0.0012553254,0.000052466024,0.052350193,0.0072810454,0.007020085,0.078871444,0.00083806505,0.06508958],"study_design_scores_gemma":[0.04722718,0.002033736,0.7073196,0.003083863,0.00078527525,0.0000751515,0.05410584,0.12700474,0.010860941,0.010978706,0.031971905,0.0045530573],"about_ca_topic_score_codex":0.000016496198,"about_ca_topic_score_gemma":0.00014547662,"teacher_disagreement_score":0.11972369,"about_ca_system_score_codex":0.00003254649,"about_ca_system_score_gemma":0.0000016031117,"threshold_uncertainty_score":0.39517236},"labels":[],"label_agreement":null},{"id":"W2373461325","doi":"","title":"Application of Hall Current Sensor in Valve Current Measurement","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hall effect sensor; Current sensor; Current (fluid); Computer science; Hall effect; Linearity; Isolation (microbiology); Electrical engineering; Engineering; Magnet","score_opus":0.012357706960515193,"score_gpt":0.24119459574723426,"score_spread":0.22883688878671907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373461325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025726014,0.0046312627,0.9910978,0.000044245495,0.00004185479,0.0010118842,0.000011460769,0.00016191554,0.0004269915],"genre_scores_gemma":[0.9895898,0.00011868969,0.00975307,0.00001615062,0.0001656514,0.0003177698,0.000020712134,0.000015914082,0.0000022175193],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989895,0.000015768943,0.0004047468,0.00021955697,0.00017494352,0.00019547022],"domain_scores_gemma":[0.9994809,0.000013817893,0.00006159934,0.0002893283,0.00010026804,0.000054054788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010029916,0.0001489107,0.00020792312,0.00011472423,0.000027472866,0.0000115434195,0.0001775793,0.00003701729,0.0000013687664],"category_scores_gemma":[3.6213072e-7,0.0001592662,0.000091437796,0.00024872768,0.000012970218,0.000051344992,0.000011988503,0.00013951605,0.000038925053],"study_design_candidate":"design_other","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":[0.0000022893435,0.00015667074,0.00026303978,0.00007744521,0.0000112712605,7.799905e-8,0.00013108863,0.018507114,0.06427387,0.0013941501,0.00021850468,0.9149645],"study_design_scores_gemma":[0.0013214849,0.000038008304,0.028179055,0.00015211526,0.000042474294,0.000007457236,0.000030352947,0.08845877,0.011870076,0.0039696614,0.8653261,0.00060443016],"about_ca_topic_score_codex":0.0000062126965,"about_ca_topic_score_gemma":0.00000961663,"teacher_disagreement_score":0.9870172,"about_ca_system_score_codex":0.00013238145,"about_ca_system_score_gemma":0.000010739103,"threshold_uncertainty_score":0.6494687},"labels":[],"label_agreement":null},{"id":"W2373471874","doi":"","title":"Performance Analysis of an Improved Algorithm for High Precision Timer","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Timer; Computer science; Realization (probability); Algorithm; Basis (linear algebra); Resolution (logic); Real-time computing; Computer hardware; Artificial intelligence","score_opus":0.003057499857670419,"score_gpt":0.2010092225150982,"score_spread":0.19795172265742778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373471874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087391384,0.000067730296,0.91174483,0.0000019292704,0.000012757955,0.00051490887,0.000100680285,0.000096579504,0.000069202404],"genre_scores_gemma":[0.52481025,0.0000025254928,0.4745399,0.0000057042903,0.00013992166,0.00022682038,0.00018998404,0.00001746517,0.00006742676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994191,0.000004826306,0.0002465661,0.00015604505,0.00004806785,0.00012540344],"domain_scores_gemma":[0.999605,0.000025087658,0.00004423664,0.00023056351,0.0000694917,0.00002561127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038860566,0.000093411254,0.000199029,0.00012947015,0.000047964684,0.000011448502,0.00013067234,0.00004417603,0.0000043171067],"category_scores_gemma":[4.3219423e-8,0.00009359398,0.000078615725,0.0003393165,0.000011244454,0.000077360724,0.000009589889,0.000031368112,0.000003299446],"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":[0.0000025496383,0.00005049888,0.00006200609,0.000020468799,0.0001764877,3.142555e-8,0.00002073627,0.27843535,0.16683735,0.0000754748,0.00006528098,0.55425376],"study_design_scores_gemma":[0.00023557762,0.000016795228,0.0020281018,0.0000021463698,0.00016611363,7.365068e-7,0.0000026332946,0.974222,0.013437574,0.000077992394,0.00970769,0.00010260803],"about_ca_topic_score_codex":0.000041187428,"about_ca_topic_score_gemma":0.0000085099355,"teacher_disagreement_score":0.6957867,"about_ca_system_score_codex":0.000025081068,"about_ca_system_score_gemma":0.0000036899316,"threshold_uncertainty_score":0.3816652},"labels":[],"label_agreement":null},{"id":"W2373780931","doi":"","title":"Test Data Prediction of Thermal Protective Performance of Fire Protective Clothing Based on Artificial Neural Network","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Clothing; Artificial neural network; Test data; Test (biology); Thermal; Simulation; Artificial intelligence; Meteorology","score_opus":0.013162280690129724,"score_gpt":0.2137159496326947,"score_spread":0.20055366894256496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373780931","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":[0.15447602,0.00007388798,0.84221727,0.00005510694,0.00003363303,0.002420688,0.00018647143,0.0002304986,0.00030640684],"genre_scores_gemma":[0.990961,0.0000010946445,0.008416216,0.000026021447,0.0003267611,0.00020117116,0.00004937553,0.000015841406,0.0000025129239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991975,0.000019767824,0.0002984059,0.0002179193,0.00010716134,0.0001592621],"domain_scores_gemma":[0.99932003,0.00006206431,0.000095381554,0.00043021602,0.00006531715,0.000027001564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009105331,0.00012648189,0.0001781837,0.000040207662,0.000086232554,0.000010638187,0.00025553972,0.00005812013,0.0000016465455],"category_scores_gemma":[0.0000014632885,0.00012416382,0.0000365521,0.00022534959,0.000026429283,0.00012138453,0.00002100065,0.00016810995,0.0000032090402],"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":[0.00002893299,0.00008092378,0.000203329,0.000047917252,0.000013195121,1.311133e-7,0.000099387835,0.73258644,0.10743358,0.000033953216,0.000046871086,0.15942535],"study_design_scores_gemma":[0.00021581375,0.00018354051,0.011808845,0.000060804126,0.000012454578,0.0000016594639,0.000008416435,0.97385734,0.012948972,0.00008178602,0.00072570174,0.00009465185],"about_ca_topic_score_codex":0.0000061401124,"about_ca_topic_score_gemma":0.0000013872306,"teacher_disagreement_score":0.83648497,"about_ca_system_score_codex":0.000033594268,"about_ca_system_score_gemma":0.000012566981,"threshold_uncertainty_score":0.50632536},"labels":[],"label_agreement":null},{"id":"W2373835236","doi":"","title":"The GBT Monitoring System Based on ControlNetNetwork","year":2002,"lang":"en","type":"article","venue":"Machine Dvevlpment","topic":"Advanced Sensor and Control Systems","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":"Rockwell Automation (Canada)","funders":"","keywords":"Trim; Control system; Computer science; Control engineering; Embedded system; Engineering; Real-time computing; Electrical engineering; Operating system","score_opus":0.006194111214075401,"score_gpt":0.17519452115072404,"score_spread":0.16900040993664864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373835236","genre_codex":"other","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":[0.09607522,0.08396822,0.23033409,0.003112585,0.04065501,0.006967969,0.00015525214,0.011777187,0.5269545],"genre_scores_gemma":[0.9986497,0.000041485255,0.00007821643,0.000035083925,0.0005393845,0.00008525709,0.000002048104,0.000041228264,0.00052758725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988999,0.000048808182,0.00026536506,0.00015530152,0.00026997118,0.00036069314],"domain_scores_gemma":[0.9993111,0.00017328809,0.000035733345,0.00037787107,0.00001668156,0.00008536592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001533233,0.00020003239,0.00020181361,0.000032489537,0.00023952962,0.00006162648,0.00017270901,0.000043494674,0.000018601002],"category_scores_gemma":[0.000009702758,0.00013711951,0.00008293858,0.00008888738,0.000013378781,0.000028881977,0.000009830242,0.00017748307,0.00015337509],"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":[0.000029723366,0.000024337172,0.0012348612,0.00005274,0.00006823553,0.00002280831,0.00007763797,0.96089625,0.0005366262,0.0009604569,0.0013634216,0.034732874],"study_design_scores_gemma":[0.00082827813,0.00004422349,0.0004451395,0.00007681037,0.000012517494,0.0000032422931,0.000052581665,0.9579103,0.00028168378,0.000007374441,0.040173933,0.00016390225],"about_ca_topic_score_codex":0.000010127427,"about_ca_topic_score_gemma":0.000004022722,"teacher_disagreement_score":0.9025745,"about_ca_system_score_codex":0.00019312077,"about_ca_system_score_gemma":0.0000016783201,"threshold_uncertainty_score":0.55915713},"labels":[],"label_agreement":null},{"id":"W2374191277","doi":"","title":"Development of A New Leak Monitoring & Location System for Oil Transport Pipelines","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Pipeline transport; Leak; Pipeline (software); Data acquisition; Embedded system; Engineering; Leak detection; Real-time computing; Visual programming language; Computer science; Computer hardware; Operating system; Mechanical engineering; Environmental engineering","score_opus":0.028001139885892205,"score_gpt":0.21904574034771965,"score_spread":0.19104460046182745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374191277","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":[0.08585115,0.0014826319,0.9051055,0.000011271953,0.0006858691,0.00016390048,0.0000018190457,0.00044222845,0.0062556886],"genre_scores_gemma":[0.9813099,0.00000969754,0.015567413,9.0604595e-7,0.00020334795,0.000024886538,0.0000016859359,0.00001825658,0.0028639007],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942756,0.0000016934808,0.00029024936,0.000077087876,0.00008510299,0.00011832008],"domain_scores_gemma":[0.9997891,0.000011850736,0.000023453054,0.00008724115,0.000047629677,0.000040693594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037552036,0.00008339749,0.0001474493,0.00003170507,0.000024109619,0.0000033744473,0.000049286853,0.00003465116,0.00000527421],"category_scores_gemma":[0.0000027533558,0.000077310724,0.00003167071,0.000070374954,0.0000024168223,0.000057187128,0.0000011769927,0.000022054825,0.000010146955],"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":[0.000028669592,0.00003526493,0.001119058,0.0035118754,0.000178834,0.0000018525437,0.005502106,0.25642565,0.13074458,0.0005374104,0.00034940336,0.6015653],"study_design_scores_gemma":[0.0038624443,0.000048188573,0.0018715356,0.0011770196,0.00011019463,0.000016170463,0.005781383,0.41661233,0.49058768,0.000016277498,0.07894493,0.0009718494],"about_ca_topic_score_codex":0.000011314097,"about_ca_topic_score_gemma":0.000030078689,"teacher_disagreement_score":0.89545876,"about_ca_system_score_codex":0.000049456226,"about_ca_system_score_gemma":0.0000068225368,"threshold_uncertainty_score":0.315264},"labels":[],"label_agreement":null},{"id":"W2374276016","doi":"","title":"Comparative Study of Genetic Algorithms'Three Encoding Strategies","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Encoding (memory); Decimal; Genetic algorithm; Algorithm; Quality control and genetic algorithms; Point (geometry); Artificial neural network; Floating point; Binary number; Artificial intelligence; Machine learning; Meta-optimization; Arithmetic; Mathematics","score_opus":0.022981347852850637,"score_gpt":0.2522972038866613,"score_spread":0.2293158560338107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374276016","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":[0.32921535,0.00025123605,0.66880065,0.0000017992087,0.0000137964735,0.0006059865,0.000005418074,0.00013255191,0.0009731857],"genre_scores_gemma":[0.9640156,0.000009796934,0.03559764,0.0000036860527,0.00010440822,0.00023703743,0.0000036193906,0.0000138568,0.000014369802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993298,0.000011751071,0.00027623374,0.00015840305,0.00008712403,0.00013668073],"domain_scores_gemma":[0.9996226,0.00003258985,0.000040775998,0.00021279181,0.00005418606,0.00003708211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000017820857,0.00012253984,0.00023350722,0.000061802944,0.00009924585,0.000013483587,0.00016950893,0.000028112136,0.0000043170935],"category_scores_gemma":[4.4685248e-8,0.00012630656,0.000036008114,0.00017452419,0.00003249224,0.000069663234,0.000021261414,0.00007741635,0.000025866893],"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":[0.000009391213,0.00082491135,0.006385714,0.000118422155,0.00043771925,0.000015943757,0.019750012,0.7720591,0.14945148,0.00088643073,0.000889746,0.049171124],"study_design_scores_gemma":[0.0075085633,0.0008342783,0.27779087,0.00008925009,0.00022834641,0.0004171189,0.019549968,0.5530169,0.022218939,0.002988794,0.11280681,0.0025501132],"about_ca_topic_score_codex":0.000025273726,"about_ca_topic_score_gemma":0.000040120023,"teacher_disagreement_score":0.6348002,"about_ca_system_score_codex":0.000022037804,"about_ca_system_score_gemma":0.000010225289,"threshold_uncertainty_score":0.5150632},"labels":[],"label_agreement":null},{"id":"W2374940391","doi":"","title":"Anti-interference Design of UAV's Flight Control Software","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Interference (communication); Software; Flight management system; Reliability (semiconductor); Control software; Control (management); Flight simulator; Reliability engineering; Simulation; Artificial intelligence; Telecommunications; Operating system; Engineering","score_opus":0.00706344942532879,"score_gpt":0.20790149910807681,"score_spread":0.20083804968274802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374940391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014896728,0.0004284351,0.996791,0.000012258141,0.000033143075,0.0006120801,0.000018570507,0.00029202353,0.00032283363],"genre_scores_gemma":[0.8672471,0.0000091000775,0.13243735,0.00004369827,0.00012353472,0.00007036562,0.000006180268,0.000022586863,0.000040060448],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922115,0.000011291049,0.00031410265,0.0001622423,0.00007073935,0.00022049862],"domain_scores_gemma":[0.99944305,0.00012902163,0.000047435944,0.00024736897,0.000072951145,0.000060157236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001049329,0.00013056022,0.00022183605,0.000075194635,0.00004543044,0.000013980982,0.00021922495,0.000059291586,0.000008892156],"category_scores_gemma":[5.338037e-7,0.00013120948,0.000055467954,0.00015425919,0.00002796482,0.0000551583,0.000014148212,0.000087082204,0.000059213417],"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":[0.000016904189,0.000082363986,0.0008637425,0.00011401765,0.00013049782,0.000003642573,0.0002718383,0.1378226,0.68384546,0.0012916478,0.0013841698,0.17417309],"study_design_scores_gemma":[0.0043439255,0.00014947241,0.011892651,0.0001846757,0.00015370276,0.00012381806,0.00012298036,0.16427223,0.3473114,0.002285414,0.46756583,0.0015938836],"about_ca_topic_score_codex":0.0000040321383,"about_ca_topic_score_gemma":0.0000021986461,"teacher_disagreement_score":0.86575747,"about_ca_system_score_codex":0.0000299151,"about_ca_system_score_gemma":0.000007014353,"threshold_uncertainty_score":0.5350567},"labels":[],"label_agreement":null},{"id":"W2374991092","doi":"","title":"Research of the Improved Hybrid Optimizational Algorithm on the Neural Network","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Generalization; Genetic algorithm; Gradient descent; Code (set theory); Simple (philosophy); Algorithm; Optimization algorithm; Hybrid algorithm (constraint satisfaction); Mathematical optimization; Artificial intelligence; Machine learning; Mathematics","score_opus":0.010938276001884854,"score_gpt":0.24583964270435665,"score_spread":0.2349013667024718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374991092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01032801,0.000079740435,0.98555744,0.0007709062,0.00017295807,0.0012364661,0.00003890288,0.00011219882,0.0017034042],"genre_scores_gemma":[0.9375639,0.0000052109453,0.06026116,0.00019915761,0.0011633944,0.0005382029,0.000014645066,0.000035559948,0.000218755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935687,0.00003436205,0.00016239354,0.00012516834,0.00012869273,0.00019252232],"domain_scores_gemma":[0.99924284,0.00019954868,0.000027128812,0.00040291142,0.00009905101,0.000028511862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016539056,0.00007975707,0.000080194644,0.000024053137,0.00023333721,0.00002886999,0.00041595264,0.00003171813,0.000013905958],"category_scores_gemma":[8.7671253e-7,0.00004960122,0.000055141914,0.0002500706,0.00007842617,0.000024901787,0.00005701852,0.0003885339,0.000018182142],"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":[0.000003642184,0.000052699354,0.000055188048,0.000015133128,0.000050919673,2.2861848e-7,0.00009659629,0.70322484,0.09369295,0.015121574,0.014728927,0.1729573],"study_design_scores_gemma":[0.00013660153,0.000007532714,0.00062572595,0.0000055474793,0.0000040931213,0.000008849047,0.000010711085,0.82126343,0.0050521516,0.0012016745,0.17160223,0.00008142402],"about_ca_topic_score_codex":0.0000054994453,"about_ca_topic_score_gemma":0.00000506755,"teacher_disagreement_score":0.9272359,"about_ca_system_score_codex":0.000013554019,"about_ca_system_score_gemma":0.000011029992,"threshold_uncertainty_score":0.20226792},"labels":[],"label_agreement":null},{"id":"W2375278722","doi":"","title":"Electric Control Simulation System of Marine Auxiliaries","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Software; Interface (matter); Flash (photography); Control (management); Software engineering; Embedded system; Simulation; Operating system; Artificial intelligence","score_opus":0.0033046222245993176,"score_gpt":0.20356912380257824,"score_spread":0.20026450157797893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375278722","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":[0.010453156,0.00019478681,0.98562354,0.000005893742,0.000025770654,0.0005722294,0.000008030494,0.00035374932,0.002762817],"genre_scores_gemma":[0.98866713,0.000002268482,0.0110192755,0.000014466646,0.0001747768,0.00005574454,0.000011478561,0.000020248135,0.000034589062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926084,0.000008013205,0.00033949662,0.00012336284,0.00008121554,0.0001870449],"domain_scores_gemma":[0.9995105,0.00011973912,0.000054220625,0.00018967244,0.00008111115,0.000044735225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010286485,0.000107803855,0.00018617787,0.00010389259,0.000050599643,0.000012108207,0.000114931965,0.00005562717,0.0000034406733],"category_scores_gemma":[3.5242948e-7,0.00011192846,0.000053353942,0.0002562579,0.0000127988105,0.00005044403,0.000011664337,0.00006939202,0.000028379374],"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":[0.00002125184,0.000040267518,0.001178315,0.0002565112,0.00009670282,0.0000014198228,0.00011857324,0.5966348,0.17893267,0.010349339,0.00009276888,0.2122774],"study_design_scores_gemma":[0.0012279699,0.000027858929,0.009432922,0.000022884155,0.00005146331,0.000018585433,0.000057532907,0.85564846,0.01941594,0.00029924602,0.113483846,0.00031329828],"about_ca_topic_score_codex":0.000010566747,"about_ca_topic_score_gemma":0.000007041385,"teacher_disagreement_score":0.978214,"about_ca_system_score_codex":0.00006989404,"about_ca_system_score_gemma":0.000005420625,"threshold_uncertainty_score":0.456431},"labels":[],"label_agreement":null},{"id":"W2375486074","doi":"","title":"An Emotion Intensity Calculating Method","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Feeling; Intensity (physics); Computer science; Humanity; Cognitive psychology; Psychology; Social psychology; Physics; Optics","score_opus":0.010145446066673175,"score_gpt":0.2672957213070801,"score_spread":0.25715027524040696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375486074","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":[0.088037655,0.000023341165,0.89707416,0.000023507826,0.00011009205,0.00004648787,2.9916976e-7,0.00048277294,0.014201688],"genre_scores_gemma":[0.974822,5.8408006e-7,0.02490406,0.000091650814,0.00009531425,4.0271746e-7,0.0000019121132,0.000006092322,0.000078023324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967,0.000012881891,0.00009192809,0.00007209662,0.000049790215,0.00010327533],"domain_scores_gemma":[0.99980843,0.000008242517,0.000007179874,0.00011402431,0.000021691307,0.000040412688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006846388,0.000057186593,0.00009390609,0.000019176083,0.000024650977,0.0000118589105,0.000031955326,0.000030198726,0.000014669848],"category_scores_gemma":[0.0000068740082,0.000050989813,0.00002351075,0.00004651915,0.0000017260751,0.00010755236,0.000001278489,0.00005291787,0.000013240455],"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":[0.0000063142843,0.000012749033,0.0002802983,0.000007105006,0.000013782403,0.000005443938,0.00030084094,0.38610077,0.34564516,0.0030512093,0.00011417169,0.26446214],"study_design_scores_gemma":[0.000118206655,0.000028167688,0.008213716,0.0000044892745,0.000004448527,0.000010916541,0.00012068037,0.98431563,0.006014481,0.0008176589,0.00025659462,0.000095021],"about_ca_topic_score_codex":0.000013910849,"about_ca_topic_score_gemma":0.0000043376376,"teacher_disagreement_score":0.8867843,"about_ca_system_score_codex":0.000019527775,"about_ca_system_score_gemma":7.4129287e-7,"threshold_uncertainty_score":0.20793042},"labels":[],"label_agreement":null},{"id":"W2376096335","doi":"","title":"Design of Driver Road Test Surveillance System Based on Arm-Linux","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Upgrade; USB; ARM9; License; Embedded system; Global Positioning System; Operating system; Computer security; Test (biology); Computer hardware; Real-time computing; Software","score_opus":0.0050995096260641835,"score_gpt":0.19245473276401628,"score_spread":0.1873552231379521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376096335","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035444426,0.00003343523,0.99410623,0.000020282052,0.00006614095,0.0006942021,0.00003602415,0.00035788573,0.0011413377],"genre_scores_gemma":[0.9364559,0.0000013593727,0.0630574,0.000027398655,0.0001710724,0.00021217635,0.000013224229,0.000029648243,0.000031827632],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992762,0.000016984546,0.0002529407,0.00019280026,0.000094075,0.00016697175],"domain_scores_gemma":[0.9992359,0.00018273691,0.00005317679,0.00040179724,0.00007015536,0.000056207864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008782162,0.0001432083,0.00020010032,0.00006759313,0.000054680182,0.000017728928,0.00022002064,0.00007343767,0.0000073699953],"category_scores_gemma":[8.142153e-7,0.00014224785,0.000051816627,0.00015862564,0.00002612603,0.00002979819,0.000010786375,0.00015187656,0.000099671786],"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":[0.000005450725,0.00010360373,0.00059466285,0.00012759097,0.000021522545,0.0000011704064,0.000052189615,0.34781447,0.6205365,0.00064324535,0.0005717713,0.02952783],"study_design_scores_gemma":[0.0006080962,0.00003914978,0.0033650727,0.00003416228,0.000009364611,0.000010186253,0.000011476091,0.9306024,0.01964197,0.00003142907,0.045365162,0.00028153328],"about_ca_topic_score_codex":0.0000066344455,"about_ca_topic_score_gemma":0.000004668888,"teacher_disagreement_score":0.93291146,"about_ca_system_score_codex":0.000030995216,"about_ca_system_score_gemma":0.0000118824855,"threshold_uncertainty_score":0.5800699},"labels":[],"label_agreement":null},{"id":"W2376479501","doi":"","title":"Study on the RBF Neural Network Hysteresis Modeling for Piezoceramic Actuator","year":2005,"lang":"en","type":"article","venue":"Acta Simulata Systematica Sinica","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Actuator; Hysteresis; Artificial neural network; Displacement (psychology); Dimension (graph theory); Control theory (sociology); Nonlinear system; Computer science; Mathematics; Artificial intelligence; Physics; Control (management)","score_opus":0.04424924874457767,"score_gpt":0.2752902273154953,"score_spread":0.23104097857091763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376479501","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":[0.96398914,0.00040007138,0.02463301,0.0007369531,0.0009430183,0.006499793,0.000047159592,0.00078554254,0.0019652885],"genre_scores_gemma":[0.99790627,0.0000025828858,0.0003407221,0.00021734808,0.0009895995,0.00030185655,0.0000068020204,0.00012629366,0.00010850325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99722075,0.00020940475,0.0011217614,0.0004008174,0.00041143454,0.0006358517],"domain_scores_gemma":[0.99596894,0.0023422989,0.00015204934,0.0013255423,0.00008440036,0.00012676005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00072027405,0.00042342042,0.0008209612,0.00005761429,0.000285687,0.00016484721,0.0006071591,0.00011997554,0.000018498355],"category_scores_gemma":[0.00028449402,0.00028510817,0.00023967876,0.00017885178,0.000019781186,0.00022575319,0.00005209551,0.00025147037,0.00009619499],"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":[0.000054004202,0.00007632097,0.000031880692,0.0003209295,0.00027171054,0.000002592473,0.0006620873,0.99677026,0.00018906614,0.0003440905,0.00089857465,0.00037849194],"study_design_scores_gemma":[0.0010195031,0.00015074328,0.000032698896,0.00032026053,0.0001334523,0.000006002887,0.0011934261,0.9959959,0.0000114437335,0.00010365755,0.0007075839,0.0003253513],"about_ca_topic_score_codex":0.0000035387227,"about_ca_topic_score_gemma":0.000017554621,"teacher_disagreement_score":0.03391713,"about_ca_system_score_codex":0.000120536286,"about_ca_system_score_gemma":0.000014036417,"threshold_uncertainty_score":0.9999601},"labels":[],"label_agreement":null},{"id":"W2376663453","doi":"","title":"Micro-angle measuring system based on optical technology to verify the gyroscope orientation mechanism","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Gyroscope; Computer science; Orientation (vector space); Ring laser gyroscope; SIGNAL (programming language); Mechanism (biology); Vibrating structure gyroscope; Rate integrating gyroscope; Optics; Acoustics; Physics","score_opus":0.006881663964255606,"score_gpt":0.21466577130643646,"score_spread":0.20778410734218086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2376663453","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":[0.13155746,0.000059139616,0.83399796,0.00094001275,0.0007377856,0.0007098651,0.0000035996602,0.0015664202,0.030427722],"genre_scores_gemma":[0.995928,4.911522e-7,0.0036229915,0.00023186252,0.0000718862,0.000030621395,0.0000012619539,0.000018492026,0.00009440517],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992452,0.000015324831,0.00017528688,0.00016568419,0.00016127598,0.00023720061],"domain_scores_gemma":[0.9995659,0.000031076954,0.000014256032,0.00029814185,0.000034884994,0.000055745608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009866829,0.00013037684,0.00015410145,0.00010119941,0.00007888586,0.00002896349,0.00014384498,0.000091075104,0.0000072549738],"category_scores_gemma":[0.000021618798,0.00009429626,0.00003680294,0.00023737004,0.0000074126247,0.00003925768,0.000006794117,0.00012505837,0.00013526063],"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":[0.00003988333,0.000019966074,0.000013927978,0.00002901953,0.000014932458,0.0000135325145,0.000082468665,0.1321286,0.7621525,0.09934807,0.00011553533,0.0060416027],"study_design_scores_gemma":[0.0009854508,0.0003465298,0.00020965197,0.0001250332,0.00002423984,0.000020124315,0.0011510836,0.18912196,0.8054436,0.0004914155,0.0017273619,0.00035358543],"about_ca_topic_score_codex":0.0000025085096,"about_ca_topic_score_gemma":0.0000036057193,"teacher_disagreement_score":0.8643705,"about_ca_system_score_codex":0.00013858498,"about_ca_system_score_gemma":0.000005783799,"threshold_uncertainty_score":0.384529},"labels":[],"label_agreement":null},{"id":"W2377441786","doi":"","title":"Reinforcement learning algorithm based on general fuzzifiedcerebellar model articulation controller","year":2004,"lang":"en","type":"article","venue":"Systems engineering and electronics","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Cerebellar model articulation controller; Reinforcement learning; Computer science; Field (mathematics); Controller (irrigation); Articulation (sociology); Reinforcement; Control theory (sociology); Artificial intelligence; Algorithm; Control (management); Engineering; Mathematics","score_opus":0.0037406363813747077,"score_gpt":0.17354845439602024,"score_spread":0.16980781801464553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377441786","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":[0.025094178,0.0029603445,0.97032076,0.0000141087785,0.00025540867,0.0003207198,0.000002303306,0.0005588468,0.00047333605],"genre_scores_gemma":[0.9982802,0.00012585364,0.0011309519,0.00001618856,0.00017670702,0.000052848784,0.000015655243,0.000061025377,0.00014056075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880403,0.000012596772,0.00029654993,0.0001975277,0.00021701389,0.00047227883],"domain_scores_gemma":[0.9996537,0.000024509749,0.000035380213,0.00014758838,0.000033804095,0.00010503524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014489397,0.00024960635,0.00028585203,0.0000860298,0.000086086024,0.000058370562,0.000053792926,0.00011137586,8.270641e-7],"category_scores_gemma":[0.000011975753,0.0002469575,0.00005878734,0.00010478518,0.0000067041155,0.00007689146,0.0000055238074,0.00028348697,0.000007515417],"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":[0.000008177782,0.0000050923754,0.000003357148,0.00006266822,0.000037474954,0.0000020570408,0.000046568995,0.98750615,0.00823757,0.003329862,0.000015335449,0.0007456888],"study_design_scores_gemma":[0.0013352855,0.00010721936,0.0000065313625,0.000068692425,0.000018317973,0.000009412765,0.000016164795,0.9955059,0.0006548895,0.00004707708,0.001957284,0.00027320444],"about_ca_topic_score_codex":0.000014430332,"about_ca_topic_score_gemma":9.591895e-7,"teacher_disagreement_score":0.973186,"about_ca_system_score_codex":0.0002862685,"about_ca_system_score_gemma":0.000021812284,"threshold_uncertainty_score":0.9999983},"labels":[],"label_agreement":null},{"id":"W2377794911","doi":"","title":"The application of E~2POT digital potentiometer in two-arm bridge","year":2005,"lang":"en","type":"article","venue":"Electronics Instrumentation Customer","topic":"Advanced Sensor and Control Systems","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":"L'Alliance Boviteq","funders":"","keywords":"Potentiometer; Flow chart; Bridge (graph theory); Software; Chart; Engineering; Computer science; Embedded system; Computer hardware; Electrical engineering; Engineering drawing; Operating system; Voltage; Mathematics; Medicine; Surgery","score_opus":0.005681774899126592,"score_gpt":0.25180712479856326,"score_spread":0.24612534989943669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377794911","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":[0.9557355,0.0009354492,0.032164674,0.00013536359,0.00018818077,0.00046575227,0.000012577195,0.00012451496,0.010237957],"genre_scores_gemma":[0.9994632,0.000097550896,0.00010478739,0.000020491574,0.0000701049,0.000045787576,0.000022274251,0.000019693734,0.00015612303],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991931,0.0000126266195,0.00030839368,0.00010668857,0.00014360949,0.00023559683],"domain_scores_gemma":[0.9996983,0.000034480967,0.000059501064,0.00015403285,0.000029168566,0.000024527659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009243281,0.00009613372,0.00010557762,0.000091445785,0.000044831933,0.000036049925,0.000105611616,0.000025815922,0.000009107614],"category_scores_gemma":[0.000005679341,0.000084072766,0.00004313436,0.0002629867,0.00002371592,0.00028040228,0.00000788647,0.00012281667,0.000083093175],"study_design_candidate":"design_other","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":[0.000033194257,0.000053063355,0.0022935013,0.000015977808,0.00005486233,2.451023e-7,0.0002411445,0.06371984,0.027282696,0.010224141,0.00010530759,0.895976],"study_design_scores_gemma":[0.0071443017,0.00018310959,0.01904086,0.00003898939,0.00005543553,0.000041238545,0.00060485,0.46175915,0.06601276,0.0039115436,0.44021347,0.0009942781],"about_ca_topic_score_codex":0.000009325141,"about_ca_topic_score_gemma":0.00013089368,"teacher_disagreement_score":0.89498174,"about_ca_system_score_codex":0.00021335672,"about_ca_system_score_gemma":0.000012777124,"threshold_uncertainty_score":0.3428388},"labels":[],"label_agreement":null},{"id":"W2377930373","doi":"","title":"A New Style Intelligent System for Inspection of Accumulator","year":2001,"lang":"en","type":"article","venue":"Journal of Jiangnan College","topic":"Advanced Sensor and Control Systems","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":"Discovery Air (Canada)","funders":"","keywords":"Accumulator (cryptography); Automotive engineering; Computer science; Hydraulic accumulator; Electrical equipment; Embedded system; Real-time computing; Engineering; Electrical engineering; Mechanical engineering","score_opus":0.013523450057627307,"score_gpt":0.236668336796418,"score_spread":0.22314488673879068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377930373","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":[0.27730238,0.005622984,0.70760155,0.000106048035,0.0038496598,0.000776323,0.000059031925,0.0001910067,0.004491017],"genre_scores_gemma":[0.99710333,0.00007715591,0.0016945046,0.0000050296335,0.000613285,0.0000027185918,3.844032e-7,0.00002409055,0.00047948098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907434,0.0000142447025,0.00054234994,0.000057350233,0.00016937443,0.00014232699],"domain_scores_gemma":[0.99937594,0.00005673733,0.00020713103,0.000108429915,0.00014636993,0.00010537575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014240303,0.00010013936,0.00032877908,0.00011619734,0.00003248504,0.000009693839,0.00011012749,0.000057311,0.0000106087955],"category_scores_gemma":[0.000025390775,0.000086852684,0.00017362501,0.00017978795,0.000006325288,0.00013375553,0.0000052093883,0.00008851053,0.0000037039752],"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":[0.0037943488,0.00039855464,0.0047748787,0.0032232683,0.0025815668,0.00059636385,0.00403341,0.4480268,0.30199826,0.024929844,0.11921599,0.08642671],"study_design_scores_gemma":[0.016560733,0.0029981143,0.0031555041,0.0032177635,0.0005769803,0.004112903,0.01746515,0.22415292,0.119176,0.00091794785,0.6062964,0.0013695437],"about_ca_topic_score_codex":0.000007637229,"about_ca_topic_score_gemma":0.00001539248,"teacher_disagreement_score":0.71980095,"about_ca_system_score_codex":0.00018498625,"about_ca_system_score_gemma":0.00003827656,"threshold_uncertainty_score":0.35417497},"labels":[],"label_agreement":null},{"id":"W2378022838","doi":"","title":"Research of Equipment Room Remote Monitoring System Based on Embedded Linux","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; The Internet; Embedded system; Web browser; Real-time computing; Video monitoring; Operating system","score_opus":0.04910108201302767,"score_gpt":0.2935829744162089,"score_spread":0.24448189240318122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378022838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011539607,0.00016270138,0.976377,0.000006480611,0.00007024317,0.0007794885,0.0000114644545,0.00033698796,0.010715998],"genre_scores_gemma":[0.90710133,0.000004308509,0.09236367,0.000004558482,0.00022210053,0.00021684394,0.0000044428043,0.00003254014,0.00005022224],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989545,0.000040299976,0.0003111617,0.00022303459,0.00020275632,0.00026828737],"domain_scores_gemma":[0.9992094,0.000074848474,0.000038493377,0.00047793426,0.00012307423,0.00007626788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020683787,0.00012639967,0.00018634193,0.00016995305,0.000090050984,0.000015769663,0.00027904203,0.00006858544,0.000005776553],"category_scores_gemma":[3.6162407e-7,0.00012855529,0.00006229324,0.00027955874,0.000020419908,0.000034822297,0.000031701322,0.00018188165,0.00010185224],"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":[0.0000871671,0.00038259226,0.00058362103,0.001604694,0.00021956448,0.000015088847,0.0039029012,0.20464729,0.39949152,0.006321021,0.001229127,0.3815154],"study_design_scores_gemma":[0.0014365688,0.0001707429,0.0019736206,0.0006862076,0.000034748206,0.000012714455,0.0011924207,0.60679996,0.33069867,0.00032152206,0.05606322,0.00060959195],"about_ca_topic_score_codex":0.000026070828,"about_ca_topic_score_gemma":9.687635e-7,"teacher_disagreement_score":0.8955617,"about_ca_system_score_codex":0.0001366308,"about_ca_system_score_gemma":0.000012772245,"threshold_uncertainty_score":0.5242332},"labels":[],"label_agreement":null},{"id":"W2378166618","doi":"","title":"The Application and Implementation of PID Algorithm In Automotive Chassis Dynamometer","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; PID controller; Chassis; Computer science; Dynamometer; Automotive engineering; Power (physics); Controller (irrigation); Algorithm; Control engineering; Engineering","score_opus":0.00214242836334466,"score_gpt":0.22989867865576194,"score_spread":0.22775625029241728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378166618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010060767,0.00034997368,0.9884706,0.00018950796,0.000007822498,0.00069238653,0.0000138953255,0.00006892405,0.00014609964],"genre_scores_gemma":[0.9704559,0.000071421666,0.029008906,0.000048045873,0.000054673277,0.00032200423,0.000018689538,0.000009513509,0.00001084808],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994724,0.000010695855,0.00022472355,0.00012109222,0.000052102998,0.00011903542],"domain_scores_gemma":[0.99972284,0.00003835487,0.000040804778,0.00013913352,0.000035949066,0.00002293576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064947155,0.00007810828,0.00010119651,0.000056555156,0.000058378246,0.000017989916,0.00008981784,0.00002766336,8.927774e-7],"category_scores_gemma":[1.1694654e-7,0.00006712116,0.000022240903,0.00017711222,0.000018532452,0.00005593683,0.000009466792,0.000054149634,0.0000037303596],"study_design_candidate":"design_other","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":[5.913144e-7,0.000010005956,0.000116489595,0.0000057779093,0.000008095753,5.2044474e-8,0.00019505483,0.00052955956,0.014559098,0.0007832825,0.000041500058,0.9837505],"study_design_scores_gemma":[0.0025903317,0.00014084275,0.26667252,0.000036403046,0.00005215133,0.000029080316,0.0012339249,0.4393148,0.03247095,0.012272923,0.24444534,0.0007407227],"about_ca_topic_score_codex":0.000017092514,"about_ca_topic_score_gemma":0.000033983815,"teacher_disagreement_score":0.98300976,"about_ca_system_score_codex":0.00003731151,"about_ca_system_score_gemma":0.0000039856086,"threshold_uncertainty_score":0.27371216},"labels":[],"label_agreement":null},{"id":"W2378431087","doi":"","title":"The Application of Bayes′prediction model in the prediction of temperature variety","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Bayes' theorem; Naive Bayes classifier; Bayes factor; Computer science; Statistics; Bayes classifier; Bayes error rate; Bayesian programming; Data mining; Artificial intelligence; Machine learning; Mathematics; Bayesian probability; Support vector machine","score_opus":0.0063482217963206,"score_gpt":0.18040735672128538,"score_spread":0.17405913492496478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378431087","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":[0.094452016,0.000977199,0.86728334,0.00021988092,0.00027163042,0.00090721576,0.00008118319,0.00022167816,0.035585828],"genre_scores_gemma":[0.99958366,0.00010875956,0.00010827473,0.000009742334,0.00004440758,0.000036782872,0.0000044180733,0.0000066098332,0.000097334414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999508,0.000018016179,0.00021426717,0.000060990653,0.00012631346,0.00007236306],"domain_scores_gemma":[0.9996813,0.000045568653,0.000028502265,0.00020603542,0.000029937197,0.000008640883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011220377,0.000054645225,0.00007590331,0.000018400277,0.000034729208,0.000005824818,0.000086932916,0.0000579424,0.0000030025806],"category_scores_gemma":[0.000007167645,0.000031029776,0.000029970186,0.0001331773,0.00001668897,0.00006702864,0.000003226695,0.00009641107,0.0000011686606],"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":[0.0000075170487,0.000023478133,0.0005272565,0.000028926032,0.000015918997,5.512475e-8,0.0008583766,0.9048333,0.08068478,0.0071585746,0.0008748416,0.0049869684],"study_design_scores_gemma":[0.00016874375,0.000012276046,0.0012002874,0.000004988287,0.000005733,0.0000013455632,0.0002462222,0.99611604,0.0011244466,0.00046359946,0.00063352374,0.000022795053],"about_ca_topic_score_codex":0.0000146148195,"about_ca_topic_score_gemma":0.00002124662,"teacher_disagreement_score":0.90513164,"about_ca_system_score_codex":0.000016934695,"about_ca_system_score_gemma":0.000001430338,"threshold_uncertainty_score":0.12653576},"labels":[],"label_agreement":null},{"id":"W2378659603","doi":"","title":"The Model Establishment and Stability Analysls of the Network Control System of ClassITime-varying Object","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Stability (learning theory); Lag; Object (grammar); Control theory (sociology); Class (philosophy); Lyapunov stability; Control (management); Stability theory; Lyapunov function; Control system; Time lag; Exponential stability; Artificial intelligence","score_opus":0.007064132673349782,"score_gpt":0.18348147368142956,"score_spread":0.17641734100807976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378659603","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":[0.057946328,0.0011331242,0.93925387,0.000036428042,0.000022066228,0.00083702937,0.000032606178,0.00006821127,0.00067031605],"genre_scores_gemma":[0.9940503,0.000026433545,0.005680202,0.000013266614,0.00006257003,0.00014197941,0.0000017196488,0.000011636886,0.000011853785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919605,0.000040640676,0.00036181294,0.00013433922,0.000105417355,0.00016174564],"domain_scores_gemma":[0.999249,0.00015665495,0.00009674107,0.00038983376,0.00007559381,0.000032189913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013731925,0.00010333161,0.00022234533,0.000012918157,0.00023466662,0.000012523824,0.00020961804,0.000036893252,3.6175686e-7],"category_scores_gemma":[5.401364e-7,0.000067530775,0.00008166416,0.00018142797,0.00009555623,0.000040317293,0.000036984926,0.00008606131,6.620063e-7],"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":[0.000010705363,0.00002344747,0.0032657043,0.0001462822,0.0001376707,1.6940459e-7,0.00038119053,0.95266,0.035563532,0.002108872,0.0003448176,0.0053575854],"study_design_scores_gemma":[0.0004341327,0.0000065523664,0.002578731,0.000031873446,0.000043781,0.000012587888,0.000067124696,0.9903779,0.003497849,0.0001644805,0.0026852754,0.000099710735],"about_ca_topic_score_codex":0.000013758454,"about_ca_topic_score_gemma":0.000010296561,"teacher_disagreement_score":0.936104,"about_ca_system_score_codex":0.00004780977,"about_ca_system_score_gemma":0.000017878978,"threshold_uncertainty_score":0.27538252},"labels":[],"label_agreement":null},{"id":"W2378887329","doi":"","title":"A New Transfer Standard Photoelectric Pyrometer","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Pyrometer; Radiance; Black-body radiation; Photoelectric effect; Optics; Wavelength; Physics; Temperature measurement; Materials science; Radiation; Thermodynamics","score_opus":0.0047826561690143925,"score_gpt":0.17864595129644567,"score_spread":0.1738632951274313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378887329","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":[0.0137963295,0.00054531265,0.84371126,0.0000074073027,0.0001841805,0.00011594818,0.0000018607444,0.00033340472,0.14130431],"genre_scores_gemma":[0.99429613,0.000020921576,0.0017019648,0.000039116112,0.0000357509,0.0000049337536,4.5201998e-7,0.000023970642,0.0038767494],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995021,0.000009390504,0.000111094785,0.000084060164,0.00009628223,0.00019705672],"domain_scores_gemma":[0.99978316,0.00001522315,0.000001960211,0.00011048758,0.0000102555405,0.00007890621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033026037,0.000092728624,0.00013085034,0.000047722773,0.00001603035,0.000015251318,0.000039094863,0.000036232475,0.00074872957],"category_scores_gemma":[0.0000051094376,0.00007911183,0.000049411745,0.00016100021,0.0000026605628,0.000058932867,5.9696026e-7,0.00006463582,0.00007482006],"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":[0.00012793906,0.00003664336,0.0006087725,0.00014541631,0.00049331365,0.00006478739,0.0010739757,0.0366959,0.65776366,0.06584027,0.043037973,0.19411133],"study_design_scores_gemma":[0.0028114433,0.00017702248,0.00011290136,0.000013522883,0.00003576631,0.000045889807,0.00007957211,0.0056921663,0.26377526,0.0028303445,0.72376573,0.0006603961],"about_ca_topic_score_codex":0.000007717576,"about_ca_topic_score_gemma":0.000013865293,"teacher_disagreement_score":0.9804998,"about_ca_system_score_codex":0.000031597192,"about_ca_system_score_gemma":0.000010087248,"threshold_uncertainty_score":0.8198064},"labels":[],"label_agreement":null},{"id":"W2379064844","doi":"","title":"Design of Trouble Hunting Program Used for MCU(Micro-programmed Control Unit)Experimental Equipment","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcontroller; Computer science; Control unit; Microcode; Computer hardware; Unit (ring theory); Embedded system; Visual Basic; Control (management); Operating system; Software; Artificial intelligence","score_opus":0.019454235103586643,"score_gpt":0.279865509679925,"score_spread":0.2604112745763384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379064844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010164395,0.00035988874,0.98388344,0.00001651401,0.000039167404,0.004892013,0.000016614134,0.0004824304,0.00014552784],"genre_scores_gemma":[0.6560532,0.0000015184437,0.34194922,0.000026037267,0.00013931547,0.0017371285,0.000030801122,0.000040727205,0.000022041355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987121,0.0000145335935,0.00048796524,0.0002383001,0.000104908126,0.00044218122],"domain_scores_gemma":[0.9993433,0.00014476458,0.00009396121,0.00024036325,0.00008913303,0.00008852828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023307835,0.0001986848,0.0002894987,0.000092130096,0.00010761905,0.000040997616,0.00022417224,0.000080351405,0.0000033086096],"category_scores_gemma":[4.0270663e-7,0.00021130196,0.00010796752,0.00019538398,0.000038515325,0.00007127862,0.000019866879,0.0000848384,0.000009426378],"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":[0.000030092888,0.00021945445,0.00011926057,0.00006772476,0.000097861295,4.2488543e-7,0.00024381767,0.0144533245,0.87787354,0.0005199643,0.00007295969,0.106301576],"study_design_scores_gemma":[0.0050584315,0.00025448969,0.000179501,0.000037080008,0.00006360039,0.0000126803525,0.00025739075,0.08290544,0.7282595,0.00018554686,0.18227188,0.00051442167],"about_ca_topic_score_codex":0.000007515067,"about_ca_topic_score_gemma":0.0000036041401,"teacher_disagreement_score":0.6458888,"about_ca_system_score_codex":0.00007358468,"about_ca_system_score_gemma":0.000012530428,"threshold_uncertainty_score":0.86166435},"labels":[],"label_agreement":null},{"id":"W2379095491","doi":"","title":"On the Temporal and Spatial Distribution Characteristics and Hot Topics in Strength Training Study Abroad","year":2012,"lang":"en","type":"article","venue":"Shanghai Tiyu Xueyuan xuebao","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Strength training; Muscle strength; Control (management); Resistance training; Training (meteorology); Distribution (mathematics); Computer science; Artificial intelligence; Geography; Physical medicine and rehabilitation; Mathematics; Medicine; Physical therapy","score_opus":0.016882145140243852,"score_gpt":0.24096611516469776,"score_spread":0.2240839700244539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379095491","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":[0.99711275,0.00019890997,0.0012160193,0.00006182203,0.00032932792,0.00035316093,0.000056806133,0.00007503656,0.0005961532],"genre_scores_gemma":[0.99940336,0.000014999554,0.000016232843,0.000026704052,0.00037372496,0.000027172053,0.000029208513,0.00002039676,0.00008820593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911284,0.000051039737,0.00021899179,0.0001428508,0.00016052238,0.00031375414],"domain_scores_gemma":[0.99961555,0.000087651555,0.00003784947,0.00015905591,0.000016188927,0.00008370484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025858034,0.00016980096,0.00022151793,0.00003831393,0.000082207465,0.000050654897,0.00006403306,0.00006110694,0.000014591376],"category_scores_gemma":[0.00006902143,0.00013174443,0.000020564301,0.00008367282,0.000029993704,0.00012588086,0.000023419356,0.00020510553,0.0000048928264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032454033,0.0007006553,0.6408931,0.00024695136,0.00025612756,0.000072029776,0.041423287,0.0004032513,0.002316216,0.015938753,0.0011360017,0.29628906],"study_design_scores_gemma":[0.0016905237,0.00029176494,0.9588676,0.00009648652,0.000038224993,0.000017340619,0.00661725,0.024623485,0.00011520194,0.0003372566,0.0067770774,0.0005278036],"about_ca_topic_score_codex":0.00018327018,"about_ca_topic_score_gemma":0.00036975712,"teacher_disagreement_score":0.31797445,"about_ca_system_score_codex":0.00006174143,"about_ca_system_score_gemma":0.0000062565646,"threshold_uncertainty_score":0.5372382},"labels":[],"label_agreement":null},{"id":"W2379206390","doi":"","title":"Development of EGG Measuring and Analyzing System Based on Virtual Instrument Technology","year":2004,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Virtual instrument; Software; Software technology; Operating system; Embedded system; Computer hardware","score_opus":0.007138119972909124,"score_gpt":0.1863787654166313,"score_spread":0.17924064544372217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379206390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1334708,0.00008831688,0.8656413,0.000022649234,0.000012011896,0.000292766,0.0000028874847,0.00023681684,0.00023244057],"genre_scores_gemma":[0.8479294,0.000001216207,0.15188749,0.0000070903557,0.000021660027,0.00013535,0.0000032154112,0.00001278216,0.0000017840205],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999398,0.0000037851908,0.00024772182,0.00015318512,0.00007001119,0.00012730762],"domain_scores_gemma":[0.99973303,0.000010552335,0.000036071382,0.00015906063,0.000026171336,0.00003509362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046111498,0.00010584692,0.00015280923,0.00016965573,0.00007695557,0.000010651274,0.000099043245,0.000049691313,3.4622275e-7],"category_scores_gemma":[1.5010876e-7,0.000109395456,0.000021150585,0.00018636916,0.000018201032,0.000023911303,0.00002043175,0.00006996315,0.000009118474],"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":[0.0000050674694,0.00005625812,0.0002917004,0.0002335455,0.00007251639,0.0000011595562,0.00036877702,0.35030493,0.24665764,0.010884036,0.0000031368481,0.3911212],"study_design_scores_gemma":[0.0052896296,0.00013344128,0.003296227,0.0011534696,0.000076358876,0.000064369175,0.0012159992,0.15702648,0.72421896,0.00041132674,0.10582996,0.0012837508],"about_ca_topic_score_codex":0.000001587566,"about_ca_topic_score_gemma":0.0000033895376,"teacher_disagreement_score":0.7144586,"about_ca_system_score_codex":0.0001446051,"about_ca_system_score_gemma":0.000016741205,"threshold_uncertainty_score":0.44610173},"labels":[],"label_agreement":null},{"id":"W2379980066","doi":"","title":"Use and Operate Matlab with VB6.0","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Computer science; MATLAB; Computer graphics (images); Human–computer interaction; Programming language","score_opus":0.014588682543507165,"score_gpt":0.15705769428048358,"score_spread":0.1424690117369764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379980066","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":[0.94221264,0.00060245977,0.015553493,0.0000581912,0.00007359187,0.00012950748,0.0000025960476,0.00044014805,0.040927347],"genre_scores_gemma":[0.99416393,0.000049295817,0.0006503984,0.000041306586,0.00002234271,0.0000030795675,2.8930995e-7,0.000012535117,0.005056805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976856,0.0000030799586,0.000047879206,0.00005624223,0.00003531512,0.00008894926],"domain_scores_gemma":[0.9998685,0.000010324431,0.0000028441673,0.00007570751,0.000008812074,0.000033814347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000007805658,0.000056315417,0.00006693689,0.00001197277,0.000016617218,0.000038577477,0.000017509843,0.000015180744,0.00009266646],"category_scores_gemma":[0.0000015428044,0.00003894211,0.000005279543,0.0000315255,0.0000069689568,0.00013910756,0.0000027780568,0.000030330266,0.000048719947],"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":[0.00011600169,0.00014256782,0.042728335,0.00052235665,0.0008196669,0.00056088186,0.0055850223,0.513855,0.24740997,0.029886795,0.038876563,0.11949687],"study_design_scores_gemma":[0.0016580824,0.000106918415,0.0052240347,0.000044449964,0.000022930171,0.00015714066,0.0003377964,0.92005384,0.0051744715,0.000036628215,0.06656365,0.0006200327],"about_ca_topic_score_codex":0.000013868704,"about_ca_topic_score_gemma":0.000020140928,"teacher_disagreement_score":0.4061989,"about_ca_system_score_codex":0.000005156471,"about_ca_system_score_gemma":2.356818e-7,"threshold_uncertainty_score":0.15880132},"labels":[],"label_agreement":null},{"id":"W2380809936","doi":"","title":"The General Introduction of the coming Generation Operating System","year":2001,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Computer science; Core (optical fiber); File system; Operating system; Systems engineering; Engineering; Telecommunications","score_opus":0.008034987216338099,"score_gpt":0.19731266393211014,"score_spread":0.18927767671577203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380809936","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":[0.8748784,0.0005452004,0.10921282,0.00042453094,0.0025727814,0.00032502363,9.755771e-7,0.00021854336,0.011821741],"genre_scores_gemma":[0.9971175,0.000012587184,0.00024173627,0.000009283593,0.0015233692,0.000009218839,0.0000011664175,0.000010101262,0.0010750162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951273,0.00003639212,0.000192994,0.000063477935,0.00009340649,0.00010102611],"domain_scores_gemma":[0.99971676,0.000016044823,0.000026883828,0.00019297274,0.00003576954,0.000011594472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012569282,0.000059359852,0.00007522772,0.0000090337835,0.00019392998,0.00002932925,0.00007992735,0.000022712391,0.0000037901862],"category_scores_gemma":[0.000012990615,0.000031348598,0.000033158,0.00008096809,0.000012222062,0.000061916784,0.0000090681,0.00005582241,0.0000032068565],"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":[0.0000015948002,0.00000156375,0.00030302058,0.000013172401,0.000018042374,2.3615806e-7,0.000091287766,0.5627322,0.41719073,0.01360456,0.001002483,0.005041131],"study_design_scores_gemma":[0.00012506543,0.0000048528946,0.00019956677,0.0000061339565,0.0000060875745,0.000024003828,0.00042039613,0.96589047,0.025804184,0.000007865623,0.007456211,0.000055189354],"about_ca_topic_score_codex":0.000026967351,"about_ca_topic_score_gemma":0.00005890961,"teacher_disagreement_score":0.40315825,"about_ca_system_score_codex":0.000048695518,"about_ca_system_score_gemma":0.000002966895,"threshold_uncertainty_score":0.14915723},"labels":[],"label_agreement":null},{"id":"W2381610717","doi":"","title":"Research of Spring-Load Realtime Testing System Based on ARM and Windows Platforms","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Spring (device); Microprocessor; Load testing; Sorting; Embedded system; Reliability (semiconductor); Software; Computer hardware; Operating system; Software engineering; Structural engineering; Engineering","score_opus":0.022835513899800496,"score_gpt":0.26711941668742095,"score_spread":0.24428390278762047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381610717","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":[0.09408812,0.00040473568,0.8822077,0.00007413505,0.00002515773,0.0017663629,0.000019270592,0.00069283094,0.0207217],"genre_scores_gemma":[0.96452457,0.0000022022318,0.035200834,0.000025091544,0.00011991064,0.000088684574,0.0000024205308,0.000016662845,0.000019641411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912053,0.000010734298,0.00025506533,0.00020246106,0.00017803456,0.00023315023],"domain_scores_gemma":[0.9993175,0.00016666774,0.000036004567,0.00028756435,0.000120673125,0.000071586044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022079337,0.00011344568,0.00018001185,0.00012010199,0.00010682124,0.000025320298,0.00014796628,0.000056553512,8.017051e-7],"category_scores_gemma":[0.0000011793966,0.000108266526,0.00002851226,0.00029744933,0.000025383672,0.00004413289,0.000014796647,0.00017369879,0.000023579521],"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":[0.000034925986,0.00021112897,0.0010189926,0.0006805769,0.00004361642,0.000006647358,0.00033708804,0.29572877,0.24799,0.013683918,0.00043168635,0.43983263],"study_design_scores_gemma":[0.0012093235,0.00022843947,0.012347749,0.00037847183,0.000014675996,0.000025423167,0.000108087705,0.9450738,0.011800951,0.0006146945,0.027828963,0.00036942973],"about_ca_topic_score_codex":0.0000390503,"about_ca_topic_score_gemma":0.0000038878893,"teacher_disagreement_score":0.87043643,"about_ca_system_score_codex":0.00011457573,"about_ca_system_score_gemma":0.000018239103,"threshold_uncertainty_score":0.44149807},"labels":[],"label_agreement":null},{"id":"W2381723033","doi":"","title":"Simulating Research on Central Air Conditioner Controller Based on Fuzzy Control Technology","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Fuzzy logic; Controller (irrigation); Realization (probability); Control theory (sociology); Fuzzy control system; Air conditioning; PID controller; Variable (mathematics); Control engineering; Control (management); Artificial intelligence; Temperature control; Mathematics; Engineering","score_opus":0.02035627142861539,"score_gpt":0.2746503744474046,"score_spread":0.2542941030187892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381723033","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":[0.021792892,0.0001238147,0.9670117,0.0007521917,0.000055136912,0.0020089473,0.00008185718,0.0010120744,0.0071613668],"genre_scores_gemma":[0.99379194,0.000003614418,0.0043079774,0.00055496424,0.0003525823,0.0007856938,0.000029506862,0.000049016893,0.00012470024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984728,0.000058175865,0.00031915403,0.00035407732,0.00024365884,0.00055214216],"domain_scores_gemma":[0.9989516,0.0003771871,0.000039220493,0.00037785186,0.00014632804,0.00010778923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110569585,0.00020730817,0.00028728278,0.00037742866,0.00042159884,0.000019483914,0.00025171795,0.00015506992,0.000014137864],"category_scores_gemma":[0.0000025713687,0.00020369221,0.000089462534,0.0004749982,0.00011783541,0.000047525322,0.00001483235,0.00043360458,0.00034946273],"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":[0.000033861925,0.000115361516,0.00029033545,0.000016425496,0.00004310324,0.000007942498,0.00005156,0.9615314,0.021674925,0.005306062,0.0023875327,0.00854149],"study_design_scores_gemma":[0.0062257377,0.0001758906,0.0029612728,0.000059948525,0.000016461603,0.000028346216,0.00005769364,0.71362424,0.0046418086,0.0017945857,0.269887,0.0005269845],"about_ca_topic_score_codex":0.000003948663,"about_ca_topic_score_gemma":0.0000017394507,"teacher_disagreement_score":0.97199905,"about_ca_system_score_codex":0.00015418176,"about_ca_system_score_gemma":0.000021781882,"threshold_uncertainty_score":0.8306327},"labels":[],"label_agreement":null},{"id":"W2382389004","doi":"","title":"All-Position Automatic Welding Systems Based on C8051F020","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Welding; Position (finance); SIGNAL (programming language); Chip; Control system; Automatic control; Position sensor; Drop (telecommunication); Computer hardware; Real-time computing; Telecommunications; Electrical engineering; Mechanical engineering; Control engineering","score_opus":0.0057757640069550946,"score_gpt":0.2127299920251208,"score_spread":0.2069542280181657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382389004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048365765,0.00015698519,0.98941416,0.0002289945,0.000052322917,0.0007748749,0.000010678792,0.0010103818,0.0035150463],"genre_scores_gemma":[0.9823374,0.00000254811,0.016540315,0.0005134555,0.00027799443,0.00023331214,0.00003880707,0.000023810544,0.000032340366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992238,0.000017347153,0.00024614052,0.00019333362,0.00010859887,0.00021077861],"domain_scores_gemma":[0.9995487,0.000042621934,0.00003546083,0.00027565166,0.00002666772,0.0000709234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048618745,0.0001567889,0.0001732656,0.00009547722,0.000087920074,0.000072700575,0.0001529714,0.00006225088,0.000005494931],"category_scores_gemma":[1.7874842e-7,0.00016212564,0.00005959431,0.00015442669,0.000007255165,0.000046728157,0.0000046878718,0.00010441915,0.0001806998],"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":[0.000002424272,0.00006664984,0.000013609421,0.00007249813,0.000025640242,0.0000024806052,0.000072015915,0.8812348,0.04561419,0.002115955,0.0026120143,0.06816769],"study_design_scores_gemma":[0.00030622908,0.000027743909,0.00041932878,0.000051795116,0.000014983486,0.000011319937,0.000009406707,0.9150744,0.001471888,0.0001538383,0.082260706,0.0001983338],"about_ca_topic_score_codex":0.0000028129036,"about_ca_topic_score_gemma":3.3611087e-7,"teacher_disagreement_score":0.97750086,"about_ca_system_score_codex":0.00010186651,"about_ca_system_score_gemma":0.0000052184428,"threshold_uncertainty_score":0.6611292},"labels":[],"label_agreement":null},{"id":"W2382682600","doi":"","title":"Design and Simulation of Fuzzy Controller of Central Air-Conditioning Based on MATLAB","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; MATLAB; Controller (irrigation); Fuzzy logic; Fuzzy control system; Software; Control engineering; Air conditioning; Control system; Central air conditioning; Control (management); Control theory (sociology); Artificial intelligence; Operating system","score_opus":0.006019089336033288,"score_gpt":0.21289163838815067,"score_spread":0.20687254905211738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382682600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007138852,0.00008038679,0.99182606,0.000034163768,0.0000068637487,0.00054166495,0.0000108040285,0.000071781105,0.00028941972],"genre_scores_gemma":[0.95037967,0.0000019770325,0.04945406,0.00006782911,0.000038966184,0.000029836934,0.000012236229,0.000008748323,0.0000066690295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994844,0.000015715488,0.00022341566,0.00010549694,0.0000616021,0.00010932219],"domain_scores_gemma":[0.9996592,0.00010759955,0.000053698936,0.0001065693,0.000041228144,0.000031731666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038312453,0.00008648083,0.00016433191,0.000065117325,0.000033033786,0.0000066035054,0.00005490321,0.000038654056,0.000002263587],"category_scores_gemma":[3.753262e-7,0.000088910085,0.00003326667,0.00008965686,0.000015339334,0.000039818184,0.000002727289,0.000044944205,0.0000023772873],"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":[0.000011847555,0.000025155154,0.000020631616,0.000017460698,0.00000935934,8.354342e-8,0.000052735188,0.9204843,0.05708116,0.00044787425,0.000035464167,0.021813909],"study_design_scores_gemma":[0.0008316812,0.000043144566,0.0030137268,0.000025313151,0.000013173035,8.264438e-7,0.0000061217934,0.9836691,0.009977618,0.0009211135,0.0014093114,0.00008884947],"about_ca_topic_score_codex":0.0000012722168,"about_ca_topic_score_gemma":1.2466064e-7,"teacher_disagreement_score":0.9432408,"about_ca_system_score_codex":0.000018524197,"about_ca_system_score_gemma":0.000004639674,"threshold_uncertainty_score":0.3625648},"labels":[],"label_agreement":null},{"id":"W2383262945","doi":"","title":"Comprehensive Test System Based on Virtual Instrument for UAV","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Adaptability; Virtual instrument; Test (biology); Simulation; Stability (learning theory); Embedded system; Real-time computing; Data acquisition; Operating system","score_opus":0.005374582041351568,"score_gpt":0.1891967849762163,"score_spread":0.18382220293486473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383262945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032261359,0.000056391375,0.9928855,0.000046530833,0.000049306414,0.0012709124,0.0001274036,0.00054129877,0.0017965754],"genre_scores_gemma":[0.9563583,5.610008e-7,0.041640207,0.00009492531,0.0004219358,0.001242794,0.00011120444,0.000038617323,0.000091466536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992762,0.000006720693,0.00023656237,0.00020535757,0.0000773116,0.00019785327],"domain_scores_gemma":[0.9994761,0.00015635189,0.000032443397,0.00023678376,0.000057127058,0.000041233125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000019440537,0.0001564125,0.00016890878,0.00006452515,0.00010951033,0.000035802517,0.0001349221,0.000051268034,0.000001501922],"category_scores_gemma":[1.2210756e-7,0.00016060658,0.00007477292,0.00010432453,0.000014785511,0.000029062228,0.000009426213,0.000061701554,0.000077612676],"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":[0.000012013726,0.00019575795,0.00012967858,0.00029481712,0.00003315001,0.0000012593979,0.000032052838,0.8210485,0.104591936,0.014164395,0.0072821095,0.052214317],"study_design_scores_gemma":[0.0008203118,0.000058511403,0.00033453485,0.000030546835,0.000011499279,0.0000049331,0.00003176908,0.44604433,0.004813345,0.000063927124,0.5475842,0.00020209326],"about_ca_topic_score_codex":0.000008633348,"about_ca_topic_score_gemma":0.0000027217607,"teacher_disagreement_score":0.95313215,"about_ca_system_score_codex":0.00012152926,"about_ca_system_score_gemma":0.0000071620702,"threshold_uncertainty_score":0.65493464},"labels":[],"label_agreement":null},{"id":"W2383645935","doi":"","title":"Design of Infrared Remote Control Driver Based on Embedded Linux","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Linux kernel; Interrupt; Operating system; Linux Unified Key Setup; Embedded system; GNU/Linux; Remote control; Open source; Code (set theory); Source code; Computer hardware; Software; Microcontroller; Set (abstract data type)","score_opus":0.009940778112485203,"score_gpt":0.20130027655802205,"score_spread":0.19135949844553685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2383645935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012085614,0.000085242675,0.99645925,0.00001671566,0.000020128247,0.00081298774,0.000017657141,0.00025459682,0.0011248754],"genre_scores_gemma":[0.791511,0.000012009664,0.20787401,0.00019406222,0.00012460574,0.00010221419,0.000014409431,0.000035223296,0.00013247311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925894,0.000026985936,0.00026894038,0.00017579742,0.0001011786,0.0001681856],"domain_scores_gemma":[0.9993637,0.000120479854,0.000048824593,0.00034415603,0.000066162254,0.000056679364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004256909,0.00014262159,0.00022200929,0.00008746363,0.000070944,0.000007169084,0.00017627153,0.000067660876,0.000010598182],"category_scores_gemma":[5.3764273e-7,0.00014651446,0.00006786359,0.00016311163,0.000034925997,0.000037746646,0.000007152548,0.0000993799,0.00007617397],"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":[0.000018929612,0.000042962605,0.000031576743,0.00002458215,0.000035907935,0.0000025884324,0.00021177025,0.8826175,0.100298315,0.00006741478,0.001608005,0.015040479],"study_design_scores_gemma":[0.0014138728,0.00003693468,0.00034230007,0.000020005373,0.000014589953,0.000009939471,0.000007002018,0.94838446,0.010059314,0.00015026092,0.039363004,0.00019830313],"about_ca_topic_score_codex":0.0000024275594,"about_ca_topic_score_gemma":2.166063e-7,"teacher_disagreement_score":0.7903024,"about_ca_system_score_codex":0.00003567456,"about_ca_system_score_gemma":0.00001634103,"threshold_uncertainty_score":0.5974687},"labels":[],"label_agreement":null},{"id":"W2385157189","doi":"","title":"A Software for An Automobile Ignition Coil Measuring System Base on VB","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Software; Visual Basic; Ignition system; Electromagnetic coil; Base (topology); Function (biology); Embedded system; Software engineering; Operating system; Electrical engineering","score_opus":0.015793121556953726,"score_gpt":0.21990256907472686,"score_spread":0.20410944751777313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385157189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064010685,0.000119017015,0.9901494,0.000023414308,0.00003422145,0.0012258583,0.00009563782,0.0013737646,0.00057765323],"genre_scores_gemma":[0.8535848,0.0000020255418,0.14267792,0.00009401244,0.00082911126,0.0025745155,0.00011708725,0.000058872705,0.00006162954],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99921244,0.000013285893,0.0002287867,0.00024614672,0.00008253634,0.00021679503],"domain_scores_gemma":[0.9994566,0.00005239058,0.000033395798,0.0002843204,0.00008626281,0.000087055785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006950134,0.00015231126,0.00015760947,0.00006937191,0.00015433562,0.00004782218,0.00014921145,0.00006169666,0.0000027877304],"category_scores_gemma":[4.4391078e-7,0.00016408363,0.00006188208,0.00011194526,0.00000927579,0.00012270747,0.0000095747155,0.00007758843,0.000121971425],"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":[0.000015497022,0.0001462049,0.000016310301,0.00040471932,0.000059456714,7.507243e-7,0.0003447833,0.32973886,0.0743014,0.0031165655,0.0025889454,0.5892665],"study_design_scores_gemma":[0.0012691641,0.00007960655,0.00010467287,0.00011723566,0.000039768394,0.00003712927,0.00012009431,0.40413287,0.024636615,0.00014099367,0.56880987,0.0005120217],"about_ca_topic_score_codex":0.0000034674993,"about_ca_topic_score_gemma":0.000011731115,"teacher_disagreement_score":0.8474715,"about_ca_system_score_codex":0.00016730333,"about_ca_system_score_gemma":0.000008727582,"threshold_uncertainty_score":0.66911364},"labels":[],"label_agreement":null},{"id":"W2385300876","doi":"","title":"Design of Portable Equipment for Microclimate Information Acquisition System Based On Microcomputer","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microclimate; Computer science; Microcomputer; Data acquisition; Software; Real-time computing; Humidity; Light intensity; Simulation; Environmental science; Meteorology; Operating system; Telecommunications","score_opus":0.0048654187208377634,"score_gpt":0.19699741722850636,"score_spread":0.1921319985076686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385300876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018591819,0.0000217048,0.9949974,0.000026908252,0.00009035742,0.0021255268,0.00009581713,0.00033582113,0.00044731842],"genre_scores_gemma":[0.52810115,0.0000016945655,0.47007507,0.0001597885,0.00018441942,0.0012140588,0.00021557506,0.00003407756,0.000014156435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989661,0.000012234618,0.0004881246,0.00017272234,0.00010738028,0.00025343875],"domain_scores_gemma":[0.9992605,0.00009153189,0.0001265223,0.00031254475,0.00014636575,0.000062555155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014897368,0.00019220365,0.00023626047,0.00015939056,0.00010477287,0.000055028155,0.00021255725,0.0001050846,0.0000071761656],"category_scores_gemma":[1.7116434e-7,0.0001974029,0.00008744281,0.00013861113,0.000018608054,0.00018410593,0.00001647553,0.00011054052,0.000061207174],"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":[0.000030908424,0.000055340028,0.000016723485,0.00052217836,0.000034371536,2.0161139e-7,0.00011218504,0.38868752,0.57925904,0.001448149,0.0016088211,0.028224543],"study_design_scores_gemma":[0.0011356574,0.00006103609,0.00008824472,0.00006755133,0.000028815375,0.000011299778,0.000026799751,0.72796726,0.104312845,0.00008149435,0.1659294,0.00028960066],"about_ca_topic_score_codex":0.0000030464937,"about_ca_topic_score_gemma":6.142673e-7,"teacher_disagreement_score":0.52624196,"about_ca_system_score_codex":0.0000656546,"about_ca_system_score_gemma":0.000018452978,"threshold_uncertainty_score":0.80498564},"labels":[],"label_agreement":null},{"id":"W2385466211","doi":"","title":"Study and Application of Stainless Steel Lining Technique","year":2000,"lang":"en","type":"article","venue":"China Well and Rock Salt","topic":"Advanced Sensor and Control Systems","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":"Prairie Improvement Network","funders":"","keywords":"Metallurgy; Forensic engineering; Engineering; Mining engineering; Construction engineering; Materials science","score_opus":0.0033375217639419353,"score_gpt":0.2054880583671804,"score_spread":0.20215053660323845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385466211","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":[0.94472754,0.0009988833,0.048506085,0.000006492973,0.000023400662,0.0004869536,0.0000031622897,0.0001195162,0.005127979],"genre_scores_gemma":[0.99945843,0.00014065244,0.000083998144,0.0000037727918,0.000039389477,0.000035424546,0.0000014844967,0.000013416362,0.00022342215],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996047,0.00001214999,0.00013951359,0.00010665158,0.000050435585,0.000086534295],"domain_scores_gemma":[0.99981827,0.000014078886,0.000018314939,0.000107030086,0.00000833293,0.000033953595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005440463,0.00008082881,0.00014603593,0.000025434794,0.000052359443,0.0000065669888,0.00003648941,0.000036826346,0.000005369296],"category_scores_gemma":[0.0000013685031,0.000069682676,0.000011526278,0.000051227573,0.0000059093036,0.00004279997,0.000009207207,0.00006945802,0.000002669367],"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":[0.00020805045,0.00044141652,0.067648135,0.0013274626,0.00023580235,0.000024899522,0.014413758,0.1517034,0.16814356,0.0009800077,0.00017872188,0.5946948],"study_design_scores_gemma":[0.0071041207,0.0013673627,0.2510878,0.00034801505,0.00020777165,0.00014160696,0.0077604596,0.6608675,0.025866913,0.0036728545,0.0396673,0.00190828],"about_ca_topic_score_codex":0.000019151503,"about_ca_topic_score_gemma":0.0000066434213,"teacher_disagreement_score":0.5927865,"about_ca_system_score_codex":0.0000057691077,"about_ca_system_score_gemma":0.0000017025401,"threshold_uncertainty_score":0.2841577},"labels":[],"label_agreement":null},{"id":"W2385852617","doi":"","title":"Discussion on Compensation Mode for Power Distribution Network","year":2001,"lang":"en","type":"article","venue":"Dianli zidonghua shebei","topic":"Advanced Sensor and Control Systems","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":"Western University","funders":"","keywords":"Arc suppression; Compensation (psychology); Ground; Mode (computer interface); Electromagnetic coil; Power (physics); Point (geometry); Arc (geometry); Control theory (sociology); Electrical engineering; Computer science; Electric power system; Electronic engineering; Engineering; Mathematics; Physics; Psychology; Mechanical engineering; Control (management); Artificial intelligence","score_opus":0.008302169873546324,"score_gpt":0.23110404240179946,"score_spread":0.22280187252825315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2385852617","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":[0.14276147,0.0003922753,0.84210503,0.00063189596,0.0026516642,0.001158787,0.00023973107,0.000858629,0.009200496],"genre_scores_gemma":[0.99822444,0.000031601285,0.00018097002,0.00008157679,0.0005130288,0.000072142124,0.0004338819,0.000042147,0.00042020294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990234,0.00002140144,0.00023248538,0.00019879031,0.00015045288,0.0003734881],"domain_scores_gemma":[0.9995206,0.00006622227,0.00003643332,0.00024467235,0.000038225582,0.000093861476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080515754,0.00018227886,0.0002068642,0.000028738805,0.00012926095,0.00003554983,0.00009227865,0.0001002335,0.000026451145],"category_scores_gemma":[0.000024092518,0.0001371,0.000103514736,0.00013798341,0.000015098453,0.00013868972,0.000008161493,0.000106224456,0.00007214438],"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":[0.0002425894,0.00007003218,0.0022418625,0.00004475657,0.000066760214,0.000009524219,0.0002319361,0.9241375,0.0030939563,0.01129713,0.023311766,0.035252232],"study_design_scores_gemma":[0.0022797212,0.00023548497,0.015722616,0.00017201802,0.000043052565,0.0000114807335,0.00015486349,0.608944,0.0005874315,0.005394987,0.3656727,0.0007816596],"about_ca_topic_score_codex":0.000008527905,"about_ca_topic_score_gemma":0.00003007495,"teacher_disagreement_score":0.85546297,"about_ca_system_score_codex":0.00012024235,"about_ca_system_score_gemma":0.0000048818065,"threshold_uncertainty_score":0.55907756},"labels":[],"label_agreement":null},{"id":"W2386516624","doi":"","title":"Reseach and Analysis for Some New Technics of the Refrigerated Van","year":2003,"lang":"en","type":"article","venue":"Special Purpose Vehicle","topic":"Advanced Sensor and Control Systems","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":"Discovery Air (Canada)","funders":"","keywords":"Engineering; Forensic engineering; Engineering drawing; Mechanical engineering","score_opus":0.01125851262203114,"score_gpt":0.22376365177855867,"score_spread":0.21250513915652752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2386516624","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":[0.930365,0.0032934598,0.033486467,0.0002643855,0.0010988419,0.0019131528,0.00011252231,0.0003371266,0.029129038],"genre_scores_gemma":[0.99801993,0.000027348922,0.00032696757,0.000015605136,0.00037579084,0.000009608676,0.0000023910213,0.000018072707,0.0012043081],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.999368,0.00002482626,0.00019443882,0.00012011362,0.000118726864,0.00017389037],"domain_scores_gemma":[0.9995982,0.000038064027,0.000034561148,0.00023724658,0.00003525239,0.000056665034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112830865,0.000089566216,0.00021011328,0.000070894435,0.000066845765,0.00001770567,0.00009550002,0.00005324608,0.000023393568],"category_scores_gemma":[0.000056346234,0.000069487076,0.00009890756,0.00049809256,0.00002749447,0.00007522571,0.000010219412,0.000082477934,0.0000026423],"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":[0.00022554518,0.00011974554,0.0130343065,0.00019768432,0.0015491717,0.000008588137,0.0009980666,0.08392124,0.6686848,0.15230681,0.009115231,0.069838844],"study_design_scores_gemma":[0.0047406517,0.00025076582,0.01832391,0.00005938763,0.000833741,0.000010080335,0.00051678147,0.0508164,0.2959053,0.071840085,0.55569136,0.001011569],"about_ca_topic_score_codex":0.000013098886,"about_ca_topic_score_gemma":0.000070824215,"teacher_disagreement_score":0.5465761,"about_ca_system_score_codex":0.00003014214,"about_ca_system_score_gemma":0.000016755966,"threshold_uncertainty_score":0.2833601},"labels":[],"label_agreement":null},{"id":"W2387275848","doi":"","title":"Design and Implementation of Single-chip Intelligent Automobile Based on MC9S12DG128","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Control unit; Photoelectric sensor; Computer hardware; Hall effect sensor; Automotive industry; Pulse-width modulation; Chip; Servo control; Servomotor; Servo; DC motor; Electronic circuit; Power (physics); Electrical engineering; Telecommunications; Artificial intelligence; Engineering; Voltage","score_opus":0.016231743227833485,"score_gpt":0.234615399947827,"score_spread":0.21838365671999352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387275848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022529682,0.00010636694,0.9763272,0.000019387635,0.00001236712,0.00069997204,0.000008402313,0.00013692469,0.00015971545],"genre_scores_gemma":[0.90975964,0.000012145929,0.089863464,0.000049800186,0.000043015993,0.00022868544,0.000014785881,0.000017384114,0.000011096824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947613,0.000015418249,0.0002017879,0.00013261472,0.00006344283,0.00011060786],"domain_scores_gemma":[0.9996838,0.00006977776,0.00003353742,0.000146918,0.000027937622,0.00003805432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003744434,0.000095418814,0.00011560371,0.00006828356,0.00005882679,0.00000768062,0.000069380454,0.000028134678,0.000010639],"category_scores_gemma":[1.1229886e-7,0.00009879301,0.000027232632,0.00010079469,0.000022961132,0.00003143152,0.0000080937925,0.0000436746,0.0000137469015],"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":[0.00000990295,0.00012256243,0.00044595473,0.00008511618,0.000039714712,0.0000014362314,0.00087595783,0.38042796,0.37363175,0.00038059813,0.0009111015,0.24306795],"study_design_scores_gemma":[0.0012753129,0.00023590447,0.0035123974,0.000037961705,0.000030723568,0.0000358139,0.000141799,0.4018324,0.49340186,0.00030775464,0.098724,0.00046404972],"about_ca_topic_score_codex":0.0000062710524,"about_ca_topic_score_gemma":0.0000015469122,"teacher_disagreement_score":0.8872299,"about_ca_system_score_codex":0.000034992958,"about_ca_system_score_gemma":0.00000818444,"threshold_uncertainty_score":0.4028662},"labels":[],"label_agreement":null},{"id":"W2387454024","doi":"","title":"A Quantum Particle Swarm Optimization Algorithm for Solving Nonlinear Equations","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Particle swarm optimization; Computer science; Algorithm; Convergence (economics); Rate of convergence; Quantum algorithm; Nonlinear system; Quantum algorithm for linear systems of equations; Quantum; Sensitivity (control systems); Local convergence; Population; Mathematical optimization; Quantum phase estimation algorithm; Mathematics; Quantum dynamics; Iterative method; Quantum process; Physics; Quantum error correction; Quantum mechanics; Key (lock)","score_opus":0.01850857361948776,"score_gpt":0.22363899429120843,"score_spread":0.20513042067172066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387454024","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031808214,0.00016595573,0.99781704,0.000019900706,0.00004259828,0.00088577124,0.000045890803,0.0004383503,0.00026642764],"genre_scores_gemma":[0.065336645,0.000011438,0.93305236,0.000052295196,0.00026479398,0.0011028844,0.00007118977,0.000043394844,0.00006497248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992919,0.000005747194,0.00024809147,0.00018018378,0.000053360534,0.00022074596],"domain_scores_gemma":[0.99955964,0.00005488788,0.000035355373,0.00020066119,0.00008464102,0.00006483614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005309201,0.00011837139,0.00012464052,0.000041751242,0.00014370593,0.000030140318,0.00013813774,0.000049174876,0.000012606551],"category_scores_gemma":[6.645481e-7,0.00012971507,0.0000641348,0.00015752365,0.000016696587,0.00011919688,0.000016325397,0.00005641914,0.00005060573],"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":[0.0000047483336,0.00018635271,0.000026931657,0.00006125401,0.000104663624,6.5034214e-7,0.0013774164,0.55084705,0.017370608,0.0072164503,0.0005592688,0.42224458],"study_design_scores_gemma":[0.00030425072,0.00001423799,0.000014325038,0.0000059182853,0.000018549183,0.0000028076877,0.000042382693,0.9686781,0.005969164,0.00042914553,0.024371533,0.00014954722],"about_ca_topic_score_codex":0.000008159768,"about_ca_topic_score_gemma":0.0000033270344,"teacher_disagreement_score":0.42209503,"about_ca_system_score_codex":0.000035190427,"about_ca_system_score_gemma":0.000008796186,"threshold_uncertainty_score":0.52896273},"labels":[],"label_agreement":null},{"id":"W2387470475","doi":"","title":"Application and Maintenance of Gas Chromatograph in Laboratory","year":2013,"lang":"en","type":"article","venue":"Experiment Science and Technology","topic":"Advanced Sensor and Control Systems","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":"Science North","funders":"","keywords":"Gas chromatography; Chromatography; Gas chromatography ion detector; Engineering; Petroleum engineering; Environmental science; Computer science; Chemistry","score_opus":0.001989748749522306,"score_gpt":0.19567275043925295,"score_spread":0.19368300168973063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387470475","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":[0.99655914,0.0016444065,0.000968678,0.00012501188,0.000024749523,0.00015885058,4.1560406e-7,0.000074330914,0.00044441936],"genre_scores_gemma":[0.9994528,0.000092663504,0.00036206233,0.0000101473615,0.0000029075786,0.000073616175,7.4742054e-8,0.0000028866345,0.0000028355678],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996116,0.0000019046112,0.0000905318,0.0001121378,0.00006190224,0.00012192413],"domain_scores_gemma":[0.9998045,0.0000045136353,0.00001559531,0.00011065673,0.000039682796,0.000025044454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006254727,0.000044949986,0.00008305116,0.00019367487,0.000022734905,0.000006131984,0.00007271484,0.000034052016,0.0000021890257],"category_scores_gemma":[0.000012534922,0.00004001428,0.0000028332547,0.0005227767,0.00033867155,0.00011473461,0.000019105211,0.000035263936,0.0000019359052],"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":[3.3366922e-7,0.000004786707,0.0029484788,0.000006150937,8.810133e-7,2.542996e-7,0.00008505788,0.000012547584,0.9816783,0.0077917553,0.000017129216,0.0074543008],"study_design_scores_gemma":[0.00055578194,0.000078491306,0.00811058,0.00003505542,0.0000013572993,0.000010162448,0.0025751148,0.027244594,0.9538852,0.0051594963,0.0021543799,0.00018976642],"about_ca_topic_score_codex":0.000019621424,"about_ca_topic_score_gemma":0.0000026511382,"teacher_disagreement_score":0.027793104,"about_ca_system_score_codex":0.000014520505,"about_ca_system_score_gemma":0.0000071405184,"threshold_uncertainty_score":0.1631735},"labels":[],"label_agreement":null},{"id":"W2387540786","doi":"","title":"Nonlinear errors correction of sensors based on neural network","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Artificial neural network; Nonlinear system; Computer science; Inverse; Simple (philosophy); Control theory (sociology); Time delay neural network; Algorithm; Error detection and correction; Artificial intelligence; Mathematics; Physics; Control (management)","score_opus":0.010481634873477879,"score_gpt":0.1998331134122866,"score_spread":0.1893514785388087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387540786","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":[0.7015405,0.0002947769,0.040722825,0.00013458503,0.0076627536,0.00053176127,0.000011086961,0.0015336903,0.24756798],"genre_scores_gemma":[0.99799246,0.000003927596,0.0004334685,0.000052614225,0.00021374838,0.0000024782607,0.000001969244,0.000019748408,0.0012795915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949366,0.000016044352,0.0001555745,0.00008160367,0.000099823905,0.00015328913],"domain_scores_gemma":[0.99972904,0.00005626577,0.000020522157,0.00014059596,0.000017328259,0.000036226873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028912893,0.00009135184,0.00013657211,0.00003371999,0.000022074537,0.0000040030577,0.000037100646,0.000042810145,0.0001751851],"category_scores_gemma":[0.000009877934,0.00008164896,0.000054688175,0.00012317827,0.000009182475,0.00003278035,0.0000019503673,0.000083853614,0.000046324196],"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":[0.0000077641,0.000010061163,0.00017697245,0.0000071782147,0.000005459847,0.0000017254432,0.000017143839,0.993023,0.0005334527,0.0000056833787,0.00206394,0.0041476144],"study_design_scores_gemma":[0.00024242883,0.00005396448,0.00017173402,0.000012266507,0.0000045578245,0.0000016954916,0.000025607804,0.9948525,0.0013752535,0.0000019559304,0.0031730179,0.00008501042],"about_ca_topic_score_codex":0.000010899569,"about_ca_topic_score_gemma":0.000011604588,"teacher_disagreement_score":0.29645193,"about_ca_system_score_codex":0.000017898665,"about_ca_system_score_gemma":6.7085534e-7,"threshold_uncertainty_score":0.33295482},"labels":[],"label_agreement":null},{"id":"W2388785037","doi":"","title":"Design of Embedded Interface in Network Appliance System","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Interface (matter); Microcontroller; Embedded system; The Internet; Network interface; Computer hardware; Computer network; Operating system; Software","score_opus":0.007565936791860576,"score_gpt":0.22294300603726455,"score_spread":0.21537706924540398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388785037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001804689,0.0007662161,0.9952182,0.000003310079,0.000034360208,0.00079863245,0.0000025450324,0.00021631824,0.0011557187],"genre_scores_gemma":[0.83733404,0.0000055021496,0.16233645,0.0000093079025,0.00014462146,0.00011337906,0.0000025459751,0.000021862888,0.000032293556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999157,0.00001345829,0.0003723747,0.00015300841,0.00005981686,0.00024430084],"domain_scores_gemma":[0.9995833,0.000077275705,0.00004750787,0.00022313329,0.000029098885,0.000039672683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017917124,0.00011422137,0.00020225249,0.00005821419,0.000025400132,0.000008791312,0.00018688015,0.000058018508,0.0000015171048],"category_scores_gemma":[1.049493e-7,0.00012461696,0.000029793318,0.0003087756,0.000016133548,0.00003877964,0.000018696643,0.00009562554,0.000039120252],"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":[0.00000859127,0.000017050437,0.00008719083,0.00011899089,0.000017438579,0.0000012924879,0.0002064034,0.89423174,0.072427146,0.0013514168,0.0003321835,0.031200582],"study_design_scores_gemma":[0.0019646257,0.000049192204,0.0017323834,0.00046613245,0.00003228288,0.00007682396,0.00063613,0.7701478,0.08059463,0.00067050976,0.14268449,0.0009450119],"about_ca_topic_score_codex":0.0000044117423,"about_ca_topic_score_gemma":0.000007760556,"teacher_disagreement_score":0.8355293,"about_ca_system_score_codex":0.0000799846,"about_ca_system_score_gemma":0.000006296475,"threshold_uncertainty_score":0.50817317},"labels":[],"label_agreement":null},{"id":"W2388853509","doi":"","title":"A New Solution Based on Virtual Machine for Porting Embedded Operating System","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Porting; Computer science; Operating system; Virtual machine; Embedded system; Excellence; Virtual finite-state machine; Software","score_opus":0.0058453360168532606,"score_gpt":0.2255063986181838,"score_spread":0.21966106260133056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388853509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009517192,0.000078310586,0.9956689,0.00003126437,0.000062335945,0.0010615556,0.000019641191,0.0006163841,0.0015098936],"genre_scores_gemma":[0.7538111,2.5213643e-7,0.24517184,0.0000905029,0.0005471612,0.00018754968,0.00005762158,0.000038881393,0.00009507068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990227,0.0000076867345,0.0003799822,0.00022018848,0.00008781766,0.00028162045],"domain_scores_gemma":[0.9994877,0.0001032242,0.00005916864,0.00020972642,0.000045319674,0.00009486733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017798699,0.0001552725,0.00017139329,0.00008627776,0.0001761879,0.0000428532,0.00013001625,0.00006395322,0.0000025622985],"category_scores_gemma":[8.7389986e-7,0.0001615881,0.00007765761,0.00014356697,0.0000057337475,0.00005162463,0.000011014103,0.00009640095,0.000028320528],"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":[0.000016661817,0.0000300444,0.000041883457,0.000111998226,0.000033123928,0.000001439463,0.00018672788,0.42199737,0.19328596,0.0046594804,0.0011181701,0.37851712],"study_design_scores_gemma":[0.0008146749,0.00003702369,0.00008973909,0.000050670966,0.000014184632,0.000010439915,0.00006045054,0.9546126,0.009209391,0.00002269107,0.0348632,0.00021493541],"about_ca_topic_score_codex":0.000013012103,"about_ca_topic_score_gemma":0.0000121868525,"teacher_disagreement_score":0.7528594,"about_ca_system_score_codex":0.0001317391,"about_ca_system_score_gemma":0.000015008253,"threshold_uncertainty_score":0.65893716},"labels":[],"label_agreement":null},{"id":"W2389756947","doi":"","title":"ZOOM FFT Technology Based on Analytic Signal and Band Pass Filter","year":2001,"lang":"en","type":"article","venue":"Journal of Chongqing University. English Edition","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"CAE (Canada)","funders":"","keywords":"Zoom; Fast Fourier transform; Computer science; SIGNAL (programming language); Filter (signal processing); Computer vision; Algorithm; Engineering","score_opus":0.003518990298697272,"score_gpt":0.15972704256185022,"score_spread":0.15620805226315296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389756947","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":[0.8603265,0.00019261376,0.1173797,0.00040307274,0.0027937598,0.00015092231,0.000016045962,0.00025652949,0.018480811],"genre_scores_gemma":[0.99874586,0.000050940725,0.00026422448,0.000022213859,0.00076584413,1.0089568e-7,0.0000024800604,0.000011617143,0.00013674005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940765,0.00002422606,0.00016047788,0.00008766268,0.00017042867,0.00014956278],"domain_scores_gemma":[0.99948686,0.00008220163,0.00009774818,0.000082485836,0.00017383348,0.00007688956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009971371,0.00010540873,0.0001988651,0.00038676194,0.000070751026,0.000024067493,0.000091520604,0.000105547195,0.000049597333],"category_scores_gemma":[0.00004256932,0.00010888267,0.00006554357,0.00025656662,0.000030759787,0.00033554062,0.0000057398906,0.00027942684,0.0000019646113],"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":[0.0012187711,0.0002985874,0.01966256,0.00025671354,0.00066168455,0.0035740812,0.0015688644,0.8605998,0.06358513,0.0011940098,0.029355315,0.018024482],"study_design_scores_gemma":[0.017812518,0.0021036563,0.015912132,0.0017774878,0.0007202593,0.00047969655,0.008768583,0.5271973,0.007940505,0.0017848606,0.41387668,0.0016263105],"about_ca_topic_score_codex":0.0000011956203,"about_ca_topic_score_gemma":0.0000031173588,"teacher_disagreement_score":0.38452137,"about_ca_system_score_codex":0.0001266586,"about_ca_system_score_gemma":0.000012550239,"threshold_uncertainty_score":0.44401065},"labels":[],"label_agreement":null},{"id":"W2389977909","doi":"","title":"Application of GA-BP Algorithm in the Forecast for the Orthogonal Test","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Artificial neural network; Convergence (economics); Genetic algorithm; Nonlinear system; Rate of convergence; Research Object; Test data; Grafting; Artificial intelligence; Machine learning; Key (lock)","score_opus":0.00403180274854464,"score_gpt":0.2111493409059278,"score_spread":0.20711753815738315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389977909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014854874,0.000109138266,0.9962329,0.00022100053,0.000026967393,0.0015572993,0.00006997726,0.000052704516,0.000244521],"genre_scores_gemma":[0.90927696,0.000008244069,0.0865493,0.00012784183,0.00044837038,0.003496567,0.000045729117,0.000024034442,0.000022961629],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944174,0.000005940574,0.00022134634,0.00012513853,0.00006867741,0.00013715008],"domain_scores_gemma":[0.99915564,0.00040970845,0.00004179831,0.0003259403,0.00004976156,0.00001714951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013586578,0.00009138417,0.000100265715,0.000033278026,0.00008588066,0.00001987709,0.00034683407,0.000046660665,0.0000018317428],"category_scores_gemma":[8.562538e-7,0.000060377297,0.000058074736,0.00018673584,0.00003781749,0.00003537311,0.000013741477,0.00014901595,0.000009811027],"study_design_candidate":"design_other","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":[0.0000016150967,0.000065675405,0.0003961866,0.000031208787,0.000016280088,6.463982e-8,0.0002996643,0.0044821287,0.08967269,0.006171879,0.00074801216,0.8981146],"study_design_scores_gemma":[0.00031026365,0.000009865531,0.004424081,0.0000031934355,0.000013973504,0.00001588,0.000064390726,0.37887248,0.0017179716,0.0014339705,0.61302996,0.000103974664],"about_ca_topic_score_codex":0.000010812101,"about_ca_topic_score_gemma":0.00008461205,"teacher_disagreement_score":0.9096836,"about_ca_system_score_codex":0.000009217131,"about_ca_system_score_gemma":0.000006633047,"threshold_uncertainty_score":0.24621147},"labels":[],"label_agreement":null},{"id":"W2390884865","doi":"","title":"Considerations Based on the New Institutional Economics about the Encouragement of Enterprise Employees'Salary","year":2005,"lang":"en","type":"article","venue":"Jingji yu guanli","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Salary; Function (biology); New institutional economics; Public relations; Economics; Business; Public economics; Microeconomics; Law and economics; Political science; Market economy","score_opus":0.01407126239052085,"score_gpt":0.21541718867795023,"score_spread":0.2013459262874294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390884865","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":[0.55308855,0.003013944,0.28663233,0.030027589,0.0031902934,0.0028028022,0.00022650452,0.00078161457,0.120236345],"genre_scores_gemma":[0.9979282,0.000028088802,0.000678449,0.0008600261,0.00030597564,0.00002455877,0.000005342813,0.000015527425,0.00015383985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993392,0.000027138583,0.00027326337,0.00010562695,0.00010804657,0.00014668104],"domain_scores_gemma":[0.99931836,0.00025903006,0.00005153209,0.0003066276,0.000024537427,0.000039924656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001242177,0.00011810059,0.00012951465,0.0000371683,0.00015049211,0.000034811335,0.00012261406,0.000036267626,0.00014084452],"category_scores_gemma":[0.000049041868,0.000077077544,0.000089780915,0.000044148117,0.00004743226,0.000085166146,0.000013846039,0.00012554826,0.00003790193],"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":[0.000008329239,0.000026079577,0.00015605705,0.000007418945,0.000046191224,0.0000012763019,0.0002824307,0.9606163,0.0005208929,0.029063849,0.006020457,0.0032507363],"study_design_scores_gemma":[0.00156226,0.00008993051,0.0024424975,0.00011742678,0.00006419142,0.000011283208,0.00025814434,0.78031886,0.004393225,0.0053206137,0.2050447,0.00037686373],"about_ca_topic_score_codex":0.000015339474,"about_ca_topic_score_gemma":0.00009890727,"teacher_disagreement_score":0.44483963,"about_ca_system_score_codex":0.00008912504,"about_ca_system_score_gemma":0.00006158725,"threshold_uncertainty_score":0.31431308},"labels":[],"label_agreement":null},{"id":"W2390914236","doi":"","title":"The Study and Application of an Intelligent Method for Modify Parameter","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; PID controller; Fuzzy logic; Control (management); Intelligent control; Temperature control; Control theory (sociology); Control engineering; Artificial intelligence","score_opus":0.009878587717466704,"score_gpt":0.29147520490486456,"score_spread":0.28159661718739787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390914236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018992247,0.00020395409,0.978601,0.000013637808,0.000011597591,0.0020429222,0.0000073018814,0.00007752949,0.000049843857],"genre_scores_gemma":[0.7142979,0.000005887918,0.2847547,0.00001660941,0.00008632754,0.000801516,0.0000074495365,0.00001715066,0.000012449734],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994015,0.0000132072255,0.00025431064,0.00015118424,0.000049448106,0.00013036685],"domain_scores_gemma":[0.9993235,0.00028813767,0.000039657458,0.00025522648,0.000052150703,0.00004136026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029120524,0.00008367319,0.000112458525,0.00003332464,0.00010484488,0.00002106833,0.00014048003,0.0000308748,1.6112888e-7],"category_scores_gemma":[5.057202e-7,0.00006644435,0.000029459006,0.00008840388,0.00001927406,0.000034762867,0.000015712072,0.000048807036,0.0000016785834],"study_design_candidate":"design_other","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":[0.000007779791,0.000056713663,0.000067491936,0.000016688484,0.000032052543,3.4696022e-8,0.00034043944,0.0041470225,0.021342583,0.0017164361,0.000016229036,0.97225654],"study_design_scores_gemma":[0.0006240016,0.00012233871,0.0023849835,0.0000037446403,0.00005051174,0.00000878734,0.00078565336,0.68119365,0.022290744,0.0056569767,0.2866426,0.00023597742],"about_ca_topic_score_codex":0.000012703962,"about_ca_topic_score_gemma":0.00004253053,"teacher_disagreement_score":0.97202057,"about_ca_system_score_codex":0.000016738704,"about_ca_system_score_gemma":0.0000020135974,"threshold_uncertainty_score":0.2709522},"labels":[],"label_agreement":null},{"id":"W2390926442","doi":"","title":"A WSN Platform Based on Zigbee Technology","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Embedded system; Microcontroller; Wireless sensor network; NeuRFon; Wireless; Software; Software design; Architecture; Computer hardware; Wireless network; Computer network; Key distribution in wireless sensor networks; Operating system; Software development","score_opus":0.0029040096195580597,"score_gpt":0.1906422373002676,"score_spread":0.18773822768070955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390926442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014115061,0.00004044855,0.97783977,0.00022179201,0.000066188506,0.0005249085,0.000015034151,0.0010045537,0.006172241],"genre_scores_gemma":[0.9268978,0.0000015281073,0.072136804,0.00017057818,0.00021417631,0.00047574146,0.000015295944,0.000030990625,0.00005705186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994521,0.0000016551834,0.00014195581,0.00016620265,0.00005491678,0.00018317954],"domain_scores_gemma":[0.9995284,0.000029875613,0.000017837645,0.0003505728,0.000026546022,0.000046779372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024941379,0.00011690349,0.00011420087,0.00013915128,0.00007380736,0.00002087001,0.00021044849,0.00010878039,0.000017493092],"category_scores_gemma":[2.69892e-7,0.00011707681,0.00004035131,0.0002202237,0.000026865928,0.000033366112,0.000013592835,0.00025307687,0.00030194194],"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":[0.000003846912,0.00007145174,0.00021773775,0.000028972372,0.000022068505,0.0000019694967,0.00003965739,0.02133751,0.46456975,0.015674494,0.0017636203,0.49626893],"study_design_scores_gemma":[0.0003671538,0.000014352981,0.0001694272,0.0000070300166,0.0000053736576,0.000013610602,0.000006993595,0.09636715,0.016355293,0.0011566196,0.88534904,0.00018794183],"about_ca_topic_score_codex":0.0000014240807,"about_ca_topic_score_gemma":0.000009990086,"teacher_disagreement_score":0.9127828,"about_ca_system_score_codex":0.00001996861,"about_ca_system_score_gemma":0.000006885223,"threshold_uncertainty_score":0.4774254},"labels":[],"label_agreement":null},{"id":"W2390958367","doi":"","title":"On Board Diagnostics Introduction","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"On board; Engineering; Computer science; Aerospace engineering","score_opus":0.009743378986482384,"score_gpt":0.1734432953321191,"score_spread":0.16369991634563671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2390958367","genre_codex":"other","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":[0.16530867,0.0003062257,0.25060603,0.00011504048,0.004595379,0.0002765312,0.000003556748,0.0017784736,0.5770101],"genre_scores_gemma":[0.9981986,0.000028447874,0.00062167656,0.00003361802,0.0003730218,0.0000027087726,9.00123e-7,0.000012052506,0.0007289696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974185,0.0000037590191,0.00006594159,0.000059397804,0.000043697277,0.000085327774],"domain_scores_gemma":[0.9998269,0.000018859018,0.0000047297813,0.000114991526,0.0000093628905,0.00002513517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000015634378,0.00005143821,0.000056181412,0.000020441992,0.000012030869,0.0000033643676,0.00002918786,0.000022403858,0.00021018082],"category_scores_gemma":[0.000020194075,0.00004416763,0.000016264084,0.0000307662,0.000004898959,0.000035584948,0.0000021996577,0.00004455582,0.00030479798],"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":[0.00011499039,0.00017934229,0.0021810234,0.00010134079,0.00019899038,0.00004659162,0.0018773001,0.08033043,0.014286218,0.4803173,0.31401986,0.10634661],"study_design_scores_gemma":[0.0030807091,0.00092128373,0.022088462,0.00006071487,0.00009777177,0.00004522059,0.0009793367,0.107150696,0.14839406,0.045410015,0.6696641,0.0021076514],"about_ca_topic_score_codex":0.000008211454,"about_ca_topic_score_gemma":0.000004721499,"teacher_disagreement_score":0.8328899,"about_ca_system_score_codex":0.000014142957,"about_ca_system_score_gemma":5.9458057e-7,"threshold_uncertainty_score":0.3917663},"labels":[],"label_agreement":null},{"id":"W2391189468","doi":"","title":"Design and Implementation of Embedded DVR System Based on XPE","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Embedded system; Booting; Software; Compatibility (geochemistry); Computer hardware; Process (computing); Operating system","score_opus":0.01144119558674722,"score_gpt":0.21951530878568074,"score_spread":0.2080741131989335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2391189468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004926071,0.00005181268,0.9933968,0.0000036771062,0.000012558117,0.0006979207,0.00000861186,0.00015986968,0.0007426528],"genre_scores_gemma":[0.8609425,0.0000016154693,0.13874297,0.000017134407,0.0000279222,0.0002420154,0.0000069007183,0.000014482736,0.0000044516255],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954194,0.000016287397,0.00018197186,0.00011630057,0.000047675312,0.00009582787],"domain_scores_gemma":[0.9997195,0.000029681507,0.00003570435,0.00015535443,0.000027132282,0.00003260088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004793478,0.0000842724,0.00011116358,0.000057452504,0.000034540193,0.0000074277104,0.00007092962,0.000027617712,0.0000067886604],"category_scores_gemma":[3.9829793e-8,0.00008513481,0.000021632399,0.000077236626,0.000010675496,0.000031536467,0.000006557564,0.00003331208,0.000013296146],"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":[0.00005431557,0.00016936693,0.00086237624,0.0010401179,0.00019331716,0.0000033784556,0.0050422414,0.12269097,0.42654395,0.015035161,0.0013106157,0.42705417],"study_design_scores_gemma":[0.002365871,0.00017581432,0.005136358,0.0000979627,0.00007591513,0.000018877416,0.0010530608,0.6985039,0.27780172,0.00031655008,0.013889219,0.00056477316],"about_ca_topic_score_codex":0.000010529335,"about_ca_topic_score_gemma":0.0000013197978,"teacher_disagreement_score":0.85601646,"about_ca_system_score_codex":0.000025392495,"about_ca_system_score_gemma":0.000005210309,"threshold_uncertainty_score":0.34716967},"labels":[],"label_agreement":null},{"id":"W2392733683","doi":"","title":"Discussion of accurate measurement scheme of power factor","year":2003,"lang":"en","type":"article","venue":"Relay","topic":"Advanced Sensor and Control Systems","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":"Western University","funders":"","keywords":"Power factor; Electronic engineering; Filter (signal processing); Computer science; Engineering; Electrical engineering; Voltage","score_opus":0.016664485879557125,"score_gpt":0.21686542757889993,"score_spread":0.2002009416993428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392733683","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":[0.88044494,0.0045291604,0.07090721,0.000038413833,0.0009391265,0.00044972124,0.000026176167,0.00018336724,0.04248185],"genre_scores_gemma":[0.99940723,0.000018644118,0.0003650601,0.0000014157064,0.0000068229724,0.0000021590633,3.1766402e-7,0.000012020591,0.00018634119],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999476,0.000016586057,0.00018221333,0.0000565948,0.0001756584,0.00009295529],"domain_scores_gemma":[0.9997432,0.0000081788185,0.000036788148,0.00013980233,0.00004368172,0.000028334027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066859866,0.00006591102,0.00014179747,0.000017466891,0.0000081849,0.0000016958736,0.000039521037,0.000036928348,0.0000767567],"category_scores_gemma":[0.00003697567,0.000041765466,0.000047112953,0.000055221022,0.000007751906,0.00004151836,0.0000032029586,0.0000491914,0.00000903179],"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":[0.000010190799,0.000021730415,0.00063099794,0.000089684334,0.00005680444,0.0000010111103,0.0002854607,0.014903304,0.98210716,0.00075495243,0.000101952995,0.0010367251],"study_design_scores_gemma":[0.0029683968,0.00020404774,0.007428719,0.00051264383,0.00004527931,0.000008546041,0.00075332425,0.012168386,0.8426383,0.0003620917,0.13219896,0.00071130187],"about_ca_topic_score_codex":9.87533e-7,"about_ca_topic_score_gemma":8.9038116e-7,"teacher_disagreement_score":0.13946888,"about_ca_system_score_codex":0.000027508966,"about_ca_system_score_gemma":0.0000060394996,"threshold_uncertainty_score":0.17031464},"labels":[],"label_agreement":null},{"id":"W2392910113","doi":"","title":"The Application of Multi-machine Communication in the Gate System Based on Modbus Protocol","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modbus; Computer science; Microcontroller; Embedded system; Reliability (semiconductor); Communications protocol; Computer hardware; Liquid-crystal display; Protocol (science); Set (abstract data type); Serial communication; Operating system; Power (physics)","score_opus":0.013389099221769615,"score_gpt":0.23601682802264762,"score_spread":0.222627728800878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392910113","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017078384,0.000059548103,0.96222174,0.00004471713,0.000005773855,0.03518703,0.000011068571,0.00014045952,0.002158858],"genre_scores_gemma":[0.8311617,0.0000018866764,0.016474027,0.000037677968,0.000017996223,0.15226685,0.000014022451,0.0000191457,0.0000066996467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917996,0.00008752658,0.00035511708,0.00013730787,0.000100278994,0.00013980507],"domain_scores_gemma":[0.998895,0.00013305801,0.00009568239,0.00080641813,0.000049158076,0.000020666266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542191,0.00012235944,0.00012545001,0.00005172947,0.0001511956,0.000020165231,0.00059787545,0.00004650327,6.547305e-7],"category_scores_gemma":[4.5337097e-7,0.0000794467,0.00004867323,0.00023781831,0.000042754255,0.00003822803,0.000019700772,0.00015129017,0.000022897791],"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":[0.00015269754,0.0011168589,0.0014165238,0.0009560292,0.000095687246,0.0000012531481,0.004512313,0.51315385,0.024865447,0.071272604,0.0004117905,0.38204494],"study_design_scores_gemma":[0.00065750367,0.000016554672,0.002172879,0.00003547557,0.0000067613873,0.0000027815747,0.00011981877,0.9385883,0.0013959432,0.00013115456,0.05676607,0.0001067616],"about_ca_topic_score_codex":0.0000718186,"about_ca_topic_score_gemma":0.00007069401,"teacher_disagreement_score":0.94574773,"about_ca_system_score_codex":0.000052348933,"about_ca_system_score_gemma":0.0000069517464,"threshold_uncertainty_score":0.32397422},"labels":[],"label_agreement":null},{"id":"W2393028700","doi":"","title":"The vehicle flux detecting system based on CAN BUS","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; CAN bus; Process (computing); Software; Embedded system; Computer hardware; Real-time computing; Scope (computer science); Controller (irrigation); Automotive engineering; Operating system; Engineering","score_opus":0.0035816496688191946,"score_gpt":0.18284565222996513,"score_spread":0.17926400256114594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393028700","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":[0.0076437057,0.00027429278,0.985259,0.00034181256,0.000051752737,0.0006952235,0.000012683801,0.0008613853,0.0048601315],"genre_scores_gemma":[0.9900003,0.0000013733016,0.0088947,0.00011827708,0.00046352015,0.00035683703,0.0000053295057,0.000029224235,0.00013044103],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993438,0.000015743426,0.00018977065,0.00015155454,0.00008172649,0.00021739647],"domain_scores_gemma":[0.99946475,0.000111915855,0.000027483336,0.00031352026,0.000030195197,0.00005212659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066562476,0.00011520399,0.00009684651,0.00003258839,0.00031429337,0.00006252525,0.00019585012,0.000037740192,0.0000016544574],"category_scores_gemma":[2.9351133e-7,0.00009400727,0.00004991385,0.00013365198,0.0000136238905,0.000025145078,0.000011663506,0.000117378026,0.00016005647],"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":[0.0000032035366,0.000015095124,0.000031726584,0.00003991822,0.000020590629,6.0094493e-7,0.000095447416,0.45964676,0.03813769,0.0010339215,0.00079778465,0.50017726],"study_design_scores_gemma":[0.00020922403,0.0000061745195,0.00011513455,0.000015459531,0.0000054254665,0.000005110904,0.00004336043,0.55712444,0.008281386,0.000010075093,0.43407547,0.00010874195],"about_ca_topic_score_codex":0.000007523993,"about_ca_topic_score_gemma":0.000035651752,"teacher_disagreement_score":0.9823566,"about_ca_system_score_codex":0.00014436757,"about_ca_system_score_gemma":0.0000072026637,"threshold_uncertainty_score":0.38335055},"labels":[],"label_agreement":null},{"id":"W2393499371","doi":"","title":"An Excessive Burden of Vehicles Monitoring System Design for City Free Traffic","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Bridge (graph theory); Identification (biology); Field (mathematics); Intelligent transportation system; Embedded system; Management system; Real-time computing; Transport engineering","score_opus":0.02685918545082614,"score_gpt":0.23257541610435925,"score_spread":0.20571623065353312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393499371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07029629,0.00025389766,0.9279746,0.0000024507635,0.00004075066,0.000912363,0.000033562323,0.00035045602,0.00013565323],"genre_scores_gemma":[0.78995377,0.0000029697135,0.20914635,0.0000011243952,0.0002920447,0.00056669785,0.000004542304,0.0000247603,0.000007723231],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993252,0.000016293989,0.00025569432,0.00017657499,0.000058316415,0.00016789288],"domain_scores_gemma":[0.9993907,0.000051253177,0.000057674883,0.00035894482,0.00008091979,0.00006046645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006661804,0.00012290858,0.0001904848,0.000054990174,0.00007353432,0.0000149088,0.0003495096,0.00006138062,0.0000011005611],"category_scores_gemma":[2.5935657e-7,0.00012825002,0.00005848102,0.000094564864,0.000018567494,0.00009328274,0.000014588503,0.000052928914,0.0000048802085],"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":[0.000031215837,0.00010358446,0.00015499958,0.00060011545,0.00016825684,0.0000013523727,0.004851726,0.38780352,0.42903745,0.0016763528,0.00027763328,0.17529377],"study_design_scores_gemma":[0.0023047004,0.0001939494,0.0018737053,0.00023588068,0.00015207534,0.000030600208,0.00220485,0.6094123,0.36874977,0.001234224,0.012699096,0.00090884144],"about_ca_topic_score_codex":0.000015633,"about_ca_topic_score_gemma":9.176211e-7,"teacher_disagreement_score":0.7196575,"about_ca_system_score_codex":0.000042039723,"about_ca_system_score_gemma":0.000007064753,"threshold_uncertainty_score":0.5229884},"labels":[],"label_agreement":null},{"id":"W2393991706","doi":"","title":"An Indoor Positioning System for the Dolly Based on Infrared, Ultrasonic and Photoelectric Coder","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ultrasonic sensor; Computer science; Infrared; Track (disk drive); Positioning system; Acoustics; Photoelectric effect; Computer vision; Remote sensing; Artificial intelligence; Optics; Physics; Geology","score_opus":0.0038285059321650594,"score_gpt":0.21291274218315287,"score_spread":0.20908423625098782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393991706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076613394,0.00029272554,0.98987263,0.000022707784,0.000026309335,0.0012424088,0.000025819307,0.00029822125,0.0005578472],"genre_scores_gemma":[0.9747524,0.0000032894318,0.024257692,0.00016514036,0.00021649375,0.000529612,0.000026942775,0.000029497072,0.000018906127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993475,0.0000099607,0.00018640056,0.00017726517,0.000065597385,0.00021324465],"domain_scores_gemma":[0.9993456,0.00028805557,0.00003186112,0.00023101408,0.000044992765,0.000058491416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013729818,0.000121827885,0.00011398348,0.000071188755,0.00024617542,0.000069213704,0.00013968488,0.00005335135,0.0000010001758],"category_scores_gemma":[3.4909755e-7,0.00010127352,0.00003930888,0.00018281049,0.000015504487,0.000052243966,0.000004208635,0.00009453738,0.0000071562336],"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":[0.0000958279,0.00013112769,0.0004935429,0.00036326615,0.00015187805,0.0000023279893,0.00059708,0.26983514,0.41802207,0.006799739,0.00086064055,0.30264738],"study_design_scores_gemma":[0.001329456,0.00009129205,0.002493392,0.00004867249,0.000049971404,0.000039556693,0.00015286662,0.9044835,0.033071958,0.00010762232,0.057807237,0.00032450425],"about_ca_topic_score_codex":0.0000048433085,"about_ca_topic_score_gemma":0.000005948293,"teacher_disagreement_score":0.9670911,"about_ca_system_score_codex":0.00007381509,"about_ca_system_score_gemma":0.000008338854,"threshold_uncertainty_score":0.41298142},"labels":[],"label_agreement":null},{"id":"W2394393009","doi":"","title":"Applications of Anti-jamming Technology in MCU Control System","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"CAE (Canada)","funders":"","keywords":"Microcontroller; Jamming; Interference (communication); Embedded system; Control (management); Set (abstract data type); Control system; Computer science; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.0021405994956317093,"score_gpt":0.18835997737892013,"score_spread":0.1862193778832884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394393009","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":[0.06074653,0.0007194614,0.90253145,0.0001616611,0.00007753064,0.00066917494,0.0000061256674,0.00090681226,0.034181286],"genre_scores_gemma":[0.9993587,0.0000048092747,0.0005215463,0.00000932425,0.000023633287,0.00003181982,5.8329937e-7,0.0000070074857,0.000042538573],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995039,0.0000055443943,0.00022847089,0.000079549194,0.00004880404,0.00013369342],"domain_scores_gemma":[0.9997487,0.00001849128,0.000022789236,0.0001716981,0.000020883992,0.000017458218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004335085,0.00006692536,0.00020808955,0.00015708333,0.000011771809,0.0000028507325,0.000083132785,0.000067293906,0.0000022915233],"category_scores_gemma":[0.000003820652,0.000063469626,0.000023334384,0.00025667602,0.00000968349,0.000034073524,0.000002248737,0.00006443942,0.000011973331],"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":[0.000011043126,0.00005821193,0.005352928,0.00023908415,0.00004995759,0.00001320637,0.00010979976,0.13303405,0.4893944,0.23918009,0.00005539138,0.13250183],"study_design_scores_gemma":[0.010474575,0.00033395708,0.013208617,0.0005306609,0.000090352296,0.00016506428,0.0066847038,0.843592,0.08765817,0.008103732,0.027650364,0.0015078462],"about_ca_topic_score_codex":0.000006659881,"about_ca_topic_score_gemma":0.0000058700393,"teacher_disagreement_score":0.9386122,"about_ca_system_score_codex":0.000035121753,"about_ca_system_score_gemma":0.0000026790447,"threshold_uncertainty_score":0.25882164},"labels":[],"label_agreement":null},{"id":"W2394465183","doi":"","title":"Measurement and Analysis on Momentum of Spray of Diesel Engine","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"CAE (Canada)","funders":"","keywords":"Nozzle; Spray characteristics; Momentum (technical analysis); Spray nozzle; Mechanics; Diesel fuel; Physics; Engineering; Automotive engineering; Thermodynamics","score_opus":0.014557139217714872,"score_gpt":0.1818899896504234,"score_spread":0.16733285043270854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394465183","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":[0.7980145,0.007111646,0.10756311,0.00010402239,0.00023016597,0.00038444746,0.000024507266,0.00022871222,0.086338855],"genre_scores_gemma":[0.9995861,0.00006256677,0.00012617078,0.0000030442768,0.000009762788,0.000002386083,3.438487e-7,0.0000055366722,0.0002040826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995301,0.000006113929,0.00016104664,0.00005993237,0.0001683679,0.00007443598],"domain_scores_gemma":[0.99978906,0.000011620673,0.000020166057,0.00012047344,0.000033432334,0.000025273803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005904053,0.000061631516,0.00020529401,0.00009579549,0.000005983575,0.00000172845,0.000027874865,0.000016799033,0.00006707807],"category_scores_gemma":[0.000008426958,0.0000501234,0.000047841793,0.00015659619,0.000008186447,0.000020905945,0.0000035532853,0.00002424347,0.0000021605329],"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":[0.000028021901,0.00018283157,0.008201427,0.00042322307,0.0038823453,0.0000032894138,0.0008181405,0.5200441,0.43881944,0.0020681052,0.00073409674,0.024795018],"study_design_scores_gemma":[0.0018858417,0.00030894674,0.01737667,0.0000895076,0.000713347,0.0000011907379,0.0003680351,0.751617,0.22385621,0.00008400867,0.0032556958,0.0004435018],"about_ca_topic_score_codex":0.000008245788,"about_ca_topic_score_gemma":0.000010839404,"teacher_disagreement_score":0.23157299,"about_ca_system_score_codex":0.000015811913,"about_ca_system_score_gemma":3.446742e-7,"threshold_uncertainty_score":0.20439729},"labels":[],"label_agreement":null},{"id":"W2527723653","doi":"10.1109/jlt.2016.2593198","title":"Guest Editorial on the Special Issue for Optical Fibre Sensors","year":2016,"lang":"en","type":"editorial","venue":"Journal of Lightwave Technology","topic":"Advanced Sensor and Control Systems","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":"Université du Québec en Outaouais","funders":"","keywords":"Special section; Optical fiber; Telecommunications; Engineering; Engineering physics; Computer science; Materials science; Optics; Physics","score_opus":0.004691726669270996,"score_gpt":0.23470586901203247,"score_spread":0.23001414234276146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527723653","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009539811,0.00021365027,0.00055219233,0.0019804253,0.99366987,0.00036172767,0.00017519486,0.00016589127,0.0027856436],"genre_scores_gemma":[0.00043169534,0.0001851116,0.00019923902,0.000009035656,0.99764156,0.000021265761,0.0000059004437,0.00011815915,0.0013880429],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99738395,0.000035353256,0.00097593793,0.0002478247,0.0008264992,0.00053041783],"domain_scores_gemma":[0.9961246,0.002127315,0.00049466774,0.0004973524,0.00065460993,0.000101414706],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00044632555,0.0004615178,0.0010427769,0.0004477597,0.000105426276,0.000047979214,0.0008037142,0.0024446188,0.00005911875],"category_scores_gemma":[0.0021121714,0.00026757954,0.00040114817,0.0001649231,0.00015706767,0.00008663989,0.000046215842,0.0019871949,0.00012440988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023039062,0.00001873945,2.893357e-7,0.00004872105,0.0002282509,0.000049911385,0.000018233257,0.00006264938,0.0016858228,0.0009263296,0.9957251,0.0010055728],"study_design_scores_gemma":[0.0012436181,0.0007554603,1.3281357e-7,0.00027635155,0.000089660294,0.00004549217,0.000044703895,0.000014750859,0.00427189,0.0019086356,0.9910448,0.00030449725],"about_ca_topic_score_codex":3.6622652e-7,"about_ca_topic_score_gemma":0.000002327203,"teacher_disagreement_score":0.0046802824,"about_ca_system_score_codex":0.00030033427,"about_ca_system_score_gemma":0.00011029522,"threshold_uncertainty_score":0.99997765},"labels":[],"label_agreement":null},{"id":"W2615267540","doi":"10.12783/dtetr/ameme2016/5784","title":"Measurement of Foil Bonded Strain Gauges with 3 Wire Quarter Bridge","year":2017,"lang":"en","type":"article","venue":"DEStech Transactions on Engineering and Technology Research","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Strain gauge; FOIL method; Bridge (graph theory); Bridge circuit; Quarter (Canadian coin); Structural engineering; Strain (injury); Materials science; Noise (video); Composite material; Forensic engineering; Electrical engineering; Engineering; Voltage; Computer science","score_opus":0.030517236750030968,"score_gpt":0.27068601779654833,"score_spread":0.24016878104651737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615267540","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":[0.4143492,0.0011807738,0.58064646,0.00087834167,0.00017691503,0.0006420913,0.000055684395,0.0011436916,0.00092685974],"genre_scores_gemma":[0.99927944,0.00007731969,0.00046748674,6.8507103e-7,0.000013382372,0.0000862268,5.641197e-7,0.00003381293,0.0000410557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989337,0.0000129334185,0.00016148199,0.00020032952,0.00033851602,0.00035307626],"domain_scores_gemma":[0.99911195,0.0000310927,0.000021601623,0.00058600353,0.00018605885,0.000063305895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032376198,0.0001514656,0.00022771981,0.00047151413,0.00024143669,0.000039107254,0.00023030977,0.00017242342,0.000003074371],"category_scores_gemma":[0.000029413053,0.00013733447,0.000025716556,0.00023134825,0.00017449993,0.00009600066,0.0000041342946,0.00058405305,0.0000033715996],"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":[0.0001124648,0.00016381117,0.00069436827,0.00060799555,0.00052120624,0.0000771687,0.00021676229,0.037107255,0.7789146,0.0024019394,0.00004499465,0.17913747],"study_design_scores_gemma":[0.0068395888,0.002798326,0.02124247,0.0022953285,0.00013216796,0.00043403349,0.0013149658,0.18698922,0.7705571,0.0009903548,0.0047616432,0.0016447685],"about_ca_topic_score_codex":0.000019772824,"about_ca_topic_score_gemma":0.000052843778,"teacher_disagreement_score":0.58493024,"about_ca_system_score_codex":0.000056803743,"about_ca_system_score_gemma":0.000018521792,"threshold_uncertainty_score":0.5600337},"labels":[],"label_agreement":null},{"id":"W2887331344","doi":"10.3233/jifs-169732","title":"Acquisition and communication system for condition data of transmission line of smart distribution network","year":2018,"lang":"en","type":"article","venue":"Journal of Intelligent & Fuzzy Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"Computer science; Data acquisition; Data transmission; General Packet Radio Service; Transmission (telecommunications); Wireless; Serial port; Real-time computing; Microcontroller; Communications system; Node (physics); Embedded system; Computer hardware; Computer network; Serial communication; Engineering; Telecommunications","score_opus":0.025537794084704527,"score_gpt":0.27595870837057535,"score_spread":0.2504209142858708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887331344","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":[0.06931728,0.009909435,0.91867906,0.000027328393,0.0010580603,0.00052547036,0.000285701,0.000030738356,0.00016692618],"genre_scores_gemma":[0.9981311,0.0004928577,0.0006155728,0.0000018661095,0.0005368098,0.0000051533666,0.00018864279,0.000017571261,0.000010418375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982956,0.00010857945,0.0011389632,0.000096445336,0.0002242103,0.00013620885],"domain_scores_gemma":[0.9981597,0.00016668394,0.00065771193,0.00036852906,0.0005784696,0.000068923306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096988736,0.00012218072,0.0004604802,0.00006766014,0.000062062885,0.000019208612,0.00024340015,0.00009914637,0.0000020876282],"category_scores_gemma":[0.000026832395,0.00010338481,0.000079109355,0.00012004099,0.00005462489,0.00024748076,0.0000194125,0.00009438652,9.577866e-7],"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":[0.0058888183,0.00058744365,0.0035807493,0.025171336,0.0030054469,0.000014050086,0.0038418416,0.472086,0.34991762,0.031655017,0.022096328,0.08215534],"study_design_scores_gemma":[0.0030130288,0.0027598608,0.00094112847,0.012297014,0.000639112,0.00046761765,0.0041050296,0.86734796,0.07898525,0.0010106848,0.027891485,0.00054180354],"about_ca_topic_score_codex":0.000019692417,"about_ca_topic_score_gemma":0.0000046546093,"teacher_disagreement_score":0.9288138,"about_ca_system_score_codex":0.00008914424,"about_ca_system_score_gemma":0.000016081272,"threshold_uncertainty_score":0.421591},"labels":[],"label_agreement":null},{"id":"W2977879526","doi":"","title":"Bulid Custom Block in SIMULINK","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Block (permutation group theory); Embedded system; Operating system","score_opus":0.001935041652069827,"score_gpt":0.1717657445884478,"score_spread":0.16983070293637798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977879526","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":[0.029540842,0.0007012455,0.95840764,0.00009648232,0.000033897602,0.0006790876,0.0000138941,0.0005704819,0.009956428],"genre_scores_gemma":[0.9810928,0.000006047641,0.0180241,0.000052223702,0.00034042253,0.00020075442,0.00001945051,0.000024884586,0.00023931546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994006,0.0000060399498,0.00021231698,0.00015017053,0.00004848939,0.00018237074],"domain_scores_gemma":[0.9997364,0.000026500113,0.000015505992,0.0001762086,0.000017620225,0.000027721551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024099776,0.00010422081,0.00012051287,0.00006862272,0.000034423243,0.000022200193,0.00012830569,0.00004934461,0.000004717537],"category_scores_gemma":[5.8163344e-8,0.00011441699,0.000035747737,0.00018991175,0.00001114379,0.000041632145,0.000014004753,0.000094870775,0.00020305067],"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":[0.0000018797372,0.000080274716,0.0009041738,0.000043242435,0.000013488536,0.0000043275672,0.00008938685,0.866816,0.07309546,0.002449776,0.004764434,0.051737558],"study_design_scores_gemma":[0.00040358794,0.0000033674048,0.001990475,0.000008415839,0.0000041862427,0.000010414545,0.000008278539,0.061725058,0.0023954315,0.00091490126,0.932338,0.00019789736],"about_ca_topic_score_codex":0.000033106284,"about_ca_topic_score_gemma":0.00004450916,"teacher_disagreement_score":0.951552,"about_ca_system_score_codex":0.000047561007,"about_ca_system_score_gemma":0.0000037937536,"threshold_uncertainty_score":0.46657893},"labels":[],"label_agreement":null},{"id":"W2998055963","doi":"10.18280/i2m.180609","title":"A Novel Fuzzy Fusion Algorithm of Multi-sensor Data and Its Application in Coalmine Gas Monitoring","year":2019,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sensor fusion; Fuzzy logic; Data mining; Computer science; Algorithm; Artificial intelligence; Pattern recognition (psychology)","score_opus":0.03442656745404695,"score_gpt":0.29280961057379623,"score_spread":0.2583830431197493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998055963","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":[0.9509547,0.00054711907,0.04723078,0.000047859365,0.00034149204,0.00057941343,0.00009382568,0.00009766732,0.000107150714],"genre_scores_gemma":[0.9881954,0.00016835233,0.011430547,0.0000071854597,0.00005603197,0.000026396077,0.00007960893,0.000018341356,0.000018141513],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990679,0.00002684661,0.0003361018,0.00025120092,0.0001470935,0.00017084747],"domain_scores_gemma":[0.99947774,0.00006213509,0.00008596414,0.0003021323,0.000037759066,0.000034273588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001955865,0.00013191302,0.0002251392,0.00010132864,0.000018917422,0.000010396184,0.00015946136,0.00008822931,0.0000031114816],"category_scores_gemma":[0.000025083446,0.00013258804,0.00001689593,0.0001358854,0.000012943703,0.000259134,0.000053193184,0.00011107448,0.000011319084],"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":[0.000030371857,0.00003842455,0.0514828,0.00008654781,0.000025674733,0.0000012163006,0.00017850332,0.015560883,0.8167153,0.000026907344,0.0000031960521,0.11585014],"study_design_scores_gemma":[0.0038806808,0.00007344883,0.0749474,0.000056814835,0.00002124867,0.000012175663,0.0005664996,0.8851795,0.03476487,0.000051482475,0.000212843,0.0002329933],"about_ca_topic_score_codex":0.00003908166,"about_ca_topic_score_gemma":0.000014095149,"teacher_disagreement_score":0.86961865,"about_ca_system_score_codex":0.000046839155,"about_ca_system_score_gemma":0.000007829927,"threshold_uncertainty_score":0.5406783},"labels":[],"label_agreement":null},{"id":"W2999585159","doi":"10.1061/9780784480915.522","title":"Review and Discussion on Driving Workload Quantification in Traffic Safety","year":2018,"lang":"en","type":"article","venue":"CICTP 2017","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Guangxi University; National Natural Science Foundation of China; University of Saskatchewan","keywords":"Workload; Computer science; Task (project management); Quantitative assessment; Simulation; Reliability engineering; Engineering; Systems engineering","score_opus":0.015261823614204922,"score_gpt":0.26061517966942166,"score_spread":0.24535335605521674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999585159","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":[0.6565776,0.2337333,0.03075347,0.004297775,0.0041785245,0.003697347,0.000029743438,0.0016400699,0.065092206],"genre_scores_gemma":[0.994176,0.0053769713,0.000041686915,0.00005198084,0.000099203426,0.000008779307,0.0000027161714,0.000012293316,0.00023041636],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995197,0.000021086185,0.00016066,0.00012657157,0.000049394977,0.00012256448],"domain_scores_gemma":[0.9996947,0.000020809592,0.000025454472,0.00021237019,0.00001132008,0.000035342786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011987212,0.000081944025,0.00015413585,0.000034103396,0.00008163349,0.000010334919,0.00005905297,0.000037773134,0.000009124486],"category_scores_gemma":[0.00002995729,0.000056968183,0.000018374396,0.000067508736,0.000021214197,0.000073746,0.000008954267,0.00007609958,0.000070313814],"study_design_candidate":"design_other","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":[0.000047254078,0.000056134595,0.001778833,0.0014466087,0.000035748908,0.0000080780455,0.0017011962,0.0079195155,0.012682681,0.0005351246,0.0087192105,0.9650696],"study_design_scores_gemma":[0.002980747,0.00029615322,0.1766272,0.029174477,0.0001538418,0.000043016676,0.00040664122,0.16372664,0.0014745162,0.0003280198,0.62295777,0.0018309697],"about_ca_topic_score_codex":0.0000012613881,"about_ca_topic_score_gemma":0.00004030216,"teacher_disagreement_score":0.96323866,"about_ca_system_score_codex":0.000027482234,"about_ca_system_score_gemma":0.0000022646793,"threshold_uncertainty_score":0.2323095},"labels":[],"label_agreement":null},{"id":"W3126241512","doi":"10.2316/j.2021.201-0217","title":"AN EARLY GEAR FAULT DIAGNOSIS METHOD BASED ON RLMD, HILBERT TRANSFORM AND CEPSTRUM ANALYSIS","year":2021,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cepstrum; Hilbert transform; Fault (geology); Computer science; Speech recognition; Mathematics; Geology; Computer vision; Seismology","score_opus":0.004796125885523951,"score_gpt":0.2186655454422047,"score_spread":0.21386941955668076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126241512","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":[0.13441247,0.011708172,0.85069495,0.00028019372,0.00050770334,0.00080848223,0.00018770379,0.0003433224,0.0010570086],"genre_scores_gemma":[0.9988168,0.0001604038,0.00029806455,0.00009461645,0.00016777964,0.00024785483,0.0000184089,0.000051560128,0.00014450074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99806625,0.00021949588,0.00044093071,0.0004960245,0.00029127215,0.00048604424],"domain_scores_gemma":[0.99890566,0.00024584553,0.000060757506,0.0004750628,0.00006524455,0.00024742985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003496188,0.00033806125,0.0008580548,0.0001847718,0.00013475548,0.00018511625,0.000107514046,0.00018273285,0.00003055589],"category_scores_gemma":[0.000014728219,0.00030519583,0.00020688321,0.00031835912,0.000019027511,0.00017860065,0.000005610707,0.00020361537,0.0000050143103],"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":[0.0002722205,0.00018632716,0.019496815,0.0005986742,0.0043140226,0.00016266067,0.000911764,0.8452242,0.01313818,0.008253267,0.000059400303,0.107382454],"study_design_scores_gemma":[0.0029413037,0.00021560141,0.0017360004,0.000056545243,0.0008027533,0.000015122129,0.0005337848,0.98954535,0.0006938223,0.00008350876,0.0029746825,0.00040152215],"about_ca_topic_score_codex":0.00043433896,"about_ca_topic_score_gemma":0.00026453176,"teacher_disagreement_score":0.8644043,"about_ca_system_score_codex":0.00008210829,"about_ca_system_score_gemma":0.000024470055,"threshold_uncertainty_score":0.99994004},"labels":[],"label_agreement":null},{"id":"W3161517354","doi":"10.18280/i2m.200205","title":"Error Correction of Weak Current Measurement System Based on Wavelet Denoising and Generalized Regression Neural Network","year":2021,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mean squared error; Artificial neural network; Noise reduction; Interference (communication); Wavelet; Algorithm; Observational error; Noise (video); Current (fluid); Computer science; Error detection and correction; Generalization; Backpropagation; Mathematics; Pattern recognition (psychology); Channel (broadcasting); Statistics; Artificial intelligence; Engineering; Telecommunications; Electrical engineering","score_opus":0.034338277028979784,"score_gpt":0.2709765342621395,"score_spread":0.23663825723315973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161517354","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":[0.9395269,0.0030210512,0.04840916,0.00013164582,0.007081813,0.0005020188,0.000017969534,0.00043382373,0.0008755862],"genre_scores_gemma":[0.9988427,0.00004592884,0.00081121566,0.000032969318,0.00017009594,0.000026795748,0.000038022146,0.000022809445,0.00000944791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984775,0.00025396163,0.00040325,0.00023245922,0.000400769,0.00023205971],"domain_scores_gemma":[0.9994177,0.000066989785,0.00013198672,0.00019628741,0.00012799905,0.000059030466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033114842,0.00019138317,0.0003050605,0.00006510109,0.000096091084,0.000029022802,0.000054457712,0.0000882293,0.000007965768],"category_scores_gemma":[0.00005035971,0.0001693366,0.000064011445,0.00016339151,0.000021245804,0.0000918748,0.000012393144,0.00016729815,0.000002032675],"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":[0.000177629,0.00002730314,0.003942064,0.00022385565,0.00004961499,0.0000084268695,0.000070126545,0.85948473,0.04356572,0.00011370561,0.0006423495,0.09169449],"study_design_scores_gemma":[0.0023968183,0.0001265991,0.010684695,0.00043320877,0.00007116746,0.000017655855,0.00036477484,0.9635926,0.021102943,0.00003105049,0.00093892484,0.00023957418],"about_ca_topic_score_codex":0.000008086559,"about_ca_topic_score_gemma":0.000020256557,"teacher_disagreement_score":0.10410787,"about_ca_system_score_codex":0.00020985599,"about_ca_system_score_gemma":0.000028332975,"threshold_uncertainty_score":0.69053465},"labels":[],"label_agreement":null},{"id":"W3164842029","doi":"10.11159/rtese21.120","title":"Source Identification of Continuous Discharge Pollution in RiverAccidents Based On A DREAM Inverse Method","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Recent Trends in Environmental Science and Engineering","topic":"Advanced Sensor and Control Systems","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":"Concordia University","funders":"","keywords":"Identification (biology); Dream; Pollution; Inverse; Environmental science; Computer science; River pollution; Mathematics","score_opus":0.012133426537498708,"score_gpt":0.23206620116848614,"score_spread":0.21993277463098743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164842029","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":[0.99758905,0.000022726126,0.0012443813,0.000110249275,0.00015193292,0.000054300588,0.000010828921,0.000007415014,0.00080910005],"genre_scores_gemma":[0.999418,0.000074289164,0.00044903994,0.0000069916714,0.0000064503506,0.0000050358385,0.0000019468353,0.000005040967,0.000033156462],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990951,0.0000030941562,0.0002772834,0.00014066316,0.00037951453,0.00010437204],"domain_scores_gemma":[0.9997738,0.000014210634,0.00009295522,0.000055034525,0.00004074479,0.000023247268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026708093,0.00007713851,0.00013014232,0.00022419302,0.000013148651,0.000014778429,0.00021704282,0.000025651758,0.000021710652],"category_scores_gemma":[0.000076455646,0.00007038815,0.000025900054,0.0003062294,0.000063869,0.00022978778,0.000050636132,0.00007943695,2.0567678e-7],"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":[0.000010730035,0.000040076797,0.019442722,0.000019948737,0.000005175885,1.4387902e-7,0.00021746858,0.071563005,0.8965232,0.0004874404,0.0000021870737,0.011687936],"study_design_scores_gemma":[0.00035072165,0.000013548854,0.12090568,0.000124676,0.000004053881,0.0000022143106,0.000397189,0.5261388,0.3518721,0.000050916893,0.00006923422,0.00007092101],"about_ca_topic_score_codex":0.000015847374,"about_ca_topic_score_gemma":0.0000068085164,"teacher_disagreement_score":0.5446511,"about_ca_system_score_codex":0.00016123548,"about_ca_system_score_gemma":0.000008760026,"threshold_uncertainty_score":0.28703457},"labels":[],"label_agreement":null},{"id":"W3186841277","doi":"10.23977/aetp.2021.55002","title":"Higher education evaluation system based on BP neural network","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal component analysis; Raw data; Artificial neural network; Construct (python library); Dimension (graph theory); Computer science; Higher education; Component (thermodynamics); Artificial intelligence; Machine learning; Mathematics; Economic growth; Economics","score_opus":0.011998493194217695,"score_gpt":0.32265203308648266,"score_spread":0.31065353989226496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186841277","genre_codex":"other","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":[0.3234729,0.2631395,0.008872556,0.036417652,0.04021159,0.0015145406,0.000024258805,0.0011998903,0.32514715],"genre_scores_gemma":[0.99684954,0.00020407034,0.0011996392,0.0008459349,0.0003434966,0.0002571913,0.00004312734,0.000015358242,0.0002416439],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991154,0.000075461125,0.0002234486,0.00028199848,0.0000988588,0.00020484887],"domain_scores_gemma":[0.9994554,0.00011944098,0.000043246837,0.0002636547,0.00008814168,0.000030101703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012638686,0.00012585308,0.0001650007,0.0002292979,0.00006044118,0.0000067973765,0.00008812887,0.00018732775,0.00009907368],"category_scores_gemma":[0.000026745989,0.00013509653,0.000020205793,0.00055825565,0.00006798471,0.000106040265,0.0000064204096,0.00021771983,0.000018775696],"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":[0.000053894917,0.00022153415,0.033116214,0.00011480884,0.000023677307,0.0000059563304,0.000031924366,0.31854784,0.0005338082,0.48305944,0.001935916,0.16235499],"study_design_scores_gemma":[0.003035435,0.00020981651,0.15993328,0.00039963174,0.00006375083,0.0003184076,0.0005271645,0.11023789,0.000193401,0.3553865,0.3688014,0.0008933579],"about_ca_topic_score_codex":5.9456414e-7,"about_ca_topic_score_gemma":0.000010984414,"teacher_disagreement_score":0.6733767,"about_ca_system_score_codex":0.000091501424,"about_ca_system_score_gemma":0.000065468834,"threshold_uncertainty_score":0.5509077},"labels":[],"label_agreement":null},{"id":"W3197327331","doi":"10.7939/r3-1sgt-6q26","title":"Hydrogen Sulfide Generation and Control in Sewer Systems with Drop Structures and Pump Stations","year":2021,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydrogen sulfide; Environmental science; Drop (telecommunication); Engineering; Materials science; Metallurgy; Telecommunications; Sulfur","score_opus":0.003689024908103587,"score_gpt":0.14455616720771244,"score_spread":0.14086714229960887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197327331","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":[0.9942593,0.0009407236,0.0032434831,0.00008545725,0.000031323783,0.00010431634,0.000012631018,0.000033738863,0.0012890457],"genre_scores_gemma":[0.99906784,0.0000812789,0.00021532245,0.000015132713,0.00001810942,1.6957802e-7,0.000024567702,0.0000112324415,0.0005663141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999683,0.000027536567,0.000067749046,0.00009944615,0.00004763389,0.00007463307],"domain_scores_gemma":[0.99979526,0.000056403594,0.000019456056,0.00007576973,0.000011997224,0.00004111633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000009562115,0.00006443731,0.00013278704,0.00004738642,0.00003418352,0.000017527786,0.000028741779,0.000035843,0.000010556493],"category_scores_gemma":[0.0000028842794,0.00006793104,0.00001004999,0.00007024661,0.000026226047,0.0003717128,0.000010701365,0.000044046774,5.0673555e-7],"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":[0.00030632556,0.000064822976,0.26219663,0.0006897884,0.0007733977,0.00043616444,0.017417345,0.58480746,0.10290734,0.027594985,0.0010608118,0.0017449094],"study_design_scores_gemma":[0.0077805687,0.00012252477,0.029512424,0.00017041621,0.00014691983,0.00013160807,0.013193847,0.9248035,0.0078607295,0.00042759726,0.015143115,0.00070675625],"about_ca_topic_score_codex":0.00033055307,"about_ca_topic_score_gemma":0.0005643309,"teacher_disagreement_score":0.339996,"about_ca_system_score_codex":0.0000074132076,"about_ca_system_score_gemma":0.00001565377,"threshold_uncertainty_score":0.27701473},"labels":[],"label_agreement":null},{"id":"W3198159315","doi":"10.23977/acss.2021.050105","title":"Research on Deep Neural Network Solution of Ordinary Differential Equations and Its Application","year":2021,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Ordinary differential equation; Computer science; Discretization; Mathematics; Differential equation; Boundary value problem; Solution set; Numerical partial differential equations; Set (abstract data type); Applied mathematics; Algorithm; Mathematical analysis; Artificial intelligence","score_opus":0.03243831504456443,"score_gpt":0.3020030548514723,"score_spread":0.26956473980690787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198159315","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":[0.11570254,0.044957425,0.8381652,0.000016235983,0.0006028795,0.00030574645,0.0000049016967,0.000039345112,0.00020572057],"genre_scores_gemma":[0.9987856,0.000555798,0.00018415201,0.000005010306,0.00038746718,0.00004885686,0.000008898578,0.000011601813,0.00001259697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989553,0.00015857768,0.00029560382,0.00020532965,0.000177081,0.00020807101],"domain_scores_gemma":[0.99934685,0.00034571887,0.000041493,0.00012927827,0.00009277809,0.00004385021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019604719,0.00009849063,0.00023964264,0.00006946135,0.00007537757,0.000029850169,0.000057448244,0.000053950094,0.0000013515464],"category_scores_gemma":[0.0000062212443,0.000094409734,0.000020530599,0.0002182817,0.000019590014,0.00015864756,0.000034023928,0.00013052522,0.00000135827],"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":[0.00001313241,0.00001747428,0.00024591832,0.00020486045,0.000012329224,0.000004779324,0.000082928316,0.95616055,0.005509209,0.004905825,0.000012474657,0.032830548],"study_design_scores_gemma":[0.00028563838,0.000068546404,0.0005643452,0.00013338524,0.0000033993633,0.000009588606,0.000053718126,0.99784094,0.00017564118,0.0004129098,0.0003613077,0.00009060498],"about_ca_topic_score_codex":0.000007759584,"about_ca_topic_score_gemma":0.000026584958,"teacher_disagreement_score":0.8830831,"about_ca_system_score_codex":0.000021897333,"about_ca_system_score_gemma":0.0000040813493,"threshold_uncertainty_score":0.38499174},"labels":[],"label_agreement":null},{"id":"W3207511569","doi":"10.23977/jeis.2021.060205","title":"Research and Application of Intelligent Robot Electronic Coach System Based on AI Technology","year":2021,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coaching; Robot; Engineering; Electronics; Control (management); Position (finance); Computer science; Electrical engineering; Business; Artificial intelligence","score_opus":0.007316021954753917,"score_gpt":0.27298830242522476,"score_spread":0.26567228047047087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207511569","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":[0.197212,0.0037432988,0.79584277,0.0004748991,0.00010767122,0.00020675312,0.0000020327466,0.000031136882,0.0023794724],"genre_scores_gemma":[0.9991833,0.00057529134,0.00019784433,0.000023248336,0.000012243982,0.0000026792338,6.062232e-7,0.0000026077955,0.000002191225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989798,0.000013383859,0.00035473693,0.000054983822,0.00037136735,0.00022575019],"domain_scores_gemma":[0.99894196,0.00004294168,0.00011877655,0.0001131766,0.0007362388,0.00004688978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009995723,0.000052168896,0.00013210968,0.00047174902,0.000090597554,0.000050514886,0.00011781965,0.00004141082,5.9660243e-7],"category_scores_gemma":[0.000055767654,0.000044395805,0.000015176937,0.00085942325,0.00009857206,0.0007217478,0.000014160823,0.00029748533,0.0000010382712],"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":[0.000069633694,0.000036818277,0.00036410056,0.0002688438,0.000021748272,0.0000014287494,0.00023688196,0.28641817,0.14651477,0.48923883,0.000034017536,0.076794736],"study_design_scores_gemma":[0.00034163025,0.0005120743,0.00021524598,0.00006537111,0.000005008179,0.0001204519,0.0008164312,0.91084,0.07761816,0.0007765403,0.00861764,0.000071474],"about_ca_topic_score_codex":8.812688e-7,"about_ca_topic_score_gemma":0.0000016972887,"teacher_disagreement_score":0.8019713,"about_ca_system_score_codex":0.00021586368,"about_ca_system_score_gemma":0.00023780118,"threshold_uncertainty_score":0.18104084},"labels":[],"label_agreement":null},{"id":"W3211474881","doi":"10.18280/jesa.540511","title":"Machine Learning for Monitoring of the Solenoid Valves Coil Resistance Based on Optical Fiber Squeezer","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electromagnetic coil; Armature (electrical engineering); Solenoid; Solenoid valve; Voice coil; Transfer function; Optical fiber; Actuator; Computer science; Mechanical engineering; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.012294058155291953,"score_gpt":0.233845949486906,"score_spread":0.22155189133161407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211474881","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":[0.6222612,0.03181408,0.27832356,0.0011494604,0.007874396,0.0016123578,0.00013959598,0.0015940947,0.05523119],"genre_scores_gemma":[0.98615545,0.00007474479,0.009264009,0.00001854943,0.00041346825,0.00001225493,0.0000017213057,0.00007894276,0.0039808643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983969,0.00018068866,0.0005374075,0.00015995908,0.00039533057,0.00032974457],"domain_scores_gemma":[0.9988869,0.00036835438,0.00017617227,0.0002688804,0.00020401194,0.00009568076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028081253,0.0002096253,0.00037146916,0.000060869625,0.0002774795,0.000095302916,0.00020830223,0.00007179912,0.000035555277],"category_scores_gemma":[0.00038737577,0.00015601299,0.00027896033,0.00019139177,0.000049755112,0.00011269373,0.000024343297,0.0004121575,0.000010105418],"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":[0.00009089227,0.000058042227,0.00290406,0.00088128744,0.000196517,0.000078824494,0.00029652502,0.90167505,0.040397987,0.0006856692,0.00043965736,0.052295476],"study_design_scores_gemma":[0.0032507181,0.00023076416,0.13138646,0.0037529431,0.00021251687,0.0003278386,0.00029791743,0.7811157,0.055346694,0.0018089255,0.021521641,0.0007478419],"about_ca_topic_score_codex":0.0000016007889,"about_ca_topic_score_gemma":0.0000048969155,"teacher_disagreement_score":0.3638942,"about_ca_system_score_codex":0.0001480567,"about_ca_system_score_gemma":0.000056733188,"threshold_uncertainty_score":0.6362025},"labels":[],"label_agreement":null},{"id":"W3214209264","doi":"10.23977/jemm.2021.060111","title":"Design of condenser air filter integrated device for self-cleaning agricultural air conditioning","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Condenser (optics); Air conditioning; Agriculture; Engineering; Filter (signal processing); Environmental science; Environmental engineering; Mechanical engineering; Electrical engineering","score_opus":0.008001437587838355,"score_gpt":0.1964558832590341,"score_spread":0.18845444567119574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214209264","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":[0.08782729,0.0014470677,0.90984696,0.000028960056,0.00062949624,0.00010842017,0.000018563629,0.00006627114,0.000026977443],"genre_scores_gemma":[0.9673515,0.00008560376,0.03231122,0.00003122645,0.00014480673,0.0000042307433,0.0000097772945,0.00003265743,0.000028991102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991673,0.000020317908,0.0004313096,0.00008807248,0.00012011518,0.0001728692],"domain_scores_gemma":[0.9992661,0.00018023884,0.00012630384,0.000074485724,0.00027494846,0.00007790753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021099455,0.00016371752,0.00036247246,0.000084351945,0.0000346349,0.000017707156,0.000069397705,0.00007519675,0.0000062930426],"category_scores_gemma":[0.0000815577,0.0001345327,0.00010301431,0.00011845658,0.0000023712478,0.00015778175,0.000013083829,0.00021700836,3.0608228e-7],"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":[0.000011903475,0.000009466527,0.0000030028164,0.00014080305,0.0001650072,0.000017141405,0.00012450492,0.6699747,0.328017,0.0012003697,0.00013292166,0.00020321422],"study_design_scores_gemma":[0.0011637742,0.00013328962,0.00009835939,0.00032866508,0.00012522294,0.0004925109,0.0003774168,0.9497609,0.045319226,0.0003191676,0.0016158517,0.0002655911],"about_ca_topic_score_codex":0.0000013005888,"about_ca_topic_score_gemma":0.0000010012358,"teacher_disagreement_score":0.8795242,"about_ca_system_score_codex":0.000041819134,"about_ca_system_score_gemma":0.000021498277,"threshold_uncertainty_score":0.5486084},"labels":[],"label_agreement":null},{"id":"W4206890689","doi":"","title":"Introduction to special issue on Embedded Computing and Systems","year":2014,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Data science","score_opus":0.005360188610000256,"score_gpt":0.20148206323750417,"score_spread":0.1961218746275039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206890689","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":[0.20540532,0.00032486653,0.6048505,0.0045678155,0.0021057583,0.0006233464,0.000010626107,0.0007722793,0.18133953],"genre_scores_gemma":[0.9914193,0.00002298215,0.003341196,0.000044436023,0.0019070132,0.00000915122,0.000018782199,0.00003125906,0.0032058894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982395,0.000839767,0.00024688878,0.00028907348,0.00017365316,0.00021111999],"domain_scores_gemma":[0.9985465,0.0003966918,0.00005810957,0.00058741483,0.00028854964,0.00012275677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014400039,0.00014377384,0.0001991494,0.00009177507,0.00016110046,0.00015104622,0.00018086174,0.000060562357,0.000032476913],"category_scores_gemma":[0.0004245799,0.00015204705,0.00003318943,0.00018620415,0.000031687443,0.00007626601,0.000049950784,0.00013883387,0.00011440693],"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":[0.00004667741,0.00021584946,0.0006551101,0.00033914228,0.00011386701,0.000003543171,0.023947861,0.08942004,0.060429122,0.21028718,0.041594744,0.57294685],"study_design_scores_gemma":[0.00062693225,0.0000014497265,0.0009812111,0.00038053887,0.0000135194605,0.000016392332,0.00044888174,0.4312086,0.01615346,0.00016683592,0.5496232,0.00037894817],"about_ca_topic_score_codex":0.00005721968,"about_ca_topic_score_gemma":0.000073952375,"teacher_disagreement_score":0.78601396,"about_ca_system_score_codex":0.000051095936,"about_ca_system_score_gemma":0.000005271543,"threshold_uncertainty_score":0.62002987},"labels":[],"label_agreement":null},{"id":"W4230444356","doi":"10.1139/tcsme-2013-0100","title":"HYDRAULIC SYSTEM FAULT DIAGNOSIS BASED ON EMD AND IMPROVED PSO-ELMAN ANN","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Fault (geology); Artificial neural network; Particle swarm optimization; Rate of convergence; Convergence (economics); Computer science; Hydraulic machinery; Artificial intelligence; SIGNAL (programming language); Probabilistic neural network; Control theory (sociology); Algorithm; Pattern recognition (psychology); Engineering; Time delay neural network; Channel (broadcasting)","score_opus":0.005313805270355039,"score_gpt":0.17161293933717064,"score_spread":0.1662991340668156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230444356","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":[0.029377064,0.00034028053,0.96475583,0.0009770985,0.0012809946,0.0021576583,0.00032751518,0.00055276486,0.00023077738],"genre_scores_gemma":[0.9970696,0.000008421147,0.0023008091,0.00009387807,0.000049346516,0.00038307652,0.0000028211275,0.00005358844,0.000038439415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999149,0.0000071744657,0.00023189202,0.00016008694,0.000108989676,0.000342834],"domain_scores_gemma":[0.9992833,0.000118239564,0.000024552735,0.00027757158,0.000042697535,0.0002536306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008375306,0.00018325022,0.00023619436,0.000047869835,0.00016560672,0.000029808527,0.000164713,0.00015791433,0.000011933256],"category_scores_gemma":[0.000014166503,0.00016216293,0.0003669757,0.00015889507,0.000018023084,0.0000863788,0.0000021076228,0.00021115935,0.0000021135377],"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":[0.0000033530607,0.000010395177,0.0000042603974,0.0005153888,0.00016437251,2.573995e-7,0.00011380764,0.98127425,0.0128643215,0.0007492332,0.00022941869,0.004070916],"study_design_scores_gemma":[0.00043785086,0.000040451123,0.00004372271,0.000094655756,0.000054498578,0.0000024226476,0.00013596177,0.99194896,0.0053291633,0.000019715697,0.0017166841,0.0001759147],"about_ca_topic_score_codex":0.005857101,"about_ca_topic_score_gemma":0.004052172,"teacher_disagreement_score":0.96769255,"about_ca_system_score_codex":0.00032432185,"about_ca_system_score_gemma":0.000030497667,"threshold_uncertainty_score":0.8854224},"labels":[],"label_agreement":null},{"id":"W4235269769","doi":"10.32920/ryerson.14668224","title":"Short term stock price forecasting with application of neural network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Sensor and Control Systems","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":"Toronto Metropolitan University","funders":"","keywords":"Stock market; Stock price; Stock (firearms); Artificial neural network; Cost price; Econometrics; Stock market bubble; Principal component analysis; Financial economics; Time series; Economics; Computer science; Artificial intelligence; Machine learning; Engineering; Series (stratigraphy)","score_opus":0.015610115426859824,"score_gpt":0.21922716404730347,"score_spread":0.20361704862044364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235269769","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":[0.2317157,0.0005260151,0.7574999,0.000004599207,0.0002519799,0.0005561957,0.000004167211,0.00025820968,0.009183261],"genre_scores_gemma":[0.99403006,0.00000901111,0.005349325,0.0000057677476,0.00031945753,0.00010723535,0.000051934257,0.000046584897,0.00008060922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990838,0.000013220201,0.00030123236,0.00024125529,0.00014978104,0.00021068117],"domain_scores_gemma":[0.99937886,0.00003757191,0.00006531808,0.00039701303,0.00007653046,0.000044734872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005580887,0.00020185356,0.0003609815,0.000025444846,0.000022944221,0.000025568628,0.00013664148,0.0001235802,0.000005376098],"category_scores_gemma":[0.0000036692602,0.00017651974,0.00006814176,0.000099102384,0.0000113605465,0.00004637466,0.00007845831,0.00028092778,5.8711686e-7],"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":[0.0000069866437,0.0000047525127,0.004981232,0.0002854607,0.000067499204,0.0000034483999,0.000061286744,0.96963197,0.00087204325,0.000034535053,0.000017307515,0.024033492],"study_design_scores_gemma":[0.000106823696,0.000014121912,0.005026586,0.00014608656,0.00003584966,0.000017642897,0.00007089672,0.9939224,0.00028163206,0.000027999296,0.00010833128,0.00024163947],"about_ca_topic_score_codex":0.00002334017,"about_ca_topic_score_gemma":0.000060317332,"teacher_disagreement_score":0.7623144,"about_ca_system_score_codex":0.000043451986,"about_ca_system_score_gemma":0.00001073065,"threshold_uncertainty_score":0.71982664},"labels":[],"label_agreement":null},{"id":"W4241539411","doi":"10.23952/jnva.5.2021.2.01","title":"The analysis from nonlinear distance metric to kernel-based prescription prediction system","year":2021,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Georgetown University; National Science Foundation","keywords":"Kernel (algebra); Metric (unit); Nonlinear system; Mathematics; Medical prescription; Artificial intelligence; Computer science; Pattern recognition (psychology); Statistics; Medicine; Physics; Combinatorics; Engineering; Pharmacology","score_opus":0.005793739768867205,"score_gpt":0.21186253568125837,"score_spread":0.20606879591239116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241539411","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":[0.07665454,0.0019879548,0.92024606,0.00021556225,0.00032586188,0.000060686474,0.00038560925,0.000033928314,0.00008978922],"genre_scores_gemma":[0.9880921,0.00009593574,0.010852563,0.00003276394,0.00067535153,0.0000036572706,0.00014681653,0.000011916235,0.00008887461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983942,0.00010419073,0.00068810314,0.0001645948,0.0005068777,0.00014204934],"domain_scores_gemma":[0.9985506,0.00032191616,0.00022086929,0.0002030255,0.00056919054,0.00013442786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037899864,0.00013547331,0.00046051794,0.0004865866,0.0001583695,0.00013119026,0.000117121315,0.00006409705,0.000019099538],"category_scores_gemma":[0.0001335477,0.000099486366,0.00044831177,0.0029400093,0.00001163985,0.0001435064,0.000012204821,0.0001534033,0.0000033735503],"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":[0.00005847849,0.00003192144,0.015394387,0.000013974172,0.0068598944,0.000011964314,0.00005858328,0.9754851,0.0008792892,0.00013413085,0.00004187133,0.0010304207],"study_design_scores_gemma":[0.00033697052,0.000018701972,0.09026542,0.000014524098,0.004985229,0.0000040599502,0.00015595768,0.90086406,0.00013213689,0.000025653986,0.0031070858,0.00009017307],"about_ca_topic_score_codex":0.000040614217,"about_ca_topic_score_gemma":0.00017523114,"teacher_disagreement_score":0.9114376,"about_ca_system_score_codex":0.00014140451,"about_ca_system_score_gemma":0.0000452821,"threshold_uncertainty_score":0.40569362},"labels":[],"label_agreement":null},{"id":"W4242065846","doi":"10.1520/stp49062s","title":"Comparisons of Temperature and Heat Flux in Furnaces Controlled by Different Types of Temperature Sensors","year":2010,"lang":"en","type":"book-chapter","venue":"ASTM International eBooks","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Heat flux; Materials science; Flux (metallurgy); Environmental science; Mechanics; Metallurgy; Heat transfer; Physics","score_opus":0.004884272944450926,"score_gpt":0.20319288313528933,"score_spread":0.1983086101908384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242065846","genre_codex":"other","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":[0.40501592,0.0055389367,0.00007661142,0.00014660155,0.0024398738,0.0012916287,0.0012827433,0.00013446485,0.58407325],"genre_scores_gemma":[0.912412,0.00007058248,0.000051268948,0.000017163928,0.00015122806,0.000013588326,0.00008142644,0.000050779858,0.087152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873865,0.000015790398,0.00058657344,0.00021498324,0.00030319399,0.00014080208],"domain_scores_gemma":[0.99934936,0.00013684628,0.00013691068,0.0001796544,0.00013771708,0.00005951755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000058422684,0.00034234958,0.00090065395,0.00018938094,0.000020245003,0.000023003982,0.00018005805,0.00041987852,0.000079551515],"category_scores_gemma":[0.000016831396,0.0002840732,0.00014572564,0.000008640837,0.000093332026,0.00003360425,0.00003192703,0.00067970436,0.0000026749708],"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":[0.00047761804,0.000037059726,0.00026451945,0.00022081025,0.001072325,0.000016185897,0.00043842162,0.0021374824,0.9724238,0.020597987,0.0017225218,0.0005912641],"study_design_scores_gemma":[0.06311702,0.001132668,0.0036639413,0.009804359,0.0012389441,0.00035802918,0.0012050545,0.03366456,0.48450384,0.014370077,0.38023773,0.0067037847],"about_ca_topic_score_codex":0.000019846073,"about_ca_topic_score_gemma":0.00016105751,"teacher_disagreement_score":0.50739604,"about_ca_system_score_codex":0.00003913865,"about_ca_system_score_gemma":0.000014283345,"threshold_uncertainty_score":0.99996114},"labels":[],"label_agreement":null},{"id":"W4242174559","doi":"10.1155/2014/182382","title":"Advanced Sensor Technology and Applications in Industrial Control System 2014","year":2014,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Control (management); Wireless sensor network; Embedded system; Real-time computing; Artificial intelligence; Computer network","score_opus":0.004127067650361733,"score_gpt":0.2051725585289642,"score_spread":0.2010454908786025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242174559","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":[0.12210296,0.0009036082,0.87424976,0.00028238705,0.0014995146,0.00032067168,0.00012358588,0.00014723191,0.00037029918],"genre_scores_gemma":[0.9984465,0.00007377761,0.00033466742,0.000020276706,0.0010488459,0.000014143143,0.000028446357,0.000024457828,0.000008876701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985633,0.00006709921,0.00071644154,0.00014763801,0.00025601598,0.00024953156],"domain_scores_gemma":[0.9989299,0.0002440082,0.00026761345,0.00014723749,0.00030615192,0.00010504977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023274234,0.00018673958,0.0004215875,0.00035808067,0.000036944282,0.000046164812,0.000276957,0.00022468637,0.0000043833443],"category_scores_gemma":[0.000085324566,0.00017330247,0.00008079836,0.00024573665,0.000052152544,0.00013394978,0.000019083329,0.00049356354,0.0000040298696],"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":[0.00015342762,0.000030779072,0.011641514,0.000013360311,0.00021497652,0.000045092933,0.000016109005,0.9666316,0.0017943573,0.0032861598,0.0002850886,0.015887542],"study_design_scores_gemma":[0.015512256,0.00023751755,0.006411136,0.0005693892,0.00013602742,0.0011636968,0.0015930053,0.9041452,0.00054590654,0.0005788714,0.0683448,0.0007622294],"about_ca_topic_score_codex":0.000003005893,"about_ca_topic_score_gemma":0.0000047382914,"teacher_disagreement_score":0.87634355,"about_ca_system_score_codex":0.00019170324,"about_ca_system_score_gemma":0.000011951265,"threshold_uncertainty_score":0.706707},"labels":[],"label_agreement":null},{"id":"W4244695226","doi":"10.2139/ssrn.3935560","title":"Self-Adapting Anti-Surge Intelligence Control and Numerical Simulation of Centrifugal Compressors Based on RBF Neural Network","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial neural network; Centrifugal compressor; Surge; Computer science; Control (management); Artificial intelligence; Gas compressor; Control engineering; Engineering; Mechanical engineering; Electrical engineering","score_opus":0.006152551695927465,"score_gpt":0.21707012326796654,"score_spread":0.21091757157203908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244695226","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":[0.12480976,0.004628317,0.86971676,0.00006706074,0.00034661777,0.00013670448,0.0000032685923,0.000097019096,0.00019447783],"genre_scores_gemma":[0.99909866,0.0002594014,0.000265767,0.00004007079,0.0002950071,0.0000014359381,0.0000022266724,0.000027974384,0.000009487069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979627,0.00013520282,0.00039407128,0.0001524221,0.00023373542,0.0011218458],"domain_scores_gemma":[0.9992701,0.00031899064,0.000114550254,0.00012319851,0.00008985732,0.000083335835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041211463,0.00016557837,0.000336152,0.000046786823,0.0001082045,0.000032298245,0.000087307584,0.000067153494,0.0000065223508],"category_scores_gemma":[0.000051784515,0.00015974975,0.00009898467,0.00017978331,0.000015556801,0.00010137281,0.000008208737,0.0008787248,0.0000016754985],"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":[0.000055276047,0.000023711715,0.0027816046,0.000017237893,0.00008418312,0.000010376792,0.0000306379,0.98828703,0.00077783945,0.0016011623,0.0000018025908,0.0063291322],"study_design_scores_gemma":[0.0007311998,0.000100177545,0.00057408336,0.000039468803,0.00003570102,0.00007779705,0.00013012749,0.9965309,0.00027013646,0.0011233427,0.0002395681,0.00014748028],"about_ca_topic_score_codex":0.000004102809,"about_ca_topic_score_gemma":0.000010257753,"teacher_disagreement_score":0.87428886,"about_ca_system_score_codex":0.00019640461,"about_ca_system_score_gemma":0.00014177771,"threshold_uncertainty_score":0.65144056},"labels":[],"label_agreement":null},{"id":"W4246246610","doi":"10.32920/ryerson.14668224.v1","title":"Short term stock price forecasting with application of neural network","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Sensor and Control Systems","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":"Toronto Metropolitan University","funders":"","keywords":"Stock market; Stock price; Stock (firearms); Cost price; Artificial neural network; Econometrics; Stock market bubble; Principal component analysis; Time series; Economics; Financial economics; Computer science; Artificial intelligence; Machine learning; Series (stratigraphy); Engineering","score_opus":0.015610115426859824,"score_gpt":0.21922716404730347,"score_spread":0.20361704862044364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246246610","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":[0.2317157,0.0005260151,0.7574999,0.000004599207,0.0002519799,0.0005561957,0.000004167211,0.00025820968,0.009183261],"genre_scores_gemma":[0.99403006,0.00000901111,0.005349325,0.0000057677476,0.00031945753,0.00010723535,0.000051934257,0.000046584897,0.00008060922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990838,0.000013220201,0.00030123236,0.00024125529,0.00014978104,0.00021068117],"domain_scores_gemma":[0.99937886,0.00003757191,0.00006531808,0.00039701303,0.00007653046,0.000044734872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005580887,0.00020185356,0.0003609815,0.000025444846,0.000022944221,0.000025568628,0.00013664148,0.0001235802,0.000005376098],"category_scores_gemma":[0.0000036692602,0.00017651974,0.00006814176,0.000099102384,0.0000113605465,0.00004637466,0.00007845831,0.00028092778,5.8711686e-7],"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":[0.0000069866437,0.0000047525127,0.004981232,0.0002854607,0.000067499204,0.0000034483999,0.000061286744,0.96963197,0.00087204325,0.000034535053,0.000017307515,0.024033492],"study_design_scores_gemma":[0.000106823696,0.000014121912,0.005026586,0.00014608656,0.00003584966,0.000017642897,0.00007089672,0.9939224,0.00028163206,0.000027999296,0.00010833128,0.00024163947],"about_ca_topic_score_codex":0.00002334017,"about_ca_topic_score_gemma":0.000060317332,"teacher_disagreement_score":0.7623144,"about_ca_system_score_codex":0.000043451986,"about_ca_system_score_gemma":0.00001073065,"threshold_uncertainty_score":0.71982664},"labels":[],"label_agreement":null},{"id":"W4246999425","doi":"10.1002/rnc.4786","title":"Cover Image","year":2019,"lang":"en","type":"paratext","venue":"International Journal of Robust and Nonlinear Control","topic":"Advanced Sensor and Control Systems","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 Alberta","funders":"","keywords":"Cover (algebra); Computer science; Image (mathematics); Artificial intelligence; Engineering; Mechanical engineering","score_opus":0.006944086935216201,"score_gpt":0.23280283693706477,"score_spread":0.22585875000184857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246999425","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":[0.007753651,0.04718585,0.56242716,0.0013008557,0.087737426,0.0009129626,0.0024733734,0.000103865015,0.29010484],"genre_scores_gemma":[0.7649021,0.013354504,0.0072529563,0.0011006598,0.033871762,0.000011800736,0.00028489553,0.00040215362,0.17881916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986369,0.000031044685,0.0005953589,0.00012090429,0.0004401911,0.000175579],"domain_scores_gemma":[0.9988225,0.00013300136,0.00030944592,0.000115271076,0.000527455,0.00009232501],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014662842,0.0002508499,0.00058560754,0.0002174156,0.000017480936,0.00011365022,0.00034218706,0.00019414107,0.00078402605],"category_scores_gemma":[0.00003467813,0.00021250977,0.00022483035,0.00003385475,0.000030800165,0.0002316694,0.000019939633,0.0005163486,0.0015972789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005645559,0.000057197747,0.00004567394,0.0001620265,0.0026619788,0.00023568116,0.000095860094,0.42455685,0.0070207254,0.00003144312,0.55641687,0.008151159],"study_design_scores_gemma":[0.004317919,0.000096601056,0.000040411363,0.00030419615,0.00009465249,0.00035241313,0.00002890215,0.108029164,0.00013974914,0.000013593322,0.8862588,0.00032361105],"about_ca_topic_score_codex":0.000003866559,"about_ca_topic_score_gemma":0.0000012414242,"teacher_disagreement_score":0.75714844,"about_ca_system_score_codex":0.00008712666,"about_ca_system_score_gemma":0.00005891621,"threshold_uncertainty_score":0.9991801},"labels":[],"label_agreement":null},{"id":"W4283369533","doi":"10.5772/intechopen.100717","title":"Nonlinear Systems - Recent Developments and Advances","year":2022,"lang":"en","type":"book","venue":"IntechOpen eBooks","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nonlinear system; Automation; Nonlinear control; Computer science; Control (management); Control system; Limit cycle; Control engineering; Control theory (sociology); Industrial engineering; Engineering; Mechanical engineering; Artificial intelligence; Physics","score_opus":0.01034151140768501,"score_gpt":0.21568076047229315,"score_spread":0.20533924906460813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283369533","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":[0.000030907257,0.014724861,0.000752312,0.000004451393,0.0022757417,0.0009036995,0.0001227204,0.00046641444,0.9807189],"genre_scores_gemma":[0.0016785926,0.0021804213,0.0005062425,0.000064181455,0.00041547074,0.00032742808,0.00012284353,0.00023149213,0.99447334],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984072,0.000030242742,0.00051396945,0.00037660616,0.0003444045,0.00032761457],"domain_scores_gemma":[0.9992913,0.00006296216,0.000118217744,0.00035181895,0.00006182401,0.00011386287],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014084869,0.0004265472,0.00060405594,0.00015002658,0.00011983,0.00008841134,0.00033549056,0.00020678536,0.00011875908],"category_scores_gemma":[0.000013450132,0.00043277722,0.00006161264,0.000028081586,0.000047739704,0.000079466314,0.00015426496,0.00064322044,0.00006901213],"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":[0.00014850093,0.00003124205,0.000021574317,0.0025336256,0.0013021037,0.00045989538,0.0012906519,0.004920199,0.0015440944,0.004646875,0.054216947,0.92888427],"study_design_scores_gemma":[0.0003076706,0.00003543267,5.5325427e-7,0.00025388194,0.00002724203,0.000059200902,0.000115817325,0.0005537742,0.000100491205,0.00033027682,0.9977332,0.00048250207],"about_ca_topic_score_codex":0.000008685373,"about_ca_topic_score_gemma":0.000018834311,"teacher_disagreement_score":0.9435162,"about_ca_system_score_codex":0.00048046355,"about_ca_system_score_gemma":0.00009993217,"threshold_uncertainty_score":0.9998124},"labels":[],"label_agreement":null},{"id":"W4302096726","doi":"10.1007/978-3-031-01497-0_4","title":"ower Management Controller Design for the Smart Charger","year":2018,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on advances in automotive technology","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Automotive engineering; Computer science; Fuel cells; Control engineering; Engineering; Torque; Physics","score_opus":0.010252898273242848,"score_gpt":0.22905667090605925,"score_spread":0.2188037726328164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302096726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000012984504,0.04663925,0.5884446,0.00093691907,0.0026948915,0.0067143557,0.00017025697,0.002449321,0.35193744],"genre_scores_gemma":[0.61246026,0.038174395,0.026508832,0.0022967358,0.0024826033,0.014937469,0.000038623803,0.0022700806,0.30083102],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99776983,0.000038045477,0.00055794447,0.00070153206,0.0002712072,0.00066145964],"domain_scores_gemma":[0.9973006,0.0015811366,0.00019668207,0.00076424703,0.000115064344,0.00004222159],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030524132,0.00075419055,0.0009838346,0.0007536722,0.00015217274,0.000026612912,0.0007349614,0.0007285811,0.00031266868],"category_scores_gemma":[0.00022908881,0.00053702213,0.00025690303,0.00012940168,0.00039884803,0.00007676973,0.000054883236,0.00065093505,0.00019903124],"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":[0.00095622713,0.00008148886,0.000006417039,0.00046384224,0.0022677188,0.00009846201,0.00019359017,0.07708709,0.00048099362,0.23937927,0.009246133,0.66973877],"study_design_scores_gemma":[0.0008489219,0.0002098999,0.000008822724,0.0004828874,0.0001675413,0.000011101338,0.000058762722,0.005394091,0.0035291035,0.15282924,0.83571845,0.00074115774],"about_ca_topic_score_codex":4.593079e-7,"about_ca_topic_score_gemma":0.000026061218,"teacher_disagreement_score":0.82647234,"about_ca_system_score_codex":0.00031476328,"about_ca_system_score_gemma":0.000011826211,"threshold_uncertainty_score":0.9997081},"labels":[],"label_agreement":null},{"id":"W4320489203","doi":"10.1007/978-3-031-19354-5_2","title":"AMV Modeling","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in industrial control","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Victoria","funders":"","keywords":"Kinematics; Motion (physics); Dynamics (music); Computer science; Classical mechanics; Physics; Acoustics","score_opus":0.03624128902952227,"score_gpt":0.23394157069595972,"score_spread":0.19770028166643744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320489203","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000045956884,0.01696075,0.024970058,0.00005811263,0.009036688,0.0015863288,0.0003026944,0.0015770544,0.94546235],"genre_scores_gemma":[0.719696,0.00751242,0.000085308144,0.00012293995,0.008304312,0.00025289593,0.000119672884,0.00083018246,0.2630763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782753,0.000021869007,0.00083399424,0.00042880204,0.00036441055,0.0005233889],"domain_scores_gemma":[0.99908435,0.00020819507,0.000117616306,0.0004254478,0.000052524556,0.00011185929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021141977,0.0005403365,0.0009841707,0.0003035945,0.00005019702,0.00003611809,0.00030673927,0.0007994705,0.00007000145],"category_scores_gemma":[0.000087029075,0.00057382014,0.00020615275,0.00008179108,0.00004093021,0.0003048958,0.000024477937,0.0012596395,0.00030421244],"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":[0.000087033164,0.0000027796584,0.000008143358,0.000038148355,0.00008859292,0.000079838734,0.000021063439,0.91008705,0.000033915283,0.019462178,0.00020634051,0.06988492],"study_design_scores_gemma":[0.0068944865,0.000084035266,6.001797e-7,0.00090361305,0.000112303984,0.000008609066,0.00004198332,0.4636101,0.000008048809,0.040740855,0.48626912,0.0013262227],"about_ca_topic_score_codex":0.000015761525,"about_ca_topic_score_gemma":0.00014101827,"teacher_disagreement_score":0.71965003,"about_ca_system_score_codex":0.00022423643,"about_ca_system_score_gemma":0.000036056877,"threshold_uncertainty_score":0.99967134},"labels":[],"label_agreement":null},{"id":"W4323343274","doi":"10.1504/ijmic.2023.10054573","title":"Analysis and control for ultralow frequency oscillation damping caused by asynchronous networking mode","year":2023,"lang":"en","type":"article","venue":"International Journal of Modelling Identification and Control","topic":"Advanced Sensor and Control Systems","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":"British Columbia Institute of Technology","funders":"","keywords":"Oscillation (cell signaling); Mode (computer interface); Asynchronous communication; Automatic frequency control; Control (management); Acoustics; Physics; Control theory (sociology); Computer science; Telecommunications; Biology","score_opus":0.012028847198216175,"score_gpt":0.24886702794858986,"score_spread":0.2368381807503737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323343274","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":[0.10395204,0.0010295048,0.8937948,0.0002510437,0.00064327917,0.00017538904,0.00007850833,0.000060167797,0.000015305686],"genre_scores_gemma":[0.99849784,0.0006437682,0.00030016754,0.000044208395,0.00038717058,0.000016627504,0.000046597917,0.000020409136,0.000043233184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873394,0.000029144794,0.0006308306,0.00015713571,0.00028557633,0.00016339245],"domain_scores_gemma":[0.99895346,0.00023216281,0.0002824961,0.000086505366,0.00036824984,0.000077097444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042443976,0.00012853328,0.00029516526,0.00035569922,0.00008920735,0.00017842167,0.00013198469,0.00006568214,0.0000023026864],"category_scores_gemma":[0.000032136122,0.000130062,0.00013057124,0.00017293457,0.00002200622,0.00029708652,0.00000278374,0.00010547005,0.0000015344941],"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":[0.000044099666,0.0000059267754,0.002751136,0.000011864955,0.0009137896,0.0000023476557,0.00015054941,0.9051624,0.086476564,0.00014641356,0.000039872,0.0042950376],"study_design_scores_gemma":[0.0018309861,0.000015946847,0.00088170014,0.000028626688,0.00029583767,0.0000060645357,0.00005775979,0.99447256,0.00039610916,0.0016726084,0.00021903598,0.000122769],"about_ca_topic_score_codex":0.000018147115,"about_ca_topic_score_gemma":0.000010546647,"teacher_disagreement_score":0.8945458,"about_ca_system_score_codex":0.000070515875,"about_ca_system_score_gemma":0.000012506606,"threshold_uncertainty_score":0.53037745},"labels":[],"label_agreement":null},{"id":"W4323527357","doi":"10.23977/jaip.2023.060106","title":"Design of Multi-Channel Temperature Acquisition System Based on STM32","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data acquisition; STM32; Operability; Controller (irrigation); Microcomputer; Reliability (semiconductor); Temperature control; Computer science; Process (computing); Computer hardware; Engineering; Electrical engineering; Chip; Control engineering","score_opus":0.04921695985839919,"score_gpt":0.30156397646918426,"score_spread":0.25234701661078507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323527357","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":[0.005135128,0.00024124335,0.9922277,0.00023507359,0.0015945525,0.00023818685,0.000008125684,0.00013127434,0.00018871645],"genre_scores_gemma":[0.9965403,0.000060129936,0.0029599378,0.000053805477,0.00033035222,0.0000044246344,0.0000011299552,0.000030236948,0.000019694067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826133,0.00021215911,0.00077647006,0.000111452755,0.00042945213,0.00020913444],"domain_scores_gemma":[0.99787176,0.00097560324,0.00040940443,0.00018139806,0.00047576876,0.00008606568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001179621,0.00015390012,0.00031207706,0.00028198594,0.000067283036,0.00004876878,0.00017279248,0.00011326806,0.0000098765295],"category_scores_gemma":[0.0005253699,0.00013456013,0.00010971224,0.00048512302,0.000023608358,0.0004475444,0.0000074447016,0.0003617721,0.00009337091],"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":[0.00038351322,0.00006382504,8.5985516e-7,0.00007636374,0.00004777566,0.00010416357,0.00037788294,0.9124391,0.08363031,0.00022292098,0.00011868367,0.0025345958],"study_design_scores_gemma":[0.00009175147,0.00029256183,0.000007590442,0.00026040137,0.000052524603,0.000065753346,0.004843125,0.8947569,0.099248886,0.00010436203,0.00015080681,0.00012531888],"about_ca_topic_score_codex":0.000005408487,"about_ca_topic_score_gemma":9.218386e-7,"teacher_disagreement_score":0.9914052,"about_ca_system_score_codex":0.000107356485,"about_ca_system_score_gemma":0.00004010525,"threshold_uncertainty_score":0.5487203},"labels":[],"label_agreement":null},{"id":"W4377081560","doi":"10.2139/ssrn.4452031","title":"A Novel Data-Driven Sensor Placement Optimization Method for Unsupervised Damage Detection Using Noise-Assisted Neural Networks with Attention Mechanism","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Noise (video); Artificial neural network; Mechanism (biology); Artificial intelligence; Pattern recognition (psychology); Data mining; Physics","score_opus":0.036210137744723286,"score_gpt":0.2773226820181574,"score_spread":0.24111254427343412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377081560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013127131,0.0002777329,0.98336893,0.000043027274,0.0013816629,0.0012866032,0.00010055624,0.00040852465,0.0000058215005],"genre_scores_gemma":[0.84518343,0.00066784676,0.15079789,0.00002113186,0.001567209,0.00014493582,0.0009770886,0.00044599205,0.00019447929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99637306,0.0001531094,0.00068026234,0.00061906496,0.00038579493,0.0017887348],"domain_scores_gemma":[0.99854845,0.00009418468,0.0004006257,0.0006197898,0.0002241325,0.00011283423],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0012648735,0.0005149343,0.00059312436,0.00028230005,0.00032371562,0.00020734676,0.00045947457,0.00035363564,0.0000027318092],"category_scores_gemma":[0.000031617605,0.00049349613,0.0001951839,0.00024896706,0.00001387185,0.0002971439,0.00015384878,0.0023618261,0.0000010135399],"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":[0.00026502722,0.000023646766,0.000006595069,0.000097444616,0.0007615298,0.0000037063446,0.000026842219,0.979706,0.01606875,0.00012120524,0.000001825292,0.002917461],"study_design_scores_gemma":[0.002312732,0.0001860513,0.000036219593,0.00016081084,0.0005578226,0.00038600064,0.00059208,0.9945786,0.00006815533,0.0005987791,0.0000089222385,0.00051382853],"about_ca_topic_score_codex":0.00010326007,"about_ca_topic_score_gemma":0.0010077684,"teacher_disagreement_score":0.832571,"about_ca_system_score_codex":0.001828664,"about_ca_system_score_gemma":0.00030060502,"threshold_uncertainty_score":0.99993974},"labels":[],"label_agreement":null},{"id":"W4383098956","doi":"10.23977/acss.2023.070505","title":"Multi-function calculator simulation system","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Xijing University","keywords":"Calculator; Computer science; Microcontroller; Division (mathematics); Chip; Measure (data warehouse); Visualization; Multiplication (music); Subtraction; Computer hardware; Function (biology); Embedded system; Computer graphics (images); Component (thermodynamics); Arithmetic; Operating system; Artificial intelligence; Database; Telecommunications; Mathematics","score_opus":0.015746724036205532,"score_gpt":0.25110884025275987,"score_spread":0.23536211621655434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383098956","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":[0.06464898,0.009008619,0.9218465,0.000002723338,0.0030463801,0.0004138038,0.000008951607,0.0008562177,0.000167843],"genre_scores_gemma":[0.9989849,0.00014939261,0.00033195442,0.000007463424,0.00039730786,0.000047423528,0.000009000072,0.000030006455,0.00004257197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988465,0.000063979125,0.0004107802,0.0002466423,0.00016498084,0.00026712823],"domain_scores_gemma":[0.9995185,0.00015885802,0.000051482908,0.00016710092,0.00003787371,0.000066179986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022208212,0.00017568216,0.00032460483,0.0001579605,0.000063112035,0.0000621689,0.00007211319,0.000080253194,8.4194517e-7],"category_scores_gemma":[0.0000040820437,0.0001626306,0.000040167273,0.00030731177,0.000013820074,0.0003465,0.00001872854,0.00008870953,0.000041183295],"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":[0.000006259847,0.0000039491115,0.0010013065,0.00036125787,0.000014402122,0.000013341366,0.000105921536,0.98650634,0.0007465333,0.00026423534,0.000019527608,0.0109568965],"study_design_scores_gemma":[0.0005231654,0.000031069656,0.0013892273,0.0002344189,0.0000054557427,0.000008124979,0.00016018648,0.9924505,0.000013239195,0.000021074131,0.004978494,0.00018507813],"about_ca_topic_score_codex":0.00001399514,"about_ca_topic_score_gemma":0.00000983245,"teacher_disagreement_score":0.9343359,"about_ca_system_score_codex":0.00006046599,"about_ca_system_score_gemma":0.0000031571858,"threshold_uncertainty_score":0.6631884},"labels":[],"label_agreement":null},{"id":"W4385387108","doi":"10.18280/ijsse.130319","title":"Long-Term Forecasting of Crop Water Requirement with BP-RVM Algorithm for Food Security and Harvest Risk Reduction","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Reduction (mathematics); Food security; Algorithm; Computer science; Mathematics; Agriculture; Biology","score_opus":0.010254501865174572,"score_gpt":0.21646623573066012,"score_spread":0.20621173386548555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385387108","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":[0.83671314,0.00046249418,0.16179973,0.000051038132,0.00067378744,0.00013778031,0.00009589111,0.00004530381,0.000020809548],"genre_scores_gemma":[0.9977082,0.000642349,0.0012146005,0.0000023935615,0.0003825222,0.0000042075258,0.000015811838,0.000023795976,0.000006139429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901974,0.000012994259,0.00044140752,0.0001067551,0.0002418394,0.00017728122],"domain_scores_gemma":[0.999468,0.000071962,0.0001200528,0.00005797464,0.0002092132,0.00007276662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035945154,0.00013993519,0.0002450874,0.000176614,0.000051871924,0.000038134745,0.00009431675,0.000053494186,0.0000026267255],"category_scores_gemma":[0.000027928707,0.00011291248,0.000065001776,0.000063263404,0.00002501485,0.00033626484,0.000027115908,0.00020545832,2.4189455e-7],"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":[0.0012089786,0.00011359834,0.003250468,0.0013477477,0.003270047,0.00017570597,0.015922936,0.81820786,0.030683054,0.0012370063,0.000056109337,0.12452647],"study_design_scores_gemma":[0.0037336848,0.00064557954,0.004016959,0.00077719835,0.00012333528,0.0010182012,0.0006287869,0.96890396,0.017502815,0.0009830273,0.0012571273,0.0004092985],"about_ca_topic_score_codex":0.000004589334,"about_ca_topic_score_gemma":0.000010032377,"teacher_disagreement_score":0.16099502,"about_ca_system_score_codex":0.000056422643,"about_ca_system_score_gemma":0.0000066000084,"threshold_uncertainty_score":0.4604437},"labels":[],"label_agreement":null},{"id":"W4385779127","doi":"10.23977/acss.2023.070605","title":"Multi-computer Communication Reliability Evaluation System Based on 8051 Microcontroller","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcontroller; Reliability (semiconductor); Debugging; Computer science; Embedded system; Modular design; Process (computing); Key (lock); Computer hardware; Data transmission; Reliability engineering; Transmission (telecommunications); Operating system; Engineering; Telecommunications","score_opus":0.018019509231987,"score_gpt":0.26520158898130997,"score_spread":0.24718207974932296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385779127","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":[0.07272295,0.00981979,0.91076255,0.000052498,0.0028245356,0.0022414045,0.000027021591,0.0009751049,0.0005741713],"genre_scores_gemma":[0.99579936,0.0001822576,0.0033414385,0.00003869063,0.00027188443,0.0002810826,0.00003157601,0.000037150887,0.000016563788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977701,0.00044752294,0.000667791,0.00040735904,0.00037202984,0.00033520133],"domain_scores_gemma":[0.9985738,0.00052675826,0.00011195101,0.0005775753,0.00013181455,0.00007810423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014070594,0.00027067002,0.0005193769,0.00022294109,0.00011301635,0.00010309978,0.00021946074,0.00011878173,0.0000021474164],"category_scores_gemma":[0.00001218941,0.00024356903,0.000074556294,0.00033405164,0.0000339394,0.0002961448,0.000034573957,0.00018629323,0.000038764854],"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":[0.00002085738,0.000021265882,0.0007874857,0.00035619194,0.000013355435,0.0000045483794,0.00016766622,0.97415084,0.0003455488,0.000074287214,0.00011256348,0.023945415],"study_design_scores_gemma":[0.0020583528,0.00006577273,0.0018908032,0.00060809887,0.000010770036,0.0000050978274,0.00007863814,0.9928058,0.000030727693,0.0000422893,0.0021478743,0.0002557723],"about_ca_topic_score_codex":0.00002791088,"about_ca_topic_score_gemma":0.000017741964,"teacher_disagreement_score":0.9230764,"about_ca_system_score_codex":0.0001839872,"about_ca_system_score_gemma":0.000012903577,"threshold_uncertainty_score":0.99324566},"labels":[],"label_agreement":null},{"id":"W4387478892","doi":"10.2316/j.2023.201-0371","title":"RESEARCH PROGRESS ABOUT DEEP REINFORCEMENT LEARNING, 210-217. SI","year":2023,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Artificial intelligence; Computer science; Machine learning; Turing; Artificial neural network; Deep learning","score_opus":0.013962469873208627,"score_gpt":0.26559938458237176,"score_spread":0.2516369147091631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387478892","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":[0.2650208,0.2560861,0.39897075,0.00089022546,0.009923963,0.013247166,0.00004040395,0.011099946,0.044720646],"genre_scores_gemma":[0.9944093,0.0004710422,0.000005733453,0.000010808291,0.000520985,0.00063786533,0.00001251182,0.00007417701,0.0038575816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972858,0.00020965705,0.000495916,0.00036297904,0.0006133474,0.0010322953],"domain_scores_gemma":[0.9990555,0.00017163181,0.00006650334,0.00037398905,0.0001348561,0.00019750965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012646476,0.0002700894,0.00049969944,0.00026763097,0.00032183214,0.00018629275,0.00021005534,0.0001663008,0.00002292291],"category_scores_gemma":[0.000036344798,0.00024028608,0.00009391153,0.00040719542,0.00006483021,0.00014589026,0.000045041266,0.00047266507,0.00027204747],"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":[0.000103319224,0.000019646111,0.001604661,0.0008393947,0.00049579865,0.00009389569,0.0010406014,0.9289618,0.0043764035,0.027476171,0.0013470283,0.03364129],"study_design_scores_gemma":[0.002255853,0.00019453677,0.00036347183,0.00014474857,0.000028111725,0.000022940912,0.0021509707,0.91785145,0.000062239546,0.00013342897,0.07647513,0.00031712846],"about_ca_topic_score_codex":0.00009998211,"about_ca_topic_score_gemma":0.000025777623,"teacher_disagreement_score":0.72938854,"about_ca_system_score_codex":0.00016269674,"about_ca_system_score_gemma":0.000027087694,"threshold_uncertainty_score":0.9798582},"labels":[],"label_agreement":null},{"id":"W4390785233","doi":"","title":"Design and Implementation of an Embedded Digital Throwing System Based on MEMS Multiaxial Accelerometer","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Sensor and Control Systems","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":"Ontario Tech University","funders":"","keywords":"Accelerometer; Throwing; Microelectromechanical systems; Computer science; Embedded system; Human–computer interaction; Engineering; Operating system; Materials science; Mechanical engineering; Nanotechnology","score_opus":0.11979295160332822,"score_gpt":0.48420497330981715,"score_spread":0.36441202170648895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390785233","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":[0.9654187,0.0003651383,0.031949434,0.0000050963918,0.0006962499,0.0007083432,0.000050650113,0.000093202965,0.00071321224],"genre_scores_gemma":[0.998652,0.000045339122,0.0010172426,0.000018571156,0.00014725076,0.00003499989,0.000013031711,0.000064552434,0.0000070062074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814415,0.00009420513,0.0007403195,0.00027737554,0.00045493335,0.00028903916],"domain_scores_gemma":[0.998702,0.0002754965,0.0003419351,0.0003604847,0.00013368293,0.00018643879],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005886114,0.00027779845,0.0006134975,0.00044246158,0.0001103996,0.0007538445,0.00069384265,0.00009984864,0.00046687695],"category_scores_gemma":[0.00004362274,0.00025323045,0.00009920729,0.00028624354,0.000044688106,0.0026503217,0.000086292996,0.00027976162,0.0000026865298],"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":[0.00016411048,0.00006313544,0.019399842,0.0001946328,0.00013711672,0.000014800884,0.00026016266,0.026369598,0.9175877,0.000019489229,0.00018425741,0.035605144],"study_design_scores_gemma":[0.0048314757,0.00011126549,0.21687847,0.00062606577,0.00016395829,0.000038241207,0.00146019,0.18921779,0.58477193,0.00033632584,0.00043128504,0.0011330148],"about_ca_topic_score_codex":0.0001291788,"about_ca_topic_score_gemma":0.000024176126,"teacher_disagreement_score":0.3328158,"about_ca_system_score_codex":0.00005414886,"about_ca_system_score_gemma":0.00002982665,"threshold_uncertainty_score":0.999992},"labels":[],"label_agreement":null},{"id":"W4390890605","doi":"10.23977/acss.2023.071112","title":"Design of Obstructed Sight Traffic Warning Device Based on Pyroelectric Infrared Sensor","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Sight; Warning system; Real-time computing; Computer security; Simulation; Telecommunications; Optics","score_opus":0.014959982852326423,"score_gpt":0.22716028423285664,"score_spread":0.21220030138053023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390890605","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":[0.15552855,0.008395855,0.833061,0.000008988968,0.0012534431,0.0007979868,0.000012364543,0.0006213954,0.00032043766],"genre_scores_gemma":[0.99782723,0.00037485847,0.0015072357,0.00001788742,0.00015318929,0.000045041048,0.000008768866,0.0000412757,0.000024504494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983085,0.00018718406,0.00057907356,0.00029727886,0.00025631275,0.00037164922],"domain_scores_gemma":[0.99867624,0.000855396,0.00011304524,0.00022430182,0.000058448142,0.00007258163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028220552,0.0002517566,0.0005466164,0.00036682337,0.000053691707,0.000040524716,0.00014715543,0.000094371826,0.0000024089175],"category_scores_gemma":[0.000018422854,0.00023062578,0.000048557315,0.0008225514,0.000024866162,0.00019104754,0.000012759765,0.00016258401,0.000009094167],"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":[0.000027934642,0.000010082008,0.00020309369,0.00030460808,0.000018433824,0.000029101308,0.00020116422,0.97435975,0.005132744,0.000026910788,0.00003475656,0.019651432],"study_design_scores_gemma":[0.0007887581,0.00016236954,0.00025219488,0.00036311726,0.000006950714,0.000007708062,0.00006352092,0.9967446,0.0005489165,0.000048347334,0.0007647123,0.000248828],"about_ca_topic_score_codex":0.0000035360995,"about_ca_topic_score_gemma":0.0000014701295,"teacher_disagreement_score":0.8422987,"about_ca_system_score_codex":0.00004173224,"about_ca_system_score_gemma":0.000012832084,"threshold_uncertainty_score":0.9404646},"labels":[],"label_agreement":null},{"id":"W4391054332","doi":"10.2316/j.2024.201-0428","title":"PROPORTIONAL INTEGRAL DERIVATIVE CONTROL BASED ON RESOURCE ALLOCATION NETWORK ALGORITHM, 58-64.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Derivative (finance); Algorithm; Computer science; Resource allocation; Control (management); Resource (disambiguation); Mathematical optimization; Mathematics; Artificial intelligence; Economics; Computer network; Finance","score_opus":0.0040592293335161185,"score_gpt":0.19101155082326005,"score_spread":0.18695232148974392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391054332","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":[0.0006578727,0.014484899,0.9796338,0.00031975316,0.0014488649,0.0012455616,0.00008360396,0.00071987923,0.0014057684],"genre_scores_gemma":[0.9972553,0.000018996217,0.0001954635,0.0001698982,0.001374918,0.0004412921,0.000035100773,0.00007597576,0.0004330534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979503,0.00015297186,0.00053447456,0.00042948598,0.00038460997,0.0005481451],"domain_scores_gemma":[0.99915457,0.00027262882,0.000072792274,0.00028485202,0.000072201765,0.00014293064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005262953,0.00036373033,0.0005290503,0.000122050544,0.00014276439,0.00019397812,0.00012783677,0.00017053206,0.000023834566],"category_scores_gemma":[0.000021420085,0.00030022708,0.0001433538,0.00019409388,0.00003957658,0.00014973198,0.0000070432425,0.00034170802,0.000036210768],"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":[0.00016572098,0.000031805288,0.00011899444,0.0003206586,0.00052601466,0.00005023411,0.00013146333,0.9036002,0.0013904489,0.027987616,0.0024414645,0.06323535],"study_design_scores_gemma":[0.0020633033,0.00017709458,0.000096003765,0.0003534665,0.000080920196,0.000025551384,0.00017542034,0.9457651,0.000030152167,0.0003478053,0.050577603,0.00030759882],"about_ca_topic_score_codex":0.000050548715,"about_ca_topic_score_gemma":0.000010659985,"teacher_disagreement_score":0.9965974,"about_ca_system_score_codex":0.00024119686,"about_ca_system_score_gemma":0.00006513859,"threshold_uncertainty_score":0.999945},"labels":[],"label_agreement":null},{"id":"W4391124263","doi":"10.23977/jeis.2024.090102","title":"Graph Convolutional Neural Network Knowledge Tracking Based on Response Time Feature","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Graph; Feature (linguistics); Artificial intelligence; Pattern recognition (psychology); Theoretical computer science","score_opus":0.0045876074875996495,"score_gpt":0.22510527633103397,"score_spread":0.22051766884343432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391124263","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":[0.7977612,0.031640068,0.14963815,0.002285333,0.0040710745,0.00042268317,0.000022019722,0.00030411873,0.013855371],"genre_scores_gemma":[0.99955094,0.00008522147,0.00013740644,0.00008244067,0.00011036408,6.0529703e-7,7.647964e-7,0.0000035499254,0.00002867976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925774,0.000017589602,0.00022656638,0.00004242532,0.00025632218,0.00019936691],"domain_scores_gemma":[0.9995537,0.00012392775,0.000055805227,0.000051666473,0.00014926358,0.00006564414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009969734,0.00006957002,0.00009462871,0.00025660044,0.00011329708,0.00019620295,0.00009939554,0.00003060382,0.000004515707],"category_scores_gemma":[0.000060478265,0.000053647313,0.000044730117,0.0005286615,0.000045524816,0.002175444,0.000004764816,0.00025270117,0.000008502151],"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":[0.00019029976,0.0000050053573,0.00002061556,0.00003117901,0.000010833532,0.0000028658014,0.00028123002,0.96120405,0.010572879,0.00914775,0.0023544368,0.016178858],"study_design_scores_gemma":[0.0001755736,0.00015584384,0.0008705894,0.00006135145,0.0000045946713,0.00006780966,0.000014739092,0.9373621,0.00018806654,0.00017761714,0.060859278,0.000062450694],"about_ca_topic_score_codex":5.4478917e-8,"about_ca_topic_score_gemma":1.6811414e-7,"teacher_disagreement_score":0.20178978,"about_ca_system_score_codex":0.00011473722,"about_ca_system_score_gemma":0.00017287837,"threshold_uncertainty_score":0.21876739},"labels":[],"label_agreement":null},{"id":"W4391428978","doi":"10.1109/pcic43643.2023.10414336","title":"A Comprehensive Time Series Forecasting for Motor Winding Temperatures","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","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":"Shell (Canada)","funders":"","keywords":"Series (stratigraphy); Time series; Computer science; Environmental science; Geology; Machine learning","score_opus":0.02029957901699001,"score_gpt":0.2234140010982123,"score_spread":0.2031144220812223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391428978","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":[0.93767554,0.0007481262,0.030646885,0.00023407282,0.0020447464,0.0022069926,0.00020708902,0.008127107,0.018109456],"genre_scores_gemma":[0.9886114,0.000006171454,0.0021220965,0.000031813324,0.00030239837,0.00007703541,0.00002723525,0.000050531045,0.008771326],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994334,0.0000057261987,0.00013309268,0.00010920242,0.00006700198,0.00025157156],"domain_scores_gemma":[0.9996906,0.00012742534,0.0000121053135,0.0000925231,0.000038197955,0.000039163242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003350386,0.000113243914,0.00016519793,0.00006512166,0.00009355807,0.000036675487,0.000057300287,0.000037834896,0.000017568069],"category_scores_gemma":[0.000023019293,0.000101125035,0.00006109295,0.000137546,0.000009480246,0.00012661579,0.000011472987,0.000051277126,0.00008804115],"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":[0.00006342947,0.0000042455604,0.00016618996,0.00038600527,0.00015079159,0.000027154862,0.0006061635,0.07701203,0.9026477,0.001342689,0.0147978775,0.002795747],"study_design_scores_gemma":[0.0009073554,0.000104857296,0.00046347207,0.000077310964,0.000017469765,0.00004329607,0.0010924478,0.91611236,0.013738307,0.0007854136,0.06617955,0.00047814727],"about_ca_topic_score_codex":0.0000018849358,"about_ca_topic_score_gemma":0.0000019238832,"teacher_disagreement_score":0.88890934,"about_ca_system_score_codex":0.000019509569,"about_ca_system_score_gemma":0.000002923933,"threshold_uncertainty_score":0.41237593},"labels":[],"label_agreement":null},{"id":"W4392622694","doi":"10.23977/jeeem.2024.070105","title":"Fault Diagnosis of Sensors for Multi-stack Fuel Cell Thermal Management Subsystem Based on UKF","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stack (abstract data type); Fuel cells; Automotive engineering; Fault (geology); Thermal; Computer science; Proton exchange membrane fuel cell; Engineering; Geology; Chemical engineering; Physics","score_opus":0.006666715348384881,"score_gpt":0.20994484723990975,"score_spread":0.20327813189152485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392622694","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":[0.063977644,0.026104605,0.90526336,0.0003764378,0.00080428756,0.0016322547,0.00001274489,0.0007940435,0.0010346215],"genre_scores_gemma":[0.9893928,0.0028508978,0.007360547,0.000019234161,0.000065548236,0.00011194262,0.0000011596417,0.00006184817,0.0001360024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985753,0.000017056198,0.00053756585,0.00021013907,0.00021635063,0.00044355853],"domain_scores_gemma":[0.99948126,0.00012801624,0.000081838945,0.00018898652,0.00004709791,0.00007278733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024167167,0.00026228643,0.00044412297,0.00080301636,0.0000281219,0.00002629727,0.00019515851,0.00014185124,0.0000022129273],"category_scores_gemma":[0.000016349539,0.0002298341,0.00018285759,0.00045889415,0.00001738069,0.000058710946,0.000017435195,0.0004026257,0.0000019504735],"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":[0.00013361462,0.00014756995,0.000021793576,0.0049263267,0.00082363124,0.00029577143,0.000033960096,0.9440801,0.013079792,0.0076568597,0.0008014896,0.027999064],"study_design_scores_gemma":[0.0013998633,0.0007500325,0.00006038382,0.000305835,0.0002050808,0.000032040312,0.000027774337,0.95954275,0.01681236,0.00006554649,0.020543255,0.00025505314],"about_ca_topic_score_codex":7.73671e-7,"about_ca_topic_score_gemma":2.9075326e-7,"teacher_disagreement_score":0.92541516,"about_ca_system_score_codex":0.00015187396,"about_ca_system_score_gemma":0.0000064064907,"threshold_uncertainty_score":0.93723625},"labels":[],"label_agreement":null},{"id":"W4393342490","doi":"10.23977/jeis.2024.090112","title":"Application of intelligent algorithm in wireless sensor network node deployment optimization","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Wireless sensor network; Computer science; Node (physics); Computer network; Key distribution in wireless sensor networks; Wireless; Wireless network; Algorithm; Distributed computing; Telecommunications; Engineering; Software engineering","score_opus":0.0037580688213499176,"score_gpt":0.22001245582866502,"score_spread":0.2162543870073151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393342490","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":[0.018260587,0.0013488964,0.9798681,0.000036195797,0.00016195318,0.000076860146,9.54273e-7,0.000012287969,0.00023416527],"genre_scores_gemma":[0.9928749,0.0020869914,0.004973548,0.000017696218,0.00003927535,0.0000018322456,9.69207e-7,0.0000032491166,0.0000015228542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999197,0.0000053295366,0.0004196789,0.00003573719,0.0002132636,0.00012896318],"domain_scores_gemma":[0.99967784,0.00002056637,0.0000968326,0.00004779032,0.00012349505,0.000033455395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925237,0.000048727747,0.00009841682,0.00019560278,0.00002521124,0.000055954377,0.00007442423,0.000021059976,0.0000010188534],"category_scores_gemma":[0.000009275276,0.000040885596,0.000019095767,0.0004984255,0.000025030016,0.0015365405,0.0000070594574,0.00010321648,8.1301505e-7],"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":[0.000003008634,0.0000022050197,0.00003487378,0.000022592641,0.000003434472,1.8664981e-7,0.00016699875,0.8989744,0.0014873045,0.0026728136,0.000007631126,0.09662451],"study_design_scores_gemma":[0.00008553214,0.000038243386,0.000120620905,0.00004421592,0.0000034615505,0.000021093958,0.00007003461,0.9944806,0.0016176456,0.000119954624,0.0033574637,0.00004110903],"about_ca_topic_score_codex":0.0000017953251,"about_ca_topic_score_gemma":8.763749e-7,"teacher_disagreement_score":0.9748945,"about_ca_system_score_codex":0.00012486598,"about_ca_system_score_gemma":0.00005896602,"threshold_uncertainty_score":0.16672662},"labels":[],"label_agreement":null},{"id":"W4394064401","doi":"10.2316/j.2024.201-0445","title":"ANTI-DISTURBANCE ADAPTIVE CONTROL METHOD OF AC MOTOR SERVO ON THE BASIS OF DIGITAL PID ALGORITHM, 130-139.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"PID controller; Control theory (sociology); Disturbance (geology); Servomechanism; Servomotor; Basis (linear algebra); DC motor; Servo control; Servo; Digital control; Control engineering; Computer science; Servo bandwidth; Control (management); Engineering; Mathematics; Temperature control; Artificial intelligence; Electronic engineering","score_opus":0.007271108952171112,"score_gpt":0.20772088923849413,"score_spread":0.20044978028632301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394064401","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":[0.009576518,0.038742676,0.945971,0.00016749931,0.0013936704,0.0016369785,0.0012057716,0.00026043787,0.0010454123],"genre_scores_gemma":[0.9989349,0.000072031624,0.00011035875,0.000023869039,0.0003235627,0.0001755616,0.0000034917475,0.00006309246,0.00029308244],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801797,0.00015576676,0.00068198337,0.00036002192,0.00037192865,0.00041235826],"domain_scores_gemma":[0.9984297,0.0007930659,0.00014683812,0.00043625364,0.00010406104,0.0000900495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052647345,0.0003563134,0.0009762488,0.000111051304,0.00006605124,0.00009773876,0.00023359193,0.00013938993,0.000010359252],"category_scores_gemma":[0.00003546288,0.0002412342,0.00026891663,0.00018674176,0.00005811443,0.00019863836,0.000016838649,0.00023859621,0.000010365272],"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":[0.001189665,0.00033155823,0.00089919526,0.004985478,0.011872662,0.00017558968,0.0022575702,0.19561991,0.19589567,0.2801105,0.0014737733,0.30518842],"study_design_scores_gemma":[0.0022702273,0.00038182238,0.00015917321,0.00051734614,0.00022697893,0.000039755407,0.0009089623,0.98977566,0.0019035665,0.0004430768,0.0030367468,0.00033666225],"about_ca_topic_score_codex":0.00009392644,"about_ca_topic_score_gemma":0.0000032179341,"teacher_disagreement_score":0.9893584,"about_ca_system_score_codex":0.000088861525,"about_ca_system_score_gemma":0.000036099198,"threshold_uncertainty_score":0.98372453},"labels":[],"label_agreement":null},{"id":"W4394604783","doi":"10.23977/jeeem.2024.070108","title":"Analysis of common faults of Agilent GC7890A gas chromatograph","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gas chromatography; Chromatography; Gas analysis; Gas chromatography ion detector; Chemistry","score_opus":0.0021203325983737823,"score_gpt":0.19166717515140805,"score_spread":0.18954684255303428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394604783","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":[0.68482447,0.038754597,0.27476007,0.00017656927,0.0002975994,0.00031366176,0.0000055579158,0.00038480974,0.00048268598],"genre_scores_gemma":[0.9946622,0.0046054753,0.0006647821,0.0000040953814,0.000021615137,0.0000064702813,0.000001029995,0.000020912388,0.000013395613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880093,0.0000123226855,0.0006037119,0.00012037458,0.00019522542,0.0002674219],"domain_scores_gemma":[0.999584,0.0000678153,0.000095622934,0.00015795237,0.000042757252,0.000051861512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018568212,0.00016179023,0.00062248413,0.001852752,0.000012974829,0.000007811752,0.0001642576,0.00010697395,0.000003092946],"category_scores_gemma":[0.000015070879,0.00014325461,0.00023185172,0.0018465956,0.000027752056,0.000057371803,0.000020724845,0.00036413773,3.4124776e-7],"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":[0.00008603456,0.00015452346,0.00027170006,0.0015734532,0.017212115,0.00032105367,0.00010575885,0.6250447,0.21953392,0.03821335,0.0004504024,0.097033],"study_design_scores_gemma":[0.0006356486,0.0008120977,0.001066794,0.00026995456,0.002261527,0.0001694099,0.000031668842,0.95249164,0.035339385,0.0007156578,0.005912921,0.00029331775],"about_ca_topic_score_codex":0.0000038295098,"about_ca_topic_score_gemma":0.000001506815,"teacher_disagreement_score":0.32744694,"about_ca_system_score_codex":0.00006141391,"about_ca_system_score_gemma":0.000005699597,"threshold_uncertainty_score":0.58417535},"labels":[],"label_agreement":null},{"id":"W4394626915","doi":"10.23977/jeis.2024.090116","title":"Radar recognition system based on XG-Boost","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Xijing University","keywords":"Computer science; Radar; Artificial intelligence; Aeronautics; Engineering; Telecommunications","score_opus":0.00474181820938087,"score_gpt":0.20230887847478016,"score_spread":0.19756706026539927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394626915","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":[0.3727002,0.00735051,0.52621573,0.0006162196,0.0043953867,0.0004728812,0.000031717842,0.00040397688,0.087813355],"genre_scores_gemma":[0.9995118,0.00016471662,0.00020373584,0.00005526424,0.00005609215,7.439861e-7,8.9087655e-7,0.0000029644298,0.0000037970922],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999265,0.000005555451,0.0002748881,0.00003350442,0.00028870653,0.00013231336],"domain_scores_gemma":[0.99968296,0.000031447475,0.0000596158,0.000047997688,0.00012421556,0.00005374837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005433037,0.00005366613,0.000080959435,0.0002796758,0.00006672607,0.00018918655,0.00007135574,0.000020206968,0.0000027278309],"category_scores_gemma":[0.000026320398,0.000041008712,0.000027578813,0.00030930282,0.000021822912,0.0025132718,0.0000027142448,0.00013998165,0.000014327031],"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":[0.00012148101,0.000017171447,0.00002164722,0.00095921394,0.000044682925,0.000017104736,0.0012907028,0.19975667,0.05219268,0.054439083,0.0012540953,0.6898855],"study_design_scores_gemma":[0.0002409908,0.00020092333,0.00006756705,0.00022077693,0.000007938171,0.00011664723,0.00017850642,0.9479553,0.0047291867,0.00013028226,0.04606823,0.00008364633],"about_ca_topic_score_codex":3.3021178e-7,"about_ca_topic_score_gemma":1.8751209e-7,"teacher_disagreement_score":0.7481986,"about_ca_system_score_codex":0.00017574278,"about_ca_system_score_gemma":0.000098434466,"threshold_uncertainty_score":0.18243304},"labels":[],"label_agreement":null},{"id":"W4394772727","doi":"10.23977/acss.2024.080217","title":"Research on Local Field Potential Signal Classification Algorithm Based on Transfer Learning","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Transfer of learning; SIGNAL (programming language); Computer science; Algorithm; Artificial intelligence; Pattern recognition (psychology); Mathematics","score_opus":0.02346368143086455,"score_gpt":0.29571052468486525,"score_spread":0.2722468432540007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394772727","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":[0.0035770412,0.007225677,0.9859984,0.00005210347,0.0012675951,0.00029376856,0.0000061440155,0.00020899676,0.0013702868],"genre_scores_gemma":[0.99862164,0.00025414547,0.0002819342,0.000035619778,0.0006530511,0.00005872611,0.0000072818466,0.000032955686,0.000054660246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982923,0.00024253924,0.0003404487,0.00037763244,0.00041193247,0.00033511026],"domain_scores_gemma":[0.99903435,0.0006892685,0.000010715483,0.00014574696,0.000044505745,0.000075411685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005446076,0.00018508924,0.0002627319,0.0002898364,0.00009449299,0.00017471008,0.0001135602,0.00011775641,0.000011089585],"category_scores_gemma":[0.0000027345252,0.00016138387,0.000056467852,0.00027322583,0.000038273574,0.00019719473,0.000008303908,0.0005778033,0.000025784731],"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":[0.000020307167,0.0000123284935,0.00001219428,0.00016271095,0.0000090755475,0.000049467923,0.00006353913,0.71612585,0.00058459386,0.0007368724,0.000060101942,0.28216293],"study_design_scores_gemma":[0.00031806887,0.0005261817,0.000028252502,0.00071051583,0.0000035119251,0.000009668612,0.00018222159,0.988038,0.00028220873,0.00011440924,0.009608534,0.0001784445],"about_ca_topic_score_codex":0.000015767404,"about_ca_topic_score_gemma":0.0000039717343,"teacher_disagreement_score":0.9950446,"about_ca_system_score_codex":0.000081605256,"about_ca_system_score_gemma":0.00001288776,"threshold_uncertainty_score":0.6581043},"labels":[],"label_agreement":null},{"id":"W4395685550","doi":"10.2316/j.2024.206-1100","title":"CHINESE VOCATIONAL SKILLS EDUCATION QUALITY ASSESSMENT USING ATTENTIVE DUAL RESIDUAL GENERATIVE ADVERSARIAL NETWORK OPTIMISED WITH GAZELLE OPTIMISATION ALGORITHM, 1-10.","year":2024,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vocational education; Residual; Adversarial system; Generative grammar; Dual (grammatical number); Quality (philosophy); Artificial intelligence; Generative adversarial network; Computer science; Machine learning; Algorithm; Psychology; Deep learning; Pedagogy; Epistemology; Philosophy","score_opus":0.010560402556746219,"score_gpt":0.30714456369833043,"score_spread":0.2965841611415842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395685550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09335362,0.00054864265,0.9016566,0.00045504447,0.0031587484,0.0001852515,0.00002939618,0.000068694346,0.0005439999],"genre_scores_gemma":[0.83205795,0.000075777985,0.16514547,0.00003488113,0.0024112829,0.0000049427285,0.000110892644,0.000024402518,0.00013442204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985912,0.000074342395,0.0005310501,0.00013767203,0.00054489425,0.00012082893],"domain_scores_gemma":[0.99891424,0.00012838401,0.0002224473,0.00006416585,0.000606092,0.00006463942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033868154,0.00016142483,0.00020238661,0.00016578792,0.000077684694,0.00022091356,0.00008535593,0.00006449094,0.000031907617],"category_scores_gemma":[0.000027812333,0.00013298236,0.0000626657,0.0001324876,0.000030528907,0.00061804696,0.000015901218,0.00016660665,0.0000021569876],"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":[0.000032231314,0.00004952517,0.0002319776,0.000020807349,0.00033207546,0.000010425193,0.0003462532,0.9785412,0.0016047815,0.0015648529,0.00029335517,0.016972505],"study_design_scores_gemma":[0.00078895345,0.00007251219,0.011626436,0.00023783368,0.00006799453,0.00016064805,0.00014426201,0.9851198,0.00007809729,0.0012992129,0.00022804203,0.00017616479],"about_ca_topic_score_codex":0.000009107442,"about_ca_topic_score_gemma":0.000003832943,"teacher_disagreement_score":0.7387043,"about_ca_system_score_codex":0.0003029255,"about_ca_system_score_gemma":0.00022485455,"threshold_uncertainty_score":0.54228634},"labels":[],"label_agreement":null},{"id":"W4396637093","doi":"10.23977/jeeem.2024.070113","title":"Design of intelligent dishwasher control circuit based on 51 SU","year":2024,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Computer science; Artificial intelligence","score_opus":0.0055136843322736336,"score_gpt":0.18595938131678613,"score_spread":0.1804456969845125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396637093","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":[0.0015137579,0.0061692265,0.9912195,0.00015715971,0.00022961765,0.00025317565,8.350352e-7,0.00024234189,0.00021434858],"genre_scores_gemma":[0.9977863,0.0008570846,0.0011808721,0.000028676846,0.000055543544,0.000017390461,2.73236e-7,0.000037492267,0.00003639864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888426,0.000020484154,0.00043261753,0.00013926861,0.0001967622,0.00032662225],"domain_scores_gemma":[0.99955606,0.00015503346,0.000050312625,0.00014198023,0.000034128316,0.00006250017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025874723,0.00019039688,0.00037373434,0.0006788169,0.000017325241,0.000025231457,0.00015801036,0.00011374907,0.000004795673],"category_scores_gemma":[0.00003365776,0.00016300802,0.00009640945,0.00044266914,0.000019549976,0.00005169693,0.000007709617,0.0005097418,0.000002389421],"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":[0.00007086964,0.00004007619,0.0000036395513,0.0002639205,0.00045530946,0.00018027535,0.000011517811,0.9025214,0.0397834,0.016382672,0.00041754715,0.039869387],"study_design_scores_gemma":[0.0006037425,0.0008608158,0.000017203603,0.00017744309,0.00011395544,0.000086254884,0.000004849825,0.98173136,0.009381624,0.0008490688,0.0059996718,0.00017403519],"about_ca_topic_score_codex":5.018478e-7,"about_ca_topic_score_gemma":5.770105e-8,"teacher_disagreement_score":0.9962725,"about_ca_system_score_codex":0.00013055265,"about_ca_system_score_gemma":0.000011344873,"threshold_uncertainty_score":0.6647274},"labels":[],"label_agreement":null},{"id":"W4396895901","doi":"10.23977/acss.2024.080308","title":"Application of Multi-sensor Signal Processing in Testing Courses","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Signal processing; Computer science; Digital signal processing; Computer hardware","score_opus":0.01843621906095947,"score_gpt":0.2694535208968796,"score_spread":0.2510173018359201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396895901","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":[0.030032877,0.09327989,0.87571794,0.0000040130894,0.0003142361,0.00033055962,0.0000063244124,0.00014646469,0.00016768201],"genre_scores_gemma":[0.9953768,0.00017406445,0.004180929,0.000003941513,0.00018152558,0.000050095983,0.0000018343583,0.000022895932,0.000007891081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998934,0.000038024536,0.00047689577,0.00023331493,0.00012316929,0.0001946429],"domain_scores_gemma":[0.99960124,0.00018805615,0.000050196442,0.000087708795,0.000039723072,0.00003309603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020857647,0.00014714953,0.00032087718,0.00015387019,0.000020083502,0.000057751215,0.00007825821,0.000053940825,4.3748915e-7],"category_scores_gemma":[0.0000042083,0.00013427908,0.000022373079,0.0003161341,0.0000276448,0.00031639752,0.000012949769,0.00011732379,0.0000016880044],"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":[0.000002856116,0.000011596176,0.004183523,0.0011137247,0.0000043936075,0.000013188314,0.00025514336,0.706342,0.008713828,0.00010372964,0.0000017334327,0.27925432],"study_design_scores_gemma":[0.00024473394,0.000027853115,0.0005373013,0.0011236607,0.0000035895266,0.000021649908,0.00012538877,0.9965732,0.00016426983,0.000080795195,0.00095083326,0.00014672188],"about_ca_topic_score_codex":0.000039518487,"about_ca_topic_score_gemma":0.000023680463,"teacher_disagreement_score":0.96534395,"about_ca_system_score_codex":0.00003317441,"about_ca_system_score_gemma":0.000009825949,"threshold_uncertainty_score":0.54757416},"labels":[],"label_agreement":null},{"id":"W4399130304","doi":"10.5539/ies.v17n3p92","title":"Prediction of Physical Ability of College Students Based on the BP Neural Network","year":2024,"lang":"en","type":"article","venue":"International Education Studies","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Mathematics education; Psychology; Academic achievement; Pedagogy; Artificial intelligence; Computer science","score_opus":0.029638619771579423,"score_gpt":0.3324585013878749,"score_spread":0.30281988161629547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399130304","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":[0.98824626,0.001099265,0.00070634217,0.00062104675,0.0062068496,0.00021297074,0.000102906946,0.00007622893,0.0027281048],"genre_scores_gemma":[0.9992642,0.000015655758,0.000026914737,0.00003821001,0.0004352985,0.00005728115,0.0000060079688,0.0000070308497,0.00014939974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993912,0.00002437209,0.00018450139,0.00008292697,0.00026399503,0.000053030053],"domain_scores_gemma":[0.999249,0.0003512905,0.000029870216,0.000095913856,0.00026395245,0.000010015049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010664767,0.00006538563,0.00011025919,0.000039229093,0.000023532088,0.0000078581315,0.000102954065,0.00001265129,0.000009031669],"category_scores_gemma":[0.00008904861,0.000045561854,0.00005911869,0.00011020662,0.000039736035,0.000049536033,0.000012108178,0.00006104518,0.0000036224146],"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":[0.000092844835,0.0005303704,0.02447453,0.00041209755,0.0012452287,8.938187e-7,0.0031922904,0.8867246,0.0062439996,0.028768245,0.03679697,0.011517939],"study_design_scores_gemma":[0.00034426272,0.00013303124,0.09984909,0.00052552734,0.000071019356,0.0000016511457,0.0027808242,0.8753862,0.0013018044,0.0049872193,0.014479455,0.0001399373],"about_ca_topic_score_codex":0.000004700588,"about_ca_topic_score_gemma":0.000001598031,"teacher_disagreement_score":0.07537456,"about_ca_system_score_codex":0.00007405306,"about_ca_system_score_gemma":0.000019486657,"threshold_uncertainty_score":0.18579584},"labels":[],"label_agreement":null},{"id":"W4399634057","doi":"10.5267/j.dsl.2024.4.003","title":"The application of improved backpropagation neural network in college student achievement prediction","year":2024,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Backpropagation; Artificial neural network; Computer science; Artificial intelligence; Machine learning; Mathematics education; Psychology","score_opus":0.006325942634567618,"score_gpt":0.2539316992898532,"score_spread":0.24760575665528559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399634057","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":[0.73757005,0.00024530373,0.26004824,0.0004544202,0.001131006,0.00040998874,0.0000046355635,0.00007271071,0.000063652515],"genre_scores_gemma":[0.9994255,0.000018687402,0.00032810326,0.00006762308,0.000098064265,0.0000478951,0.0000011621332,0.000007255128,0.000005735318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998882,0.000016184697,0.00031019124,0.00018550573,0.00041626272,0.00018986607],"domain_scores_gemma":[0.99955946,0.00015018112,0.000027874556,0.00020794224,0.00002560149,0.000028949977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077341445,0.00006996258,0.00008138311,0.00009227188,0.00010218706,0.00006677211,0.00022975529,0.00001854059,6.6343483e-7],"category_scores_gemma":[0.000018641993,0.000048476224,0.000027727772,0.00084023224,0.000075614655,0.00023224273,0.000025499343,0.00008882078,0.000005924163],"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":[0.00001385739,0.0000063092216,0.0014783739,0.000008162476,0.0000040867567,0.0000013708155,0.00013758545,0.557566,0.35621673,0.00076144794,0.0003354854,0.083470576],"study_design_scores_gemma":[0.00014371562,0.000017887003,0.035010364,0.000028512877,0.0000026209239,0.0000015194512,0.00010330852,0.96120197,0.000898138,0.00020367041,0.0023364236,0.00005189896],"about_ca_topic_score_codex":0.000005851833,"about_ca_topic_score_gemma":0.000020387595,"teacher_disagreement_score":0.40363592,"about_ca_system_score_codex":0.00013787241,"about_ca_system_score_gemma":0.000008574338,"threshold_uncertainty_score":0.19768031},"labels":[],"label_agreement":null},{"id":"W4399663562","doi":"10.1117/12.3017859","title":"Improving SPIRou sensitivity by reducing thermal background","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sensitivity (control systems); Computer science; Thermal; Physics; Engineering; Electronic engineering; Meteorology","score_opus":0.006725219146543524,"score_gpt":0.20637418945577846,"score_spread":0.19964897030923492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399663562","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":[0.62831974,0.00295244,0.30827498,0.000055846045,0.0013777366,0.0001590544,0.000015324118,0.0020628916,0.05678198],"genre_scores_gemma":[0.9973552,0.000006410795,0.00031943122,0.000024053801,0.00029297834,0.0000040280775,0.0000038969024,0.000040063875,0.0019538873],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993683,0.000017089622,0.00013069622,0.0001671974,0.00008989575,0.00022680062],"domain_scores_gemma":[0.99973094,0.000064005406,0.0000061018777,0.0001398698,0.000008859417,0.00005020752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011593601,0.00012240345,0.00012216675,0.000028744747,0.00003601383,0.000095540185,0.00003290862,0.00004979353,0.000057476165],"category_scores_gemma":[0.000004426128,0.00010668598,0.00005255368,0.00008038265,0.000010654155,0.00021111724,0.000011509757,0.00013741493,0.00012866923],"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":[0.0000015914093,0.0000026205535,0.000008413341,0.00008156161,0.000027752498,0.000034943976,0.000075726195,0.010887874,0.9271363,0.00047840038,0.0013647354,0.05990008],"study_design_scores_gemma":[0.0001322305,0.00001341263,0.000067654335,0.000046670124,0.000014820832,0.000040613246,0.0001985959,0.948413,0.03563987,0.000025475465,0.015129543,0.00027809193],"about_ca_topic_score_codex":0.00020304663,"about_ca_topic_score_gemma":0.000015249904,"teacher_disagreement_score":0.93752515,"about_ca_system_score_codex":0.00006057841,"about_ca_system_score_gemma":0.0000053795657,"threshold_uncertainty_score":0.43505278},"labels":[],"label_agreement":null},{"id":"W4399870486","doi":"10.23977/acss.2024.080202","title":"Design of Automatic Gluing Control System Based on BECKHOFF Controller","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Controller (irrigation); Control engineering; Computer science; Control theory (sociology); Control (management); Automatic control; Engineering; Artificial intelligence; Biology","score_opus":0.008750114099340095,"score_gpt":0.2194168660057375,"score_spread":0.21066675190639741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399870486","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":[0.0024800347,0.043996364,0.9501315,0.000009214625,0.0017017385,0.00082682073,0.00001745499,0.00044691205,0.00038996048],"genre_scores_gemma":[0.9981774,0.00009711601,0.0012662171,0.000023508117,0.00026519166,0.00011204977,0.0000015264609,0.000045852103,0.00001113049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810284,0.00021353496,0.0007614503,0.00032136476,0.00028162863,0.00031916742],"domain_scores_gemma":[0.998489,0.001099769,0.000080169266,0.00021092509,0.000043979708,0.000076144235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055353885,0.00028877103,0.000791016,0.00024530257,0.000039068498,0.0001086726,0.00014181732,0.00009455901,0.000002295147],"category_scores_gemma":[0.000007414155,0.00023723507,0.000082456674,0.00021622409,0.000032464788,0.00024477884,0.000008669822,0.00015398655,0.0000092145665],"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":[0.000027799739,0.000011653232,0.00006217808,0.0022430476,0.0000573271,0.000045952555,0.00012614297,0.9752718,0.0015236047,0.0009626776,0.000030576055,0.019637205],"study_design_scores_gemma":[0.0013535308,0.0001742809,0.000024649342,0.0033377314,0.000022666018,0.000022784487,0.0000715027,0.99407965,0.000078768164,0.000049367893,0.00054905313,0.00023601767],"about_ca_topic_score_codex":0.000009903172,"about_ca_topic_score_gemma":0.0000011715686,"teacher_disagreement_score":0.9956974,"about_ca_system_score_codex":0.00008969505,"about_ca_system_score_gemma":0.000014797757,"threshold_uncertainty_score":0.9674166},"labels":[],"label_agreement":null},{"id":"W4400321227","doi":"10.26685/urncst.601","title":"The Implementation of Deep Learning Algorithm with Gaussian Blur Data Preprocessing in Circular RNA Classification and Detection","year":2024,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"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 British Columbia","funders":"","keywords":"Circular RNA; Preprocessor; Artificial intelligence; Algorithm; Gaussian; Pattern recognition (psychology); Computer science; RNA; Physics; Biology; Gene","score_opus":0.04195854570223623,"score_gpt":0.39853531808503684,"score_spread":0.3565767723828006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400321227","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":[0.97442645,0.014060432,0.006156359,0.0048386827,0.00015599333,0.00023284553,0.000001175313,0.000051482974,0.0000765841],"genre_scores_gemma":[0.9921208,0.007565216,0.00025640684,0.0000021277142,0.000038007493,0.0000044740573,8.2144663e-7,0.000005655509,0.0000064657656],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853915,0.00010762194,0.00036346758,0.00029708867,0.00037141153,0.0003212402],"domain_scores_gemma":[0.99932796,0.0002942349,0.000052593707,0.00013056141,0.00012685622,0.0000678061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003933821,0.000075493735,0.00013494387,0.00042633535,0.00041217828,0.0002285342,0.0002246457,0.00008562859,4.37428e-7],"category_scores_gemma":[0.00023489745,0.00004577182,0.000009250171,0.0013736148,0.0008941355,0.0005262194,0.00009892046,0.001357753,3.819135e-7],"study_design_candidate":"design_other","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":[0.000010239528,0.0000058242467,0.0071408465,0.00003111576,0.0000131106535,0.000019276804,0.000043219967,0.000025607605,0.0077999406,0.00043307236,0.0000013108296,0.98447645],"study_design_scores_gemma":[0.0008121906,0.00029279172,0.032669492,0.0002658681,0.0000121711355,0.00046022746,0.0065004537,0.9282424,0.0007924143,0.029366987,0.00044802783,0.00013701078],"about_ca_topic_score_codex":0.000031160485,"about_ca_topic_score_gemma":0.00042320814,"teacher_disagreement_score":0.9843394,"about_ca_system_score_codex":0.00008082218,"about_ca_system_score_gemma":0.000071745875,"threshold_uncertainty_score":0.5898836},"labels":[],"label_agreement":null},{"id":"W4400617101","doi":"10.23977/jemm.2024.090202","title":"Design and Research of Railway Spring Bar Buckle Pressure Measurement System Based on LabVIEW","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Buckle; Spring (device); Bar (unit); Engineering; Structural engineering; Computer science; Geology","score_opus":0.027852911847537354,"score_gpt":0.24582179375962138,"score_spread":0.21796888191208402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400617101","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":[0.0043848967,0.03727688,0.95716745,0.00003552225,0.00075555657,0.00019778401,0.000004503215,0.00008442326,0.00009300851],"genre_scores_gemma":[0.9962173,0.00042605426,0.0031524291,0.0000029659318,0.00014372754,0.0000046921605,1.3297348e-7,0.000043442957,0.000009216711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987622,0.00006041405,0.00037165885,0.000115655486,0.0004932034,0.00019688648],"domain_scores_gemma":[0.99939406,0.00019053606,0.000041256033,0.00012646215,0.00013816738,0.00010954157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002161149,0.00015135296,0.00032902657,0.00029598124,0.00003121851,0.000053279557,0.00008979855,0.00006822603,0.0000021333026],"category_scores_gemma":[0.00007380836,0.00012266244,0.000062426494,0.00014331649,0.0000043534314,0.000088977715,0.000017486227,0.0004098576,6.5731757e-7],"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":[0.000025255524,0.000008283117,0.0000023247057,0.002507887,0.00013617674,0.00004534861,0.000059341924,0.9039136,0.0829773,0.007935326,0.00005143519,0.0023377177],"study_design_scores_gemma":[0.0002996915,0.00015656905,0.000015149649,0.00197495,0.000054474156,0.00004842624,0.000025829599,0.990968,0.0027740144,0.00006631827,0.003505981,0.00011058168],"about_ca_topic_score_codex":0.000004356823,"about_ca_topic_score_gemma":3.3449197e-7,"teacher_disagreement_score":0.99183244,"about_ca_system_score_codex":0.00006833161,"about_ca_system_score_gemma":0.000026192634,"threshold_uncertainty_score":0.50020295},"labels":[],"label_agreement":null},{"id":"W4401386800","doi":"10.5220/0012871700004547","title":"Compare of Linear Regression Model and LSTM Neural Network in Machine Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Linear regression; Machine learning; Regression; Regression analysis; Statistics; Mathematics","score_opus":0.012286117621525032,"score_gpt":0.2361353380826941,"score_spread":0.22384922046116906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401386800","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":[0.89006597,0.016872741,0.08509601,0.000067781286,0.00032548528,0.00016687726,0.0000052617415,0.000553,0.0068468945],"genre_scores_gemma":[0.9987187,0.0000737122,0.00065781607,0.0000067406763,0.000057198526,0.0000017523284,0.0000036262927,0.000015144271,0.00046532828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961865,0.000011793268,0.00013470948,0.000078046134,0.0000507802,0.00010602844],"domain_scores_gemma":[0.99988115,0.000031730677,0.0000069743332,0.00005146044,0.0000055436185,0.000023140652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046145087,0.000069870446,0.00013904116,0.000032404594,0.000014508442,0.000007641149,0.000025645817,0.00002291939,0.000006647047],"category_scores_gemma":[0.0000035625026,0.00005324545,0.000018450246,0.00008316608,0.0000066920325,0.000054473632,0.000012203496,0.00014687175,0.0000016265209],"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":[0.000005714299,0.0000011949379,0.0020498536,0.00007422215,0.000004622051,0.0000048458974,0.00012717722,0.9916405,0.0016277984,0.00022307159,0.00005326066,0.004187755],"study_design_scores_gemma":[0.00012392436,0.0000075680555,0.00022770237,0.00011315416,0.0000026529565,0.0000033959357,0.00003256826,0.9987633,0.00007811566,0.00009586712,0.0004942682,0.00005744965],"about_ca_topic_score_codex":0.000021454864,"about_ca_topic_score_gemma":0.0000641133,"teacher_disagreement_score":0.108652726,"about_ca_system_score_codex":0.000008373349,"about_ca_system_score_gemma":0.0000016002163,"threshold_uncertainty_score":0.21712863},"labels":[],"label_agreement":null},{"id":"W4402382998","doi":"10.52330/jtm.v22i2.317","title":"Miniature Furnace Temperature Monitoring System Using Wireless-Based Resistance Temperature Detector Sensor","year":2024,"lang":"en","type":"article","venue":"Jurnal Teknologi dan Manajemen","topic":"Advanced Sensor and Control Systems","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":"Nickel Institute","funders":"","keywords":"Detector; Temperature measurement; Materials science; Optoelectronics; Wireless; Wireless sensor network; Electrical engineering; Environmental science; Automotive engineering; Computer science; Engineering; Physics; Telecommunications; Computer network; Thermodynamics","score_opus":0.009908090287499815,"score_gpt":0.23131634775530097,"score_spread":0.22140825746780116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402382998","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":[0.9704164,0.019956976,0.0010421352,0.00017756342,0.004117146,0.00054125366,0.00006511885,0.0027822738,0.0009010797],"genre_scores_gemma":[0.99501085,0.00008476877,0.0016147834,0.000026443275,0.0018101543,0.0000337371,0.000011204584,0.00016476386,0.0012432868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99742323,0.00011547424,0.0006251614,0.000599354,0.00047394188,0.0007628176],"domain_scores_gemma":[0.9989004,0.00012680613,0.00009391265,0.00056784897,0.000114073024,0.00019697155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024168164,0.00058079936,0.00059610576,0.00027328928,0.0002792879,0.00039022384,0.00040141057,0.00054547965,0.0000045748275],"category_scores_gemma":[0.000033485856,0.00049859256,0.00024122719,0.0006600993,0.00005384596,0.0002992373,0.000038412232,0.0012751264,0.000020108973],"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":[0.00007151256,0.000013758167,0.0006835765,0.001860289,0.00033713595,0.0018263616,0.00020173655,0.03070987,0.96236986,0.0004716412,0.00066025264,0.00079399545],"study_design_scores_gemma":[0.005001908,0.00043968007,0.0073955455,0.01887077,0.0011942431,0.0018301292,0.009352219,0.29531607,0.50413376,0.00015008572,0.14991148,0.0064041414],"about_ca_topic_score_codex":0.0000033853041,"about_ca_topic_score_gemma":0.00002151328,"teacher_disagreement_score":0.45823613,"about_ca_system_score_codex":0.0006956792,"about_ca_system_score_gemma":0.00006488346,"threshold_uncertainty_score":0.99974656},"labels":[],"label_agreement":null},{"id":"W4402452624","doi":"10.11159/icbes24.123","title":"Comparison of Short Fast Fourier Transform and Continuous Wavelet Transform in Study of Stride Interval","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknikal Malaysia Melaka","keywords":"Wavelet transform; Continuous wavelet transform; STRIDE; Harmonic wavelet transform; Fourier transform; Discrete Fourier transform (general); Interval (graph theory); Wavelet; Fractional Fourier transform; Short-time Fourier transform; Computer science; Mathematics; Discrete wavelet transform; Artificial intelligence; Fourier analysis; Mathematical analysis","score_opus":0.00827612687436884,"score_gpt":0.2360546870466193,"score_spread":0.22777856017225045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402452624","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":[0.9949781,0.0014970094,0.0023376688,0.000020103686,0.0004937035,0.00042460696,0.0000032384287,0.00004754476,0.00019803992],"genre_scores_gemma":[0.9997999,0.000026402548,0.00007463891,0.0000012518843,0.000037119848,0.000012780616,6.031722e-8,0.00001164582,0.00003620256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988034,0.0000038220705,0.00046087976,0.00022740735,0.00028254266,0.00022194663],"domain_scores_gemma":[0.9996948,0.00007718198,0.000035872934,0.00006509362,0.000061361796,0.00006563796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029324763,0.00016044099,0.00049734203,0.00031109562,0.0000340369,0.00007301906,0.00019063597,0.000033021894,1.17504285e-7],"category_scores_gemma":[0.00000801779,0.00011519643,0.000034889985,0.000663234,0.000088253095,0.00017923412,0.000026364598,0.00021052959,2.1007091e-8],"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":[0.00032221747,0.0007186127,0.041170347,0.009472001,0.00057690893,0.000016809025,0.016257353,0.14158075,0.10642809,0.038544524,0.00019347447,0.64471895],"study_design_scores_gemma":[0.00033015743,0.00035399408,0.0023230212,0.0006607038,0.000018141,0.0000148231775,0.00023276299,0.9913842,0.0044187303,0.000013507963,0.00012520689,0.00012472307],"about_ca_topic_score_codex":0.000025666417,"about_ca_topic_score_gemma":0.000010056207,"teacher_disagreement_score":0.8498035,"about_ca_system_score_codex":0.000026198224,"about_ca_system_score_gemma":0.000008308492,"threshold_uncertainty_score":0.4697574},"labels":[],"label_agreement":null},{"id":"W4402541908","doi":"10.1093/jas/skae234.364","title":"457 Prediction of methane emissions using rumination time and milk mid-infrared spectral data via artificial neural networks","year":2024,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Advanced Sensor and Control Systems","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":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Rumination; Methane; Artificial neural network; Infrared; Methane emissions; Environmental science; Biological system; Animal science; Chemistry; Artificial intelligence; Computer science; Biology; Physics; Organic chemistry","score_opus":0.029094263354663398,"score_gpt":0.27580025169892736,"score_spread":0.24670598834426397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402541908","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":[0.9422865,0.0010357883,0.05582259,0.000031782478,0.0006222425,0.000054727327,0.000015998516,0.000029087241,0.00010126536],"genre_scores_gemma":[0.99834347,0.000025897092,0.0012060269,0.0000022759277,0.00040580993,1.0452589e-7,0.0000014835927,0.0000071637164,0.000007796893],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990645,0.000017812483,0.0003351598,0.000119387114,0.00030289582,0.00016021624],"domain_scores_gemma":[0.99960667,0.000044837267,0.000078228266,0.00010300739,0.00007170473,0.00009557473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005349371,0.0000721112,0.00014609382,0.00013931848,0.000056034667,0.000063756605,0.00019314617,0.00003408777,0.000009531982],"category_scores_gemma":[0.000058994618,0.000059285157,0.000031450287,0.00038603746,0.00008851481,0.00087661884,0.000035614736,0.00015708298,5.1501723e-7],"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":[0.000026847376,0.0000054912416,0.000068391775,0.000011314305,0.000009430702,0.000012793799,0.00008819995,0.05221838,0.94341034,0.000013596145,0.00003246878,0.004102771],"study_design_scores_gemma":[0.00007363556,0.00012994817,0.0024075224,0.0000696079,0.000030407573,0.00021741791,0.000041005296,0.9739193,0.022937097,0.00008005769,0.000044817676,0.00004919258],"about_ca_topic_score_codex":0.0000049670734,"about_ca_topic_score_gemma":0.0000011563976,"teacher_disagreement_score":0.9217009,"about_ca_system_score_codex":0.00005669592,"about_ca_system_score_gemma":0.000037456895,"threshold_uncertainty_score":0.24175785},"labels":[],"label_agreement":null},{"id":"W4403282177","doi":"10.54097/a0q10t93","title":"Modelling And Research on Water Level Control of Great Lakes Based on Neural Network PID Algorithm","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"PID controller; Artificial neural network; Control (management); Computer science; Algorithm; Artificial intelligence; Control theory (sociology); Control engineering; Engineering; Temperature control","score_opus":0.022920247205528196,"score_gpt":0.25276611296070944,"score_spread":0.22984586575518123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403282177","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":[0.6340516,0.0029043981,0.35891366,0.0010378853,0.0012181429,0.00041930215,0.000022086084,0.0009871607,0.0004457725],"genre_scores_gemma":[0.99840474,0.000066222856,0.0013871352,0.0000045036622,0.00007358028,0.00002181076,5.297734e-7,0.000019276147,0.0000221822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998769,0.0000118135185,0.00018412336,0.0003119908,0.00023643048,0.00048663537],"domain_scores_gemma":[0.99953985,0.0001653885,0.000006264936,0.00019779727,0.000038723738,0.0000519789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047500306,0.00014303843,0.00021896021,0.0009475197,0.000080571874,0.000042540203,0.00015532169,0.000114807444,9.4082634e-7],"category_scores_gemma":[0.00001603552,0.00010182101,0.0000154511,0.00081195356,0.0002578738,0.000095262694,0.00002344012,0.0003416304,0.000005744986],"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":[0.0000044980657,0.0000038131554,0.000013071685,0.00003682208,0.0000040626296,0.000024546947,0.000042988635,0.97074133,0.011413197,0.014043945,0.0000061464416,0.0036655713],"study_design_scores_gemma":[0.00024040027,0.000106282474,0.000015172585,0.00017373843,0.0000026004407,0.000009345925,0.000014414817,0.98443013,0.012793683,0.0005064605,0.0015921461,0.00011563356],"about_ca_topic_score_codex":0.0000067447027,"about_ca_topic_score_gemma":0.0000017220982,"teacher_disagreement_score":0.36435318,"about_ca_system_score_codex":0.00004621266,"about_ca_system_score_gemma":0.000009393508,"threshold_uncertainty_score":0.41521403},"labels":[],"label_agreement":null},{"id":"W4403493428","doi":"10.23977/acss.2024.080611","title":"Research on the Application and Development Technology of Microcontrollers in Electronic Technology","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcontroller; Technology development; Development (topology); Computer science; Embedded system; Manufacturing engineering; Systems engineering; Engineering; Mathematics","score_opus":0.01315612416409828,"score_gpt":0.282416566759389,"score_spread":0.2692604425952907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403493428","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":[0.3893608,0.2479119,0.36024517,0.00034464942,0.00029586125,0.0012818003,0.000002443878,0.0001910236,0.00036636],"genre_scores_gemma":[0.99801236,0.0014784674,0.00022435837,0.0000049922005,0.00003481933,0.00022505419,4.9286734e-7,0.00001196353,0.000007489738],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990456,0.00005137528,0.00031180645,0.00021963306,0.0001047814,0.00026679193],"domain_scores_gemma":[0.9995221,0.00027512145,0.000021727114,0.00013943904,0.000027470378,0.00001417409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005168462,0.00010299931,0.00024352575,0.0005642044,0.00003418778,0.000023968438,0.00012384396,0.00009498781,3.8061876e-7],"category_scores_gemma":[0.000003822216,0.0000747757,0.0000093970075,0.00057493115,0.000077073186,0.0000642377,0.000029323755,0.00029216087,0.0000027287017],"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":[0.000030757066,0.000029751278,0.0018850262,0.0007728205,0.000067534726,0.000018157833,0.00062579004,0.23464458,0.02182332,0.12054409,0.00003383115,0.61952436],"study_design_scores_gemma":[0.00097311527,0.00027506717,0.00017424424,0.0014019122,0.0000037564187,0.00005927632,0.0016631361,0.86383533,0.0043993406,0.01099528,0.115881056,0.0003385123],"about_ca_topic_score_codex":0.0000065821364,"about_ca_topic_score_gemma":0.000052338204,"teacher_disagreement_score":0.62919074,"about_ca_system_score_codex":0.00007097191,"about_ca_system_score_gemma":0.000017812798,"threshold_uncertainty_score":0.30492646},"labels":[],"label_agreement":null},{"id":"W4403905455","doi":"10.59934/jaiea.v4i1.634","title":"Design and Build Automatic Fan Control Based Internet of Things","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Advanced Sensor and Control Systems","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Internet of Things; Computer science; Control (management); Fan-out; The Internet; World Wide Web; Computer security; Advertising; Business; Telecommunications; Artificial intelligence","score_opus":0.014736563614822881,"score_gpt":0.2373882858810035,"score_spread":0.22265172226618063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403905455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011915003,0.0030021986,0.98452276,0.00007866441,0.00015829505,0.00018827274,0.0000025438223,0.00010308884,0.000029179097],"genre_scores_gemma":[0.9830236,0.00008775722,0.016726121,0.000013078567,0.000098579796,0.000019717214,6.064497e-7,0.000023728711,0.0000068026975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991091,0.000012900941,0.0005256184,0.00010038015,0.00012289257,0.00012909067],"domain_scores_gemma":[0.99940675,0.00027261497,0.000063322994,0.000103311184,0.00007339134,0.000080585196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029198301,0.000130357,0.00025164252,0.0002150434,0.000023106004,0.00007026732,0.00010519808,0.000059777434,0.0000074433115],"category_scores_gemma":[0.000027747281,0.000118155054,0.000053785086,0.00021186874,0.00003556882,0.00018448674,0.000006737141,0.00019016543,0.000004510099],"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":[0.00001776102,0.000025728861,0.00001558854,0.0005119666,0.00015614151,0.000009482723,0.0006167087,0.6777686,0.11411791,0.0080326125,0.000059608697,0.19866788],"study_design_scores_gemma":[0.000038734386,0.00006341556,0.000023575476,0.00019845413,0.00005198461,0.000041686864,0.00008764565,0.9779451,0.0195303,0.0010128949,0.0008974929,0.000108739885],"about_ca_topic_score_codex":0.0000050372128,"about_ca_topic_score_gemma":3.5273683e-7,"teacher_disagreement_score":0.9711086,"about_ca_system_score_codex":0.000028682143,"about_ca_system_score_gemma":0.000017660477,"threshold_uncertainty_score":0.48182234},"labels":[],"label_agreement":null},{"id":"W4404022212","doi":"10.23977/jemm.2024.090217","title":"Research on Real Time Condition Monitoring and Fault Warning System for Construction Machinery under Multi Source Heterogeneous Data Fusion","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Mechanics and Machinery","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fault (geology); Warning system; Sensor fusion; Fusion; Computer science; Reliability engineering; Real-time computing; Data mining; Systems engineering; Engineering; Artificial intelligence; Seismology; Geology; Telecommunications","score_opus":0.02792334450197336,"score_gpt":0.2952330676893478,"score_spread":0.26730972318737445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404022212","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":[0.2830439,0.003748965,0.7107534,0.00002016206,0.0019245965,0.0002034233,0.000065152395,0.00021796612,0.000022460748],"genre_scores_gemma":[0.99459875,0.0005243311,0.004010079,0.0000014615896,0.00074046524,0.000005752267,0.000018858555,0.000069378795,0.000030943218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988844,0.000038172428,0.0003738926,0.0002098809,0.0002490753,0.00024459092],"domain_scores_gemma":[0.99926364,0.0003023616,0.00005759715,0.00017670236,0.00007899881,0.000120674624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008054036,0.00018513273,0.0002860491,0.0003381701,0.00011054857,0.0001328261,0.00011965846,0.00011315053,0.0000010495224],"category_scores_gemma":[0.000042271353,0.00016232884,0.000048184218,0.00011279359,0.000007655445,0.0002269056,0.000055739343,0.0004604593,0.0000013310392],"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":[0.000039440714,0.000006936052,0.0000037110592,0.0006516074,0.00012539678,0.00003683657,0.00007623486,0.72356004,0.2613188,0.0015961449,0.00003416037,0.012550655],"study_design_scores_gemma":[0.00044856322,0.00013711707,0.000011683308,0.0008058222,0.00004644346,0.00068026147,0.00017536792,0.99425906,0.0023706527,0.00009987257,0.00080826896,0.00015689245],"about_ca_topic_score_codex":0.000007709751,"about_ca_topic_score_gemma":6.2910175e-7,"teacher_disagreement_score":0.7115548,"about_ca_system_score_codex":0.00011838424,"about_ca_system_score_gemma":0.000013113722,"threshold_uncertainty_score":0.6619578},"labels":[],"label_agreement":null},{"id":"W4404307148","doi":"10.1109/taes.2024.3496857","title":"An Efficient and Generalizable Transfer Learning Method for Weather Condition Detection on Ground Terminals","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"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 Manitoba; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transfer of learning; Weather forecasting; Remote sensing; Meteorology; Environmental science; Artificial intelligence; Physics; Geology","score_opus":0.006804505674321566,"score_gpt":0.2521543477093637,"score_spread":0.24534984203504212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404307148","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":[0.18740538,0.0020604702,0.809076,0.000021136688,0.0005656196,0.0004959429,0.00001650166,0.00029661995,0.000062295214],"genre_scores_gemma":[0.99840635,0.00027851344,0.00007370658,0.000015609487,0.00013703344,0.000278954,0.0000039728234,0.00006691387,0.0007389384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889904,0.00008594504,0.00019194953,0.00032986954,0.00012246682,0.00037075207],"domain_scores_gemma":[0.999647,0.00011565291,0.000012220052,0.00012255386,0.000021307987,0.00008122265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025779827,0.00022015476,0.00024461542,0.0001347592,0.00023217076,0.0001674848,0.000034452827,0.00012660609,0.0000050102735],"category_scores_gemma":[8.110825e-7,0.00020356136,0.00007184416,0.00012539544,0.00001676728,0.00010828479,1.3913021e-7,0.00027418954,0.000005847084],"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":[0.000056448425,0.000020144664,4.7618607e-7,0.00021225057,0.0000894308,0.0000014226567,0.00038927974,0.82412785,0.15990715,0.00044730198,0.000008953781,0.014739291],"study_design_scores_gemma":[0.00058382394,0.0008214196,0.0000051187326,0.0001343279,0.0000949141,0.00008614509,0.0004190995,0.9614786,0.029878173,0.000033749173,0.006209593,0.00025506847],"about_ca_topic_score_codex":0.00010589956,"about_ca_topic_score_gemma":0.000118655036,"teacher_disagreement_score":0.811001,"about_ca_system_score_codex":0.00015599665,"about_ca_system_score_gemma":0.0000112429325,"threshold_uncertainty_score":0.83009917},"labels":[],"label_agreement":null},{"id":"W4404325569","doi":"10.1201/9781003496724-24","title":"Backstepping control based on neural network estimation","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Backstepping; Estimation; Artificial neural network; Computer science; Control (management); Artificial intelligence; Neuroscience; Control theory (sociology); Psychology; Engineering; Adaptive control; Systems engineering","score_opus":0.007404145550091084,"score_gpt":0.19465453538329916,"score_spread":0.18725038983320808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404325569","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":[0.0000013723916,0.00094410114,0.14171627,0.00006166428,0.0016477079,0.00035981997,0.00002222747,0.0009778605,0.85426897],"genre_scores_gemma":[0.4698137,0.000015092676,0.0006141962,0.00051272596,0.0017977012,0.00003059753,0.000077033845,0.00028662756,0.5268523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989583,0.0000054998686,0.00032281576,0.00024860128,0.00020939588,0.0002554033],"domain_scores_gemma":[0.9994473,0.00013135823,0.00003853219,0.00028845988,0.000023892706,0.00007046404],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006183211,0.00036684307,0.0004062595,0.00009098342,0.00003777844,0.00006101835,0.000089446985,0.00023535844,0.0002818005],"category_scores_gemma":[0.000004206782,0.00033283042,0.00017668873,0.00002337027,0.0000130012795,0.0000471237,0.000006127871,0.00038805258,0.00081704755],"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":[0.00001148679,7.585542e-7,3.809339e-7,0.000102681,0.000058640344,0.000022241187,0.0000031035906,0.9506194,0.000014250644,0.04102836,0.0024209751,0.0057177343],"study_design_scores_gemma":[0.00033308138,0.000027836668,0.0000013183643,0.00035598018,0.00006525285,0.000003550211,9.920552e-7,0.9326643,0.000001934498,0.0039328756,0.062299054,0.00031385024],"about_ca_topic_score_codex":0.0000018485871,"about_ca_topic_score_gemma":0.000006913053,"teacher_disagreement_score":0.46981233,"about_ca_system_score_codex":0.00010295306,"about_ca_system_score_gemma":0.000007408833,"threshold_uncertainty_score":0.99996096},"labels":[],"label_agreement":null},{"id":"W4404424352","doi":"10.18280/ts.410531","title":"Optimization Strategy for Intelligent Traffic Monitoring Systems Based on Image Recognition","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Image (mathematics); Computer vision; Real-time computing","score_opus":0.029179056594201423,"score_gpt":0.25066431184579285,"score_spread":0.22148525525159143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404424352","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":[0.015174663,0.0005899014,0.98067087,0.000017226534,0.0012360128,0.00081913325,0.0000793313,0.0006844978,0.00072836963],"genre_scores_gemma":[0.9976926,0.000024193838,0.0011140825,0.0000060244106,0.00071461016,0.00026623107,0.00008378057,0.000055997978,0.000042502143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990486,0.000025270609,0.00030963597,0.00020621161,0.00018336726,0.00022692642],"domain_scores_gemma":[0.9996726,0.00011031314,0.000021857306,0.00008565929,0.000048661088,0.000060913837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015806932,0.00017837362,0.00015725201,0.00012603632,0.000054344557,0.0001738363,0.00006092347,0.000058218197,0.000059957667],"category_scores_gemma":[0.0000046322457,0.00017291869,0.00008947332,0.000112775415,0.000008404432,0.00015672382,0.0000018764491,0.00009251832,0.000032049793],"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":[0.00003473117,0.00002265304,0.0000015507097,0.00035739082,0.00003943638,0.0000062908707,0.00006277792,0.96704954,0.00484944,0.000049411454,0.00014072267,0.027386047],"study_design_scores_gemma":[0.0003849291,0.00017576791,0.0000066270604,0.00032081915,0.00003514363,0.0000021395276,0.00021098598,0.99503237,0.0028214946,0.000013512139,0.0008055447,0.00019065526],"about_ca_topic_score_codex":0.0000022316672,"about_ca_topic_score_gemma":4.943134e-7,"teacher_disagreement_score":0.9825179,"about_ca_system_score_codex":0.0001481554,"about_ca_system_score_gemma":0.0000124733915,"threshold_uncertainty_score":0.70514196},"labels":[],"label_agreement":null},{"id":"W4404458092","doi":"10.23977/aetp.2024.080622","title":"Application of Technical Standards and Cascade Control Theory in Undergraduate Program for Unmanned Aerial Vehicle System Engineering Major","year":2024,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cascade; Systems engineering; Aeronautics; Engineering; Computer science; Aerospace engineering; Control engineering","score_opus":0.003323449213034029,"score_gpt":0.29821850677645567,"score_spread":0.29489505756342166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404458092","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":[0.29556817,0.120731,0.5713298,0.004605135,0.0021608104,0.0030628773,0.00019901215,0.0011216237,0.0012215739],"genre_scores_gemma":[0.99655026,0.0004182683,0.0020125974,0.000012326411,0.00006696697,0.0009078264,0.000007521332,0.00001784768,0.0000063598673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922633,0.000019376854,0.00028558026,0.00023521722,0.000052253177,0.00018125857],"domain_scores_gemma":[0.9995374,0.000267235,0.00002825697,0.000117067546,0.00002859658,0.000021418155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002392855,0.000112326925,0.0002270134,0.0003701641,0.000019773423,0.000005892459,0.00007871798,0.00019694977,7.653823e-7],"category_scores_gemma":[0.000050597646,0.00011245946,0.000018977216,0.00032926473,0.00012638757,0.00009502159,0.000007627093,0.00017803647,4.7101088e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018066744,0.0000643283,0.0025810732,0.0007082364,0.00004051417,0.0000029889356,0.000058199577,0.0040527247,0.01683512,0.8956627,0.000028029554,0.0797854],"study_design_scores_gemma":[0.007964081,0.0008197367,0.020868752,0.0008482172,0.00009798554,0.0005340682,0.000648502,0.16380957,0.0017892702,0.7200739,0.081606895,0.0009390326],"about_ca_topic_score_codex":0.0000015910581,"about_ca_topic_score_gemma":0.000028205966,"teacher_disagreement_score":0.7009821,"about_ca_system_score_codex":0.000074658696,"about_ca_system_score_gemma":0.000018783523,"threshold_uncertainty_score":0.45859635},"labels":[],"label_agreement":null},{"id":"W4405386772","doi":"10.1007/s00500-024-10371-4","title":"Application of SaRT–SVM algorithm for leakage pattern recognition of hydraulic check valve","year":2024,"lang":"en","type":"article","venue":"Soft Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Key Technology Research and Development Program of Shandong; Yangzhou City Agricultural Key R and D Program; Natural Science Foundation of Hunan Province","keywords":"Support vector machine; Robustness (evolution); Leakage (economics); Computer science; Algorithm; Artificial intelligence; Pattern recognition (psychology); Leak detection; Fault detection and isolation; Leak; Data mining; Engineering; Actuator","score_opus":0.010540436186104764,"score_gpt":0.23531577144372562,"score_spread":0.22477533525762086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405386772","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":[0.03293996,0.0007651884,0.9651189,0.00000815981,0.00029454674,0.0002752776,0.00003297969,0.00022970373,0.00033527735],"genre_scores_gemma":[0.99316907,0.0000046762752,0.0064610173,0.000008801556,0.00026451048,0.000013106556,0.000038628255,0.00003087793,0.000009303478],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993435,0.000008589912,0.00029369144,0.0001350941,0.0000847279,0.00013439034],"domain_scores_gemma":[0.99962604,0.00014368427,0.000052154664,0.00010612905,0.00005095452,0.000021055792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001256959,0.00009108172,0.00018118646,0.000057121848,0.000022036125,0.000009987008,0.00005893977,0.00004905953,0.000002093745],"category_scores_gemma":[0.000011052944,0.00009719162,0.00011802727,0.00011426639,0.000011589186,0.00005137427,0.000010770516,0.00007040987,0.000010597593],"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":[0.0000010131678,0.0000064936785,0.000051097515,0.0004574488,0.00004810714,3.533139e-7,0.00027869164,0.020300757,0.01615847,0.0000136811295,0.000033699347,0.9626502],"study_design_scores_gemma":[0.00018646343,0.000023882985,0.00018253723,0.00016067197,0.000024437893,0.0000032934636,0.000078735284,0.9875009,0.010438256,0.0005116722,0.00079199794,0.00009716829],"about_ca_topic_score_codex":0.000019672212,"about_ca_topic_score_gemma":0.0000018555864,"teacher_disagreement_score":0.9672001,"about_ca_system_score_codex":0.000023845507,"about_ca_system_score_gemma":0.0000050334584,"threshold_uncertainty_score":0.39633593},"labels":[],"label_agreement":null},{"id":"W4405884813","doi":"10.23977/jnca.2024.090104","title":"Design of a ship fault diagnosis system based on a radial basis neural network","year":2024,"lang":"en","type":"article","venue":"Journal of Network Computing and Applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Fault (geology); Computer science; Basis (linear algebra); Radial basis function; Artificial intelligence; Marine engineering; Geology; Engineering; Seismology; Mathematics","score_opus":0.01445350789719752,"score_gpt":0.23550150590571953,"score_spread":0.221047998008522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405884813","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":[0.008433568,0.005877161,0.9843985,0.000084738815,0.00056517584,0.0002678115,0.0000033268443,0.000134375,0.00023534216],"genre_scores_gemma":[0.99267125,0.000067422996,0.0045421915,0.000029855792,0.0026380979,0.0000200504,0.0000011099978,0.000025533629,0.0000045156644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897945,0.00007667971,0.00047790314,0.00011074235,0.00014965137,0.00020554726],"domain_scores_gemma":[0.9987871,0.0008207459,0.00012631898,0.00012465657,0.000053686173,0.000087485845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003879989,0.00012857809,0.00030064577,0.00006912639,0.00010525947,0.000053176314,0.0001108766,0.000055379944,0.0000014153325],"category_scores_gemma":[0.00000728923,0.00011124746,0.00010188668,0.0003538332,0.000019758916,0.000037955513,0.000008672652,0.00023076765,0.0000017666532],"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":[0.000015436646,0.000009533275,0.00033243623,0.00011920111,0.00005263439,0.0000067476326,0.0000381544,0.9662337,0.000031273765,0.0007173841,0.0016117456,0.030831752],"study_design_scores_gemma":[0.00021934605,0.00007884677,0.00025206397,0.00065768335,0.00006431315,0.000051066894,0.000029443767,0.9951615,0.0000117900345,0.00013504241,0.0032424463,0.00009649324],"about_ca_topic_score_codex":0.0000015458899,"about_ca_topic_score_gemma":3.894131e-7,"teacher_disagreement_score":0.9842377,"about_ca_system_score_codex":0.000046885507,"about_ca_system_score_gemma":0.000017235625,"threshold_uncertainty_score":0.45365396},"labels":[],"label_agreement":null},{"id":"W4407093316","doi":"10.48550/arxiv.2501.18875","title":"Self-Supervised Learning Using Nonlinear Dependence","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Artificial intelligence; Computer science; Machine learning; Econometrics; Mathematics; Psychology; Physics","score_opus":0.026576446543702528,"score_gpt":0.25474106571274785,"score_spread":0.22816461916904532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407093316","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":[0.93970716,0.0022996017,0.047029346,0.000019498455,0.0019951626,0.0004641912,0.000025839458,0.0016849043,0.006774323],"genre_scores_gemma":[0.9885344,0.00026787064,0.009704683,0.000038975275,0.00059376867,0.0000275837,0.000031332635,0.00007500386,0.00072641653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983284,0.00007322735,0.00044408135,0.0004854126,0.00022841839,0.0004404945],"domain_scores_gemma":[0.999065,0.00008658552,0.000083827996,0.0005685841,0.000094400006,0.000101604586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014243748,0.000417929,0.0005456104,0.0001334747,0.00012665482,0.00005386539,0.00039437212,0.00039011263,0.000028820587],"category_scores_gemma":[0.00006153939,0.00046371506,0.00019447466,0.0001648286,0.00001780242,0.00010619871,0.00027635595,0.0012893378,0.0000931008],"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":[0.0000102663025,0.00002155516,0.07915468,0.001003375,0.00026096156,0.00004781052,0.00047050833,0.9098435,0.00725621,0.000018522047,0.00001762708,0.0018949716],"study_design_scores_gemma":[0.00039540004,0.000010964956,0.0017687719,0.00040253007,0.000107912514,0.000008929584,0.00014173253,0.9891791,0.0014376122,0.000033687433,0.0059477803,0.00056562986],"about_ca_topic_score_codex":0.00008418834,"about_ca_topic_score_gemma":0.000018714118,"teacher_disagreement_score":0.07933553,"about_ca_system_score_codex":0.00020354213,"about_ca_system_score_gemma":0.000078839344,"threshold_uncertainty_score":0.9997814},"labels":[],"label_agreement":null},{"id":"W4407245763","doi":"10.1016/j.jpse.2025.100265","title":"Active control of natural gas pipeline system based on Box-Jenkins method","year":2025,"lang":"en","type":"article","venue":"Journal of Pipeline Science and Engineering","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Box–Jenkins; Pipeline (software); Natural gas; Control (management); Natural (archaeology); Computer science; Petroleum engineering; Environmental science; Engineering; Artificial intelligence; Waste management; Machine learning; History; Operating system; Archaeology","score_opus":0.0036726079675736306,"score_gpt":0.23138883891574794,"score_spread":0.2277162309481743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407245763","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":[0.020852426,0.0008923907,0.97553533,0.0001445984,0.0014137549,0.00013522703,0.000009272751,0.00006632664,0.0009506914],"genre_scores_gemma":[0.99429095,0.000020404392,0.0054048602,0.000048452555,0.00018780677,0.000001961623,2.9174328e-7,0.000013681881,0.000031568532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852866,0.000020977372,0.00056677003,0.000141096,0.00046443773,0.00027807563],"domain_scores_gemma":[0.99893314,0.00022892654,0.00013646475,0.00016283787,0.0004279064,0.00011071312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010193851,0.00017943794,0.00047174713,0.00060429564,0.000058644644,0.00003378319,0.00024509424,0.00005025881,0.0000015624545],"category_scores_gemma":[0.00033515875,0.00014426101,0.000099371944,0.000658783,0.00005016127,0.00026899556,0.000013852454,0.00031320791,6.28993e-7],"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":[0.00007131073,0.000012574979,0.000029734903,0.00018640957,0.00002351828,0.000012359879,0.00005714553,0.7983494,0.18728162,0.0005080221,0.00008206766,0.013385841],"study_design_scores_gemma":[0.0011878645,0.00006041885,0.00026538444,0.00047030547,0.00004193628,0.000036206726,0.00021509433,0.96589077,0.030799724,0.000010982407,0.000901301,0.00012004003],"about_ca_topic_score_codex":0.000004872627,"about_ca_topic_score_gemma":0.0000010379134,"teacher_disagreement_score":0.97343856,"about_ca_system_score_codex":0.0001763004,"about_ca_system_score_gemma":0.00008916508,"threshold_uncertainty_score":0.58827937},"labels":[],"label_agreement":null},{"id":"W4407691491","doi":"10.1109/mecom61498.2024.10881928","title":"A Low-Complexity Envelope-Based Method for Efficient Sensing and Communication in Remote Vibration-Based Condition Monitoring","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","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":"Western University","funders":"","keywords":"Envelope (radar); Vibration; Computer science; Condition monitoring; Acoustics; Remote sensing; Electronic engineering; Telecommunications; Geology; Engineering; Physics; Electrical engineering","score_opus":0.022952430160749444,"score_gpt":0.2956730658893505,"score_spread":0.27272063572860106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407691491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034628738,0.00030796963,0.9636792,0.00014353424,0.00017382896,0.00037479517,0.000009076535,0.0003140838,0.00036877958],"genre_scores_gemma":[0.82965547,0.0000028065076,0.17021759,0.000022399126,0.000038148704,0.00000790132,0.00002628783,0.000020000429,0.00000937786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937,0.000056941823,0.00021400732,0.00014615008,0.00007753924,0.00013536976],"domain_scores_gemma":[0.9993095,0.00045123333,0.00001609431,0.00015991146,0.000031405747,0.00003189329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026728003,0.00010467365,0.00013793983,0.00011518696,0.00006407438,0.00007147287,0.000037693262,0.00005030133,0.0000032569073],"category_scores_gemma":[0.00002853874,0.00010550628,0.000032506505,0.00013917664,0.00001628816,0.000061709696,0.000005122666,0.00009325327,0.0000023081095],"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":[0.00001717914,0.0000065544837,0.000021586644,0.0003326811,0.000008565125,0.0000018316551,0.00013830792,0.8985857,0.065985456,0.0008620124,0.000008780142,0.034031384],"study_design_scores_gemma":[0.0004521705,0.000009682742,0.00035908786,0.00025287183,0.000007609793,0.0000012223262,0.00007753441,0.953453,0.04454938,0.0005430507,0.0001795762,0.000114794624],"about_ca_topic_score_codex":0.00011943742,"about_ca_topic_score_gemma":0.00008039795,"teacher_disagreement_score":0.7950268,"about_ca_system_score_codex":0.00010831674,"about_ca_system_score_gemma":0.000020429243,"threshold_uncertainty_score":0.43024215},"labels":[],"label_agreement":null},{"id":"W4407865510","doi":"10.23977/jeis.2025.100103","title":"Synchronous detection system for temperature and strain in partial discharges of three-phase cables based on FBG and neural networks","year":2025,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Henan Polytechnic University","keywords":"Strain (injury); Phase (matter); Materials science; Artificial neural network; Computer science; Physics; Artificial intelligence; Biology; Anatomy","score_opus":0.0031769779902481735,"score_gpt":0.22116434149257344,"score_spread":0.21798736350232525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407865510","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":[0.7953948,0.0009393909,0.20327596,0.000044864093,0.0001428724,0.00015006059,0.0000061966966,0.0000063274947,0.00003956189],"genre_scores_gemma":[0.9997984,0.00008809344,0.000074407275,0.000015966749,0.00001792682,0.0000026603395,5.6268084e-7,0.0000015177859,4.4057265e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994525,0.000006706982,0.00028210884,0.000038989692,0.00009614066,0.00012357639],"domain_scores_gemma":[0.99971145,0.000042175863,0.000100865735,0.000036438127,0.0000774654,0.000031576914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003916803,0.000056120065,0.00012823528,0.00018086488,0.00007186117,0.000068789755,0.000040334482,0.00003148248,1.1615904e-7],"category_scores_gemma":[0.000031483203,0.00004353801,0.0000143099305,0.00017904215,0.000035490993,0.0009090391,0.000003835828,0.0001048562,6.399125e-9],"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":[0.00024102825,0.000012890331,0.00045281797,0.00030353933,0.000011038129,4.7823033e-7,0.00020091071,0.85344756,0.056042083,0.0038048616,0.0000043502214,0.08547843],"study_design_scores_gemma":[0.00093129993,0.0002812069,0.0009046354,0.00007827055,0.0000060567722,0.000011099415,0.00013351714,0.9940477,0.0034487764,0.0000318553,0.0000858655,0.00003974196],"about_ca_topic_score_codex":0.0000019380159,"about_ca_topic_score_gemma":0.000016734059,"teacher_disagreement_score":0.20440367,"about_ca_system_score_codex":0.00005567568,"about_ca_system_score_gemma":0.00004104096,"threshold_uncertainty_score":0.17754285},"labels":[],"label_agreement":null},{"id":"W4407867817","doi":"10.23977/acss.2025.090103","title":"Design and Implementation of an Intelligent Gesture Recognition and In-Vehicle System Based on OpenCV","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Gesture; Gesture recognition; Artificial intelligence; Human–computer interaction; Computer vision","score_opus":0.017577642995762466,"score_gpt":0.2702855288460101,"score_spread":0.2527078858502476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407867817","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":[0.4322227,0.007386007,0.5591967,0.000008123,0.0003186631,0.00073864276,0.000008902918,0.000040796745,0.00007946821],"genre_scores_gemma":[0.9981505,0.0003104328,0.001416715,0.00002040514,0.000032518943,0.00005330807,0.000005386208,0.000009099232,0.0000016348966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904746,0.00014327872,0.00038299643,0.0002103988,0.00008544265,0.0001304392],"domain_scores_gemma":[0.99959475,0.0001869432,0.000056118453,0.00009858864,0.00002853879,0.000035045723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003161514,0.00012926232,0.00029212504,0.00016016186,0.000026414911,0.000043672913,0.00004835528,0.000051457126,5.8572977e-7],"category_scores_gemma":[0.0000019041655,0.000119216464,0.0000107359465,0.00012886232,0.000016882492,0.0002336619,0.000012056542,0.000071015835,2.725823e-7],"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":[0.00006407888,0.000020184109,0.0031988707,0.0011993748,0.000013901678,0.000009936252,0.0004116432,0.79477423,0.0022143128,0.00020319178,0.000003998945,0.19788627],"study_design_scores_gemma":[0.0009024335,0.00016876902,0.0019930105,0.0010097797,0.0000066492876,0.0000055416954,0.00078796066,0.9932496,0.0014961695,0.00016800796,0.00008133396,0.00013075516],"about_ca_topic_score_codex":0.0000636678,"about_ca_topic_score_gemma":0.00005771227,"teacher_disagreement_score":0.5659278,"about_ca_system_score_codex":0.00003782625,"about_ca_system_score_gemma":0.0000066591297,"threshold_uncertainty_score":0.48615062},"labels":[],"label_agreement":null},{"id":"W4407904272","doi":"10.2139/ssrn.5124561","title":"Dynamic Temperature Goodness For Enhanced Forward-Forward Learning","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Forward rate; Forward scatter; Forward market; Computer science; Physics; Optics; Futures contract; Economics; Financial economics","score_opus":0.003352730485495289,"score_gpt":0.23183613510245574,"score_spread":0.22848340461696046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407904272","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":[0.06893158,0.025270326,0.8962493,0.00018388031,0.004495814,0.0013163551,0.000089808156,0.000707921,0.002755044],"genre_scores_gemma":[0.9793175,0.0058538765,0.00043124618,0.00002195438,0.00066812587,0.0001657459,0.00009032793,0.00012340466,0.013327809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955731,0.00008334392,0.00066347595,0.00046775295,0.0003025107,0.002909832],"domain_scores_gemma":[0.9989445,0.00011035906,0.00023130007,0.00037808475,0.00021270971,0.00012301945],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00084214,0.00060212816,0.0008531199,0.0002628196,0.00031218358,0.00016813155,0.00060072384,0.0006335195,0.000007466141],"category_scores_gemma":[0.00009959865,0.00058972044,0.0006014531,0.00016791209,0.000022736043,0.00013245268,0.000098901844,0.008036157,0.000009258554],"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":[0.00016953851,0.0000292578,0.000028819564,0.00081518997,0.0018881743,0.000005874099,0.00038483305,0.93559694,0.019836262,0.0085748825,0.00014497925,0.032525238],"study_design_scores_gemma":[0.009605468,0.001084337,0.000079363854,0.0031024865,0.0015205955,0.00078719045,0.009629524,0.38347775,0.008118475,0.54177123,0.035634957,0.0051886262],"about_ca_topic_score_codex":0.0000090826115,"about_ca_topic_score_gemma":0.00032140917,"teacher_disagreement_score":0.9103859,"about_ca_system_score_codex":0.002384296,"about_ca_system_score_gemma":0.0013186595,"threshold_uncertainty_score":0.9996554},"labels":[],"label_agreement":null},{"id":"W4408173570","doi":"10.23977/jeeem.2025.080105","title":"Research on the Control of Chaotic Systems Based on the Small Gain Theorem","year":2025,"lang":"en","type":"article","venue":"Journal of Electrotechnology Electrical Engineering and Management","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Small-gain theorem; Automatic gain control; Control theory (sociology); Chaotic; Chaotic systems; Control (management); Computer science; Mathematics; Artificial intelligence; Telecommunications; Machine learning; Stability (learning theory)","score_opus":0.009545055899150886,"score_gpt":0.2247545412453942,"score_spread":0.21520948534624332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408173570","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":[0.04045488,0.007239409,0.9356448,0.0086883055,0.00046420243,0.0016219986,0.000002020602,0.00023964597,0.0056447587],"genre_scores_gemma":[0.999262,0.0003652602,0.00005324505,0.0001147205,0.00004190731,0.000054761837,9.681125e-8,0.000018315352,0.000089692425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998674,0.0001270883,0.0003906304,0.00012318252,0.00027370974,0.00041143224],"domain_scores_gemma":[0.99838287,0.001113769,0.000073801304,0.00030674538,0.0000894081,0.00003341121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013828934,0.00016323852,0.00033064713,0.00067921693,0.000088097106,0.000025665528,0.00038679878,0.00010923493,0.0000015123292],"category_scores_gemma":[0.00019182298,0.000092935086,0.00008457277,0.00080860127,0.00005833329,0.000014873236,0.000018036788,0.001056238,0.0000013164495],"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":[0.00008945886,0.000033302298,0.0000030370734,0.000093931274,0.00026131925,0.000019088662,0.000005415591,0.5164389,0.0063561173,0.4734438,0.00054439186,0.0027112374],"study_design_scores_gemma":[0.00083244947,0.000747053,0.000053797667,0.0002903428,0.000060156508,0.00001751634,0.00007897442,0.98533344,0.0058813943,0.0019690827,0.0046242024,0.00011161033],"about_ca_topic_score_codex":0.0000020509,"about_ca_topic_score_gemma":3.3623888e-7,"teacher_disagreement_score":0.9588071,"about_ca_system_score_codex":0.00013304852,"about_ca_system_score_gemma":0.000014612025,"threshold_uncertainty_score":0.45888868},"labels":[],"label_agreement":null},{"id":"W4408253627","doi":"10.23977/jnca.2025.100104","title":"Design of Multi-functional Remote-control Terminal for IoT","year":2025,"lang":"en","type":"article","venue":"Journal of Network Computing and Applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Terminal (telecommunication); Internet of Things; Computer science; Control (management); Embedded system; Computer network; Artificial intelligence","score_opus":0.015066058658632444,"score_gpt":0.2553011567456427,"score_spread":0.24023509808701024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408253627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001605901,0.0015773352,0.9962827,0.00005044266,0.00016588364,0.00022849321,0.0000017619217,0.000020380916,0.00006709778],"genre_scores_gemma":[0.9352438,0.000023430634,0.06404411,0.000031886426,0.0005916701,0.0000042676206,6.4125226e-7,0.0000075913686,0.000052648626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994132,0.000017813129,0.00035159133,0.00005837362,0.00005317508,0.0001058684],"domain_scores_gemma":[0.99928427,0.0003692264,0.00013306491,0.000068606,0.00011391773,0.000030927295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022931556,0.00006702796,0.0001969915,0.000047922258,0.00008998347,0.000010415924,0.00006355454,0.00003548316,5.293626e-7],"category_scores_gemma":[0.00001152174,0.00006126806,0.000057465557,0.000106265725,0.000017342012,0.000015974736,0.0000053118283,0.000093078954,2.1248216e-7],"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":[0.000025380958,0.000011229538,0.00010488069,0.00003366702,0.00006113911,2.459763e-7,0.000013422259,0.9340578,0.0013286015,0.000649681,0.00047769118,0.063236296],"study_design_scores_gemma":[0.0009976497,0.00003113825,0.00091263524,0.00009668955,0.000052624633,0.000026471324,0.000020559892,0.99165684,0.000043993034,0.0019872277,0.0041193306,0.000054824734],"about_ca_topic_score_codex":5.670307e-7,"about_ca_topic_score_gemma":3.2244517e-7,"teacher_disagreement_score":0.93363786,"about_ca_system_score_codex":0.000016571074,"about_ca_system_score_gemma":0.000020496282,"threshold_uncertainty_score":0.24984388},"labels":[],"label_agreement":null},{"id":"W4408655364","doi":"10.1504/ijise.2025.145065","title":"A bearing fault diagnosis and monitoring software system based on lightweight neural networks to resist coloured noise","year":2025,"lang":"en","type":"article","venue":"International Journal of Industrial and Systems Engineering","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resist; Fault (geology); Noise (video); Artificial neural network; Bearing (navigation); Software; Computer science; Engineering; Artificial intelligence; Seismology; Geology; Materials science; Operating system","score_opus":0.013970826915694715,"score_gpt":0.22619264169519226,"score_spread":0.21222181477949756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408655364","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":[0.82555044,0.004396585,0.14587758,0.0002669162,0.022751419,0.0006188759,0.00003926843,0.0002943381,0.00020455351],"genre_scores_gemma":[0.99781203,0.000031487594,0.00018440731,0.000012734883,0.0018726,0.000030239267,0.0000012908557,0.000026051901,0.000029137134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998651,0.00003379296,0.00062142743,0.00015169504,0.00033128296,0.00021080018],"domain_scores_gemma":[0.9991321,0.00031275194,0.00011145361,0.00010043708,0.00018314311,0.00016011205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023760891,0.00021411681,0.00041487816,0.0004305352,0.000058951937,0.00021110363,0.000203395,0.00015437417,6.004469e-7],"category_scores_gemma":[0.00018339485,0.00019405007,0.00007548136,0.0001681179,0.000008343509,0.00013856712,0.000032721055,0.00037229186,4.3136438e-7],"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":[0.000100832825,0.000008188643,0.013940555,0.00007032791,0.00017459947,0.000078269186,0.000043125663,0.9802005,0.0005705981,0.000114114024,0.00014147263,0.004557393],"study_design_scores_gemma":[0.0018698338,0.000104716644,0.002571718,0.0032978537,0.00004819663,0.0000837933,0.00019295618,0.98835695,0.0004525559,0.0000013442484,0.0027719575,0.00024812194],"about_ca_topic_score_codex":0.000019390462,"about_ca_topic_score_gemma":9.218754e-7,"teacher_disagreement_score":0.1722616,"about_ca_system_score_codex":0.00026333996,"about_ca_system_score_gemma":0.000015761636,"threshold_uncertainty_score":0.79131323},"labels":[],"label_agreement":null},{"id":"W4408858589","doi":"10.1109/tim.2025.3554870","title":"Error-Weighted Collaborative Dictionary Learning for Rolling Bearings Fault Diagnosis","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Sensor and Control Systems","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 Calgary","funders":"","keywords":"Fault (geology); Computer science; Artificial intelligence; Speech recognition; Engineering; Pattern recognition (psychology); Geology","score_opus":0.0181492848417785,"score_gpt":0.24824809722336175,"score_spread":0.23009881238158325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408858589","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":[0.052874696,0.0003382093,0.9436069,0.00014739577,0.0009739461,0.00072831457,0.000024830777,0.00024515067,0.0010605186],"genre_scores_gemma":[0.99807614,0.00028436593,0.0006634676,0.00006630688,0.000023162205,0.0006717434,0.0000075053376,0.000016739064,0.00019059573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919915,0.00003163129,0.00023747142,0.00017437102,0.0002088026,0.00014856724],"domain_scores_gemma":[0.9996597,0.00005525953,0.00003271049,0.00006707763,0.00013585735,0.000049367663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012762638,0.00014174143,0.00014786569,0.00015217901,0.00032252574,0.000040532865,0.000033070144,0.00006197327,0.000014609003],"category_scores_gemma":[0.0000046754953,0.00014941265,0.00004729937,0.00020062298,0.000018456516,0.00014328644,3.267868e-7,0.00014239205,0.0000031329894],"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":[0.00024067397,0.00012504819,0.0005817305,0.00021204677,0.0005932265,7.180974e-7,0.0013466999,0.7307117,0.028697709,0.00033619386,0.0002471437,0.23690711],"study_design_scores_gemma":[0.011216732,0.0006732733,0.0022708501,0.0007773509,0.0005977304,0.000005071237,0.008858928,0.53638124,0.37756503,0.0006229744,0.060038265,0.000992579],"about_ca_topic_score_codex":0.000013014502,"about_ca_topic_score_gemma":0.000050218438,"teacher_disagreement_score":0.9452014,"about_ca_system_score_codex":0.0002119014,"about_ca_system_score_gemma":0.00002233002,"threshold_uncertainty_score":0.60928714},"labels":[],"label_agreement":null},{"id":"W4408892524","doi":"10.61091/jcmcc125-07","title":"Design of high-speed radar signal processor based on FPGA","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Computer science; Radar; Digital signal processor; SIGNAL (programming language); Embedded system; Computer hardware; Digital signal processing; Telecommunications","score_opus":0.00943957062302646,"score_gpt":0.22517682787398136,"score_spread":0.21573725725095488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892524","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":[0.2503836,0.00074538443,0.72391087,0.00010401215,0.021644076,0.0008480968,0.0000054177467,0.00015440903,0.002204137],"genre_scores_gemma":[0.9943071,0.000012331265,0.0050996514,0.000016310934,0.00052064465,0.0000013163382,6.551115e-7,0.00003567773,0.0000063083385],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773526,0.000096566226,0.0011797545,0.00015014116,0.0005594742,0.00027882654],"domain_scores_gemma":[0.9976265,0.0010510106,0.00056822895,0.00021008936,0.0004373942,0.00010680015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009437751,0.00029456595,0.00095801527,0.00029132952,0.00011914301,0.000076622615,0.00032054374,0.0001599526,0.0000046441937],"category_scores_gemma":[0.00020300636,0.0002622542,0.00014138031,0.00036402704,0.000054174845,0.0001076327,0.000039557708,0.00040329798,8.769974e-7],"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":[0.001121441,0.0012555505,0.000058731785,0.0024209039,0.00062068383,0.000054105225,0.00086903875,0.33388728,0.024874046,0.6269323,0.0007158283,0.007190051],"study_design_scores_gemma":[0.012457364,0.0014277117,0.000038459046,0.0018128768,0.00021594764,0.000020916703,0.00021454906,0.5404669,0.026891515,0.41570005,0.0002779759,0.00047573948],"about_ca_topic_score_codex":0.0000028689508,"about_ca_topic_score_gemma":4.6084e-8,"teacher_disagreement_score":0.74392354,"about_ca_system_score_codex":0.00009373184,"about_ca_system_score_gemma":0.00011782374,"threshold_uncertainty_score":0.99998295},"labels":[],"label_agreement":null},{"id":"W4408920170","doi":"10.18280/jesa.580218","title":"A Predictive Maintenance System Based on Industrial Internet of Things for Multimachine Multiclass Using Deep Neural Network","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Industrial Internet; Artificial intelligence; Predictive maintenance; Computer science; Internet of Things; The Internet; Machine learning; Engineering; Reliability engineering; Embedded system; World Wide Web","score_opus":0.016547509739738505,"score_gpt":0.24189739424123102,"score_spread":0.22534988450149251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408920170","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":[0.093021974,0.0005753181,0.9016137,0.000020549895,0.002402154,0.00081520225,0.00002930863,0.00040420695,0.0011175633],"genre_scores_gemma":[0.9863612,0.0000038082976,0.01296591,0.00005234818,0.00040913202,0.000024838208,0.000003756764,0.00006932827,0.000109662506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774635,0.00022836604,0.0009805311,0.0002313996,0.00030194598,0.0005114314],"domain_scores_gemma":[0.99853694,0.00047070158,0.00038900122,0.00024747933,0.00023382311,0.00012203951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005276937,0.00033504184,0.0006982508,0.00022799298,0.00017309868,0.00010544899,0.0003131903,0.00015050263,0.000004858151],"category_scores_gemma":[0.00028963204,0.00028188602,0.00026361458,0.00032803195,0.000068418885,0.0002664224,0.00003354772,0.0004722527,0.0000020925133],"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":[0.00034224326,0.000027941234,0.0009568967,0.0005421064,0.00022356397,0.000031770505,0.0002621293,0.95468163,0.0013901442,0.0003463713,0.00034730445,0.040847905],"study_design_scores_gemma":[0.0030238335,0.00022082303,0.003621108,0.0026049942,0.000120506505,0.00010055,0.00017568996,0.989424,0.00024582059,0.00011084777,0.00014048029,0.00021136274],"about_ca_topic_score_codex":0.00003728526,"about_ca_topic_score_gemma":0.000005358719,"teacher_disagreement_score":0.8933392,"about_ca_system_score_codex":0.0006228723,"about_ca_system_score_gemma":0.000047081136,"threshold_uncertainty_score":0.99996334},"labels":[],"label_agreement":null},{"id":"W4409574838","doi":"10.61091/jcmcc127a-068","title":"Logistic Regression Analysis of College Students’ Learning Behavior Considering MOOC Data in Online Learning Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Logistic regression; Online learning; Regression analysis; Computer science; Regression; Psychology; Mathematics education; Machine learning; Statistics; Multimedia; Mathematics","score_opus":0.022341666973623855,"score_gpt":0.2942363220864742,"score_spread":0.2718946551128504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574838","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":[0.98714346,0.00087909156,0.0083500985,0.000009705052,0.003205925,0.00023157035,0.000009283479,0.00003558112,0.00013530864],"genre_scores_gemma":[0.99826586,0.0001497949,0.0013678189,0.0000021634983,0.00016654377,0.0000015284414,0.000010157913,0.000025076584,0.0000110750825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99729985,0.00014555,0.0014849665,0.00021710941,0.00058561185,0.0002669191],"domain_scores_gemma":[0.9979189,0.0008448011,0.0006946438,0.00032720773,0.00012772501,0.00008672297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012762569,0.0002616318,0.0012247537,0.0005983696,0.00012501336,0.00006374465,0.00050863595,0.00014314658,0.000004541515],"category_scores_gemma":[0.0005042973,0.00024514215,0.00013956775,0.0006219578,0.000058364054,0.00014402815,0.0003602031,0.00072879036,2.9286008e-7],"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":[0.0004547145,0.0042658774,0.1919891,0.002062184,0.005329621,0.00041716403,0.0038377773,0.6280052,0.014773599,0.13793065,0.00007742182,0.010856691],"study_design_scores_gemma":[0.012060323,0.0006788509,0.02063145,0.0025159086,0.0033744182,0.000040312545,0.0056423387,0.9280882,0.0005570236,0.024802085,0.00082167017,0.0007874246],"about_ca_topic_score_codex":0.000011814661,"about_ca_topic_score_gemma":0.0000020829707,"teacher_disagreement_score":0.30008298,"about_ca_system_score_codex":0.00014141093,"about_ca_system_score_gemma":0.00003633797,"threshold_uncertainty_score":0.9996606},"labels":[],"label_agreement":null},{"id":"W4409576356","doi":"10.61091/jcmcc127a-104","title":"Research on the design of intelligent control strategy for linear primary inverted pendulum based on deep reinforcement learning algorithm with SolidLab’s microcontroller programming","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inverted pendulum; Microcontroller; Reinforcement learning; Computer science; Algorithm; Control (management); Pendulum; Reinforcement; Control engineering; Artificial intelligence; Engineering; Computer hardware; Mechanical engineering; Nonlinear system; Structural engineering","score_opus":0.026775134582897892,"score_gpt":0.2830694452487726,"score_spread":0.2562943106658747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576356","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":[0.007916945,0.00023025952,0.98700035,0.00007517088,0.0024078942,0.0017723419,0.0000012774971,0.00004323825,0.000552511],"genre_scores_gemma":[0.99380594,0.0000173304,0.0056083724,0.00003210756,0.00044556617,0.000031950603,0.0000017234313,0.000045448563,0.00001157474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997194,0.00029143906,0.0011232315,0.00018812135,0.000752909,0.00045030477],"domain_scores_gemma":[0.9943095,0.0038661137,0.00052908604,0.00023805116,0.00095450436,0.000102749524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031509649,0.00031102053,0.00087367865,0.00032912826,0.00034880504,0.00013173599,0.00035012432,0.00014806919,0.00000219074],"category_scores_gemma":[0.00031223157,0.00021250718,0.000163919,0.00037515603,0.000094715,0.0000708993,0.000037017795,0.00086188054,5.6026704e-7],"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":[0.0013749279,0.0003718077,0.000009220231,0.00053873286,0.00045888717,0.000010924554,0.000400369,0.87643015,0.0009724872,0.107095696,0.00009658976,0.012240237],"study_design_scores_gemma":[0.009294113,0.0034935165,0.0000038675043,0.0010245226,0.000103614664,0.0000064011706,0.00069565646,0.96205825,0.0017154606,0.020952167,0.00045151525,0.00020093037],"about_ca_topic_score_codex":0.0000041783856,"about_ca_topic_score_gemma":2.074341e-7,"teacher_disagreement_score":0.98588896,"about_ca_system_score_codex":0.00019503478,"about_ca_system_score_gemma":0.00017066879,"threshold_uncertainty_score":0.8665791},"labels":[],"label_agreement":null},{"id":"W4409603301","doi":"10.61091/jcmcc127b-131","title":"Construction of an Intelligent Control Platform for Electrical and Electronic Architecture Based on Adaptive Control Algorithm Combining Domain Control Technology and Wireless Sensing","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wireless; Architecture; Computer science; Control (management); Adaptive control; Domain (mathematical analysis); Algorithm; Computer architecture; Control engineering; Electronic engineering; Engineering; Artificial intelligence; Telecommunications; Mathematics","score_opus":0.0040053027173866645,"score_gpt":0.21479745770094713,"score_spread":0.21079215498356046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603301","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":[0.33997366,0.00042065902,0.65693486,0.000060219307,0.001888745,0.0006170506,0.000009508083,0.0000518342,0.000043462376],"genre_scores_gemma":[0.98947537,0.00001794651,0.010118678,0.000028753371,0.0003133677,0.0000051894945,0.0000011207502,0.00003913512,4.5867358e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977902,0.00010252675,0.0010872262,0.00024804738,0.00031618527,0.00045581142],"domain_scores_gemma":[0.99706674,0.001607175,0.0006049401,0.00017630516,0.00040522614,0.0001395997],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009695423,0.00037062092,0.0012832088,0.0005945521,0.00022522247,0.0000842805,0.00015966273,0.00029485897,3.3854636e-7],"category_scores_gemma":[0.00017823308,0.0003410024,0.00012943264,0.00033373086,0.00017690386,0.00010673824,0.000023164044,0.0006864786,4.7978922e-8],"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":[0.0015407336,0.00023506497,0.000073233015,0.00031499343,0.00059319113,0.00001261391,0.00036345498,0.006592121,0.0065360027,0.89338577,0.000004469341,0.090348326],"study_design_scores_gemma":[0.014889989,0.0018418573,0.0000108831755,0.00034573668,0.00017499621,0.00008881954,0.00035466233,0.5886824,0.0008664714,0.39249116,0.000047673504,0.00020531208],"about_ca_topic_score_codex":0.000002836591,"about_ca_topic_score_gemma":6.281597e-7,"teacher_disagreement_score":0.6495017,"about_ca_system_score_codex":0.00013979674,"about_ca_system_score_gemma":0.00010696962,"threshold_uncertainty_score":0.9999042},"labels":[],"label_agreement":null},{"id":"W4409603673","doi":"10.61091/jcmcc127b-223","title":"Research on intelligent operation and maintenance of electrochemical energy storage plant based on multimodal fusion sensing technology","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electrochemical energy storage; Fusion; Energy storage; Computer science; Process engineering; Sensor fusion; Systems engineering; Electrochemistry; Reliability engineering; Environmental science; Engineering; Artificial intelligence; Supercapacitor; Chemistry; Physics","score_opus":0.010269688943861344,"score_gpt":0.26249624597044036,"score_spread":0.25222655702657903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409603673","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":[0.8361058,0.00040646116,0.15654203,0.00014555447,0.005514322,0.0002604425,0.0000023620169,0.000058907495,0.0009640584],"genre_scores_gemma":[0.998292,0.000048308157,0.0013456515,0.000012422417,0.0002760255,9.197871e-7,0.0000010316331,0.00002073003,0.0000028649526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998304,0.00009412128,0.00072260696,0.0001627075,0.0004425981,0.00027395153],"domain_scores_gemma":[0.9983873,0.0008120167,0.0002191559,0.00017613963,0.000330984,0.000074453805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009047253,0.00019530472,0.00056084077,0.0005143555,0.00015217363,0.0000552394,0.00015784199,0.00019220545,7.8583184e-7],"category_scores_gemma":[0.00023261113,0.00017031695,0.00006502159,0.0003053459,0.00008038846,0.000045796187,0.000061528466,0.00058438134,2.587928e-7],"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":[0.00053852005,0.0003525996,0.000028678392,0.00037185432,0.000099317665,0.000029685387,0.00027444112,0.014563369,0.0796909,0.8964836,0.00012926129,0.007437756],"study_design_scores_gemma":[0.0034508293,0.0011105032,0.000013221609,0.0014156563,0.000030142217,0.00003053627,0.00043035598,0.8017108,0.06757205,0.12368786,0.00034685162,0.00020122541],"about_ca_topic_score_codex":0.0000045116135,"about_ca_topic_score_gemma":4.480333e-7,"teacher_disagreement_score":0.7871474,"about_ca_system_score_codex":0.00014866811,"about_ca_system_score_gemma":0.000056319477,"threshold_uncertainty_score":0.6945324},"labels":[],"label_agreement":null},{"id":"W4409604891","doi":"10.61091/jcmcc127b-323","title":"Study on Improving Transmission Line Hazard Monitoring Using AdaBoost Algorithm in Multi-dimensional Data Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid; Electric Power Research Institute","keywords":"AdaBoost; Computer science; Artificial intelligence; Line (geometry); Algorithm; Hazard; Data mining; Pattern recognition (psychology); Mathematics; Support vector machine","score_opus":0.030973443405717647,"score_gpt":0.28466831154831745,"score_spread":0.2536948681425998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604891","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":[0.8411844,0.0009773737,0.14511538,0.000015937983,0.0120602045,0.0005382088,0.000004986885,0.00005119256,0.000052362095],"genre_scores_gemma":[0.9812904,0.000024195737,0.01797517,0.0000035858952,0.0006595353,0.00000150997,0.0000014332536,0.00004098372,0.0000032061719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974561,0.0001030978,0.0012604661,0.00028267532,0.00056746823,0.0003302107],"domain_scores_gemma":[0.99863434,0.00039970584,0.0003448528,0.0003938048,0.000101150195,0.00012613503],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011998776,0.0003347426,0.0008017518,0.00030071553,0.00017826485,0.000109363355,0.00043870398,0.00013883771,0.0000011263315],"category_scores_gemma":[0.000099506666,0.00030809408,0.00008481068,0.00022772486,0.000027642353,0.00021964124,0.00020428021,0.0006409462,6.8668777e-7],"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":[0.0011482779,0.015522525,0.0076759346,0.002256759,0.0021427267,0.0013196979,0.010291175,0.5071684,0.0900926,0.024026712,0.000093146555,0.33826202],"study_design_scores_gemma":[0.011222896,0.0006135156,0.0005987133,0.0012614357,0.0001505888,0.000036117424,0.0012621019,0.97470117,0.001714884,0.007912447,0.00011562416,0.00041050708],"about_ca_topic_score_codex":0.000011170969,"about_ca_topic_score_gemma":2.7349498e-7,"teacher_disagreement_score":0.46753272,"about_ca_system_score_codex":0.00022166809,"about_ca_system_score_gemma":0.00006336793,"threshold_uncertainty_score":0.9999371},"labels":[],"label_agreement":null},{"id":"W4409604993","doi":"10.61091/jcmcc127b-261","title":"Prediction method of regional economic development level based on SOM algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.018715412496655474,"score_gpt":0.25222411210610396,"score_spread":0.23350869960944848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409604993","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":[0.061949834,0.00024798472,0.9155912,0.000049825354,0.020041557,0.00029472867,0.000009951815,0.00006852809,0.0017464014],"genre_scores_gemma":[0.9311437,0.0000117529935,0.06811398,0.000014314519,0.00067546155,0.000002214271,0.0000020594534,0.000027479506,0.000009035622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980996,0.000062941515,0.0011525966,0.00013473092,0.00034951948,0.00020060755],"domain_scores_gemma":[0.99846095,0.0006129591,0.00046429166,0.00016465783,0.00021115482,0.000085984044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094144413,0.00022592404,0.0006784404,0.0002650382,0.0001154073,0.000048912214,0.00020720706,0.00013565208,0.000002747559],"category_scores_gemma":[0.000069796886,0.00021362051,0.00013864753,0.00013664475,0.000030149606,0.00008968369,0.000037098485,0.00029633977,9.158962e-7],"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":[0.00033016765,0.00086081447,0.00024951078,0.0012562986,0.0009217419,0.00001820619,0.0014250482,0.13608849,0.003663567,0.7513228,0.0013432489,0.10252013],"study_design_scores_gemma":[0.006863494,0.0003984755,0.00024158908,0.0009968161,0.00010373142,0.000027977534,0.000223754,0.84798,0.005696461,0.13380726,0.0033669937,0.00029345157],"about_ca_topic_score_codex":0.000002854056,"about_ca_topic_score_gemma":1.8398954e-7,"teacher_disagreement_score":0.86919385,"about_ca_system_score_codex":0.00020337061,"about_ca_system_score_gemma":0.00016498967,"threshold_uncertainty_score":0.8711192},"labels":[],"label_agreement":null},{"id":"W4409787560","doi":"10.61091/jcmcc127a-422","title":"Random forest algorithm and multi-source data fusion based on the converter valve electrical characteristics of time-varying law extraction method and condition monitoring technology research","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Southern Power Grid","keywords":"Extraction (chemistry); Fusion; Sensor fusion; Random forest; Computer science; Algorithm; Data mining; Artificial intelligence; Chemistry","score_opus":0.022913964741184636,"score_gpt":0.31867057794219816,"score_spread":0.29575661320101354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409787560","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":[0.22934599,0.0007156913,0.7647407,0.00011728025,0.004305333,0.0005464132,0.000009036199,0.000054196444,0.00016535248],"genre_scores_gemma":[0.9907527,0.00006309772,0.00874668,0.000006422958,0.00039871916,0.0000028628485,0.0000030682634,0.000023082133,0.0000033937024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818,0.00022108668,0.0007602897,0.00018960582,0.00040655132,0.0002424768],"domain_scores_gemma":[0.99589884,0.0029773307,0.00035621502,0.0002801858,0.00041840822,0.000069045986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023651416,0.00019557826,0.00062803476,0.00028357178,0.00031939734,0.00012147328,0.00025702594,0.00019139127,0.0000010751024],"category_scores_gemma":[0.00061074627,0.00015458927,0.000055272056,0.0003265347,0.000118788565,0.00013857358,0.00015207325,0.0007291434,3.7059837e-7],"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":[0.0017380507,0.0018590284,0.00277089,0.0025867142,0.00158064,0.00007871661,0.00230637,0.005199537,0.09849671,0.59111094,0.00035322568,0.2919192],"study_design_scores_gemma":[0.0050407755,0.00028492592,0.00013037077,0.0007137757,0.000107390224,0.00003565039,0.00013781252,0.947655,0.0022087926,0.043305133,0.00023609029,0.00014425459],"about_ca_topic_score_codex":0.0000075151142,"about_ca_topic_score_gemma":1.3169202e-7,"teacher_disagreement_score":0.9424555,"about_ca_system_score_codex":0.00006187704,"about_ca_system_score_gemma":0.00003411915,"threshold_uncertainty_score":0.6303968},"labels":[],"label_agreement":null},{"id":"W4409793681","doi":"10.61091/jcmcc127a-265","title":"Research on cable thermal property detection based on Laplace equation and deep learning fusion algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Laplace transform; Property (philosophy); Fusion; Algorithm; Laplace's equation; Deep learning; Computer science; Artificial intelligence; Mathematics; Mathematical analysis; Partial differential equation","score_opus":0.016509979020819996,"score_gpt":0.266508518003072,"score_spread":0.24999853898225202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793681","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":[0.7155943,0.0007126964,0.25484157,0.00014655484,0.018453054,0.0009018151,0.0000012099887,0.0002010625,0.009147718],"genre_scores_gemma":[0.9982372,0.000030307434,0.0010079914,0.000010142439,0.00065627485,0.000003500369,6.188824e-7,0.000030239233,0.000023761972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808615,0.00023481315,0.0005944611,0.00017351597,0.0006148068,0.00029623514],"domain_scores_gemma":[0.9980721,0.0010829624,0.0002155695,0.00014624745,0.00038412353,0.00009898888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019476708,0.00021256784,0.00045077087,0.00035544852,0.00044489725,0.00018382144,0.00014120401,0.00016492252,0.0000023664097],"category_scores_gemma":[0.00032078227,0.0001617637,0.00007030437,0.0003484989,0.000042943328,0.00011831694,0.00005136426,0.0008921616,0.0000016808771],"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":[0.0011603978,0.0010047173,0.00017088378,0.0013417767,0.00029824473,0.00005864504,0.0020179863,0.4308333,0.026261467,0.16209483,0.00013165883,0.3746261],"study_design_scores_gemma":[0.0036248916,0.0011208057,0.00006955341,0.0006571479,0.00003197311,0.000009090444,0.0004534478,0.96043307,0.0030856319,0.029708661,0.0006222386,0.00018348258],"about_ca_topic_score_codex":0.0000113689475,"about_ca_topic_score_gemma":4.952522e-7,"teacher_disagreement_score":0.5295998,"about_ca_system_score_codex":0.00017422154,"about_ca_system_score_gemma":0.00003945428,"threshold_uncertainty_score":0.65965325},"labels":[],"label_agreement":null},{"id":"W4411137150","doi":"10.1088/1361-6501/ade279","title":"Application of S-Relu activation function and adaptive dual-threshold noise reduction in fault diagnosis of RV reducer rolling bearings","year":2025,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MD Precision (Canada)","funders":"","keywords":"Reducer; Reduction (mathematics); Fault (geology); Dual (grammatical number); Noise reduction; Noise (video); Computer science; Control theory (sociology); Automotive engineering; Materials science; Acoustics; Physics; Engineering; Mathematics; Geology; Artificial intelligence; Geometry; Thermodynamics","score_opus":0.012739059493240336,"score_gpt":0.21759406994057098,"score_spread":0.20485501044733065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411137150","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":[0.9645673,0.00047709735,0.033679448,0.00027793637,0.00009300595,0.00033895634,5.671446e-7,0.000065172695,0.0005005087],"genre_scores_gemma":[0.99968415,0.00005858289,0.00016186917,0.0000026962828,0.0000067612127,0.0000791822,2.5935952e-7,0.00000298687,0.00000348781],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99925095,0.0000051141965,0.00019878302,0.00018168113,0.0002552026,0.00010829944],"domain_scores_gemma":[0.9994956,0.0000080382715,0.000059001708,0.00011884384,0.00030607372,0.000012427954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004751713,0.000065721986,0.0001321093,0.00051653513,0.00005077108,0.000005657103,0.00005161249,0.000073261406,3.1218582e-7],"category_scores_gemma":[0.00009469199,0.00006602419,0.00000787355,0.0009664437,0.00017682192,0.00017202018,0.000018534683,0.000081881146,1.4454996e-7],"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":[0.000019632911,0.000019836167,0.011333826,0.000032881046,0.000008563653,4.0197335e-8,0.000060033897,0.0052364785,0.9340401,0.00588364,0.000006069899,0.043358862],"study_design_scores_gemma":[0.000762637,0.00012633612,0.037185863,0.00023200193,0.000027546184,0.0000017217977,0.0013467058,0.06735654,0.8838065,0.008799033,0.0002184525,0.00013662477],"about_ca_topic_score_codex":0.00005100856,"about_ca_topic_score_gemma":0.00001655685,"teacher_disagreement_score":0.062120065,"about_ca_system_score_codex":0.00012684838,"about_ca_system_score_gemma":0.000023373452,"threshold_uncertainty_score":0.26923886},"labels":[],"label_agreement":null},{"id":"W4412919770","doi":"10.3233/atde250452","title":"Fatigue Driving Detection Based on Very Deep Convolutional Network with Continuous Learning Strategy","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in transdisciplinary engineering","topic":"Advanced Sensor and Control Systems","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":"MD Precision (Canada)","funders":"","keywords":"Deep learning; Computer science; Artificial intelligence; Convolutional neural network; Psychology","score_opus":0.004283957043618455,"score_gpt":0.1980919730312377,"score_spread":0.19380801598761926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412919770","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":[0.0004618655,0.010889488,0.8487439,0.0000082008455,0.0011978691,0.0006544127,0.00001859468,0.0009360429,0.13708964],"genre_scores_gemma":[0.9913986,0.00073861016,0.0016163717,0.000008071882,0.00047626122,0.000112758775,0.00008881438,0.00021972707,0.005340808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978767,0.000019610761,0.000585344,0.00054870866,0.00035446318,0.00061518565],"domain_scores_gemma":[0.99909306,0.00035828986,0.000093576535,0.0003045449,0.00004905571,0.0001014818],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001339403,0.0007344125,0.000776182,0.0003707119,0.00013933852,0.000038517373,0.00020868292,0.00035797572,0.00002893876],"category_scores_gemma":[0.000010118345,0.00078032503,0.00016725615,0.00017571135,0.000051384817,0.00032508495,0.000016026272,0.001334992,0.0000059595336],"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":[0.00009647776,0.000008724974,0.000060865634,0.00042216678,0.0000673071,0.000097108736,0.00007850437,0.9862045,0.00014033548,0.0020834785,0.000002724439,0.010737777],"study_design_scores_gemma":[0.0010368412,0.0003089112,0.00017401442,0.0029833964,0.00006577612,0.00001921932,0.000068803245,0.9848858,0.00005482819,0.00053071894,0.008925166,0.0009464867],"about_ca_topic_score_codex":0.0000011497709,"about_ca_topic_score_gemma":0.00014840555,"teacher_disagreement_score":0.9909367,"about_ca_system_score_codex":0.0003469426,"about_ca_system_score_gemma":0.00003569475,"threshold_uncertainty_score":0.99946475},"labels":[],"label_agreement":null},{"id":"W4413098780","doi":"10.1109/ariia63345.2024.11051621","title":"Ubiquitous intelligent machine learning resource allocation system in IoT","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":6,"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":"","keywords":"Computer science; Internet of Things; Resource allocation; Resource management (computing); Resource (disambiguation); Distributed computing; Human–computer interaction; Artificial intelligence; Computer security; Computer network","score_opus":0.006959353026448527,"score_gpt":0.20679639096294253,"score_spread":0.199837037936494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413098780","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":[0.14653945,0.02582854,0.6500979,0.00017147092,0.0019160854,0.00077216094,0.000005609559,0.007036921,0.16763188],"genre_scores_gemma":[0.99779576,0.000023673023,0.00010682108,0.000008280843,0.0001309152,0.000016203345,0.0000064379556,0.000033260694,0.0018786491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999358,0.000028000011,0.00021664456,0.00013578362,0.000099247474,0.00016231576],"domain_scores_gemma":[0.9997922,0.00005315461,0.0000073987044,0.00010369873,0.000008087787,0.000035458306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001370645,0.00010104691,0.0001259293,0.00011029441,0.000019598503,0.000040894094,0.000060578335,0.000048339876,0.000019177387],"category_scores_gemma":[0.000009061351,0.00009003308,0.000033452605,0.0001749091,0.0000045054458,0.000036797468,0.000009873616,0.00019561757,0.00015725376],"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":[0.0000061416754,0.000004319618,0.00016831285,0.0004517554,0.000026403843,0.000047785994,0.00057184784,0.93593454,0.011767885,0.0055340496,0.00014896193,0.045337982],"study_design_scores_gemma":[0.00006822242,0.000013120689,0.000034285138,0.00016286109,0.000004397158,0.0000196416,0.0008502175,0.9233378,0.0016233458,0.00001242586,0.0737676,0.00010605893],"about_ca_topic_score_codex":0.0001102973,"about_ca_topic_score_gemma":0.000095392126,"teacher_disagreement_score":0.8512563,"about_ca_system_score_codex":0.0001766743,"about_ca_system_score_gemma":0.000003810213,"threshold_uncertainty_score":0.36714423},"labels":[],"label_agreement":null},{"id":"W4413178707","doi":"10.18280/ts.420446","title":"Music Emotion Recognition and Modeling Based on Multimodal Signal Fusion","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fusion; Speech recognition; SIGNAL (programming language); Computer science; Emotion recognition; Sensor fusion; Artificial intelligence; Pattern recognition (psychology); Linguistics","score_opus":0.02295118619133257,"score_gpt":0.21650902291365906,"score_spread":0.1935578367223265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413178707","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":[0.45578903,0.00006947478,0.5418839,0.000035842502,0.00015207143,0.00026521692,0.000016312048,0.00018377749,0.0016043957],"genre_scores_gemma":[0.99899185,0.0000074620484,0.00059571944,0.00015371323,0.00012797747,0.000029972372,0.00005337481,0.00001736105,0.000022590852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991726,0.00003559309,0.00024008594,0.0001970118,0.00016703963,0.00018761869],"domain_scores_gemma":[0.9997606,0.00004941791,0.000021203252,0.00008171852,0.00003768671,0.00004932549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012894688,0.0001591881,0.00015331058,0.00014250788,0.000094098104,0.000032865028,0.00004480501,0.00006646661,0.00014411611],"category_scores_gemma":[0.000004739547,0.00015936242,0.000049884435,0.00010235035,0.000010856161,0.00009914798,0.0000070797164,0.00011648798,0.000016401022],"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":[0.00008796295,0.000041714917,0.000056025765,0.00007695867,0.000020003636,0.0000031082075,0.00010634185,0.86389047,0.04865596,0.00005565196,0.000056241977,0.08694959],"study_design_scores_gemma":[0.0014751016,0.00007590287,0.00029784755,0.00016572922,0.000025252315,8.280506e-7,0.00008646942,0.99556446,0.0016494868,0.00038589447,0.00011755993,0.00015547313],"about_ca_topic_score_codex":0.000015197436,"about_ca_topic_score_gemma":0.000007429456,"teacher_disagreement_score":0.5432028,"about_ca_system_score_codex":0.0000677904,"about_ca_system_score_gemma":0.000008317473,"threshold_uncertainty_score":0.6498611},"labels":[],"label_agreement":null}]}