{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"d0bca0a28db4","filters":{"venue":"Insight - Non-Destructive Testing and Condition Monitoring"}},"results":[{"id":"W2081428964","doi":"10.1784/insi.47.4.216.63149","title":"Low-coherence interferometry – an advanced technique for optical metrology in industry","year":2005,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Interferometry; Metrology; Materials science; Optics; White light interferometry; Laser; Surface metrology; Repeatability; Coating; Coherence (philosophical gambling strategy); Composite material; Surface finish; Profilometer","retraction":null,"screen_n_in":null,"score":{"opus":0.02158286200283066,"gpt":0.2875624147286212,"spread":0.2659795527257905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000149047,0.0002233852,0.0002391774,0.0003404351,0.000112978,0.00005952732,0.0001556449,0.0003074053,0.000009173652],"category_scores_gemma":[0.000199717,0.0002519168,0.0000315667,0.0006303252,0.0001405819,0.0005767443,0.00003284268,0.0006784326,0.000003180771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282578,"about_ca_system_score_gemma":0.00002298378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001012756,"about_ca_topic_score_gemma":0.000005399609,"domain_scores_codex":[0.9988384,0.00002185729,0.0003274772,0.0003615365,0.0001035231,0.0003472125],"domain_scores_gemma":[0.9989848,0.0004914766,0.00005455832,0.0002030016,0.0001185052,0.0001476814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003881764,0.0001174746,0.05514783,0.0001121358,0.00003544025,0.000006884681,0.0002752372,0.005350169,0.8664317,0.00197575,0.000002902305,0.07050565],"study_design_scores_gemma":[0.001242593,0.0005921673,0.3627891,0.0004871351,0.00004370761,0.00006777533,0.0005558567,0.01010398,0.6090332,0.0142486,0.00003328557,0.0008026412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771389,0.00005496955,0.02013381,0.00001754272,0.0001354878,0.0005364321,0.00001454878,0.0002799581,0.00168839],"genre_scores_gemma":[0.8908694,0.000004076809,0.107934,0.000008020884,0.0002335255,0.0009073142,0.000007131437,0.00003340671,0.000003101964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3076412,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982441409","doi":"10.1784/insi.46.8.473.39379","title":"Induction motor fault detection using vibration and stator current methods","year":2004,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Syncrude","keywords":"Stator; Induction motor; Vibration; Fault (geology); Rotor (electric); Engineering; Fault detection and isolation; Control theory (sociology); Bar (unit); Current (fluid); Condition monitoring; Automotive engineering; Computer science; Electrical engineering; Acoustics; Physics; Actuator; Voltage; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03666286913893477,"gpt":0.3480681584038472,"spread":0.3114052892649124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001883205,0.000260133,0.0002065733,0.0002771546,0.0003129507,0.0001395111,0.00004971191,0.0001235851,0.000001701271],"category_scores_gemma":[0.0002209019,0.0002873112,0.00002763671,0.0003064866,0.00007029364,0.0008167074,0.00003476138,0.000363647,9.80246e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002968713,"about_ca_system_score_gemma":0.00002429635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001875346,"about_ca_topic_score_gemma":0.000003146473,"domain_scores_codex":[0.9989273,0.00006731646,0.0003013156,0.0003263274,0.0001549931,0.0002227423],"domain_scores_gemma":[0.9993431,0.0001760817,0.0001126837,0.0001273404,0.0001324917,0.0001082817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008153046,0.00001899142,0.008612876,0.0001257547,0.00002712186,0.000003091393,0.0005249478,0.003047563,0.8196845,0.00008523769,6.832406e-7,0.1678611],"study_design_scores_gemma":[0.0006294827,0.0001747107,0.2131379,0.0005509012,0.00007311987,0.0001158979,0.0002241796,0.02823057,0.7444546,0.01182917,0.00004228148,0.0005371954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8663278,0.0003115913,0.1315287,0.000004461536,0.0008673454,0.0002728882,0.00000863828,0.0005923201,0.00008619404],"genre_scores_gemma":[0.883913,0.00007901114,0.115391,0.000002984845,0.0004865229,0.00007897719,0.000005404752,0.0000426275,4.63058e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.204525,"threshold_uncertainty_score":0.9999579,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088393090","doi":"10.1784/insi.2009.51.2.69","title":"Defect depth estimation using pulsed eddy current with varied pulse width excitation","year":2009,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Defence Research and Development Canada","keywords":"Eddy current; Eddy-current testing; Nondestructive testing; Excitation; Electromagnetic coil; Materials science; Acoustics; Electrical conductor; Pulse (music); Process (computing); Optics; Computer science; Engineering; Voltage; Electrical engineering; Physics; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.03232402527426179,"gpt":0.2865250517131681,"spread":0.2542010264389062,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002386582,0.0005216646,0.0003894667,0.0004145564,0.0004614823,0.0002442698,0.0001525728,0.0001317976,0.000006318586],"category_scores_gemma":[0.0003569387,0.0005361016,0.00006051764,0.0007987206,0.000144164,0.001120638,0.00002991498,0.0005324457,0.000004393034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546986,"about_ca_system_score_gemma":0.00007695377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007353624,"about_ca_topic_score_gemma":0.000002862411,"domain_scores_codex":[0.997988,0.00008458248,0.0004731968,0.0005640463,0.0003907658,0.0004994521],"domain_scores_gemma":[0.9984937,0.0004210835,0.0002371118,0.0003047006,0.0003604976,0.0001828673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000205804,0.0002542222,0.1487238,0.0005195761,0.0002706966,0.0001300836,0.002130202,0.02361101,0.5985062,0.005077597,0.00003414384,0.2205367],"study_design_scores_gemma":[0.001416154,0.0007661941,0.7326159,0.001795178,0.0002285744,0.0004029952,0.0001544082,0.05757287,0.02484501,0.1788735,0.000005301797,0.0013239],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866166,0.0001818419,0.1081864,0.000008772064,0.0004174151,0.0004787072,0.000009116588,0.001481931,0.002619203],"genre_scores_gemma":[0.6788862,0.00001029598,0.3208005,0.000009037958,0.0001720327,0.0000410368,0.00002072576,0.00005969475,5.59462e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5838921,"threshold_uncertainty_score":0.9997091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992075758","doi":"10.1784/insi.46.11.666.52281","title":"Evaluation of closed cracks by analysis of subharmonic ultrasound","year":2004,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Subharmonic; Ultrasound; Acoustics; Structural engineering; Engineering; Materials science; Physics; Nonlinear system","retraction":null,"screen_n_in":null,"score":{"opus":0.02325180450188651,"gpt":0.2602668426426562,"spread":0.2370150381407697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004301898,0.0001556665,0.0002705785,0.0002583346,0.00008594299,0.00002763086,0.00006510492,0.00008192708,0.00001054341],"category_scores_gemma":[0.0003969096,0.0001674259,0.00005797598,0.0007609276,0.00007679409,0.000212272,0.00000990789,0.0001385641,7.108745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689811,"about_ca_system_score_gemma":0.00005676045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245619,"about_ca_topic_score_gemma":0.000002590886,"domain_scores_codex":[0.9987941,0.00004184439,0.0003697278,0.0001957758,0.000445406,0.0001531546],"domain_scores_gemma":[0.9987224,0.0003300736,0.0001839024,0.0001364891,0.0005746275,0.00005252426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004403967,0.00002943458,0.01899001,0.00005291193,0.0004713424,6.137809e-7,0.0005178741,0.1040813,0.8694392,0.00007320873,0.000001862016,0.006337863],"study_design_scores_gemma":[0.001052306,0.0001007678,0.4410975,0.0002186478,0.002275946,0.000007002487,0.000385332,0.04524521,0.500105,0.009232172,0.000001107201,0.0002790696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991987,0.0003700805,0.006398949,0.0000024464,0.0001935266,0.0001602606,0.00005834594,0.00006254208,0.0007668724],"genre_scores_gemma":[0.9972351,0.00004508207,0.00256642,0.000001097923,0.00006820302,0.00001929423,0.00004377761,0.00001971154,0.000001280575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4221075,"threshold_uncertainty_score":0.6827429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136631110","doi":"","title":"The effect of bulk stresses on magnetic flux leakage signals","year":2001,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Magnetic flux leakage; Leakage (economics); Materials science; Flux (metallurgy); Magnetic flux; Condensed matter physics; Electrical engineering; Physics; Metallurgy; Engineering; Magnetic field; Magnet; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01421680290448357,"gpt":0.2518074699832791,"spread":0.2375906670787955,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003236937,0.0004134031,0.0003768763,0.0002017677,0.0004536975,0.0001238432,0.0002505172,0.0001295302,0.00001237062],"category_scores_gemma":[0.0008084817,0.0003355168,0.00006615142,0.0004929238,0.0003176882,0.00025783,0.00006534169,0.0004400269,0.000009225002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145378,"about_ca_system_score_gemma":0.00001994246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006158261,"about_ca_topic_score_gemma":0.000001401721,"domain_scores_codex":[0.9983142,0.0001313001,0.0004324582,0.0003667896,0.0003270175,0.0004282343],"domain_scores_gemma":[0.9956388,0.003544138,0.0001668109,0.0003641788,0.0001721133,0.0001139821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001696005,0.00003761886,0.3423223,0.0004140778,0.0001626747,0.0001275619,0.0004851636,0.001281868,0.5859355,0.001299759,0.0001278244,0.06763609],"study_design_scores_gemma":[0.001177291,0.002674057,0.3858981,0.001826954,0.0001325254,0.0002434158,0.0001856437,0.001069201,0.5461507,0.05971408,0.00005774707,0.0008702311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810867,0.000475427,0.0004274491,0.000008477815,0.0006466283,0.0003910583,0.00001146051,0.0007851695,0.01616764],"genre_scores_gemma":[0.988086,0.0000692101,0.01124268,0.000003010014,0.0003815873,0.0001109071,0.000004647933,0.00007778175,0.00002418339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06676587,"threshold_uncertainty_score":0.9999097,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4255435085","doi":"10.1784/insi.46.6.355.56380","title":"The effect of flaw size distribution on the estimation of POD","year":2004,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministère de la Défense Nationale; National Research Council Canada; Defence Research and Development Canada","keywords":"Point of delivery; Estimation; Statistics; Mathematics; Distribution (mathematics); Econometrics; Engineering; Mathematical analysis; Biology; Botany","retraction":null,"screen_n_in":null,"score":{"opus":0.008355053924440973,"gpt":0.2230987106907173,"spread":0.2147436567662763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914749,0.0001325898,0.0001370426,0.00001863483,0.000227533,0.00002702222,0.00007512202,0.00005827974,8.617012e-7],"category_scores_gemma":[0.00063302,0.00008331447,0.00003385041,0.0001829523,0.00008110407,0.0001092502,0.00001332166,0.0001813305,0.000001285451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006247774,"about_ca_system_score_gemma":0.00001081912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003353499,"about_ca_topic_score_gemma":5.968147e-7,"domain_scores_codex":[0.999377,0.00003859551,0.0002036534,0.0001022485,0.0001553737,0.0001231171],"domain_scores_gemma":[0.9979849,0.001673124,0.0001064741,0.0001430934,0.00006644746,0.00002588808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002564962,0.00006667578,0.01485578,0.0008355406,0.0004246549,0.00001648275,0.002877656,0.2801919,0.4709027,0.03839778,0.00004999273,0.1911244],"study_design_scores_gemma":[0.0005979469,0.0004861959,0.08725283,0.000590786,0.0000559878,0.00001218263,0.000134223,0.006942165,0.8879915,0.01576884,0.000009113662,0.0001582684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941987,0.00008591392,0.004525368,0.00002456544,0.0004117832,0.0001834239,0.0000162449,0.00006149773,0.0004924866],"genre_scores_gemma":[0.9993801,0.00001241677,0.0004548591,0.00000176038,0.0001061916,0.00002272982,0.000007215172,0.00001363295,0.000001149242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4170888,"threshold_uncertainty_score":0.3397465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065343416","doi":"10.1784/insi.46.7.396.55583","title":"In-service corrosion evaluation in pipelines using gamma radiography – a numerical approach","year":2004,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"123 Certification (Canada)","funders":"International Atomic Energy Agency","keywords":"Corrosion; Pipeline transport; Service (business); Forensic engineering; Radiography; Nuclear engineering; Environmental science; Materials science; Engineering; Metallurgy; Business; Medicine; Radiology; Environmental engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04321658250185696,"gpt":0.287725572587157,"spread":0.2445089900853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004822536,0.0004072129,0.0004134636,0.000870606,0.000167234,0.00009612545,0.0001672542,0.0002002378,0.000002831782],"category_scores_gemma":[0.0003101497,0.0004639065,0.00004988394,0.002025122,0.00009866149,0.0008498728,0.00006212263,0.0005522816,0.00000214865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006540227,"about_ca_system_score_gemma":0.00008565687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009087749,"about_ca_topic_score_gemma":0.00001168987,"domain_scores_codex":[0.9978975,0.0001092351,0.0005814873,0.0005522994,0.0004011226,0.0004583723],"domain_scores_gemma":[0.99891,0.0002775482,0.0001505133,0.0002473226,0.0002989064,0.0001157619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005270555,0.0001537282,0.4826262,0.00034959,0.00002818659,0.00007473621,0.002506618,0.0643702,0.4453821,0.001007546,0.00000308346,0.003445273],"study_design_scores_gemma":[0.003129903,0.0001562069,0.6712901,0.002022882,0.00008755031,0.0005206332,0.0007183998,0.1111775,0.02297145,0.1867217,0.000002065946,0.001201685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743878,0.0002379295,0.02197113,0.00001090599,0.0004800094,0.0005990728,0.00000573158,0.0005063511,0.001801062],"genre_scores_gemma":[0.7141164,0.00001174233,0.2854487,0.00001054343,0.0002316974,0.0001153286,0.000009089051,0.00005628381,1.901237e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4224107,"threshold_uncertainty_score":0.9997813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967728327","doi":"10.1784/insi.2006.48.3.139","title":"NDE corrosion metrics for life prediction of aircraft structures","year":2006,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"U.S. Air Force","keywords":"Corrosion; Reliability engineering; Computer science; Forensic engineering; Environmental science; Materials science; Engineering; Metallurgy","retraction":null,"screen_n_in":null,"score":{"opus":0.0258313275962473,"gpt":0.2491838694301403,"spread":0.2233525418338931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002049792,0.0003660056,0.0003996046,0.0004681853,0.0002802878,0.00007420337,0.0001553717,0.0002119238,0.00000357669],"category_scores_gemma":[0.0007338781,0.0003954274,0.00007667913,0.0006561652,0.0001773881,0.0004421718,0.00005158449,0.0002970661,7.898351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001765202,"about_ca_system_score_gemma":0.00005006947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001589657,"about_ca_topic_score_gemma":0.00000150658,"domain_scores_codex":[0.9982996,0.00003875338,0.0005924206,0.0004072773,0.0002986013,0.0003633453],"domain_scores_gemma":[0.9980338,0.0008991425,0.0002492266,0.0002472893,0.0004527043,0.0001178821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003970174,0.00003701006,0.2970173,0.0004711882,0.00005161712,0.000005708186,0.0001964063,0.001382823,0.6912287,0.006633641,0.00016395,0.002771905],"study_design_scores_gemma":[0.0007899014,0.0002787797,0.5949516,0.0003727117,0.0001003265,0.00005116235,0.0001178039,0.004190169,0.15927,0.2394331,0.00001819341,0.0004262468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394959,0.000276511,0.05515005,0.000004462888,0.0009809172,0.0005014834,0.0001471636,0.001117219,0.002326263],"genre_scores_gemma":[0.7495319,0.00001202204,0.249714,0.000002923823,0.0005491425,0.0000867981,0.00003308686,0.00006705818,0.000003067363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5319586,"threshold_uncertainty_score":0.9998497,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091149552","doi":"10.1784/insi.2009.51.4.192","title":"Optimal selection of non-destructive inspection technique for welded components","year":2009,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Selection (genetic algorithm); Welding; Forensic engineering; Reliability engineering; Computer science; Structural engineering; Engineering; Mechanical engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01945092468084526,"gpt":0.2537655732071422,"spread":0.234314648526297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001195974,0.0002739076,0.0003037258,0.0002550661,0.0002702115,0.0000437354,0.00008430077,0.0001889539,0.000002452646],"category_scores_gemma":[0.00008932326,0.0003018065,0.00006142689,0.0003775388,0.00005277555,0.0004193808,0.00001407643,0.0003076129,0.000001022681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001532678,"about_ca_system_score_gemma":0.00002459548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003658742,"about_ca_topic_score_gemma":7.556501e-7,"domain_scores_codex":[0.9988905,0.0000227817,0.0003531415,0.0002991294,0.0001650482,0.0002694009],"domain_scores_gemma":[0.9991973,0.0001728474,0.0001615205,0.000117396,0.0002692868,0.00008163377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004936158,0.00003056875,0.002827761,0.00009429092,0.00005023879,0.000002585419,0.0004152722,0.003798774,0.9874794,0.0002297394,0.00001368116,0.005008291],"study_design_scores_gemma":[0.000753053,0.0005688717,0.1224337,0.0003784953,0.00005611801,0.00007130195,0.0002139576,0.0227121,0.84565,0.006776117,0.00001210802,0.0003741989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842933,0.0000366361,0.1133594,0.000006496372,0.0005975092,0.000548881,0.00001678332,0.0003208735,0.000820132],"genre_scores_gemma":[0.9505942,0.00001429075,0.04880248,0.000004631223,0.0004262331,0.00009808027,0.00001923595,0.00003724813,0.000003565962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418294,"threshold_uncertainty_score":0.9999434,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3009357286","doi":"10.1784/insi.2020.62.3.152","title":"Delivering the National Trust's preservation purpose: mission, strategy and structure","year":2020,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Visitor pattern; Accreditation; Cultural heritage; Context (archaeology); Measure (data warehouse); Environmental resource management; Performance indicator; Business; Computer science; Political science; Geography; Marketing; Economics; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.1689771060368042,"gpt":0.2750170086755691,"spread":0.1060399026387649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000831412,0.000164327,0.0001158899,0.00004252281,0.0008875839,0.0005155735,0.00009803595,0.00004342786,0.0001196411],"category_scores_gemma":[0.0001872116,0.0001224989,0.00001994429,0.00009735575,0.0001340639,0.001135278,0.00007866787,0.0001979975,0.000002540063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002598221,"about_ca_system_score_gemma":0.00001617275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000276217,"about_ca_topic_score_gemma":0.00001637679,"domain_scores_codex":[0.9991047,0.00004614314,0.0002026741,0.000258796,0.0002460085,0.0001417048],"domain_scores_gemma":[0.9992677,0.0001736061,0.0001267408,0.0000553559,0.0003068277,0.00006979235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004165338,0.00008128193,0.2304556,0.001264823,0.0005298646,0.00004310464,0.2252532,0.003247268,0.1466077,0.2514781,0.002314819,0.1383077],"study_design_scores_gemma":[0.001702298,0.0004870269,0.8411432,0.0004342715,0.0001653607,0.00002684202,0.01645646,0.0249247,0.003583046,0.07974193,0.03029622,0.001038654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825572,0.0001532948,0.0000411793,0.000481486,0.0001947384,0.0002556709,0.0000265011,0.00009518593,0.01619471],"genre_scores_gemma":[0.9976763,0.000014743,0.0003117018,0.0001462578,0.001591818,0.00001331166,0.00002943542,0.00001414494,0.0002023076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6106876,"threshold_uncertainty_score":0.6826667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413182692","doi":"10.1784/insi.2025.67.8.459","title":"Visualising fault conditions with Omniverse","year":2025,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Fault (geology); Geology; Seismology","retraction":null,"screen_n_in":null,"score":{"opus":0.02349313504798206,"gpt":0.3127451489730855,"spread":0.2892520139251035,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001020216,0.0001873483,0.0001774496,0.0003064119,0.0006279958,0.0004074016,0.0002418595,0.00006068673,0.000005047103],"category_scores_gemma":[0.0001491907,0.0001788761,0.0000255486,0.0009885856,0.0001431971,0.001081894,0.0001307745,0.0001683147,0.000007971888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007348885,"about_ca_system_score_gemma":0.0001215021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006351455,"about_ca_topic_score_gemma":0.000002090154,"domain_scores_codex":[0.9988665,0.00005286543,0.0002228901,0.0004271432,0.0002039159,0.0002266657],"domain_scores_gemma":[0.9988718,0.0003050661,0.0001372775,0.0002684768,0.0003197003,0.00009768221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004786933,0.0003413073,0.2747417,0.0003147782,0.0004474071,0.0003228738,0.00439683,0.001810055,0.061485,0.6125301,0.0008240894,0.04273805],"study_design_scores_gemma":[0.005691022,0.0007477807,0.667771,0.004429342,0.0003590173,0.0003770688,0.005390736,0.1386026,0.08265421,0.08919363,0.002362673,0.00242092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6775829,0.00004367519,0.3084379,0.0001248195,0.0005642982,0.0001822568,0.00002382332,0.0004091474,0.01263114],"genre_scores_gemma":[0.9784961,0.000009164375,0.02106046,0.0001063402,0.0001084164,0.00001362171,0.00002016578,0.00001049267,0.0001752541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5233364,"threshold_uncertainty_score":0.7294355,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306318802","doi":"10.1784/insi.2022.64.10.560","title":"Application of a chord transducer for ultrasonic detection and characterisation of defects in MDPE butt fusion joints","year":2022,"lang":"en","type":"article","venue":"Insight - Non-Destructive Testing and Condition Monitoring","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Ultrasonic sensor; Transducer; Ultrasonic testing; Acoustics; Chord (peer-to-peer); Materials science; Butt joint; Joint (building); Nondestructive testing; Structural engineering; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.0165048010701995,"gpt":0.2438200780856736,"spread":0.2273152770154741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002839656,0.0001907308,0.0002774457,0.0003425876,0.0001735951,0.00001616223,0.00007384439,0.00007713535,0.000002061681],"category_scores_gemma":[0.0001706278,0.0002335466,0.00003553075,0.0004336956,0.00007931893,0.000266252,0.00003396193,0.000241786,1.045866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001803785,"about_ca_system_score_gemma":0.00002190485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607367,"about_ca_topic_score_gemma":0.000005624123,"domain_scores_codex":[0.998881,0.00005917701,0.0004124539,0.0002929055,0.0001703627,0.0001840355],"domain_scores_gemma":[0.9990146,0.0004360973,0.000230749,0.0001371437,0.0001382004,0.00004322515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004081148,0.00002165225,0.09916658,0.0002366894,0.00001332316,6.791684e-7,0.0007028145,0.0001574734,0.8830879,0.0001692333,1.659228e-7,0.01640271],"study_design_scores_gemma":[0.0005930188,0.0002814951,0.6767378,0.0002004565,0.00003072638,0.00003674094,0.0002514114,0.00385757,0.2967318,0.02107184,0.000001990649,0.0002051252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855717,0.00009428795,0.01309527,0.00000272327,0.0001878084,0.000660872,0.00003713137,0.000192726,0.0001574992],"genre_scores_gemma":[0.9722965,0.00002100877,0.02709456,0.000001463295,0.00007659705,0.000454551,0.00001459175,0.00004031536,4.121749e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.586356,"threshold_uncertainty_score":0.9523752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}