{"meta":{"query_hash":"dfa258a10504","filters":{"venue":"Inverse Problems in Science and Engineering"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/dfa258a10504","api":"https://metacan.xera.ac/api/v1/cohort?venue=Inverse+Problems+in+Science+and+Engineering"},"results":[{"id":"W1976593327","doi":"10.1080/17415977.2014.906414","title":"Recovering multiple small inclusions in a three-dimensional domain using a single measurement","year":2014,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Electrical and Bioimpedance Tomography","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computation; Bounded function; Boundary (topology); Domain (mathematical analysis); Algorithm; Polynomial; Electrical impedance; Mathematics; Electrical impedance tomography; Computer science; Mathematical analysis; Geometry; Physics","score_opus":0.031375469607582245,"score_gpt":0.19621186341567792,"score_spread":0.16483639380809567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976593327","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":[0.98782766,0.00023688548,0.011312037,0.000023166922,0.00017220186,0.00016557895,7.34619e-7,0.00011051134,0.0001512499],"genre_scores_gemma":[0.9856006,0.000014159029,0.014287744,0.000028532428,0.000027175614,0.000025263198,2.679132e-7,0.000015746737,5.3695527e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985676,0.000009276065,0.00025664043,0.00027841426,0.0003769198,0.0005111708],"domain_scores_gemma":[0.9996372,0.000046524226,0.000019324993,0.00012968665,0.000050810162,0.00011648205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012645893,0.00016390625,0.00017220521,0.0005821389,0.00008559669,0.000049019873,0.00017079392,0.000060770384,0.000002296471],"category_scores_gemma":[0.00016773652,0.000158979,0.000026561764,0.0015491598,0.000083478684,0.0002713161,0.00011705703,0.00022441652,0.0000016412824],"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":[0.0000018265381,0.000022675475,0.0075970883,0.000059786045,0.0000025588067,0.0000029004134,0.00018988771,0.5543661,0.43506002,0.000044418375,0.0000022883091,0.0026504302],"study_design_scores_gemma":[0.0003897155,0.00003320281,0.0050604884,0.00030552404,0.0000022463926,0.000008374584,0.000012137012,0.98954016,0.0035596045,0.0005676619,0.00028167988,0.00023922039],"about_ca_topic_score_codex":0.0002251361,"about_ca_topic_score_gemma":0.0016667275,"teacher_disagreement_score":0.43517405,"about_ca_system_score_codex":0.00033264377,"about_ca_system_score_gemma":0.00003644436,"threshold_uncertainty_score":0.64829755},"labels":[],"label_agreement":null},{"id":"W1987166608","doi":"10.1080/17415977.2013.856899","title":"Estimation of relative permeability and capillary pressure for tight formations by assimilating field production data","year":2013,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":36,"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 Regina","funders":"","keywords":"Relative permeability; Capillary pressure; Capillary action; Permeability (electromagnetism); Approximation error; Mechanics; Materials science; Environmental science; Chemistry; Mathematics; Composite material; Algorithm; Physics; Porous medium; Membrane","score_opus":0.029615645967525393,"score_gpt":0.2734884739119197,"score_spread":0.24387282794439433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987166608","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":[0.69776064,0.0003486977,0.30095208,0.00010979849,0.0001502088,0.00047823094,0.000010135826,0.00008350572,0.000106702864],"genre_scores_gemma":[0.9367499,0.000056924346,0.06310053,0.0000037186264,0.000012127951,0.00004766417,0.000008991952,0.000008304539,0.000011852158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992829,0.0000072539415,0.00022528226,0.00018850031,0.00013759972,0.00015845952],"domain_scores_gemma":[0.9994883,0.00014868537,0.000027502852,0.00021437189,0.00007215298,0.000049021324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080071343,0.00008826523,0.00011213449,0.00013834391,0.00006001289,0.00004285907,0.0001223968,0.000051417,0.0000024423382],"category_scores_gemma":[0.0009468325,0.000086751425,0.000007779095,0.0002998978,0.000055037235,0.0016887465,0.000054815515,0.00010611462,2.5236534e-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":[4.7489624e-7,0.000003196964,0.0005608031,0.00036277281,0.0000048644283,1.5916468e-8,0.00067178044,0.9756412,0.01904218,0.000060452767,0.00020537229,0.0034468807],"study_design_scores_gemma":[0.00011874783,0.000013493013,0.0012425422,0.00007590339,0.0000059007757,0.0000012259242,0.000055182725,0.9929015,0.0049247546,0.00028208143,0.00028568687,0.000093000686],"about_ca_topic_score_codex":0.000029196552,"about_ca_topic_score_gemma":0.0000027153148,"teacher_disagreement_score":0.23898925,"about_ca_system_score_codex":0.000025600371,"about_ca_system_score_gemma":0.0000144714995,"threshold_uncertainty_score":0.35376203},"labels":[],"label_agreement":null},{"id":"W1987976208","doi":"10.1080/17415977.2014.934821","title":"Optimal design of simultaneous source encoding","year":2014,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":8,"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":"Computer science; Range (aeronautics); Inverse problem; Set (abstract data type); Domain (mathematical analysis); Selection (genetic algorithm); Energy (signal processing); Algorithm; Reduction (mathematics); Field (mathematics); Encoding (memory); Mathematical optimization; Inverse; Mathematics; Statistics; Artificial intelligence","score_opus":0.017099732246512164,"score_gpt":0.20836145481100268,"score_spread":0.19126172256449053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987976208","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":[0.45885158,0.00008647196,0.5400659,0.000004324716,0.00010182213,0.00010031842,2.003788e-7,0.0002703531,0.0005190297],"genre_scores_gemma":[0.9639752,0.000052384807,0.03592332,0.000009819513,0.000016869662,0.0000050462427,9.645373e-8,0.00001304621,0.000004234708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992638,0.0000064001747,0.00015761016,0.00015124923,0.00017262515,0.0002483173],"domain_scores_gemma":[0.9996445,0.00010250889,0.000017812232,0.0001356849,0.0000443604,0.000055099892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004975153,0.00010361357,0.00013200493,0.00024900347,0.000031994623,0.0000306435,0.00016785452,0.000040488634,0.0000014947423],"category_scores_gemma":[0.0001488417,0.00010656478,0.000011757782,0.00040578097,0.0001116135,0.0001841554,0.000050363058,0.000111075744,0.0000013571691],"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":[5.3223357e-7,0.0000022370934,0.000051432035,0.000020438243,0.0000013895444,0.0000012136404,0.00032285418,0.76980776,0.22716245,0.000064026746,0.000011130514,0.0025545622],"study_design_scores_gemma":[0.000077536264,0.000023717497,0.000022987266,0.00012393603,0.0000021049377,0.000008108251,0.00003408166,0.93653625,0.06259262,0.00005909751,0.00040236666,0.00011718291],"about_ca_topic_score_codex":0.000016639868,"about_ca_topic_score_gemma":0.0000012033387,"teacher_disagreement_score":0.5051236,"about_ca_system_score_codex":0.00003876804,"about_ca_system_score_gemma":0.000013205621,"threshold_uncertainty_score":0.43455857},"labels":[],"label_agreement":null},{"id":"W2025789108","doi":"10.1080/17415970500354235","title":"An inverse blade design method for subsonic and transonic viscous flow in compressors and turbines","year":2006,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":24,"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":"Reynolds-averaged Navier–Stokes equations; Inviscid flow; Turbomachinery; Transonic; Turbine blade; Finite volume method; Mathematics; Turbulence; Mechanics; Euler equations; Turbine; Aerodynamics; Physics; Mathematical analysis; Mechanical engineering; Engineering","score_opus":0.011032200515993,"score_gpt":0.2301083026166953,"score_spread":0.2190761021007023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025789108","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":[0.67555237,0.00029722572,0.3237533,0.00002638662,0.0000734929,0.0002265902,0.000005449892,0.000053104322,0.00001207275],"genre_scores_gemma":[0.88081324,0.00014565434,0.1189553,0.000012889931,0.000016820615,0.00003230348,0.0000032356481,0.00001811414,0.000002469865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990533,0.0000102416925,0.00020761877,0.00028157744,0.00013248774,0.00031479477],"domain_scores_gemma":[0.99969023,0.000102644975,0.000012637018,0.00008439404,0.00003168373,0.00007838375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000687952,0.00015495582,0.00016813779,0.00032145774,0.000058039,0.00009783017,0.00010659493,0.000054561086,5.47359e-7],"category_scores_gemma":[0.000022056913,0.00016552878,0.000012378564,0.000422695,0.00011211465,0.00041460388,0.000022415412,0.000119991906,1.4803601e-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":[0.0000024951887,0.000009321285,0.000475505,0.00010352025,0.0000022370268,0.0000024496555,0.0004180289,0.9689987,0.027401818,0.0008481569,0.000003287792,0.0017344878],"study_design_scores_gemma":[0.0004942549,0.000028048244,0.0047957273,0.00006648868,0.0000048176153,0.000012012732,0.000042514843,0.9920854,0.00020090453,0.0020380036,0.000031429336,0.00020041865],"about_ca_topic_score_codex":0.00016453414,"about_ca_topic_score_gemma":0.0005727567,"teacher_disagreement_score":0.20526083,"about_ca_system_score_codex":0.000075941796,"about_ca_system_score_gemma":0.000028942792,"threshold_uncertainty_score":0.67500675},"labels":[],"label_agreement":null},{"id":"W2034425550","doi":"10.1080/17415977.2013.764873","title":"Solution of electromagnetic inverse medium scattering problems by the adaptive finite element method and perfectly matched layer","year":2013,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Geophysical Methods and Applications","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":"University of Waterloo","keywords":"Finite element method; Inverse problem; Permittivity; Inverse scattering problem; Electromagnetics; Mathematical analysis; Scattering; Inverse; Electromagnetic radiation; Physics; Mathematics; Optics; Dielectric; Geometry","score_opus":0.017697100328415122,"score_gpt":0.23621494840588486,"score_spread":0.21851784807746974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034425550","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":[0.89987624,0.00027834284,0.09833092,0.00039676504,0.00008368773,0.0007216383,0.0000037092495,0.00008879581,0.0002199186],"genre_scores_gemma":[0.9674164,0.00012403804,0.032118242,0.000036116806,0.000016251079,0.00026085682,7.610813e-7,0.000014980639,0.00001232922],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892366,0.000019480543,0.00023961479,0.00023939906,0.00021422902,0.00036360786],"domain_scores_gemma":[0.99952775,0.00011764741,0.000036036723,0.00016447384,0.0000603585,0.000093701485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007331454,0.00015192317,0.00017007174,0.00012440093,0.00007980765,0.00005817498,0.0001795828,0.00004312641,0.000010011021],"category_scores_gemma":[0.000051136325,0.00012281914,0.000018652476,0.00060930627,0.00018235554,0.00032065288,0.00009062831,0.00019342137,0.00000493],"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":[4.623111e-7,0.000010137417,0.00010949312,0.0000994031,0.000006430278,9.720151e-8,0.00092791807,0.07058172,0.92360264,0.00016087054,0.00007025608,0.004430562],"study_design_scores_gemma":[0.0002114417,0.00007064942,0.004193205,0.00008878028,0.000011692821,0.00000410441,0.00020521675,0.9657642,0.027704692,0.0013120869,0.00024074332,0.00019317488],"about_ca_topic_score_codex":0.00029745168,"about_ca_topic_score_gemma":0.000022329199,"teacher_disagreement_score":0.895898,"about_ca_system_score_codex":0.000055789897,"about_ca_system_score_gemma":0.000019774981,"threshold_uncertainty_score":0.5008419},"labels":[],"label_agreement":null},{"id":"W2043649835","doi":"10.1080/17415970802404977","title":"An inverse design method for viscous flow in turbomachinery blading using a wall virtual movement","year":2009,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Turbomachinery; Transonic; Aerodynamics; Blade element momentum theory; Mechanics; Turbulence; Blade element theory; Gas compressor; Turbine blade; Turbine; Mathematics; Mechanical engineering; Physics; Engineering","score_opus":0.017566266657786767,"score_gpt":0.2586116264228316,"score_spread":0.24104535976504482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043649835","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":[0.396759,0.00002783913,0.602769,0.000020234593,0.00012474204,0.00021759477,0.0000024082512,0.00006209312,0.000017095199],"genre_scores_gemma":[0.7144232,0.000019899444,0.28540498,0.00009958856,0.000021355818,0.000010440727,0.0000025292643,0.000016325954,0.0000017018484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987496,0.000011892275,0.00028134952,0.00030928693,0.00022703371,0.0004208182],"domain_scores_gemma":[0.99961597,0.00007371771,0.00001936086,0.00012836176,0.000047418765,0.00011514937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001271551,0.00018433775,0.00018092322,0.0005312395,0.00006837622,0.00010459743,0.0001942288,0.00005583281,0.0000012805103],"category_scores_gemma":[0.0000606178,0.00020271497,0.000024121702,0.00059405685,0.00003440332,0.0005893742,0.000027583248,0.00015982664,3.9109557e-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":[0.000002759575,0.000016346201,0.00009219395,0.00002471855,0.0000027046256,0.000004151226,0.00074831326,0.8825051,0.109011285,0.00067386805,0.0000020915488,0.0069164466],"study_design_scores_gemma":[0.00037479046,0.000059388654,0.00059011416,0.00009400013,0.0000038943094,0.00000644815,0.000055031123,0.99656475,0.00029729062,0.0016945099,0.0000116710935,0.0002481432],"about_ca_topic_score_codex":0.000056815254,"about_ca_topic_score_gemma":0.00008129759,"teacher_disagreement_score":0.31766418,"about_ca_system_score_codex":0.00035620536,"about_ca_system_score_gemma":0.00006242601,"threshold_uncertainty_score":0.8266477},"labels":[],"label_agreement":null},{"id":"W2059753214","doi":"10.1080/17415977.2012.667090","title":"Control of the ledge thickness in high-temperature metallurgical reactors using a virtual sensor","year":2012,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Numerical methods in inverse problems","field":"Mathematics","cited_by":20,"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 de Sherbrooke","funders":"","keywords":"Overshoot (microwave communication); Control theory (sociology); Heat flux; Tracking (education); Position (finance); Kalman filter; Estimator; Phase (matter); Heat transfer; Filter (signal processing); Temperature control; Computer science; Materials science; Mechanics; Mechanical engineering; Mathematics; Engineering; Physics; Control (management)","score_opus":0.04755348489802804,"score_gpt":0.29441464484068647,"score_spread":0.24686115994265842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059753214","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":[0.99397856,0.000067094414,0.004809999,0.00007015547,0.0006188047,0.0003513591,0.0000024599337,0.000029024794,0.00007255439],"genre_scores_gemma":[0.9590439,0.00000895662,0.040811244,0.000047151487,0.000042886302,0.000018612505,8.0129624e-8,0.000017829776,0.000009312088],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815685,0.00010745677,0.00043549863,0.00026319042,0.0004927352,0.0005442728],"domain_scores_gemma":[0.9988925,0.00049055857,0.00011564112,0.00029544006,0.00008146925,0.00012437909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035023834,0.0001885607,0.0003637691,0.0002710949,0.00006831446,0.000034243916,0.00034757133,0.00013222532,0.000009615447],"category_scores_gemma":[0.0021359955,0.00013277412,0.000047382135,0.0014664457,0.0004425511,0.00056520203,0.00018877612,0.00049242354,0.0000012533783],"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":[0.000015473837,0.00018093007,0.016000688,0.00038122092,0.000019451354,0.000005151482,0.0051330016,0.0415778,0.8788001,0.057576638,0.000009314363,0.00030023555],"study_design_scores_gemma":[0.009655065,0.00027894782,0.025268106,0.0045301835,0.00030526175,0.00041514533,0.0050691837,0.7840545,0.11768558,0.047900796,0.0016765413,0.0031606946],"about_ca_topic_score_codex":0.00012389963,"about_ca_topic_score_gemma":0.000010185553,"teacher_disagreement_score":0.76111454,"about_ca_system_score_codex":0.00017436777,"about_ca_system_score_gemma":0.00008580709,"threshold_uncertainty_score":0.54143715},"labels":[],"label_agreement":null},{"id":"W2114275657","doi":"10.1080/17415970701529213","title":"Padé approximations for identification of air bubble volume from temperature- or frequency-dependent permittivity of a two-component mixture","year":2008,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Acoustic Wave Phenomena Research","field":"Engineering","cited_by":23,"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 Science Foundation","keywords":"Permittivity; Volume fraction; Materials science; Component (thermodynamics); Representation (politics); Mathematical analysis; Mathematics; Thermodynamics; Physics; Dielectric; Composite material","score_opus":0.022474549766082874,"score_gpt":0.24325367514034732,"score_spread":0.22077912537426445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114275657","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":[0.95588297,0.00016252698,0.043135732,0.000028343362,0.00014853699,0.00045744752,0.00007111626,0.00005370992,0.00005961967],"genre_scores_gemma":[0.98837024,0.00006304685,0.01136973,0.0000034240104,0.000026341439,0.00009573791,0.0000067570163,0.000015885525,0.000048816768],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870723,0.000008374311,0.0003706668,0.00023949513,0.0003986987,0.0002755531],"domain_scores_gemma":[0.9993745,0.000085423744,0.000051305775,0.00023485554,0.00017645748,0.000077463184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067816634,0.00012411377,0.00020658907,0.00030712,0.0000725997,0.000018009368,0.00025618414,0.00005625129,0.000007790159],"category_scores_gemma":[0.0002333318,0.00011546227,0.000026602778,0.0006576726,0.00020489049,0.00040268162,0.00005620879,0.00016331789,0.0000014729837],"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":[0.0000025773566,0.00002290506,0.0007639474,0.0002182084,0.0000075562484,0.0000011520018,0.0012421347,0.35204175,0.6454728,0.000112899426,0.000019949593,0.00009410109],"study_design_scores_gemma":[0.0005034192,0.000031415715,0.0060969135,0.000109469765,0.000008089561,0.0000075443154,0.00021412244,0.9204101,0.071865164,0.00055135,0.000029181472,0.00017320449],"about_ca_topic_score_codex":0.00015984011,"about_ca_topic_score_gemma":0.000030942887,"teacher_disagreement_score":0.5736076,"about_ca_system_score_codex":0.00015057935,"about_ca_system_score_gemma":0.00010851419,"threshold_uncertainty_score":0.4708415},"labels":[],"label_agreement":null},{"id":"W2161061572","doi":"10.1080/17415977.2014.995184","title":"Robust inversion for material parameters identification from correlated outlying observations","year":2015,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":3,"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":"Université de Moncton","keywords":"Outlier; Robustness (evolution); Inversion (geology); Geodetic datum; Algorithm; Leverage (statistics); Computer science; Mathematics; Mathematical optimization; Applied mathematics; Statistics; Geology; Geodesy","score_opus":0.10543011324960523,"score_gpt":0.2523224480228826,"score_spread":0.1468923347732774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161061572","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":[0.9259334,0.00001969581,0.07297667,0.000060579707,0.00055064255,0.00027251206,0.000015650427,0.00013419718,0.000036632293],"genre_scores_gemma":[0.9292331,0.000012736523,0.070545405,0.000018376615,0.00003116788,0.00012500025,0.000014770706,0.000012965771,0.0000065066347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924344,0.0000048363595,0.00019453492,0.00020327784,0.00014742334,0.00020650757],"domain_scores_gemma":[0.9995958,0.000057017485,0.000023511915,0.00013636125,0.00007868885,0.000108578926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043755388,0.00009323228,0.000101290476,0.00012728148,0.000065579225,0.00009895261,0.00014396649,0.00004778714,0.0000010507093],"category_scores_gemma":[0.00018706599,0.00009905697,0.000014710293,0.0005520325,0.000062729014,0.0004473429,0.000034949935,0.00008128683,0.0000054697175],"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":[0.0000015312403,0.000008295141,0.00047151092,0.000028239763,0.0000035574058,1.7798942e-7,0.00062428135,0.7464203,0.25036874,0.0003950138,0.00011691705,0.0015613957],"study_design_scores_gemma":[0.00023066183,0.000009191815,0.0042717005,0.000043066782,0.000007261916,3.523103e-7,0.0001919028,0.9875968,0.0052188463,0.0018577573,0.00043557977,0.00013685589],"about_ca_topic_score_codex":0.0001225297,"about_ca_topic_score_gemma":0.000010142051,"teacher_disagreement_score":0.2451499,"about_ca_system_score_codex":0.00010308242,"about_ca_system_score_gemma":0.00002461273,"threshold_uncertainty_score":0.40394258},"labels":[],"label_agreement":null},{"id":"W2955724291","doi":"10.1080/17415977.2019.1630403","title":"Inversing fracture parameters using early-time production data for fractured wells","year":2019,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":7,"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 Regina","funders":"State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation; Southwest Petroleum University","keywords":"Fracture (geology); Petroleum engineering; Production (economics); Geology; Geotechnical engineering","score_opus":0.02010838269787596,"score_gpt":0.2290296050247137,"score_spread":0.20892122232683774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955724291","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":[0.99131274,0.00021611826,0.0071592126,0.00014551857,0.0005230287,0.00039558377,0.000006279474,0.0001556173,0.00008589226],"genre_scores_gemma":[0.99196184,0.00004567419,0.007801145,0.00006733403,0.000054596327,0.000008171071,0.000011218505,0.000024239704,0.00002579321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850035,0.0000073105075,0.00023040791,0.0004926997,0.0003032783,0.00046598032],"domain_scores_gemma":[0.99919575,0.000053382908,0.00003600662,0.00054804893,0.000052426578,0.00011439748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087598426,0.0001927253,0.0002349841,0.00044549417,0.00009209093,0.00013175506,0.00042469596,0.000104397695,0.0000082836905],"category_scores_gemma":[0.00017805364,0.00018311568,0.000032191947,0.0007534965,0.00008623255,0.0011825548,0.00010649719,0.00025897226,0.000016393917],"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":[0.0000020851114,0.000005504208,0.0007558731,0.00016211395,0.000017891716,8.932792e-7,0.00050387916,0.9543177,0.043700907,5.479571e-7,0.00028006698,0.00025251877],"study_design_scores_gemma":[0.00020289572,0.000013474762,0.00051209226,0.00016130901,0.000020476442,0.0000051004063,0.00007151492,0.9895667,0.0053009833,0.00003641795,0.0038531912,0.00025588082],"about_ca_topic_score_codex":0.00020348941,"about_ca_topic_score_gemma":0.000011231441,"teacher_disagreement_score":0.038399924,"about_ca_system_score_codex":0.0001847638,"about_ca_system_score_gemma":0.000045985522,"threshold_uncertainty_score":0.7467241},"labels":[],"label_agreement":null},{"id":"W3045610848","doi":"10.1080/17415977.2020.1797003","title":"Colour level set regularization for the electromagnetic imaging of highly discontinuous parameters in 3D","year":2020,"lang":"en","type":"article","venue":"Inverse Problems in Science and Engineering","topic":"Electrical and Bioimpedance Tomography","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":"Prioris.ai (Canada)","funders":"","keywords":"Regularization (linguistics); Shielded cable; Voxel; Computer science; Electromagnetic field; Iterative reconstruction; Focus (optics); Algorithm; Inverse problem; Mathematics; Artificial intelligence; Physics; Mathematical analysis; Optics; Telecommunications","score_opus":0.019079102740538617,"score_gpt":0.20366127624948574,"score_spread":0.18458217350894712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045610848","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":[0.9766813,0.0005792131,0.021745304,0.00042815812,0.00007490867,0.000385876,0.000004995602,0.00005771026,0.000042569038],"genre_scores_gemma":[0.9952632,0.00010813095,0.0045093317,0.00005625136,0.000011612816,0.000038970305,9.2707324e-7,0.000009112538,0.0000024663486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992441,0.0000039914494,0.00018045683,0.0001583207,0.00013663367,0.00027649052],"domain_scores_gemma":[0.9997814,0.000057002548,0.000019048975,0.00006977856,0.000026959071,0.0000457845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003084508,0.000090268026,0.00011377555,0.0001614009,0.00002859551,0.00003218162,0.00016592687,0.000023160743,3.7620012e-7],"category_scores_gemma":[0.00010661344,0.00007256266,0.000019224666,0.001289697,0.00009336036,0.00015940703,0.00002429131,0.00010661693,2.0743268e-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":[0.000007205078,0.000008597058,0.0052197874,0.00020903804,0.0000064737733,0.0000016628873,0.0011767097,0.6117766,0.37517303,0.0002610854,0.0000739964,0.0060857935],"study_design_scores_gemma":[0.00025972901,0.00005815802,0.0048625804,0.00004641981,0.000005168194,0.000001795434,0.00006026694,0.98420787,0.010126079,0.00013854519,0.0001218051,0.00011157049],"about_ca_topic_score_codex":0.00002680146,"about_ca_topic_score_gemma":0.000019978885,"teacher_disagreement_score":0.37243128,"about_ca_system_score_codex":0.000030281259,"about_ca_system_score_gemma":0.000021516307,"threshold_uncertainty_score":0.29590192},"labels":[],"label_agreement":null}]}