{"meta":{"query_hash":"ec3274316cb7","filters":{"venue":"International Journal of Machine Tools and Manufacture"},"cohort_total":81,"direct_labels_cover":0,"predictions_cover":81,"exported":81,"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/ec3274316cb7","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Machine+Tools+and+Manufacture"},"results":[{"id":"W1954337672","doi":"10.1016/j.ijmachtools.2015.10.006","title":"Effect of dynamic recrystallization at tool-chip interface on accelerating tool wear during high-speed cutting of AISI1045 steel","year":2015,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Microstructure; Dynamic recrystallization; Materials science; Impact crater; Recrystallization (geology); Grain boundary; Shear zone; Grain size; Composite material; Metallurgy; Geology; Hot working","score_opus":0.018643450074639384,"score_gpt":0.2761225457827711,"score_spread":0.25747909570813177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1954337672","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":[0.9979545,0.0003091129,0.00029617816,0.00024079022,0.00072409376,0.00013074931,0.000060837276,0.000010675962,0.000273068],"genre_scores_gemma":[0.99860585,0.00006228207,0.00073066,0.00003984593,0.00013229293,9.382714e-7,0.000011573731,0.000016396145,0.00040017048],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99824077,0.00019221538,0.00064944895,0.00015837414,0.0006292233,0.00012999013],"domain_scores_gemma":[0.9986667,0.00019752327,0.0007034906,0.00011529949,0.00025531428,0.00006167769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009983296,0.00017679964,0.0003721772,0.00012776419,0.000049765924,0.00010273723,0.00032034685,0.0000675319,0.00017961254],"category_scores_gemma":[0.00047425966,0.00011695026,0.000096106036,0.000038083872,0.00004837387,0.00040632382,0.00017783768,0.00019210114,0.000005538475],"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":[0.0022106718,0.000041349205,0.00080828206,0.00012587859,0.00008181843,0.000017529172,0.00058455224,0.006180828,0.97956085,0.00009589038,0.00003730614,0.010255027],"study_design_scores_gemma":[0.0016477432,0.00094756664,0.006509319,0.00036630948,0.000039034796,0.00014196929,0.000056554687,0.0011847581,0.9885438,0.00014196643,0.00028348315,0.00013751426],"about_ca_topic_score_codex":0.000040470888,"about_ca_topic_score_gemma":0.000008863817,"teacher_disagreement_score":0.010117512,"about_ca_system_score_codex":0.00008946419,"about_ca_system_score_gemma":0.000030645286,"threshold_uncertainty_score":0.4769093},"labels":[],"label_agreement":null},{"id":"W1969677729","doi":"10.1016/j.ijmachtools.2009.08.008","title":"An investigation of the effects of wheel-cleaning parameters in creep-feed grinding","year":2009,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"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":"Grinding; Grinding wheel; Abrasive; Materials science; Coolant; Surface roughness; Thermal; Jet (fluid); Volumetric flow rate; Process (computing); Surface grinding; Surface finish; Mechanical engineering; Metallurgy; Composite material; Mechanics; Engineering; Computer science","score_opus":0.004772277578330032,"score_gpt":0.2265046200574934,"score_spread":0.22173234247916335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969677729","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":[0.9854713,0.00032197993,0.013591725,0.0001865714,0.00029756743,0.00005988341,0.000005099027,0.000007763782,0.00005812677],"genre_scores_gemma":[0.99538463,0.00018032454,0.0042930287,0.00008744326,0.000039133938,3.8448533e-7,0.0000046910523,0.000007086238,0.000003301452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994115,0.00002066305,0.00026612575,0.00005393208,0.00018545217,0.00006231639],"domain_scores_gemma":[0.99954736,0.0000789846,0.00022049567,0.000054529602,0.00006848565,0.0000301585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011279002,0.00008209265,0.000143559,0.00011302435,0.000014555846,0.00002335665,0.00018082261,0.000040584815,0.000002712838],"category_scores_gemma":[0.00007909549,0.000058342583,0.00004130891,0.00006046042,0.00001913234,0.00034784182,0.000012456568,0.00018549128,3.432274e-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":[0.00007317581,0.000026297575,0.010421614,0.00009863833,0.00005521106,0.000008115972,0.0012057205,0.88268286,0.033678215,0.00041765143,0.00001933965,0.07131314],"study_design_scores_gemma":[0.0022505769,0.0004904377,0.6357757,0.0010864261,0.00006099168,0.000094540956,0.00017384643,0.061280478,0.28927538,0.009182424,0.0000816985,0.00024752598],"about_ca_topic_score_codex":0.0000072153775,"about_ca_topic_score_gemma":0.000009427858,"teacher_disagreement_score":0.82140243,"about_ca_system_score_codex":0.00002438659,"about_ca_system_score_gemma":0.000010083913,"threshold_uncertainty_score":0.23791414},"labels":[],"label_agreement":null},{"id":"W1970936586","doi":"10.1016/j.ijmachtools.2014.09.002","title":"A new approach to contour error control in high speed machining","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traverse; Machining; Interpolation (computer graphics); Machine tool; Controller (irrigation); Software; Process (computing); Computer science; Engineering; Numerical control; Table (database); Control engineering; Mechanical engineering","score_opus":0.008235111171242973,"score_gpt":0.23395335815053347,"score_spread":0.2257182469792905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970936586","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":[0.41522777,0.0005243373,0.56866235,0.0034399324,0.0020414493,0.0003374284,0.000052081916,0.00006531547,0.00964933],"genre_scores_gemma":[0.99512315,0.000005601879,0.002956227,0.00069968065,0.00081282324,0.0000015840806,0.000008016635,0.000022170008,0.0003707443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892044,0.00007912949,0.00041541082,0.000120307246,0.00030674713,0.00015797027],"domain_scores_gemma":[0.99943304,0.0001360587,0.00012982012,0.00007819116,0.00008429465,0.00013856545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004502993,0.00016925498,0.000348751,0.00023800397,0.000018723451,0.00017149097,0.00028180287,0.000067198285,0.0000709403],"category_scores_gemma":[0.00014460152,0.00013419455,0.00006860344,0.000041125582,0.0000076177453,0.00022255376,0.00002409556,0.00042396787,0.000008882114],"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":[0.00082667515,0.00008808831,0.012096071,0.000057181074,0.0007801474,0.0001196192,0.0030320107,0.76441514,0.011350964,0.003913304,0.011902841,0.19141795],"study_design_scores_gemma":[0.023154348,0.000504445,0.24326886,0.0005570627,0.000103233026,0.0011802688,0.00021488748,0.5374069,0.0009113876,0.0022088138,0.18945879,0.00103096],"about_ca_topic_score_codex":0.00010472024,"about_ca_topic_score_gemma":0.000032976837,"teacher_disagreement_score":0.5798954,"about_ca_system_score_codex":0.00007165198,"about_ca_system_score_gemma":0.000015679834,"threshold_uncertainty_score":0.54722947},"labels":[],"label_agreement":null},{"id":"W1973583212","doi":"10.1016/j.ijmachtools.2011.12.008","title":"Unified cutting force model for turning, boring, drilling and milling operations","year":2011,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Sandvik Coromant; Machine Tool Technologies Research Foundation","keywords":"Drilling; Mechanical engineering; Rake; Machining; Enhanced Data Rates for GSM Evolution; Rake angle; Transformation matrix; Engineering; Insert (composites); Transformation (genetics); Orientation (vector space); Cutting tool; Run-out; Engineering drawing; Computer science; Kinematics; Geometry; Mathematics; Classical mechanics; Physics","score_opus":0.022777752968434498,"score_gpt":0.25381830775659725,"score_spread":0.23104055478816277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973583212","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":[0.098925985,0.0010386388,0.89916945,0.00008284896,0.00029927643,0.00007225186,0.00003074455,0.000030232015,0.00035059388],"genre_scores_gemma":[0.8878674,0.0009139854,0.11083578,0.00008722502,0.00015265128,0.00000298307,0.000017521554,0.00002139191,0.000101080856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994164,0.000004584349,0.00027124013,0.00008948083,0.000113682385,0.00010460015],"domain_scores_gemma":[0.9996071,0.000044155007,0.00008907651,0.000039975715,0.00016065911,0.00005906843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012381647,0.00011883311,0.00013561024,0.00009190545,0.000081199345,0.00008961899,0.00011571334,0.000051087194,0.000009644569],"category_scores_gemma":[0.00006552165,0.00009998439,0.000041413543,0.000019968218,0.000013858317,0.0004461501,0.000025283714,0.00018069605,1.0681722e-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":[0.000039915103,0.0000080919435,0.00011851767,0.000031922777,0.00007418181,0.0000034900725,0.0013678678,0.9748462,0.0008907846,0.0011778596,0.000022458187,0.021418702],"study_design_scores_gemma":[0.00053159066,0.00004672201,0.00022799743,0.000074060285,0.000031689127,0.0000702587,0.00007999991,0.99202895,0.003236511,0.0027696704,0.0007786071,0.00012394766],"about_ca_topic_score_codex":0.0000048490197,"about_ca_topic_score_gemma":0.0000098821665,"teacher_disagreement_score":0.7889414,"about_ca_system_score_codex":0.000019028494,"about_ca_system_score_gemma":0.000012377278,"threshold_uncertainty_score":0.4077245},"labels":[],"label_agreement":null},{"id":"W1975356408","doi":"10.1016/s0890-6955(02)00234-1","title":"Optimized feed scheduling in three axes machining","year":2002,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Machining; Scheduling (production processes); Machine tool; Ball screw; Gain scheduling; Engineering; Control theory (sociology); Tool path; Control engineering; Computer science; Mechanical engineering; Control system; Control (management); Operations management","score_opus":0.013069183802885484,"score_gpt":0.2378326859678843,"score_spread":0.2247635021649988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975356408","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":[0.4591501,0.010594251,0.5222751,0.0018579243,0.0017675513,0.00015649058,0.000056039014,0.00011859307,0.0040239533],"genre_scores_gemma":[0.9609466,0.0017050104,0.036950387,0.0001385399,0.0001878945,0.0000014942086,0.000010112196,0.000022536491,0.000037404396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917954,0.000011059101,0.00036367445,0.00009329714,0.00022268792,0.0001297559],"domain_scores_gemma":[0.9996055,0.00007548118,0.00013002723,0.00005505421,0.00007513631,0.00005881686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013440214,0.00014472971,0.00020733515,0.0001931714,0.000030218185,0.00010926159,0.00020725241,0.00006358735,0.0001866287],"category_scores_gemma":[0.0000786385,0.000120478224,0.000056072717,0.000056114455,0.00001606974,0.00048104915,0.000034172488,0.00038066483,0.000002102158],"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":[0.000047331403,0.000020435858,0.00068108155,0.000016240016,0.00006165632,0.000048474,0.00024612193,0.90854365,0.00015404855,0.00015858747,0.000052904867,0.08996948],"study_design_scores_gemma":[0.0025693623,0.00006284619,0.005318858,0.00018928532,0.000024324641,0.00029998264,0.00006440245,0.985252,0.0007239727,0.0023209697,0.0029107803,0.0002631908],"about_ca_topic_score_codex":0.000007718444,"about_ca_topic_score_gemma":0.000017221673,"teacher_disagreement_score":0.50179654,"about_ca_system_score_codex":0.000040617382,"about_ca_system_score_gemma":0.0000050760495,"threshold_uncertainty_score":0.49129593},"labels":[],"label_agreement":null},{"id":"W1981838797","doi":"10.1016/j.ijmachtools.2009.05.001","title":"Single setup estimation of a five-axis machine tool eight link errors by programmed end point constraint and on the fly measurement with Capball sensor","year":2009,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machine tool; Cartesian coordinate system; Coordinate-measuring machine; Offset (computer science); Computer science; Kinematics; Position (finance); Control theory (sociology); Algorithm; Simulation; Engineering; Artificial intelligence; Mathematics; Geometry","score_opus":0.013703162421434583,"score_gpt":0.22980934206314077,"score_spread":0.2161061796417062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981838797","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":[0.8625033,0.002405368,0.11840647,0.01446295,0.00026999638,0.0006701163,0.00022908948,0.00009054285,0.00096218294],"genre_scores_gemma":[0.99222934,0.00016671716,0.0071147587,0.00037796012,0.00005563471,0.000003955787,0.00002207934,0.000011462634,0.000018087992],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890757,0.000032407817,0.00033242698,0.00010663539,0.0004961693,0.0001247933],"domain_scores_gemma":[0.9994058,0.00006162407,0.00020278903,0.000082292405,0.00019103293,0.00005646022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004128211,0.00018126641,0.000222264,0.00010088676,0.0000353606,0.000045276494,0.00013205266,0.000063737025,0.00003421118],"category_scores_gemma":[0.00009190541,0.0001067224,0.000051890896,0.00003107785,0.00008107175,0.00016317931,0.000012269717,0.00030497427,2.0101444e-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":[0.00096142356,0.00028609816,0.0003330127,0.00005622711,0.00074207224,0.00007364944,0.00063132966,0.010152354,0.08669535,0.00081388926,0.001963244,0.89729136],"study_design_scores_gemma":[0.011221059,0.008955132,0.029799769,0.0015719641,0.0006054398,0.0022949774,0.00044181183,0.03231257,0.8551987,0.013503794,0.042601362,0.0014934662],"about_ca_topic_score_codex":0.0000070844217,"about_ca_topic_score_gemma":0.0000130202,"teacher_disagreement_score":0.8957979,"about_ca_system_score_codex":0.00007601252,"about_ca_system_score_gemma":0.000015442354,"threshold_uncertainty_score":0.43520132},"labels":[],"label_agreement":null},{"id":"W1985100752","doi":"10.1016/j.ijmachtools.2006.09.019","title":"An expert troubleshooting system for the milling process","year":2007,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":28,"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 British Columbia","funders":"","keywords":"Troubleshooting; Expert system; Inference engine; Cutting tool; Robustness (evolution); Vibration; Engineering; Process (computing); Tool wear; Computer science; Machining; Mechanical engineering; Artificial intelligence; Reliability engineering; Acoustics","score_opus":0.01035453332720781,"score_gpt":0.2895572288539422,"score_spread":0.2792026955267344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985100752","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":[0.044455364,0.002353468,0.9516923,0.00023052153,0.0009449476,0.000093872324,0.000017905946,0.000044476696,0.00016717927],"genre_scores_gemma":[0.9904033,0.00024570225,0.00850248,0.00011406302,0.00069234625,0.0000025892039,0.000011805504,0.000019868172,0.0000078396715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993579,0.000004281448,0.00027507922,0.000068344474,0.0001834886,0.00011093961],"domain_scores_gemma":[0.9994347,0.00014304566,0.00012981941,0.00004990157,0.0001915274,0.000051014224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031627013,0.00010108963,0.000112327754,0.00006255827,0.00007780886,0.00010921995,0.00022780545,0.000041561096,0.000005168386],"category_scores_gemma":[0.00003441731,0.0000638542,0.00004612489,0.000027310549,0.000011083056,0.00035713986,0.000008835712,0.00015642104,1.2618409e-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":[0.00017700956,0.000015203621,0.00012009934,0.000077490025,0.00012012029,0.0000123595855,0.00087389414,0.7898787,0.0012364929,0.00046845264,0.000054842207,0.20696533],"study_design_scores_gemma":[0.0034143091,0.00038430566,0.0022200195,0.0005030932,0.00011952551,0.001081079,0.0048353774,0.8944353,0.05909984,0.0013639887,0.0319579,0.0005852803],"about_ca_topic_score_codex":0.000003062014,"about_ca_topic_score_gemma":0.000007915512,"teacher_disagreement_score":0.94594795,"about_ca_system_score_codex":0.000036027603,"about_ca_system_score_gemma":0.000009140934,"threshold_uncertainty_score":0.26038986},"labels":[],"label_agreement":null},{"id":"W1986984388","doi":"10.1016/j.ijmachtools.2007.10.010","title":"Comparison of numerically and analytically predicted contact temperatures in shallow and deep dry grinding with infrared measurements","year":2007,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"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":"Grinding; Work (physics); Mechanics; Thermal; Materials science; Process (computing); Contact area; Mechanical engineering; Engineering; Computer science; Composite material; Physics; Thermodynamics","score_opus":0.012528157489327072,"score_gpt":0.28296016098016297,"score_spread":0.2704320034908359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986984388","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":[0.919599,0.0018829043,0.07791864,0.00007630967,0.00010562832,0.00007851544,0.000015755688,0.000013666849,0.0003095775],"genre_scores_gemma":[0.9892557,0.00038102714,0.010249927,0.00004441032,0.00003932232,4.6801492e-7,0.000012328185,0.000011004782,0.0000057749858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919474,0.000009510079,0.00035738735,0.00008391886,0.00025882592,0.00009559576],"domain_scores_gemma":[0.99953485,0.00007890364,0.0001510432,0.000033050652,0.00013252241,0.000069617476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017380474,0.000116825875,0.00023407258,0.00015783896,0.000020037947,0.000056354456,0.00008287575,0.000049535687,0.000009372994],"category_scores_gemma":[0.00006376054,0.000085990025,0.000017528379,0.000052931016,0.000024535777,0.00025964613,0.000022720897,0.00024825853,2.2277744e-8],"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":[0.0007570787,0.00007921506,0.89101416,0.00011111378,0.00033379107,0.00006050565,0.0009721544,0.06950314,0.003194209,0.00017209582,0.000013783656,0.03378874],"study_design_scores_gemma":[0.0020673582,0.00029077806,0.9648596,0.00026741257,0.000045967536,0.00010832468,0.00017422556,0.029309217,0.0022446674,0.00026071697,0.00020946306,0.0001622549],"about_ca_topic_score_codex":0.0000060151115,"about_ca_topic_score_gemma":0.00008699612,"teacher_disagreement_score":0.073845446,"about_ca_system_score_codex":0.00002679947,"about_ca_system_score_gemma":0.0000107820215,"threshold_uncertainty_score":0.35065714},"labels":[],"label_agreement":null},{"id":"W1987218643","doi":"10.1016/j.ijmachtools.2005.09.019","title":"Machining stability in high speed drilling—Part 2: Time domain simulation of a bending–torsional model and experimental validations","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":33,"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":"Drilling; Torsion (gastropod); Engineering; Time domain; Mechanical engineering; Machining; Drill; Deep hole drilling; Structural engineering; Bending; Computer science","score_opus":0.012427633723288475,"score_gpt":0.2671008044306514,"score_spread":0.2546731707073629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987218643","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":[0.9355037,0.0004695418,0.06330433,0.00021227887,0.0001438127,0.00006827757,0.00008904577,0.000016250839,0.00019273625],"genre_scores_gemma":[0.97664464,0.0000901513,0.023011347,0.000040677685,0.00013168131,7.969e-7,0.00005258446,0.000014433898,0.000013662467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991155,0.000017109138,0.00042841362,0.000104994215,0.00024275476,0.00009120417],"domain_scores_gemma":[0.9995375,0.00010225569,0.00017242246,0.000048933005,0.00008539556,0.000053450658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019237424,0.0001265882,0.0001923737,0.0001528507,0.000032841104,0.000044142325,0.0001001635,0.000056170713,0.00010748102],"category_scores_gemma":[0.000041876,0.00011275384,0.000039372666,0.000039610662,0.000027114187,0.00053306017,0.00003775541,0.00019028792,4.138392e-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":[0.00009068681,0.00004792318,0.0004739501,0.000012629359,0.0000337423,0.0000022024126,0.00056763954,0.9904775,0.0031091992,0.00027173012,0.000012241526,0.0049005724],"study_design_scores_gemma":[0.0010798237,0.00004965013,0.0017661408,0.000072946736,0.000012541265,0.000026472542,0.000059177168,0.9880682,0.00635894,0.0020373387,0.00034284432,0.00012591992],"about_ca_topic_score_codex":0.0000045284237,"about_ca_topic_score_gemma":0.000005386329,"teacher_disagreement_score":0.04114094,"about_ca_system_score_codex":0.00006983075,"about_ca_system_score_gemma":0.000015350302,"threshold_uncertainty_score":0.45979685},"labels":[],"label_agreement":null},{"id":"W1987410178","doi":"10.1016/j.ijmachtools.2011.03.003","title":"A level set methodology for predicting the surface evolution of inclined masked micro-channels resulting from abrasive jet micro-machining at oblique incidence","year":2011,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Machining; Abrasive; Jet (fluid); Surface (topology); Mechanical engineering; Materials science; Oblique case; Engineering drawing; Optics; Engineering; Geometry; Physics; Mathematics; Aerospace engineering","score_opus":0.08523654589347363,"score_gpt":0.3179993578475415,"score_spread":0.2327628119540679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987410178","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":[0.9562786,0.000285615,0.041135397,0.0009168119,0.000581952,0.00019059019,0.00044291603,0.000008680787,0.00015943205],"genre_scores_gemma":[0.9496169,0.000058504218,0.049546335,0.00047398577,0.00016139867,0.0000029634996,0.0000365996,0.0000167693,0.000086534536],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982409,0.0002943178,0.00066306925,0.0002493545,0.00036101887,0.00019136605],"domain_scores_gemma":[0.99730283,0.0013249323,0.0010431644,0.00012886937,0.00011586389,0.000084363564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015381578,0.00019892487,0.00030209843,0.000068199,0.00018934025,0.000044035518,0.0005829093,0.0001102452,0.00026727564],"category_scores_gemma":[0.0011617679,0.00013148371,0.00015259461,0.000054769356,0.00014729601,0.0002705925,0.00050467596,0.00038970108,0.0000027061988],"study_design_candidate":"observational","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":[0.0013928143,0.000072451694,0.33539426,0.000016611433,0.00025021782,0.000028136548,0.010725925,0.0047412785,0.6398109,0.00015563889,0.0007298768,0.00668187],"study_design_scores_gemma":[0.0027913905,0.0004044069,0.67217946,0.0003090931,0.00012104485,0.0004040736,0.0017674661,0.0047076037,0.30847305,0.0073669697,0.0011285128,0.0003469208],"about_ca_topic_score_codex":0.0015196494,"about_ca_topic_score_gemma":0.00031123258,"teacher_disagreement_score":0.3367852,"about_ca_system_score_codex":0.00014884592,"about_ca_system_score_gemma":0.000030702384,"threshold_uncertainty_score":0.536175},"labels":[],"label_agreement":null},{"id":"W1990696399","doi":"10.1016/j.ijmachtools.2007.04.007","title":"The influence of cutter orientation and workpiece angle on machinability when high-speed milling Inconel 718 under finishing conditions","year":2007,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Government of the United Kingdom","keywords":"Machinability; Inconel; Materials science; Machining; Residual stress; Surface finish; Orientation (vector space); Ultimate tensile strength; Ball (mathematics); Microstructure; Surface roughness; Composite material; Metallurgy; Geometry; Alloy","score_opus":0.006357946603668801,"score_gpt":0.2539430518732462,"score_spread":0.24758510526957736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990696399","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":[0.9366585,0.00039681015,0.06144311,0.0009421349,0.00032072957,0.00006700843,0.00004005706,0.000015250977,0.00011641328],"genre_scores_gemma":[0.99668515,0.00038249794,0.0025117786,0.00026139093,0.00010440736,6.7371593e-7,0.000021337184,0.000011781553,0.000021003158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991964,0.000016139005,0.00035791402,0.0000922499,0.00023521921,0.000102075464],"domain_scores_gemma":[0.99913204,0.00035979878,0.00020488519,0.00006824849,0.0001848381,0.000050191233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032387106,0.00011176269,0.0001283806,0.00008061992,0.00009700489,0.00009510294,0.000139917,0.00005230005,0.000012893653],"category_scores_gemma":[0.00011950844,0.00007898159,0.000033349108,0.000039190243,0.000056350324,0.00040240394,0.000030115541,0.0002748925,2.8927772e-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":[0.00019828192,0.000028894436,0.0022538786,0.00003163833,0.0001112521,0.000008970868,0.00076755835,0.9646736,0.001508426,0.0026335798,0.00008842094,0.027695503],"study_design_scores_gemma":[0.004712664,0.0006384097,0.8170508,0.00074632774,0.00017473844,0.00035740592,0.0011814723,0.039210036,0.022313671,0.10435309,0.008476782,0.00078455784],"about_ca_topic_score_codex":0.000021331867,"about_ca_topic_score_gemma":0.000029633224,"teacher_disagreement_score":0.92546356,"about_ca_system_score_codex":0.000045133107,"about_ca_system_score_gemma":0.000011630791,"threshold_uncertainty_score":0.32207757},"labels":[],"label_agreement":null},{"id":"W1990910739","doi":"10.1016/j.ijmachtools.2005.07.019","title":"Chip formation during microscale cutting of a medium carbon steel","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Microscale chemistry; Materials science; Chip formation; Chip; Shearing (physics); Composite material; Extrusion; Finite element method; Scanning electron microscope; Carbon steel; Lüders band; Thread (computing); Metallurgy; Mechanical engineering; Machining; Structural engineering; Tool wear; Microstructure; Engineering","score_opus":0.004838784836428894,"score_gpt":0.22197477789251582,"score_spread":0.21713599305608694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990910739","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":[0.9742469,0.0015741454,0.02218874,0.0004656383,0.00041570098,0.000055494784,0.000029077457,0.000029234372,0.0009950288],"genre_scores_gemma":[0.9931655,0.00063643133,0.0057820776,0.000042206473,0.00030760677,7.5913727e-7,0.0000123554755,0.000013615196,0.000039438553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993045,0.000007071957,0.00034785934,0.000053487605,0.00020197454,0.0000851283],"domain_scores_gemma":[0.9995709,0.000028448456,0.0002054851,0.000041795858,0.00011282582,0.00004051809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008917039,0.00009833425,0.00014164246,0.000112112975,0.000023024208,0.00003620729,0.00013068714,0.00004470595,0.00001795295],"category_scores_gemma":[0.000032633063,0.00008186828,0.000054787226,0.000029830655,0.000012709826,0.00045249725,0.00002669932,0.00018295617,2.8022689e-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":[0.00017102585,0.000050284474,0.0009915058,0.00023215024,0.00020027379,0.000015877331,0.0015153394,0.8243231,0.05207759,0.00011291752,0.000082528284,0.120227374],"study_design_scores_gemma":[0.0049379435,0.00019296719,0.048645236,0.00071254605,0.00013863186,0.0014041665,0.00031074436,0.22567315,0.6987097,0.0009254563,0.017732628,0.00061679207],"about_ca_topic_score_codex":0.0000027422916,"about_ca_topic_score_gemma":0.000008176601,"teacher_disagreement_score":0.64663213,"about_ca_system_score_codex":0.00004117105,"about_ca_system_score_gemma":0.000008345099,"threshold_uncertainty_score":0.33384916},"labels":[],"label_agreement":null},{"id":"W1993802703","doi":"10.1016/j.ijmachtools.2005.01.003","title":"A model based method for centering double ball bar test results preventing fictitious ovalization effects","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ball (mathematics); Eccentricity (behavior); Telescoping series; Structural engineering; Engineering; Trajectory; Mathematics; Mathematical analysis; Physics","score_opus":0.01686196086207422,"score_gpt":0.29412920938086273,"score_spread":0.27726724851878853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993802703","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":[0.011003157,0.00037974838,0.98696834,0.0005533004,0.00026488662,0.00018516657,0.00009055226,0.000069516005,0.00048532616],"genre_scores_gemma":[0.75812185,0.00011034014,0.24113393,0.00022805254,0.00026087824,0.000009669359,0.00004262738,0.000018809153,0.00007385376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992727,0.000012142514,0.0003151121,0.00009616964,0.0001826064,0.00012127639],"domain_scores_gemma":[0.9994506,0.00015383173,0.00014764047,0.000056841458,0.00014247761,0.0000485866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035673787,0.00012643251,0.00016171622,0.00012739064,0.00003821931,0.000049239312,0.00013968059,0.00006555229,0.0000072436965],"category_scores_gemma":[0.00012401534,0.000108441156,0.000083908606,0.000019863679,0.0000072168555,0.00029973898,0.000017515837,0.00016176321,2.818626e-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":[0.00061831553,0.0000951449,0.000227485,0.00012062159,0.00019160478,0.000012563676,0.0001358446,0.75888,0.06153935,0.000271251,0.0018919159,0.1760159],"study_design_scores_gemma":[0.0047585517,0.00016310724,0.00069523224,0.00018475269,0.00007191819,0.00006338886,0.0000043520135,0.7814965,0.17850107,0.0012016044,0.032672424,0.00018708258],"about_ca_topic_score_codex":0.0000012095136,"about_ca_topic_score_gemma":0.000008956296,"teacher_disagreement_score":0.7471187,"about_ca_system_score_codex":0.000071786235,"about_ca_system_score_gemma":0.000012129272,"threshold_uncertainty_score":0.4422102},"labels":[],"label_agreement":null},{"id":"W1995354313","doi":"10.1016/j.ijmachtools.2007.02.002","title":"Relationships between straightness and angular kinematic errors in machines","year":2007,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Agenția Națională pentru Cercetare și Dezvoltare","keywords":"Kinematics; Machine tool; Coordinate-measuring machine; Computer science; Stylus; Position (finance); Compensation (psychology); Basis (linear algebra); Mechanism (biology); Algorithm; Angular displacement; Joint (building); Software; Control engineering; Artificial intelligence; Control theory (sociology); Engineering; Computer vision; Mathematics; Mechanical engineering; Geometry; Physics","score_opus":0.022793111550505566,"score_gpt":0.2763262481198412,"score_spread":0.2535331365693356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995354313","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":[0.9194301,0.0013589401,0.07805666,0.00035497072,0.0002115687,0.00006937867,0.000012075417,0.0000319361,0.0004744017],"genre_scores_gemma":[0.99318784,0.00019414628,0.0063739754,0.000036710822,0.000155821,7.791097e-7,0.000010172222,0.000011552127,0.000028998418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992882,0.000020998292,0.0003357163,0.00006569928,0.00018504278,0.00010437079],"domain_scores_gemma":[0.9996254,0.000117999414,0.00009482953,0.000043518554,0.00005491755,0.00006337014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060942286,0.00011040088,0.00018003881,0.0002722252,0.000022258473,0.000025411999,0.000111852765,0.00008339598,0.000018615206],"category_scores_gemma":[0.000085181746,0.00008671913,0.00003161262,0.00004117331,0.00002740376,0.00026065492,0.000019112513,0.00041141635,2.7549555e-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":[0.00020504078,0.00007556562,0.5081581,0.00014638231,0.00047016842,0.00029402887,0.001216382,0.006772496,0.011516796,0.00147612,0.00039751112,0.46927142],"study_design_scores_gemma":[0.0010866184,0.00007092839,0.97642195,0.00012627168,0.00004397034,0.00021914212,0.000083923085,0.00065597927,0.0060737864,0.009627061,0.0053964676,0.00019388826],"about_ca_topic_score_codex":0.000004905303,"about_ca_topic_score_gemma":0.00006741598,"teacher_disagreement_score":0.46907753,"about_ca_system_score_codex":0.00003161471,"about_ca_system_score_gemma":0.0000049697474,"threshold_uncertainty_score":0.35363033},"labels":[],"label_agreement":null},{"id":"W1996885322","doi":"10.1016/s0890-6955(01)00003-7","title":"High speed CNC system design. Part II: modeling and identification of feed drives","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":241,"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 British Columbia","funders":"","keywords":"Control theory (sociology); Inertia; Engineering; Compensation (psychology); Kalman filter; Contouring; Machine tool; System identification; Torque; Control engineering; Feed forward; Dynamical friction; Identification (biology); Computer science; Mechanical engineering; Control (management); Engineering drawing","score_opus":0.01206187526423761,"score_gpt":0.22794411856363558,"score_spread":0.21588224329939798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996885322","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":[0.86600286,0.0010725087,0.13159995,0.0003085493,0.00077039714,0.000099365134,0.000022889513,0.00002605135,0.00009743115],"genre_scores_gemma":[0.99872065,0.00018203801,0.0005913902,0.000017652736,0.00034345346,0.000001090632,0.000009176851,0.000014599909,0.00011993123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989954,0.000054141576,0.00051533524,0.00008616576,0.00026378827,0.00008511837],"domain_scores_gemma":[0.9993814,0.00006394614,0.00024785427,0.000062804065,0.00019560978,0.000048377457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034589745,0.00012138448,0.00023946988,0.00014068895,0.000043374865,0.0001092556,0.0001411484,0.000055041364,0.000013844901],"category_scores_gemma":[0.000043914228,0.000096949276,0.00004961017,0.000028461376,0.000016365915,0.00029845609,0.00002539978,0.00018155675,9.396122e-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":[0.00021292547,0.000028454451,0.0009753777,0.00009525299,0.0005233019,0.00006226019,0.0010432883,0.9319221,0.048016984,0.001021479,0.00023169276,0.015866896],"study_design_scores_gemma":[0.0019913178,0.00014778799,0.009309189,0.00045735357,0.00008323789,0.00088491174,0.00025572057,0.97521937,0.009000822,0.0004685156,0.0019445049,0.00023727803],"about_ca_topic_score_codex":0.000018005705,"about_ca_topic_score_gemma":0.0000026705075,"teacher_disagreement_score":0.1327178,"about_ca_system_score_codex":0.00004591674,"about_ca_system_score_gemma":0.0000083226605,"threshold_uncertainty_score":0.39534768},"labels":[],"label_agreement":null},{"id":"W1998191126","doi":"10.1016/j.ijmachtools.2004.07.003","title":"Effect of coolant strategy on tool performance, chip morphology and surface quality during high-speed machining of A356 aluminum alloy","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":229,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of New Brunswick","funders":"","keywords":"Coolant; Machining; Materials science; Surface roughness; Aluminium; Lubricant; Alloy; Metallurgy; Cutting fluid; Tool wear; Surface finish; Mechanical engineering; Composite material; Engineering","score_opus":0.007057834732705413,"score_gpt":0.25599126464675515,"score_spread":0.24893342991404974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998191126","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":[0.99676245,0.00041209784,0.0021935601,0.00007097647,0.00026782602,0.00008004049,0.00007065942,0.000016909256,0.00012545007],"genre_scores_gemma":[0.9979272,0.0008237054,0.0010935693,0.0000235809,0.00007301541,5.076114e-7,0.00002420774,0.000018284913,0.000015960317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99898326,0.000033898068,0.00048605373,0.000114335984,0.00026146273,0.00012099639],"domain_scores_gemma":[0.9993247,0.00013228746,0.00032291893,0.00007445648,0.000096128155,0.00004950371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031475074,0.00017897246,0.00036295486,0.00010589893,0.000033892517,0.000028623806,0.00015299142,0.00007864953,0.00002491632],"category_scores_gemma":[0.000058524096,0.00013659202,0.000055911,0.000038253016,0.000043330685,0.0002708773,0.000038782364,0.00031361985,2.6880377e-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":[0.00078456785,0.00003075729,0.002797477,0.0002483174,0.00015425129,0.000021010206,0.00017262447,0.9610296,0.022439959,0.0002567304,0.000004195484,0.012060535],"study_design_scores_gemma":[0.013228899,0.0034433776,0.28656268,0.0010117539,0.00017929668,0.0010475334,0.000094981486,0.02869488,0.6639821,0.0008882592,0.00014643779,0.00071978697],"about_ca_topic_score_codex":0.000031114796,"about_ca_topic_score_gemma":0.0000042134893,"teacher_disagreement_score":0.9323347,"about_ca_system_score_codex":0.00003466392,"about_ca_system_score_gemma":0.00001619743,"threshold_uncertainty_score":0.5570061},"labels":[],"label_agreement":null},{"id":"W2003008485","doi":"10.1016/j.ijmachtools.2014.05.004","title":"A novel magnetic actuator design for active damping of machining tools","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuator; Machining; Vibration; Stiffness; Engineering; Mechanical engineering; Torque; Bar (unit); Structural engineering; Flexibility (engineering); Control theory (sociology); Machine tool; Acoustics; Computer science; Physics; Control (management)","score_opus":0.017453938045683317,"score_gpt":0.25577738469515615,"score_spread":0.23832344664947283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003008485","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":[0.02531997,0.0003833614,0.9731127,0.00018501873,0.0004635769,0.00012213433,0.00009914009,0.000022572814,0.00029151532],"genre_scores_gemma":[0.87531054,0.00020255349,0.1240683,0.00011596403,0.00022496816,0.000004583929,0.0000238047,0.000026443282,0.00002285698],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992072,0.000013739481,0.0003577975,0.00009760102,0.00020482972,0.00011885768],"domain_scores_gemma":[0.99899703,0.00043597465,0.00024321614,0.00006246992,0.00020236669,0.00005892493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021935985,0.0001479758,0.0002389367,0.00012534406,0.000035509463,0.00007675304,0.00021438311,0.00006218894,0.000029026854],"category_scores_gemma":[0.00033701575,0.00012210208,0.00007832642,0.00003340889,0.000020554118,0.0004384155,0.000029331231,0.00019160424,2.691304e-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":[0.00032545437,0.000035335208,0.000025351586,0.00008227173,0.00016012618,0.0000021819756,0.00050459016,0.48579586,0.0112270545,0.00075357413,0.00010123553,0.500987],"study_design_scores_gemma":[0.008302231,0.0014870592,0.0068276976,0.00074997026,0.00028186015,0.00056380616,0.0003234881,0.8495505,0.0893303,0.010082264,0.0316072,0.000893637],"about_ca_topic_score_codex":0.000002529349,"about_ca_topic_score_gemma":0.0000019853858,"teacher_disagreement_score":0.84999055,"about_ca_system_score_codex":0.00003213156,"about_ca_system_score_gemma":0.000020029645,"threshold_uncertainty_score":0.49791783},"labels":[],"label_agreement":null},{"id":"W2007064664","doi":"10.1016/s0890-6955(02)00140-2","title":"Fuzzy control of spindle power in end milling processes","year":2002,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada); University of Ottawa","funders":"","keywords":"End milling; Machining; Engineering; Mechanical engineering; End mill; Fuzzy logic; Carbide; Power (physics); Fuzzy control system; Control engineering; Engineering drawing; Control theory (sociology); Materials science; Control (management); Computer science; Metallurgy","score_opus":0.007449884719437825,"score_gpt":0.21877749804725288,"score_spread":0.21132761332781505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007064664","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":[0.70866823,0.03469415,0.24432741,0.0016257686,0.0015817836,0.0002499597,0.00022573653,0.00006506511,0.008561869],"genre_scores_gemma":[0.99625546,0.0016094781,0.0019249608,0.00008902347,0.00007713048,9.1019956e-7,0.0000046101363,0.000012242925,0.000026203825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993468,0.0000066812186,0.0003142969,0.00006131969,0.00018794983,0.00008293892],"domain_scores_gemma":[0.9995788,0.00006396484,0.00014200578,0.000036547826,0.00014384827,0.00003483554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007722353,0.000097573175,0.00017212187,0.00013253804,0.000011992686,0.00003168419,0.00013608689,0.000044679255,0.00012536313],"category_scores_gemma":[0.00008385321,0.000078431636,0.00003398844,0.000051729272,0.000016198344,0.00030437947,0.000011767565,0.00017584032,6.370931e-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":[0.00008606205,0.00007075308,0.0014712258,0.00011969497,0.000118593714,0.00004429738,0.0007012652,0.9285312,0.0010268193,0.00023808719,0.00013329102,0.06745869],"study_design_scores_gemma":[0.039582424,0.0029359711,0.08593121,0.0043448475,0.0004398217,0.003221751,0.0013958231,0.6007846,0.09318064,0.035292163,0.12938909,0.003501693],"about_ca_topic_score_codex":0.0000045760653,"about_ca_topic_score_gemma":0.000010760502,"teacher_disagreement_score":0.32774666,"about_ca_system_score_codex":0.000019690644,"about_ca_system_score_gemma":0.000007775634,"threshold_uncertainty_score":0.31983492},"labels":[],"label_agreement":null},{"id":"W2014116679","doi":"10.1016/j.ijmachtools.2003.09.002","title":"The selection of tools and machines on web-based manufacturing environments","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Design for manufacturability; Computer-aided process planning; Selection (genetic algorithm); Scheduling (production processes); Machine tool; Manufacturing engineering; Process (computing); Computer-integrated manufacturing; Computer science; Engineering; Production planning; Systems engineering; Production (economics); Engineering drawing; Machining; Artificial intelligence; Operations management","score_opus":0.006887550174015299,"score_gpt":0.2116394472076893,"score_spread":0.204751897033674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014116679","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":[0.9833229,0.001183578,0.012085224,0.000615687,0.00086030125,0.00015963013,0.00007184711,0.00002987461,0.0016709607],"genre_scores_gemma":[0.9977597,0.0011218786,0.00080514216,0.00010237274,0.00008049096,0.0000023865587,0.000008933535,0.000017977356,0.000101104255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991287,0.000032227264,0.00032356306,0.000097910015,0.00030263432,0.00011497896],"domain_scores_gemma":[0.99949926,0.00016010323,0.00018200994,0.000067709676,0.00003397564,0.000056935165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021544169,0.00016029633,0.00016205791,0.00010927522,0.00007925207,0.00013800984,0.00014837578,0.00006279746,0.00006955786],"category_scores_gemma":[0.000055774613,0.00010537243,0.000056707846,0.000020188629,0.000033899156,0.00021987036,0.000016081383,0.0002451889,7.4166746e-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":[0.00038632174,0.00010850239,0.0035251854,0.00013570263,0.00048354128,0.000023236284,0.00015985711,0.58240414,0.0040963246,0.0010909467,0.0006430138,0.40694323],"study_design_scores_gemma":[0.004634229,0.000502801,0.12870778,0.0002955073,0.0001311524,0.00036233335,0.00006110253,0.056514096,0.6128576,0.002331497,0.192961,0.0006409025],"about_ca_topic_score_codex":0.0000028385662,"about_ca_topic_score_gemma":0.0000072047783,"teacher_disagreement_score":0.60876125,"about_ca_system_score_codex":0.0000365349,"about_ca_system_score_gemma":0.000014303278,"threshold_uncertainty_score":0.4296963},"labels":[],"label_agreement":null},{"id":"W2014943134","doi":"10.1016/j.ijmachtools.2005.05.013","title":"A survey of recent grinding wheel topography models","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Grinding; Grinding wheel; Mechanical engineering; Machining; 3d model; Engineering; Engineering drawing; Geology; Computer science; Artificial intelligence","score_opus":0.02242168210858301,"score_gpt":0.26549304473770585,"score_spread":0.24307136262912285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014943134","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":[0.43371826,0.0072732945,0.55292314,0.001032787,0.0012260063,0.00012762359,0.00024401669,0.00005696752,0.0033979379],"genre_scores_gemma":[0.98712796,0.0049119103,0.0076951385,0.00008289021,0.00012388681,5.8449797e-7,0.00002793515,0.000013147477,0.000016562439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993167,0.000012923153,0.0003141689,0.00006223375,0.00021395621,0.00007999656],"domain_scores_gemma":[0.999453,0.000056757926,0.00015713663,0.00004724906,0.00023770718,0.000048163918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017685359,0.00009904036,0.00015768995,0.00014078715,0.00001789464,0.00003974213,0.0001619612,0.000043198917,0.00006955149],"category_scores_gemma":[0.00003984793,0.00007992505,0.000046247773,0.000057519475,0.000013858986,0.0004488087,0.000025140338,0.00017895507,3.0621354e-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":[0.00005796204,0.00002274107,0.000941955,0.000015846746,0.00010437577,0.0000034662585,0.00015505688,0.7834211,0.00015093197,0.00021119167,0.0001646058,0.21475075],"study_design_scores_gemma":[0.0050794054,0.00037686646,0.17369321,0.0004182003,0.00013705122,0.00048538193,0.00013863314,0.73285604,0.019075014,0.008767684,0.058019057,0.0009534648],"about_ca_topic_score_codex":0.00001342973,"about_ca_topic_score_gemma":0.00005525323,"teacher_disagreement_score":0.5534097,"about_ca_system_score_codex":0.000024432464,"about_ca_system_score_gemma":0.000011570669,"threshold_uncertainty_score":0.32592487},"labels":[],"label_agreement":null},{"id":"W2015352856","doi":"10.1016/j.ijmachtools.2010.12.008","title":"Analytical stability lobes including nonlinear process damping effect on machining chatter","year":2011,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Nonlinear system; Discretization; Enhanced Data Rates for GSM Evolution; Vibration; Indentation; Stability (learning theory); Process (computing); Face (sociological concept); Engineering; Work (physics); Mechanical engineering; Structural engineering; Computer science; Physics; Acoustics; Mathematics; Mathematical analysis","score_opus":0.029529736382226314,"score_gpt":0.2904928879070828,"score_spread":0.26096315152485644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015352856","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":[0.9516403,0.00032497058,0.044271417,0.00020639486,0.0007028741,0.000098816345,0.000037918733,0.00006691341,0.0026503594],"genre_scores_gemma":[0.9964503,0.00010923331,0.002902819,0.00021087547,0.00027373465,0.0000019702813,0.000017246357,0.00002662338,0.0000072059565],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990011,0.000025768511,0.00036232427,0.00014457021,0.00031237677,0.00015389944],"domain_scores_gemma":[0.999426,0.00012249792,0.00015009339,0.000081228754,0.00012988634,0.00009030126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028828532,0.0001975529,0.00025052673,0.00011003776,0.00005794046,0.00008228396,0.00024109251,0.00007228469,0.00014793093],"category_scores_gemma":[0.00013621016,0.00014667687,0.000077639546,0.000051136976,0.000029867766,0.00045988243,0.000047301914,0.00045928414,0.0000021886783],"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":[0.0022178078,0.00036499285,0.046860546,0.0007226191,0.0012514418,0.00037116907,0.0069415756,0.3073227,0.0009803339,0.00082753267,0.00015811952,0.63198113],"study_design_scores_gemma":[0.008520573,0.0031563367,0.062095094,0.0019461843,0.00046208323,0.0013504295,0.0006631265,0.76850355,0.13717972,0.006198871,0.0077827508,0.0021412673],"about_ca_topic_score_codex":0.0000045066795,"about_ca_topic_score_gemma":0.00000375025,"teacher_disagreement_score":0.6298399,"about_ca_system_score_codex":0.000049922663,"about_ca_system_score_gemma":0.000011164393,"threshold_uncertainty_score":0.5981309},"labels":[],"label_agreement":null},{"id":"W2016095313","doi":"10.1016/j.ijmachtools.2014.11.012","title":"Modeling the mechanics and dynamics of arbitrary edge drills","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":28,"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 British Columbia","funders":"Irkutsk State University","keywords":"Drilling; Drill; Engineering; Parametric statistics; Enhanced Data Rates for GSM Evolution; Stability (learning theory); Structural engineering; Vibration; Oblique case; Point (geometry); Mechanical engineering; Geometry; Mathematics; Computer science; Physics; Acoustics","score_opus":0.005479999861164144,"score_gpt":0.21792413299417582,"score_spread":0.21244413313301166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016095313","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":[0.06994788,0.0010350189,0.9275801,0.0006414377,0.0003717206,0.000033429693,0.0000253838,0.000012274058,0.0003527263],"genre_scores_gemma":[0.99265844,0.0013065627,0.0057494976,0.00013026598,0.0001216097,3.9048692e-7,0.000011173989,0.000011580227,0.000010456055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995268,0.000009421555,0.00021440478,0.000049644914,0.0001429534,0.00005679703],"domain_scores_gemma":[0.99968535,0.000060080674,0.000086769665,0.0000458995,0.0000913352,0.00003058082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013818457,0.00008169922,0.00011949481,0.00005001682,0.000026051674,0.000040860046,0.00013496315,0.00003786647,0.000007698441],"category_scores_gemma":[0.00004361428,0.00005321565,0.000032013293,0.00001909049,0.000009752456,0.00018777618,0.000032081854,0.00018882022,9.868224e-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":[0.00002463395,0.000006804896,0.000035875735,0.00002756899,0.00006272261,0.0000016809867,0.0001442517,0.9214915,0.00008358973,0.009487832,0.000020936044,0.068612605],"study_design_scores_gemma":[0.00026201294,0.000032744123,0.00011332945,0.000042279637,0.000018697572,0.00008241028,0.0000374251,0.9801696,0.00024829013,0.01819455,0.00073998916,0.00005868119],"about_ca_topic_score_codex":0.00000383587,"about_ca_topic_score_gemma":0.000010983685,"teacher_disagreement_score":0.9227106,"about_ca_system_score_codex":0.000012770588,"about_ca_system_score_gemma":0.000006115186,"threshold_uncertainty_score":0.21700712},"labels":[],"label_agreement":null},{"id":"W2016555895","doi":"10.1016/s0890-6955(00)00025-0","title":"Integrated tool path and feed rate optimization for the finishing machining of 3D plane surfaces","year":2000,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Machining; Tool path; Cutter location; Ball (mathematics); Engineering; Mechanical engineering; Plane (geometry); Path (computing); Engineering drawing; Computer science; Mathematics; Geometry","score_opus":0.007271815533675499,"score_gpt":0.22587274076340527,"score_spread":0.21860092522972976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016555895","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":[0.4061295,0.0045741503,0.58680975,0.0008954602,0.0006270325,0.00024566258,0.00033528727,0.000049530703,0.00033362853],"genre_scores_gemma":[0.96643865,0.0035764968,0.029588591,0.00012373072,0.00010811381,0.0000027409362,0.0000765451,0.000020690342,0.00006445558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932355,0.000017636628,0.0003406538,0.00008365527,0.00014349991,0.0000910228],"domain_scores_gemma":[0.9993308,0.0002922421,0.00016607625,0.000050485243,0.00013011055,0.000030254858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025112033,0.00013068267,0.00017864553,0.000058328267,0.00006495284,0.00012306972,0.0001568157,0.000053045304,0.00012820512],"category_scores_gemma":[0.00009383078,0.00008571109,0.000037131824,0.000038524566,0.000027116543,0.00038688508,0.00001655033,0.00019816715,1.4254607e-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":[0.00016337588,0.000008099942,0.000117871234,0.00003175374,0.00009810562,0.0000026227033,0.00024668413,0.83040774,0.00016774717,0.000050732553,0.00007160321,0.16863367],"study_design_scores_gemma":[0.0011178355,0.00010319448,0.0024999022,0.0001310199,0.000059238995,0.00009006087,0.00008974977,0.98843354,0.00084930914,0.000341188,0.0061430233,0.00014195485],"about_ca_topic_score_codex":0.000012079269,"about_ca_topic_score_gemma":0.000005817015,"teacher_disagreement_score":0.5603091,"about_ca_system_score_codex":0.000014669801,"about_ca_system_score_gemma":0.000013977455,"threshold_uncertainty_score":0.3495197},"labels":[],"label_agreement":null},{"id":"W2016706338","doi":"10.1016/j.ijmachtools.2006.03.006","title":"Modeling the effects of microstructure in metal cutting","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Microstructure; Materials science; Chip formation; Homogeneous; Finite element method; Composite material; Chip; Metallurgy; Machining; Structural engineering; Thermodynamics; Computer science; Engineering; Tool wear; Physics","score_opus":0.0029561534897072036,"score_gpt":0.21302235673662331,"score_spread":0.2100662032469161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016706338","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":[0.88752866,0.004389037,0.10702048,0.00019206795,0.00057414,0.00006113751,0.000013601238,0.000011655486,0.0002092194],"genre_scores_gemma":[0.99680215,0.0002830982,0.0027168768,0.00004184432,0.0001250609,6.219351e-7,0.000007894846,0.000010331589,0.000012129645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994644,0.000009674209,0.00026333393,0.000048259728,0.00014540371,0.00006896473],"domain_scores_gemma":[0.99971807,0.00007183444,0.00009166708,0.000036397385,0.00006835487,0.000013660257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008218217,0.00008560874,0.00012806815,0.000076699114,0.000017739154,0.000033270822,0.00014203845,0.000037009828,0.000005662213],"category_scores_gemma":[0.000045735967,0.00005484214,0.00004366251,0.000035013458,0.000012458948,0.00018919857,0.000021792011,0.0002170316,7.7088366e-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":[0.000016838832,0.000008133489,0.0003438815,0.00004844904,0.000035258872,0.000012692086,0.00013821456,0.9802626,0.0038965242,0.00021727348,0.000017143184,0.01500303],"study_design_scores_gemma":[0.0023532736,0.00009952323,0.014023217,0.00042518717,0.000080756225,0.00036211635,0.00012667643,0.9290762,0.038931284,0.012570521,0.0016515113,0.00029973412],"about_ca_topic_score_codex":0.000030109177,"about_ca_topic_score_gemma":0.000021799682,"teacher_disagreement_score":0.109273486,"about_ca_system_score_codex":0.000017340824,"about_ca_system_score_gemma":0.0000068676222,"threshold_uncertainty_score":0.22363977},"labels":[],"label_agreement":null},{"id":"W2016824127","doi":"10.1016/j.ijmachtools.2008.04.010","title":"Minimum quantity lubrication drilling of aluminium–silicon alloys in water using diamond-like carbon coated drills","year":2008,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada); University of Windsor; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Materials science; Lubrication; Drilling; Aluminium; Metallurgy; Drill; Tribology; Diamond-like carbon; Cutting fluid; Machining; Composite material; Carbon fibers; Thin film; Nanotechnology","score_opus":0.015448136566033444,"score_gpt":0.24554959586096242,"score_spread":0.23010145929492898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016824127","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":[0.9828015,0.00063423044,0.015745346,0.000083205705,0.0005179046,0.000066784065,0.000013637484,0.000017243901,0.00012012325],"genre_scores_gemma":[0.9964863,0.0012293912,0.0020595505,0.000045396395,0.00010707482,8.2950856e-7,0.00003481957,0.000019873178,0.000016787108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990059,0.000019764668,0.00048270402,0.00010340893,0.0002498753,0.00013833801],"domain_scores_gemma":[0.9994846,0.000049875413,0.00018480133,0.00006700283,0.00016636077,0.000047380163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014893412,0.00014037294,0.00024359138,0.00020644887,0.000030120513,0.000023920791,0.00015262088,0.00007966246,0.000014331619],"category_scores_gemma":[0.000035051824,0.00010900785,0.00005463048,0.000057043824,0.00003325015,0.0003306654,0.000034796776,0.0002228893,2.6580852e-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":[0.00015059895,0.000064888896,0.013394727,0.000064058404,0.00012269542,0.000058930033,0.0012453742,0.91947365,0.06143759,0.000027599133,0.00003013503,0.003929754],"study_design_scores_gemma":[0.0029675607,0.00018110705,0.036776952,0.0003419693,0.00008117314,0.0006929456,0.00015846356,0.59280443,0.36309537,0.0004604207,0.0018977651,0.00054184627],"about_ca_topic_score_codex":0.000075347525,"about_ca_topic_score_gemma":0.000033541302,"teacher_disagreement_score":0.32666925,"about_ca_system_score_codex":0.00005574766,"about_ca_system_score_gemma":0.000018121911,"threshold_uncertainty_score":0.44452113},"labels":[],"label_agreement":null},{"id":"W2017174465","doi":"10.1016/j.ijmachtools.2004.01.006","title":"Application of region growing method to evaluate the surface condition of grinding wheels","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"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":"Pulverizer; Grinding; Grinding wheel; Process (computing); Mechanical engineering; Measure (data warehouse); Software; Machine tool; Position (finance); Digital microscope; Surface grinding; Image processing; Automotive engineering; Engineering; Computer science; Engineering drawing; Microscope; Computer vision; Optics; Image (mathematics)","score_opus":0.010612311178898985,"score_gpt":0.2971810667013933,"score_spread":0.28656875552249433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017174465","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":[0.19397905,0.00028850327,0.80458915,0.00077480753,0.00016367553,0.000084788524,0.00001563788,0.0000093993,0.000094970164],"genre_scores_gemma":[0.9693442,0.00018002169,0.0302767,0.00009188544,0.00007561366,0.0000014467014,0.000012744217,0.000011347906,0.0000060526068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992734,0.000019761143,0.0003276783,0.00006720967,0.00024861895,0.00006329321],"domain_scores_gemma":[0.9994186,0.00008429952,0.00019440531,0.00006218777,0.00020823526,0.00003223465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029261308,0.00008795183,0.00015110816,0.000079204634,0.000027193004,0.000022618879,0.00017215929,0.00003736591,0.000006037266],"category_scores_gemma":[0.00004701013,0.00006163576,0.000051512616,0.00006378635,0.000014257574,0.00033045613,0.000025987021,0.00014319993,3.1204064e-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":[0.00004796094,0.000010851792,0.0001528859,0.000031458556,0.00006528553,0.0000018921316,0.00033302302,0.9458602,0.013980023,0.0016889559,0.000016320495,0.037811123],"study_design_scores_gemma":[0.005309991,0.0005906474,0.03555346,0.0010502621,0.00033580916,0.00090392045,0.0006818521,0.1148613,0.77584225,0.05649859,0.007716445,0.00065545447],"about_ca_topic_score_codex":0.000016839267,"about_ca_topic_score_gemma":0.0000047507106,"teacher_disagreement_score":0.8309989,"about_ca_system_score_codex":0.00004160927,"about_ca_system_score_gemma":0.000013338511,"threshold_uncertainty_score":0.2513433},"labels":[],"label_agreement":null},{"id":"W2018464046","doi":"10.1016/s0890-6955(01)00088-8","title":"Chatter suppression in five-axis machining of flexible parts","year":2002,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Engineering; Mechanical engineering; Engineering drawing","score_opus":0.011730898563486199,"score_gpt":0.24062200093323746,"score_spread":0.22889110236975127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018464046","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":[0.8607655,0.013055385,0.11074541,0.002303286,0.0031256878,0.00022332776,0.0001560622,0.00009229241,0.00953302],"genre_scores_gemma":[0.99625593,0.0010854014,0.0022274766,0.000101580445,0.000108715176,0.0000012262934,0.000010877713,0.000014447858,0.000194366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992787,0.000012094863,0.00033477662,0.00007545718,0.00020050572,0.00009846998],"domain_scores_gemma":[0.9996415,0.000054319626,0.00013872107,0.00005456793,0.00006856353,0.00004232855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000886376,0.00010864111,0.00017393204,0.00015871931,0.00001607719,0.000034323104,0.00015241573,0.00005220171,0.00037200915],"category_scores_gemma":[0.000030066667,0.0000868145,0.000045285127,0.00004198408,0.00001556994,0.00037586963,0.000032161453,0.00023447584,0.0000012712936],"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":[0.000111058434,0.00008680591,0.004025648,0.00008429765,0.00012078443,0.0000805477,0.0021189018,0.6208484,0.0008355233,0.00025589918,0.0015525864,0.3698795],"study_design_scores_gemma":[0.01117263,0.00084058463,0.14893635,0.0023398204,0.00014114077,0.0014896881,0.0007744513,0.6781956,0.054138225,0.0072289724,0.093178034,0.001564525],"about_ca_topic_score_codex":0.000008189088,"about_ca_topic_score_gemma":0.000004642301,"teacher_disagreement_score":0.36831498,"about_ca_system_score_codex":0.000020886113,"about_ca_system_score_gemma":0.0000032101045,"threshold_uncertainty_score":0.40732393},"labels":[],"label_agreement":null},{"id":"W2021080193","doi":"10.1016/j.ijmachtools.2004.07.008","title":"Design and control of a dual-stage feed drive","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Workspace; Tracking error; Machine tool; Control theory (sociology); Process (computing); Actuator; Servomechanism; Linear motor; Feature (linguistics); Tracking (education); Computer science; Servo; Control engineering; Robot; Engineering; Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.006717652049559621,"score_gpt":0.22300906510744734,"score_spread":0.2162914130578877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021080193","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":[0.4500415,0.0019073006,0.5460577,0.001014429,0.00050387566,0.00016812512,0.00006986906,0.000021213373,0.00021599418],"genre_scores_gemma":[0.9979924,0.000082130515,0.0015836543,0.00010658077,0.00015538675,0.0000013424285,0.0000030116985,0.000012533507,0.000062976906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993037,0.00003969321,0.00029671608,0.00006305398,0.00021583977,0.00008097275],"domain_scores_gemma":[0.99949044,0.00011507633,0.0001675011,0.000042827112,0.00013146356,0.000052694842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021682681,0.000112830254,0.00023185978,0.00010872349,0.000017779836,0.00007010701,0.00009465183,0.000048756847,0.000025265683],"category_scores_gemma":[0.000050509792,0.000085429114,0.00004815543,0.000017841823,0.000026877418,0.00019923365,0.000013860181,0.00021830924,9.0924516e-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":[0.00066694105,0.000069883405,0.0013114893,0.00010118447,0.0015791116,0.0004303904,0.003103382,0.78731966,0.17901279,0.0021044281,0.00027246613,0.024028251],"study_design_scores_gemma":[0.10015069,0.0044879783,0.26214826,0.0029439374,0.00080737,0.009682793,0.0011127712,0.23167846,0.28481427,0.015804442,0.08355964,0.0028093685],"about_ca_topic_score_codex":0.000012461542,"about_ca_topic_score_gemma":0.0000031166653,"teacher_disagreement_score":0.55564123,"about_ca_system_score_codex":0.000037292535,"about_ca_system_score_gemma":0.00001566765,"threshold_uncertainty_score":0.3483698},"labels":[],"label_agreement":null},{"id":"W2022392197","doi":"10.1016/j.ijmachtools.2015.03.002","title":"Chatter identification in end milling process based on EEMD and nonlinear dimensionless indicators","year":2015,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; National Natural Science Foundation of China","keywords":"Hilbert–Huang transform; Vibration; Nonlinear system; Frequency domain; Control theory (sociology); Dimensionless quantity; Harmonics; Machining; Spectral density; Bispectrum; Filter (signal processing); Time domain; Engineering; Acoustics; Mathematics; Computer science; Mathematical analysis; Artificial intelligence; Mechanical engineering; Mechanics; Physics","score_opus":0.009338313873965253,"score_gpt":0.25888724375472644,"score_spread":0.2495489298807612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022392197","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":[0.9414498,0.0009418622,0.05540276,0.0011517288,0.00062991906,0.0001021842,0.00004448884,0.000028143884,0.0002490868],"genre_scores_gemma":[0.9972455,0.00018904466,0.0021315413,0.00025560634,0.00011437104,0.0000018712816,0.000036518664,0.000015117734,0.000010444154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992842,0.000011677526,0.00026927792,0.00009615589,0.00026067358,0.00007798206],"domain_scores_gemma":[0.9996085,0.0000447728,0.00013063932,0.00004557071,0.00009756945,0.000072945404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018753906,0.000108161024,0.00012742692,0.00026151983,0.00001903762,0.000074814285,0.00010618183,0.00005246825,0.000011277241],"category_scores_gemma":[0.000060858514,0.00008677669,0.000019103743,0.000059090828,0.00001762582,0.0002904616,0.000014108222,0.00022285336,6.1596387e-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":[0.00014011218,0.000047758145,0.0036238118,0.000048891485,0.00003120388,0.00003191123,0.0005865045,0.9250513,0.00023253831,0.000045271107,0.000058416557,0.07010231],"study_design_scores_gemma":[0.0040188846,0.00025041235,0.030501924,0.0004451551,0.000042343312,0.00016160084,0.00030878902,0.9414252,0.014213022,0.0021900162,0.0059739933,0.00046864522],"about_ca_topic_score_codex":0.000002817378,"about_ca_topic_score_gemma":0.0000057296893,"teacher_disagreement_score":0.06963366,"about_ca_system_score_codex":0.000035905796,"about_ca_system_score_gemma":0.000019445633,"threshold_uncertainty_score":0.35386506},"labels":[],"label_agreement":null},{"id":"W2022727973","doi":"10.1016/j.ijmachtools.2010.04.014","title":"Corrigendum to “Dry and minimum quantity lubrication drilling of cast magnesium alloy (AM60)” [Int. J. Mach. Tools Manuf. 50(5) (2010) 444–457]","year":2010,"lang":"en","type":"erratum","venue":"International Journal of Machine Tools and Manufacture","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":6,"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 Windsor; General Motors (Canada)","funders":"","keywords":"Lubrication; INT; Magnesium alloy; Mach number; Metallurgy; Magnesium; Drilling; Materials science; Mechanical engineering; Engineering; Physics; Mechanics; Computer science","score_opus":0.016979680324830007,"score_gpt":0.23261721148858217,"score_spread":0.21563753116375217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022727973","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":[0.69794655,0.045277618,0.012148453,0.0054238727,0.22532038,0.0019434209,0.0058220383,0.000299652,0.0058180327],"genre_scores_gemma":[0.9387097,0.011108483,0.010524198,0.0008613115,0.0073925117,0.000021768508,0.0010253227,0.00035991642,0.0299968],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971496,0.000055460245,0.001167113,0.00040403253,0.00085179607,0.00037200702],"domain_scores_gemma":[0.9979648,0.00009549872,0.0007370434,0.0003425132,0.0005882437,0.00027191307],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003974254,0.0006573842,0.0009119185,0.0005509887,0.00008859125,0.00041782245,0.00088455994,0.0007156102,0.00033862426],"category_scores_gemma":[0.00020328196,0.0005466847,0.00023642133,0.000076731194,0.0001400785,0.0006111048,0.000286863,0.0021583885,0.000010361896],"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":[0.0009110283,0.00016057864,0.0018780536,0.0017032047,0.0018837169,0.00038274986,0.0022410639,0.0017444233,0.16228656,0.00023285531,0.71483,0.111745805],"study_design_scores_gemma":[0.0014877359,0.0004162298,0.04073647,0.0007090025,0.00046118203,0.0018456941,0.00018372592,0.0020058267,0.026529927,0.0004871859,0.92379373,0.0013433007],"about_ca_topic_score_codex":0.00020403611,"about_ca_topic_score_gemma":0.00046432155,"teacher_disagreement_score":0.24076317,"about_ca_system_score_codex":0.0001472246,"about_ca_system_score_gemma":0.00011991041,"threshold_uncertainty_score":0.99969846},"labels":[],"label_agreement":null},{"id":"W2026510543","doi":"10.1016/j.ijmachtools.2013.01.006","title":"Stability of lateral, torsional and axial vibrations in drilling","year":2013,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Machine Tool Technologies Research Foundation","keywords":"Drilling; Deflection (physics); Torsional vibration; Vibration; Instability; Torsion (gastropod); Structural engineering; Engineering; Mechanics; Mechanical engineering; Physics; Acoustics; Classical mechanics","score_opus":0.007500005513805349,"score_gpt":0.22661229168943745,"score_spread":0.2191122861756321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026510543","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":[0.97788703,0.0005151789,0.020619513,0.0003738367,0.00025586953,0.00005937602,0.000026898055,0.000009059486,0.0002532143],"genre_scores_gemma":[0.99453443,0.00033155334,0.004972841,0.000064147825,0.00007287802,0.0000011992739,0.00001145062,0.000006591141,0.000004915627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99946266,0.000008576519,0.00026896174,0.000054690223,0.00014798371,0.000057129637],"domain_scores_gemma":[0.99969435,0.000058403246,0.000081427046,0.000030182986,0.000098635144,0.00003698965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077744495,0.00007193227,0.00011913004,0.00006613331,0.000016496735,0.00005719195,0.000085037886,0.00003727675,0.000110501336],"category_scores_gemma":[0.00002682988,0.00005685686,0.00002314804,0.000022533763,0.000024166857,0.00050335657,0.00002631138,0.00014355904,2.6281214e-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":[0.00034798114,0.00028196006,0.06265988,0.00034704493,0.0003736883,0.000034636785,0.003453064,0.7456305,0.028489225,0.008851035,0.00040547943,0.1491255],"study_design_scores_gemma":[0.0073263487,0.0005761221,0.48287365,0.0007704975,0.000088408466,0.0005513305,0.00047353847,0.36510766,0.07141491,0.05949822,0.010246248,0.0010730794],"about_ca_topic_score_codex":0.000035225436,"about_ca_topic_score_gemma":0.000026227292,"teacher_disagreement_score":0.42021376,"about_ca_system_score_codex":0.000016741533,"about_ca_system_score_gemma":0.0000073988103,"threshold_uncertainty_score":0.23185556},"labels":[],"label_agreement":null},{"id":"W2028277511","doi":"10.1016/j.ijmachtools.2014.09.013","title":"Diamond machining of silicon: A review of advances in molecular dynamics simulation","year":2014,"lang":"en","type":"review","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":469,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Technische Universität Darmstadt; Queen's University; Heriot-Watt University","keywords":"Machining; Brittleness; Diamond; Materials science; Silicon; Molecular dynamics; Diamond turning; Fracture toughness; Mechanical engineering; Chip formation; Engineering physics; Metallurgy; Tool wear; Engineering; Computational chemistry; Chemistry","score_opus":0.011171844086942568,"score_gpt":0.33072261770559724,"score_spread":0.3195507736186547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028277511","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008096637,0.9675362,0.03143209,0.00003527075,0.00023444914,0.00019506249,0.00020120441,0.000017672803,0.00026707674],"genre_scores_gemma":[0.0069683366,0.9893398,0.0034658925,0.00004177871,0.000056826837,0.0000036320318,0.00007985619,0.000039194114,0.000004650412],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981193,0.000084048756,0.0012088451,0.000117072566,0.00036356493,0.0001071457],"domain_scores_gemma":[0.9982897,0.00034425146,0.001020792,0.0001439793,0.00015693184,0.000044331464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042935027,0.0002747925,0.0013778994,0.00029743326,0.0000062940376,0.000019065234,0.0004294086,0.00014732381,0.000019200712],"category_scores_gemma":[0.00025520803,0.00021863608,0.00029180903,0.000079506506,0.000032411066,0.0003419059,0.000069037254,0.00057723024,2.1713457e-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":[0.0000073883784,0.000014056023,0.000014718136,0.028165886,0.00012427065,0.000019713734,0.000025293026,0.030737016,0.000005187607,0.00021345569,0.00001705642,0.94065595],"study_design_scores_gemma":[0.00047106805,0.00012051712,0.000039838145,0.20292464,0.00040125038,0.0001950017,0.000006284716,0.014883546,0.00020710699,0.0024494193,0.77778673,0.00051461475],"about_ca_topic_score_codex":0.000004947517,"about_ca_topic_score_gemma":0.000008499056,"teacher_disagreement_score":0.9401413,"about_ca_system_score_codex":0.0001426889,"about_ca_system_score_gemma":0.000041747022,"threshold_uncertainty_score":0.89157206},"labels":[],"label_agreement":null},{"id":"W2028489299","doi":"10.1016/s0890-6955(99)00075-9","title":"High speed servo control of multi-axis machine tools","year":2000,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Machine tool; Servo; Servo control; Servo drive; Servomotor; Machining; Envelope (radar); Servomechanism; Actuator; Control engineering; Numerical control; Computer science; Acceleration; Engineering; Control theory (sociology); Control (management); Mechanical engineering; Artificial intelligence","score_opus":0.007894933245386444,"score_gpt":0.22855051395828152,"score_spread":0.22065558071289507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028489299","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":[0.97568476,0.0031563472,0.016528714,0.0014119087,0.0012971576,0.00024979995,0.00063510914,0.00005887428,0.0009773402],"genre_scores_gemma":[0.9976331,0.00018418123,0.00076416,0.00025381785,0.00046147435,0.0000014277605,0.00003336787,0.000029147071,0.0006393396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998601,0.0000745531,0.0006360558,0.00011784784,0.00040884284,0.00016166709],"domain_scores_gemma":[0.99919,0.00016104657,0.00023498548,0.0001132853,0.00020810329,0.00009259714],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002809652,0.0002224007,0.0004585094,0.00014637902,0.000030190828,0.0001395956,0.00033366337,0.000094306975,0.0010090416],"category_scores_gemma":[0.00007099704,0.00017046418,0.00015655372,0.00004074595,0.000031656473,0.00041745728,0.000018606794,0.0004403623,0.000013657911],"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":[0.0012600224,0.00023043697,0.006881464,0.00014859333,0.0026331057,0.00040807875,0.0012069618,0.5011098,0.04230197,0.0005461962,0.0016201568,0.44165325],"study_design_scores_gemma":[0.037220955,0.001184566,0.32514295,0.0010025516,0.0004128103,0.00271093,0.0001239112,0.3546065,0.025146317,0.0008733637,0.24998946,0.001585674],"about_ca_topic_score_codex":0.000076746364,"about_ca_topic_score_gemma":0.000022346634,"teacher_disagreement_score":0.44006756,"about_ca_system_score_codex":0.000055681594,"about_ca_system_score_gemma":0.0000147717055,"threshold_uncertainty_score":0.99990416},"labels":[],"label_agreement":null},{"id":"W2030355037","doi":"10.1016/s0890-6955(01)00045-1","title":"Mechanics and dynamics of general milling cutters.","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":400,"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 British Columbia","funders":"","keywords":"End mill; Machining; Helix angle; Ball (mathematics); Engineering; Mechanical engineering; Vibration; Parametric statistics; Surface finish; Kinematics; Geometry; Aerospace; Enhanced Data Rates for GSM Evolution; Surface roughness; Structural engineering; Materials science; Mathematics; Physics; Classical mechanics; Acoustics; Composite material","score_opus":0.005833559049368189,"score_gpt":0.22874563303873396,"score_spread":0.22291207398936577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030355037","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":[0.28706372,0.0018317283,0.70954865,0.0006035139,0.00051921053,0.00003555848,0.000045517863,0.00001683718,0.00033523893],"genre_scores_gemma":[0.9815092,0.0050870595,0.013095393,0.000107115346,0.00012984112,3.0361807e-7,0.000020471747,0.000012734585,0.000037900918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952257,0.000004864316,0.0002177121,0.000052795316,0.00013854698,0.00006353832],"domain_scores_gemma":[0.99966854,0.000026211092,0.00014253725,0.000032606313,0.000091073496,0.000039033137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006529621,0.00008445076,0.00012753568,0.00007922469,0.000017029302,0.000034382574,0.000095395764,0.000040260635,0.000020871385],"category_scores_gemma":[0.000022994527,0.000069220194,0.000030518564,0.000024278514,0.0000082656825,0.00020895511,0.000024211078,0.00014121768,1.0793399e-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":[0.00010943158,0.000023016019,0.0010037501,0.000058102138,0.00019751675,0.000052199797,0.00027590245,0.8048182,0.00125653,0.004091143,0.00012690984,0.18798728],"study_design_scores_gemma":[0.0010756089,0.00012878288,0.0017692329,0.0001088053,0.000049829465,0.00083891046,0.00008348664,0.97688615,0.0021408468,0.010749283,0.005965825,0.00020324823],"about_ca_topic_score_codex":0.0000052828013,"about_ca_topic_score_gemma":0.0000108379845,"teacher_disagreement_score":0.6964533,"about_ca_system_score_codex":0.000020992633,"about_ca_system_score_gemma":0.000005360264,"threshold_uncertainty_score":0.28227174},"labels":[],"label_agreement":null},{"id":"W2031837549","doi":"10.1016/j.ijmachtools.2009.08.006","title":"Predicting the effect of vibration on ultraprecision machining surface finish as described by surface finish lobes","year":2009,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Machining; Vibration; Surface finish; Surface roughness; Mechanical engineering; Surface (topology); Materials science; Engineering; Engineering drawing; Composite material; Geometry; Physics; Acoustics; Mathematics","score_opus":0.004085350767663865,"score_gpt":0.23623222584875497,"score_spread":0.2321468750810911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031837549","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":[0.9627729,0.0012929752,0.03373297,0.00081208406,0.0005381027,0.00012877227,0.0000804448,0.00004332094,0.0005984284],"genre_scores_gemma":[0.9973772,0.00076570146,0.0014137123,0.00020759055,0.00012128316,5.193748e-7,0.000052853335,0.00001961896,0.00004152288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880224,0.00005860886,0.00044137216,0.00012857176,0.00043733077,0.00013188264],"domain_scores_gemma":[0.9990042,0.0004395268,0.0002983333,0.00009520025,0.000104709514,0.000058065347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037068094,0.00020291377,0.00025183326,0.000042061496,0.00008119091,0.0001337107,0.0002863574,0.0000869656,0.00003674303],"category_scores_gemma":[0.00024061717,0.00013299612,0.000088479275,0.000063255764,0.000023072462,0.00044656795,0.000021575075,0.0004259261,0.0000010495777],"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":[0.00039660573,0.00002331614,0.0009911599,0.000023232806,0.000087877044,0.0000076819515,0.00042433277,0.9077024,0.011246141,0.000040686584,0.00051669555,0.078539915],"study_design_scores_gemma":[0.0059971833,0.0050727986,0.01764687,0.0012163724,0.0002389941,0.0004896402,0.00028033293,0.36118937,0.5984692,0.002425494,0.006122369,0.00085139234],"about_ca_topic_score_codex":0.000013285601,"about_ca_topic_score_gemma":0.0000031155298,"teacher_disagreement_score":0.58722305,"about_ca_system_score_codex":0.000032775886,"about_ca_system_score_gemma":0.000010678239,"threshold_uncertainty_score":0.5423424},"labels":[],"label_agreement":null},{"id":"W2032917343","doi":"10.1016/j.ijmachtools.2014.08.004","title":"A generalized on-line estimation and control of five-axis contouring errors of CNC machine tools","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":160,"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":"National Natural Science Foundation of China","keywords":"Contouring; Screw theory; Control theory (sociology); Jacobian matrix and determinant; Modular design; Kinematics; Machine tool; Servo; Position (finance); Numerical control; Line (geometry); Function (biology); Engineering; Control engineering; Computer science; Robot; Mathematics; Control (management); Engineering drawing; Machining; Artificial intelligence; Geometry; Mechanical engineering","score_opus":0.009757848676033916,"score_gpt":0.24794357961306093,"score_spread":0.23818573093702702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032917343","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":[0.89453524,0.00096143223,0.10278543,0.00067826564,0.00044563794,0.00014922433,0.00015719043,0.00001815062,0.0002694107],"genre_scores_gemma":[0.9980929,0.00006894166,0.001381265,0.00012868675,0.00021486734,0.00000248912,0.000020706248,0.000019425524,0.00007074311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987393,0.0000931276,0.00061200256,0.000103647224,0.0003436391,0.00010831094],"domain_scores_gemma":[0.99887884,0.00032118487,0.00042970403,0.00008858654,0.00021490852,0.000066762586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042794415,0.00018081901,0.000465517,0.00019065663,0.000024718036,0.00006620537,0.0001705692,0.00007225673,0.000039347153],"category_scores_gemma":[0.00028978838,0.00013817208,0.000098710625,0.000027036178,0.000037801714,0.00025556638,0.000022902845,0.00027139706,7.1793215e-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":[0.0010746053,0.00008596254,0.003614735,0.00022559862,0.0010962408,0.00003047035,0.0010601595,0.77744746,0.057566646,0.001932925,0.00018656302,0.15567864],"study_design_scores_gemma":[0.009184401,0.0006167995,0.041371435,0.00051369466,0.00010926641,0.00022074288,0.000031460346,0.9266308,0.0171316,0.0009279462,0.0029809186,0.00028093095],"about_ca_topic_score_codex":0.000048134818,"about_ca_topic_score_gemma":0.000014373947,"teacher_disagreement_score":0.15539771,"about_ca_system_score_codex":0.000032685257,"about_ca_system_score_gemma":0.000009874744,"threshold_uncertainty_score":0.5634494},"labels":[],"label_agreement":null},{"id":"W2036618332","doi":"10.1016/j.ijmachtools.2005.05.006","title":"Modelling and analysis of contact stress for automated polishing","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polishing; Contact mechanics; Stress (linguistics); Constant (computer programming); Contact force; Point (geometry); Contact area; Mechanical engineering; Engineering drawing; Contact analysis; Computer science; Engineering; Mechanics; Materials science; Structural engineering; Mathematics; Geometry; Finite element method; Physics; Classical mechanics; Composite material","score_opus":0.013063257782982736,"score_gpt":0.28013547462478466,"score_spread":0.26707221684180193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036618332","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":[0.64649445,0.0011276199,0.35111317,0.00039565828,0.000111794885,0.00006588497,0.0005045408,0.0000950793,0.000091772716],"genre_scores_gemma":[0.9540159,0.00040543027,0.045387533,0.000052975527,0.00008675962,0.0000010197881,0.00003074905,0.000012766144,0.0000068489767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993598,0.000008614027,0.00031370512,0.00006632518,0.00016355429,0.00008804418],"domain_scores_gemma":[0.9994756,0.00012952235,0.00015866257,0.000052267977,0.00013447803,0.000049492326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014087405,0.00010205994,0.00025410418,0.0002502191,0.00001776554,0.00007781906,0.00015464242,0.000053506497,0.000009615759],"category_scores_gemma":[0.000037815607,0.00008553994,0.00008745099,0.00004460189,0.000012817945,0.00048275557,0.000025549274,0.00014840049,3.8184435e-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":[0.00003958568,0.000012060025,0.00065835024,0.00001957598,0.0008459118,0.0000028754853,0.0002599951,0.9828388,0.0016394897,0.0003211562,0.00018834588,0.013173825],"study_design_scores_gemma":[0.000367486,0.000030541887,0.0031760188,0.000058914786,0.00019812203,0.000019280787,0.000026479947,0.98165745,0.011703861,0.00058585615,0.002079205,0.00009676488],"about_ca_topic_score_codex":0.00003040565,"about_ca_topic_score_gemma":0.000022379782,"teacher_disagreement_score":0.30752146,"about_ca_system_score_codex":0.000039270268,"about_ca_system_score_gemma":0.0000062310223,"threshold_uncertainty_score":0.34882176},"labels":[],"label_agreement":null},{"id":"W2038181287","doi":"10.1016/j.ijmachtools.2004.09.021","title":"Experimental determination of the friction coefficient on the workpiece-fixture contact surface in workholding applications","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fixture; Mechanical engineering; Friction coefficient; Materials science; Surface (topology); Engineering drawing; Frictional coefficient; Engineering; Composite material; Mathematics; Geometry","score_opus":0.008739800753694663,"score_gpt":0.23311005851210717,"score_spread":0.22437025775841252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038181287","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":[0.9436557,0.0006788704,0.053325213,0.0011404724,0.00050715567,0.00022962644,0.000019213165,0.000014279624,0.0004294296],"genre_scores_gemma":[0.9991918,0.00012140873,0.00045727257,0.00011446906,0.000081095335,0.0000053029785,0.000004577865,0.0000099550825,0.000014079182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993046,0.0000142021345,0.0002672764,0.000071196664,0.00026895775,0.000073761476],"domain_scores_gemma":[0.9995989,0.00006924745,0.0001658444,0.00008021419,0.00006314797,0.000022623244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014275489,0.000102742415,0.00010690335,0.00006941984,0.00005147381,0.000057519286,0.0002334781,0.000052635995,0.000027820115],"category_scores_gemma":[0.000019489778,0.000059519916,0.000057138015,0.000072020644,0.000018245726,0.0001313979,0.000027481125,0.00025898672,5.090314e-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":[0.00005232902,0.0000879269,0.0003531444,0.000015933647,0.00003270614,0.0000027305953,0.00072199653,0.97809,0.003918097,0.002245835,0.000041559862,0.014437774],"study_design_scores_gemma":[0.0036404412,0.0002438842,0.07511416,0.00097253633,0.00006011946,0.00018961512,0.0008097812,0.041670073,0.86537874,0.0043940563,0.0070489636,0.00047763315],"about_ca_topic_score_codex":0.000010662014,"about_ca_topic_score_gemma":0.0000098612145,"teacher_disagreement_score":0.9364199,"about_ca_system_score_codex":0.00010722931,"about_ca_system_score_gemma":0.00001318996,"threshold_uncertainty_score":0.24271517},"labels":[],"label_agreement":null},{"id":"W2039579632","doi":"10.1016/j.ijmachtools.2006.08.003","title":"Modeling and identification of tool holder–spindle interface dynamics","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":144,"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 British Columbia","funders":"","keywords":"Stiffness; Vibration; Timoshenko beam theory; Interface (matter); Coupling (piping); Engineering; Frequency response; Mechanical engineering; Machine tool; Structural engineering; Control theory (sociology); Beam (structure); Acoustics; Computer science; Physics; Contact angle","score_opus":0.004911568589785277,"score_gpt":0.23185725333832108,"score_spread":0.2269456847485358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039579632","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":[0.43456176,0.0010604005,0.56385696,0.0001336188,0.00021278605,0.000029474628,0.000036370366,0.000011966875,0.000096633674],"genre_scores_gemma":[0.9958468,0.00060702936,0.0033539394,0.000015735015,0.00009127899,6.3590505e-7,0.000026866415,0.000012656063,0.000045036046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993379,0.0000057679044,0.00037260196,0.000067833986,0.00015527355,0.000060582526],"domain_scores_gemma":[0.99963236,0.000021818247,0.00014114282,0.000044432836,0.00013983261,0.000020423346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009994766,0.00009056546,0.00012729522,0.00009278748,0.000020639649,0.00006841811,0.00010618152,0.000043553893,0.000007996685],"category_scores_gemma":[0.000024166642,0.000078002086,0.00003056287,0.000025889714,0.000015741702,0.00035773803,0.000025951822,0.00013885686,1.9333139e-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":[0.000027342065,0.000012042101,0.00022965205,0.00003714359,0.000037745212,0.000002157127,0.00008055017,0.97118074,0.0016636894,0.00067219354,0.000021393374,0.02603535],"study_design_scores_gemma":[0.00041633905,0.000029475192,0.0018224708,0.00005808537,0.000022071647,0.000090535475,0.000051425934,0.98822725,0.005540442,0.003410755,0.00023459067,0.00009656387],"about_ca_topic_score_codex":0.0000147773435,"about_ca_topic_score_gemma":0.000019283232,"teacher_disagreement_score":0.5612851,"about_ca_system_score_codex":0.000023408196,"about_ca_system_score_gemma":0.000006755604,"threshold_uncertainty_score":0.3180833},"labels":[],"label_agreement":null},{"id":"W2042213814","doi":"10.1016/j.ijmachtools.2011.12.011","title":"Determination of pressure-dependent friction coefficient from draw-bend test and its application to cup drawing","year":2012,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Mechanical stress and fatigue analysis","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Mechanics; Contact area; Range (aeronautics); Engineering drawing; Composite material; Engineering; Physics","score_opus":0.008865849139271425,"score_gpt":0.24397304314631563,"score_spread":0.2351071940070442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042213814","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":[0.73233277,0.0029055472,0.26342824,0.00033817656,0.00043744897,0.00013490966,0.0002159624,0.000017375754,0.00018955745],"genre_scores_gemma":[0.99866575,0.00029481587,0.00071408116,0.000045835444,0.00022870158,0.0000030100578,0.00001916568,0.000008680994,0.000019934492],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923617,0.000013314081,0.0002949222,0.00007701304,0.00029327295,0.000085301945],"domain_scores_gemma":[0.9994898,0.00010197879,0.00014283099,0.000053750675,0.00011052866,0.00010112482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001405783,0.00009447253,0.00015738618,0.00010094748,0.000026912096,0.000045015007,0.0001146957,0.000052919168,0.000055371027],"category_scores_gemma":[0.000065110136,0.00007582838,0.000044307795,0.000034750323,0.000005544204,0.00024574168,0.00003857632,0.00012221912,0.0000015380647],"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":[0.00012119916,0.0002958695,0.009057062,0.00009996296,0.0005925273,0.000008916548,0.0015591786,0.035448603,0.24325003,0.0011748988,0.00017513428,0.7082166],"study_design_scores_gemma":[0.0019823806,0.0002981186,0.2077751,0.00030257666,0.00065608043,0.00010209938,0.0002247915,0.36818233,0.39784244,0.0013210358,0.020691592,0.00062145776],"about_ca_topic_score_codex":0.000035296165,"about_ca_topic_score_gemma":0.000010900241,"teacher_disagreement_score":0.70759517,"about_ca_system_score_codex":0.000022080085,"about_ca_system_score_gemma":0.0000031318896,"threshold_uncertainty_score":0.30921915},"labels":[],"label_agreement":null},{"id":"W2043624414","doi":"10.1016/s0890-6955(00)00024-9","title":"Optimization of hole-making operations: a tabu-search approach","year":2000,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":77,"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":"Tabu search; Mathematical optimization; Guided Local Search; Computer science; Engineering; Engineering drawing; Operations research; Industrial engineering; Mathematics","score_opus":0.013254667375312862,"score_gpt":0.2526689565358197,"score_spread":0.23941428916050686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043624414","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":[0.13752475,0.0025221715,0.83621764,0.0009975838,0.0008011187,0.00029056708,0.00016878996,0.00008484271,0.021392537],"genre_scores_gemma":[0.9634551,0.0011449904,0.03489254,0.00011536164,0.00013867233,0.0000014269167,0.000046648904,0.000016535698,0.0001887487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992036,0.000024070227,0.00034428388,0.00007026405,0.00027494584,0.00008281506],"domain_scores_gemma":[0.9996471,0.000027495464,0.00005431805,0.00006316707,0.00016586744,0.000042062915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016930663,0.00010046701,0.0001512418,0.00014546335,0.000031107444,0.00011124832,0.00018267379,0.000057796096,0.0007666238],"category_scores_gemma":[0.000018825245,0.000082641905,0.00005561452,0.00006185652,0.000023785884,0.00033639313,0.000014994576,0.00019745089,0.0000017774573],"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":[0.000032402615,0.000030077988,0.000083031046,0.00002003283,0.00008376934,0.0000038993207,0.00035401166,0.95943606,0.00012278942,0.00019364161,0.00015820331,0.03948206],"study_design_scores_gemma":[0.00082490937,0.000055969376,0.0008601281,0.00010182737,0.000022869744,0.00016405593,0.00005395604,0.9908316,0.0009864658,0.000073378564,0.00588665,0.00013819907],"about_ca_topic_score_codex":0.0000064742703,"about_ca_topic_score_gemma":0.0000021423803,"teacher_disagreement_score":0.8259303,"about_ca_system_score_codex":0.000022872713,"about_ca_system_score_gemma":0.000017274766,"threshold_uncertainty_score":0.83939934},"labels":[],"label_agreement":null},{"id":"W2043700847","doi":"10.1016/j.ijmachtools.2004.09.013","title":"Influence of alumina particles on the mechanics of machining metal matrix composites","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":148,"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 New Brunswick","funders":"","keywords":"Materials science; Composite material; Machining; Tungsten carbide; Aluminium; Metal matrix composite; Particle (ecology); Shear (geology); Finite element method; Shear stress; Composite number; Metallurgy; Structural engineering","score_opus":0.009553889563276312,"score_gpt":0.22681889003352831,"score_spread":0.217265000470252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043700847","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":[0.9964523,0.0009378966,0.0015970092,0.0006888529,0.00013280632,0.00005829283,0.000032519147,0.000011636781,0.00008874115],"genre_scores_gemma":[0.9983983,0.00015619474,0.0012827256,0.00008870657,0.00005111648,9.4425343e-7,0.0000024788546,0.000012936519,0.0000066054185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990776,0.000023837016,0.0003955126,0.00006011849,0.00035485695,0.00008808362],"domain_scores_gemma":[0.9993812,0.00014060123,0.00021524348,0.00008969648,0.00013692274,0.000036355344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019783636,0.0001228716,0.00020738071,0.00008715241,0.000025146473,0.00003299858,0.00034460286,0.000036351328,0.000020053867],"category_scores_gemma":[0.000058055568,0.0000756612,0.00008676123,0.000035210884,0.000045321518,0.00020249121,0.0000589191,0.00023302036,0.000001420995],"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":[0.00015050669,0.000057510177,0.00044705096,0.000036509522,0.00043166053,0.000024237135,0.00072365574,0.7582616,0.22774063,0.008591163,0.000032458815,0.0035029817],"study_design_scores_gemma":[0.0011389396,0.0004484777,0.013825677,0.0003860555,0.00010868046,0.00034325742,0.00015352464,0.0136027215,0.9608574,0.008397286,0.0005324242,0.00020553928],"about_ca_topic_score_codex":0.000021214815,"about_ca_topic_score_gemma":0.000005253504,"teacher_disagreement_score":0.7446589,"about_ca_system_score_codex":0.000030145398,"about_ca_system_score_gemma":0.000015375828,"threshold_uncertainty_score":0.30853742},"labels":[],"label_agreement":null},{"id":"W2047460476","doi":"10.1016/j.ijmachtools.2009.09.005","title":"Machining chatter in flank milling","year":2009,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":37,"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":"Flank; Machining; Tool path; Mechanical engineering; Machine tool; End milling; Milling cutter; Path (computing); Engineering; Cutting tool; Computer science","score_opus":0.005790979792898873,"score_gpt":0.234743284119252,"score_spread":0.2289523043263531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047460476","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":[0.6970777,0.0069754897,0.28414753,0.0048063677,0.0019293166,0.00014028737,0.00004297496,0.00010458767,0.004775726],"genre_scores_gemma":[0.99299866,0.00096580177,0.005197761,0.00056889554,0.00021876585,3.959513e-7,0.000013274665,0.000010596903,0.000025877822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993786,0.00000780448,0.00027354943,0.00007022566,0.00016716728,0.000102638805],"domain_scores_gemma":[0.9997466,0.000033138655,0.00008532591,0.000039684048,0.00005221302,0.000043024225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109900146,0.000108863554,0.00014440715,0.00015628929,0.000018096865,0.00007209919,0.00014858336,0.00004648894,0.000040055445],"category_scores_gemma":[0.000028133585,0.00008891129,0.00003790334,0.000036737114,0.000007127938,0.00035950966,0.000012692819,0.00028761916,9.60829e-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":[0.000077934514,0.000025524148,0.0010908789,0.000016131256,0.000047923422,0.000108493456,0.0005429219,0.61502403,0.0011665268,0.0002989385,0.00020328285,0.38139743],"study_design_scores_gemma":[0.011385681,0.001044973,0.191608,0.0015602456,0.00012698649,0.0029544607,0.00044958774,0.6333762,0.020579532,0.03818703,0.09672326,0.0020040732],"about_ca_topic_score_codex":0.0000024781361,"about_ca_topic_score_gemma":0.000005550563,"teacher_disagreement_score":0.37939337,"about_ca_system_score_codex":0.000030270048,"about_ca_system_score_gemma":0.00000650196,"threshold_uncertainty_score":0.36256975},"labels":[],"label_agreement":null},{"id":"W2047586378","doi":"10.1016/s0890-6955(03)00085-3","title":"Implementation and validation of 3-dimensional dynamic interpolation using an FPGA based controller","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpolation (computer graphics); Field-programmable gate array; Controller (irrigation); Computer science; Process (computing); Trajectory; Control engineering; Field (mathematics); Control theory (sociology); Engineering; Control (management); Computer hardware; Mathematics; Artificial intelligence; Programming language","score_opus":0.010133572975018053,"score_gpt":0.2809820773797956,"score_spread":0.27084850440477753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047586378","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":[0.9234311,0.00029210135,0.075655065,0.000089227164,0.00034186468,0.00009683116,0.000036148747,0.000009070847,0.0000486048],"genre_scores_gemma":[0.9975708,0.000008382658,0.0022603266,0.00005487809,0.000055687382,9.3900076e-7,0.00003077521,0.000012342844,0.0000058827977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991571,0.000094576135,0.00037119145,0.000073700285,0.00023440513,0.00006905696],"domain_scores_gemma":[0.9993996,0.00007589859,0.00023531883,0.000037099562,0.0002093807,0.00004272319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003111849,0.00010556271,0.0001756518,0.00016837158,0.000026423128,0.00007384332,0.000058698974,0.00004337618,0.00007397053],"category_scores_gemma":[0.00003943108,0.00008814788,0.00004116545,0.000023863955,0.000016056327,0.00041680993,0.000007068854,0.0001324543,2.2328688e-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":[0.000452234,0.00011016007,0.016710404,0.00009142678,0.0007418984,0.000024497174,0.0011858616,0.51460224,0.41158304,0.0009579795,0.00009424449,0.053446],"study_design_scores_gemma":[0.0067476807,0.00035053387,0.041712314,0.00017765119,0.00011098462,0.00035155396,0.0002960707,0.8995808,0.048085038,0.001093066,0.0011946695,0.00029966907],"about_ca_topic_score_codex":0.000015795682,"about_ca_topic_score_gemma":0.000012075471,"teacher_disagreement_score":0.3849785,"about_ca_system_score_codex":0.000048862606,"about_ca_system_score_gemma":0.000018340459,"threshold_uncertainty_score":0.35945663},"labels":[],"label_agreement":null},{"id":"W2050950112","doi":"10.1016/s0890-6955(02)00276-6","title":"Mechanics of boring processes—Part I","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Engineering; Mechanical engineering; Mechanics; Physics","score_opus":0.008198708812425374,"score_gpt":0.23186936953220655,"score_spread":0.22367066071978117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050950112","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":[0.06476074,0.007181496,0.9205206,0.0002722526,0.0021986233,0.00011124927,0.00007917389,0.00005809106,0.004817759],"genre_scores_gemma":[0.99016285,0.0021458005,0.0074665225,0.000053981654,0.000102953374,8.079873e-7,0.0000069897173,0.000015389172,0.00004473542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993898,0.00000742873,0.00027354286,0.00005648628,0.00019853699,0.00007419697],"domain_scores_gemma":[0.99945,0.000043194,0.00019979465,0.000042713094,0.00022224501,0.000042036037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112423106,0.0000935052,0.00014138779,0.000078776575,0.000017409166,0.000033196236,0.00012585834,0.000040995412,0.00005973992],"category_scores_gemma":[0.00017752849,0.000075911965,0.000034929555,0.00004680113,0.000007804523,0.00036147112,0.000013058355,0.00015881522,3.882463e-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":[0.000098996534,0.000075163975,0.00038995963,0.00036479963,0.0003357011,0.00004068856,0.00053630694,0.9121189,0.0019229273,0.011097276,0.00050692103,0.07251232],"study_design_scores_gemma":[0.0069772764,0.0007680493,0.0017486911,0.0014137072,0.00031757625,0.0024123131,0.00064110686,0.05931749,0.28101254,0.070694245,0.5732347,0.0014623458],"about_ca_topic_score_codex":9.242923e-7,"about_ca_topic_score_gemma":0.00000270001,"teacher_disagreement_score":0.9254021,"about_ca_system_score_codex":0.000018227725,"about_ca_system_score_gemma":0.000025347019,"threshold_uncertainty_score":0.30956003},"labels":[],"label_agreement":null},{"id":"W2056203657","doi":"10.1016/j.ijmachtools.2006.08.027","title":"Accurate tracking controller design for high-speed drives","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":55,"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":"Control theory (sociology); Vibration; Engineering; Ball screw; Torque; Nonlinear system; Feed forward; Sliding mode control; Bandwidth (computing); Machine tool; Control engineering; Computer science; Acoustics; Physics; Structural engineering; Mechanical engineering","score_opus":0.012242817879698472,"score_gpt":0.24306297041417577,"score_spread":0.2308201525344773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056203657","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":[0.20978533,0.0018517387,0.78428066,0.0014338274,0.0017271219,0.00034991463,0.00010376813,0.00006238757,0.0004052467],"genre_scores_gemma":[0.996366,0.000028579298,0.0021731087,0.00010397354,0.0010398204,0.0000035596904,0.000015724554,0.000023019573,0.00024617877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991578,0.000042469677,0.00037987687,0.00008204757,0.00021057382,0.00012725368],"domain_scores_gemma":[0.99923235,0.00028352928,0.00018997883,0.000039381033,0.00021766778,0.00003706758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002601759,0.0001469296,0.00025630702,0.00011611134,0.00003969252,0.00024619617,0.00017463214,0.000060515635,0.000028711564],"category_scores_gemma":[0.00006678768,0.00010986519,0.00009134007,0.00001850715,0.000015111766,0.00033679215,0.000010446554,0.00020246429,0.0000018458118],"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":[0.00068391935,0.000050230505,0.0005424252,0.000041556068,0.00083493383,0.00008487659,0.0003743665,0.88713676,0.054807786,0.003129124,0.007785076,0.044528924],"study_design_scores_gemma":[0.03253636,0.0010261928,0.15363014,0.00064490107,0.00035340575,0.0013439679,0.00016702394,0.5454008,0.06406306,0.024776084,0.17450531,0.0015527522],"about_ca_topic_score_codex":0.000012478357,"about_ca_topic_score_gemma":0.0000055788623,"teacher_disagreement_score":0.78658074,"about_ca_system_score_codex":0.00004521168,"about_ca_system_score_gemma":0.000009697811,"threshold_uncertainty_score":0.44801724},"labels":[],"label_agreement":null},{"id":"W2056766345","doi":"10.1016/j.ijmachtools.2004.06.005","title":"Surface shape prediction in high speed milling","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Waviness; Machining; Surface (topology); Mechanical engineering; Surface roughness; Process (computing); Surface finish; Position (finance); Stability (learning theory); Test bench; Engineering; MATLAB; Computer science; Structural engineering; Materials science; Mathematics; Geometry; Composite material","score_opus":0.007417891612997811,"score_gpt":0.22984542712203615,"score_spread":0.22242753550903835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056766345","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":[0.931817,0.0010542278,0.06528269,0.0005797429,0.00085868407,0.0000495097,0.00004648123,0.000033888078,0.0002777784],"genre_scores_gemma":[0.991477,0.000978646,0.007216612,0.00008632621,0.00017903585,2.2861906e-7,0.00002613161,0.000014180065,0.000021830456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993911,0.0000053481576,0.00026504812,0.00006969314,0.00018386584,0.00008499326],"domain_scores_gemma":[0.99974066,0.000024846393,0.00008397695,0.000034539946,0.00007495082,0.000041024465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009195335,0.000098068405,0.00012464693,0.000091853646,0.000018201274,0.00005686244,0.000116590294,0.000051564184,0.000051470146],"category_scores_gemma":[0.000028021972,0.00008281385,0.00003084415,0.00004299543,0.000010232973,0.00039361484,0.00001681181,0.00024246208,0.0000013298215],"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":[0.00004068616,0.000015504465,0.00063718314,0.000012637924,0.000032654578,0.000029931341,0.00014486414,0.98339915,0.00093879754,0.00017348664,0.000027607812,0.014547477],"study_design_scores_gemma":[0.018797958,0.00082814874,0.14413095,0.0014727679,0.00014297041,0.0018819656,0.0004311053,0.7202599,0.047036905,0.044732735,0.018950693,0.0013339109],"about_ca_topic_score_codex":0.00001631682,"about_ca_topic_score_gemma":0.000013941197,"teacher_disagreement_score":0.26313928,"about_ca_system_score_codex":0.00007000511,"about_ca_system_score_gemma":0.000012794619,"threshold_uncertainty_score":0.33770508},"labels":[],"label_agreement":null},{"id":"W2056873420","doi":"10.1016/s0890-6955(00)00089-4","title":"Motion control for linear motor feed drives in advanced machine tools","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Commutation; Linear motor; Machine tool; Torque; Control engineering; Machine control; Motion control; Computer science; Control (management); Engineering; Mechanical engineering; Artificial intelligence","score_opus":0.007558893631210967,"score_gpt":0.24650800339730553,"score_spread":0.23894910976609457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056873420","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":[0.77535504,0.0021057455,0.21724035,0.0022977744,0.0016409336,0.0005498698,0.0003065323,0.000058669903,0.00044507463],"genre_scores_gemma":[0.9974052,0.00016808914,0.0012814278,0.00021781014,0.0006031707,0.000014050262,0.000042328844,0.000027816055,0.00024013915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989108,0.000049830574,0.0004932277,0.00012212808,0.000254091,0.000169919],"domain_scores_gemma":[0.99924874,0.00023214947,0.00019405641,0.000072614195,0.00018336218,0.00006910244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029107742,0.00018785709,0.00033299084,0.00021765218,0.00003149774,0.00013167823,0.00021367054,0.00008292565,0.000050205075],"category_scores_gemma":[0.00020076796,0.00015075621,0.000121301186,0.00003891821,0.000015639178,0.0005386208,0.00001537397,0.00034440897,0.000002545666],"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":[0.003041559,0.00022635238,0.019479273,0.00012545958,0.00094195694,0.00030653845,0.001067421,0.4468486,0.071309656,0.0008188653,0.00045466362,0.45537966],"study_design_scores_gemma":[0.025581831,0.0010378731,0.269458,0.0005332709,0.00009804974,0.0009564866,0.00013791907,0.5510114,0.003602432,0.0014086304,0.14537834,0.0007957693],"about_ca_topic_score_codex":0.000011435963,"about_ca_topic_score_gemma":0.000036047844,"teacher_disagreement_score":0.45458388,"about_ca_system_score_codex":0.0000939908,"about_ca_system_score_gemma":0.000011608076,"threshold_uncertainty_score":0.614766},"labels":[],"label_agreement":null},{"id":"W2059168238","doi":"10.1016/j.ijmachtools.2006.01.005","title":"High-power diode laser assisted hard turning of AISI D2 tool steel","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Laser; Machining; Materials science; Diode; Machine tool; Mechanical engineering; Optoelectronics; Optics; Engineering; Metallurgy","score_opus":0.005468922516329161,"score_gpt":0.21952079217544948,"score_spread":0.21405186965912032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059168238","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":[0.88810843,0.0010830928,0.10811645,0.00037510516,0.001035708,0.000066291206,0.00012657022,0.00004611266,0.0010422431],"genre_scores_gemma":[0.9867288,0.00017387833,0.01250529,0.0000845854,0.00023303727,0.0000010763328,0.000048865626,0.000022477267,0.00020203032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99906,0.000012007546,0.00042881022,0.000089523215,0.0003011639,0.00010853647],"domain_scores_gemma":[0.99938774,0.000069221765,0.00024287961,0.00006784216,0.00019535315,0.000036959886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010941431,0.00014760475,0.00022644679,0.000120429475,0.000028786446,0.00007698469,0.00018033403,0.000068068926,0.00009942729],"category_scores_gemma":[0.000046779052,0.00011704684,0.00007845588,0.000043669184,0.000020953728,0.00040057112,0.00003228709,0.00025581132,6.6432335e-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":[0.00015365229,0.00006162906,0.0010740454,0.000055094446,0.00020801644,0.00006820283,0.000104694744,0.9535817,0.00945996,0.00081861444,0.0014835228,0.032930873],"study_design_scores_gemma":[0.0131681785,0.00084573246,0.4808337,0.0012937029,0.00045312112,0.0021109243,0.00023151671,0.06906805,0.27447194,0.011036059,0.1444319,0.0020551812],"about_ca_topic_score_codex":0.000012651907,"about_ca_topic_score_gemma":0.000009187339,"teacher_disagreement_score":0.8845136,"about_ca_system_score_codex":0.000035049423,"about_ca_system_score_gemma":0.000013741066,"threshold_uncertainty_score":0.47730315},"labels":[],"label_agreement":null},{"id":"W2059865978","doi":"10.1016/j.ijmachtools.2007.10.021","title":"Investigation of wear behavior and chip formation for cutting tools with nano-multilayered TiAlCrN/NbN PVD coating","year":2007,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Chip formation; Hardened steel; Adiabatic shear band; Scanning electron microscope; Coating; Machining; Tool wear; Metallurgy; Composite material; Cutting tool; Physical vapor deposition; Shear (geology)","score_opus":0.021527485264699248,"score_gpt":0.2434109769777902,"score_spread":0.22188349171309096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059865978","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":[0.95831615,0.0002221273,0.040573146,0.0000909597,0.00044710364,0.00016708607,0.00007025748,0.000015141065,0.00009803272],"genre_scores_gemma":[0.9878515,0.0000659271,0.011778217,0.00006263268,0.00016272032,0.0000029736009,0.00003264093,0.000014968957,0.00002840543],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991331,0.000011193197,0.00042559294,0.00007001965,0.00025489795,0.00010520929],"domain_scores_gemma":[0.99934727,0.00009075132,0.00028444832,0.000044039753,0.00016527751,0.00006820093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045122925,0.00011992011,0.00017948466,0.00011820966,0.00003993757,0.00007468424,0.00010169226,0.00006425797,0.000012732475],"category_scores_gemma":[0.000072390525,0.00008950036,0.00004703644,0.00003097754,0.000017897528,0.00053512433,0.000022252447,0.00016420793,2.166032e-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":[0.0006183047,0.00004563222,0.0041761547,0.00040387193,0.00037283235,0.000039082013,0.002426606,0.002156961,0.6715575,0.0019529621,0.00028788904,0.31596226],"study_design_scores_gemma":[0.002781623,0.0003932657,0.024045,0.00038686921,0.00014804813,0.0006750057,0.0003415613,0.019765643,0.94729835,0.0014459004,0.002425225,0.0002935099],"about_ca_topic_score_codex":0.000005688556,"about_ca_topic_score_gemma":0.000010984672,"teacher_disagreement_score":0.31566873,"about_ca_system_score_codex":0.000025041756,"about_ca_system_score_gemma":0.000010823817,"threshold_uncertainty_score":0.36497188},"labels":[],"label_agreement":null},{"id":"W2060694783","doi":"10.1016/j.ijmachtools.2004.09.008","title":"Employing fractals and FEM for detailed variation analysis of non-rigid assemblies","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":43,"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":"","keywords":"Finite element method; Geometry; Fractal; Component (thermodynamics); Variation (astronomy); Surface (topology); Fixture; Deformation (meteorology); Mathematics; Structural engineering; Materials science; Engineering; Mechanical engineering; Mathematical analysis; Physics; Composite material","score_opus":0.008887092989028712,"score_gpt":0.2521734731782866,"score_spread":0.24328638018925788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060694783","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":[0.705429,0.0003227384,0.29358017,0.00023711125,0.00019802965,0.00007132114,0.0000621475,0.000012120428,0.000087375796],"genre_scores_gemma":[0.9922205,0.000449596,0.00711453,0.000055248725,0.0000936173,0.0000026175512,0.000037957157,0.000011969628,0.000013923034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992922,0.000005886579,0.00034489634,0.00008292215,0.00019573556,0.00007835708],"domain_scores_gemma":[0.9994321,0.000081022765,0.00022007676,0.00004886591,0.00017304636,0.00004492412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015970111,0.00011322346,0.00025900613,0.00033287512,0.000031828935,0.00010270577,0.00011202558,0.00006301736,0.000027258293],"category_scores_gemma":[0.000049635233,0.00009072233,0.000095347365,0.00006819459,0.000012387392,0.0003517599,0.000019477942,0.00010599252,1.2423178e-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":[0.00011143354,0.00003781657,0.002494859,0.000106025785,0.001963557,0.0000060727116,0.0008437095,0.9633481,0.0032329054,0.00029936648,0.00003969229,0.027516479],"study_design_scores_gemma":[0.0041520144,0.00028165878,0.77336067,0.0002322421,0.0016441989,0.00008265715,0.00012595206,0.15472215,0.05693927,0.0056951866,0.0022676475,0.0004963188],"about_ca_topic_score_codex":0.000016751868,"about_ca_topic_score_gemma":0.000025726831,"teacher_disagreement_score":0.80862594,"about_ca_system_score_codex":0.000031108793,"about_ca_system_score_gemma":0.00001381972,"threshold_uncertainty_score":0.3699549},"labels":[],"label_agreement":null},{"id":"W2061303464","doi":"10.1016/j.ijmachtools.2008.10.002","title":"Finite element modeling approaches in grinding","year":2008,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":false,"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":"Finite element method; Grinding; Macro; Scale (ratio); Focus (optics); Mechanical engineering; Macroscopic scale; Computer science; Engineering; Engineering drawing; Structural engineering; Physics","score_opus":0.03477988075758565,"score_gpt":0.24590186026909214,"score_spread":0.2111219795115065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061303464","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":[0.34666938,0.0015446694,0.65006214,0.0003006334,0.00043102563,0.000057696074,0.000015585943,0.000026176669,0.00089270953],"genre_scores_gemma":[0.9904378,0.0016465553,0.007673168,0.00005796673,0.00013625111,0.0000013303602,0.000013933622,0.000012344218,0.000020667558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939334,0.000006572923,0.0002686026,0.00006517425,0.00017694173,0.00008937019],"domain_scores_gemma":[0.9997849,0.000033069282,0.00006883793,0.000033835437,0.000042667132,0.000036706002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009385238,0.00009447973,0.00012356331,0.00014069656,0.000027198355,0.00003166867,0.00012439424,0.00003588087,0.000020264271],"category_scores_gemma":[0.000029498875,0.000078095894,0.000033955443,0.000034209144,0.000008812558,0.00032467808,0.000024861778,0.00022555834,5.0277663e-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":[0.000025391051,0.000013044535,0.0010958601,0.000011726483,0.000031278552,0.000040914158,0.00033107985,0.9784537,0.000025356487,0.00011687441,0.000018116947,0.019836647],"study_design_scores_gemma":[0.00069586583,0.00002806262,0.0018765928,0.000057745026,0.0000067641367,0.00022827399,0.000067402296,0.9944107,0.00042736478,0.0007997562,0.001285394,0.00011608308],"about_ca_topic_score_codex":0.000004195135,"about_ca_topic_score_gemma":0.000009193151,"teacher_disagreement_score":0.6437684,"about_ca_system_score_codex":0.000039008493,"about_ca_system_score_gemma":0.000009971764,"threshold_uncertainty_score":0.31846583},"labels":[],"label_agreement":null},{"id":"W2061353555","doi":"10.1016/j.ijmachtools.2013.09.002","title":"Generalized kinematics of five-axis serial machines with non-singular tool path generation","year":2013,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":186,"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 British Columbia","funders":"","keywords":"Kinematics; Machine tool; Inverse kinematics; Cartesian coordinate system; Screw theory; Orientation (vector space); Revolute joint; Machining; Quaternion; Screw axis; Geometry; Orthogonalization; Interpolation (computer graphics); Mathematics; Computer science; Engineering; Artificial intelligence; Mechanical engineering; Physics; Motion (physics); Classical mechanics","score_opus":0.006353406400320238,"score_gpt":0.20866651804777495,"score_spread":0.20231311164745472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061353555","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":[0.7566898,0.00014363101,0.24196373,0.00023902333,0.0006755532,0.00011778561,0.00003550588,0.000012021561,0.0001229539],"genre_scores_gemma":[0.80413026,0.00021669987,0.19468547,0.00013664359,0.0006097483,0.0000040447717,0.000060679697,0.000028540348,0.00012791077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990511,0.000015978645,0.00042558616,0.00008040722,0.00032653112,0.00010042513],"domain_scores_gemma":[0.99937737,0.000027967359,0.00020573087,0.00009158191,0.00023891957,0.000058445574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011218563,0.00015996283,0.00026411127,0.000094406496,0.000024470146,0.000117683274,0.00017465296,0.00006840504,0.00021045463],"category_scores_gemma":[0.00002433373,0.00010707615,0.00006957806,0.000029694096,0.000018228959,0.00030103038,0.000028107184,0.00015855093,0.0000015726728],"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":[0.000093470495,0.00005901097,0.00023248981,0.00008592265,0.00041573547,0.000043593573,0.00039140932,0.9101849,0.052241657,0.0016768123,0.0014230725,0.033151887],"study_design_scores_gemma":[0.002229548,0.00023693271,0.0051087067,0.0001239518,0.00007872595,0.00036497274,0.000032863903,0.9807039,0.007821615,0.002715875,0.00031001563,0.00027293232],"about_ca_topic_score_codex":0.00005495857,"about_ca_topic_score_gemma":0.000013018629,"teacher_disagreement_score":0.070518926,"about_ca_system_score_codex":0.000024329958,"about_ca_system_score_gemma":0.000017732718,"threshold_uncertainty_score":0.43664387},"labels":[],"label_agreement":null},{"id":"W2064464145","doi":"10.1016/s0890-6955(00)00109-7","title":"Design, implementation and validation of a system for the dynamic reconfiguration of open architecture machine tool controls","year":2001,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Field-programmable gate array; Embedded system; Architecture; Open architecture; Protocol (science); Controller (irrigation); Computer science; Control system; Computer architecture; Gate array; Field (mathematics); Systems architecture; Engineering; Control engineering; Operating system; Software; Electrical engineering","score_opus":0.014122473682231771,"score_gpt":0.28944230030417883,"score_spread":0.27531982662194704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064464145","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":[0.26108697,0.0011767731,0.73499095,0.0009227677,0.00043289445,0.0010811297,0.00021923947,0.00001160721,0.00007768016],"genre_scores_gemma":[0.9982021,0.000104058316,0.0014417232,0.000030954972,0.00009385094,0.00002392841,0.00006192614,0.000013758284,0.000027695582],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990202,0.000088558234,0.0005363264,0.000079010286,0.00019956306,0.00007632459],"domain_scores_gemma":[0.9988256,0.00038745036,0.00045724274,0.00006974218,0.00023718354,0.000022788856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063303794,0.000118284355,0.00026370827,0.000109706365,0.000039964034,0.00014716404,0.00023582422,0.000043170952,0.000020264835],"category_scores_gemma":[0.00003984004,0.00007728521,0.000056549805,0.000031520154,0.000018681345,0.0003036228,0.00002497167,0.0001354684,1.2672935e-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":[0.0023126884,0.000047860096,0.0020340509,0.00039903677,0.0018387268,0.000015066115,0.0023169543,0.25473922,0.17586389,0.001491009,0.0002480512,0.5586934],"study_design_scores_gemma":[0.030298768,0.0023643514,0.06874235,0.0016210041,0.00091014133,0.0029374503,0.0026884885,0.68355775,0.17517336,0.003517755,0.027211351,0.0009772714],"about_ca_topic_score_codex":0.000041803578,"about_ca_topic_score_gemma":0.000032775613,"teacher_disagreement_score":0.73711514,"about_ca_system_score_codex":0.00004709621,"about_ca_system_score_gemma":0.00001753095,"threshold_uncertainty_score":0.31515995},"labels":[],"label_agreement":null},{"id":"W2071868481","doi":"10.1016/j.ijmachtools.2013.07.003","title":"Pre-compensation of contour errors in five-axis CNC machine tools","year":2013,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":107,"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 British Columbia","funders":"","keywords":"Contouring; Jerk; Machine tool; Control theory (sociology); Kinematics; Numerical control; Servo; Piecewise; Spline (mechanical); Position (finance); Compensation (psychology); Piecewise linear function; Machining; Engineering; Computer science; Acceleration; Mathematics; Geometry; Engineering drawing; Mechanical engineering; Artificial intelligence; Physics; Mathematical analysis; Control (management)","score_opus":0.00784007331116978,"score_gpt":0.23459426690561458,"score_spread":0.2267541935944448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071868481","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":[0.9924154,0.0010073883,0.003646265,0.0009903883,0.00068739115,0.00023263911,0.00007005172,0.000020313439,0.0009301633],"genre_scores_gemma":[0.9987149,0.00007140929,0.0005580927,0.000108415676,0.00021695167,0.000005952294,0.00002839076,0.00001900536,0.00027688578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998727,0.00007403103,0.00061840954,0.00010096525,0.0003454797,0.00013406758],"domain_scores_gemma":[0.9991628,0.00017292344,0.00028892307,0.00008577467,0.00022746617,0.00006209045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002667509,0.00017179154,0.0003453695,0.00023189017,0.000017153221,0.00013120421,0.0002551182,0.00008279381,0.0003084878],"category_scores_gemma":[0.00013370576,0.00013493712,0.00009163525,0.00004401875,0.000023778779,0.0006458662,0.00003214461,0.00039967036,0.0000070847163],"study_design_candidate":"observational","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":[0.0008385408,0.00031020326,0.09354128,0.00036674115,0.0018338436,0.00024393109,0.009906827,0.4027424,0.106667,0.0017582454,0.0066079283,0.37518308],"study_design_scores_gemma":[0.0038719098,0.00026357744,0.8907644,0.00038174976,0.00003268544,0.0002855436,0.00015603598,0.08734392,0.0046014045,0.0010107955,0.010943196,0.00034478103],"about_ca_topic_score_codex":0.00031762963,"about_ca_topic_score_gemma":0.00011885092,"teacher_disagreement_score":0.79722315,"about_ca_system_score_codex":0.0000779189,"about_ca_system_score_gemma":0.000014748776,"threshold_uncertainty_score":0.55025756},"labels":[],"label_agreement":null},{"id":"W2073164081","doi":"10.1016/s0890-6955(02)00277-8","title":"Mechanics of boring processes—Part II—multi-insert boring heads","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":42,"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 British Columbia","funders":"","keywords":"Insert (composites); Mechanical engineering; Enhanced Data Rates for GSM Evolution; Process (computing); Mechanics; Head (geology); Engineering; Kinematics; Mach number; Structural engineering; Engineering drawing; Physics; Computer science; Geology; Classical mechanics","score_opus":0.012511016410707843,"score_gpt":0.25043042097673535,"score_spread":0.2379194045660275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073164081","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":[0.1382398,0.008091946,0.84959155,0.00028669694,0.0022274412,0.0001438138,0.00007900254,0.00008195264,0.0012578045],"genre_scores_gemma":[0.9802661,0.002600826,0.01681338,0.00007018245,0.00013791758,0.000001834712,0.000011045888,0.000026622356,0.000072081435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909824,0.000010890975,0.00039814922,0.00009654953,0.00026987,0.00012630603],"domain_scores_gemma":[0.9992655,0.00004497519,0.00026497032,0.000066010405,0.0002905201,0.00006800407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016808316,0.00015158977,0.00021395393,0.00011708972,0.00005069687,0.00004674331,0.00018276257,0.000064665976,0.000046976515],"category_scores_gemma":[0.00021630876,0.00012788248,0.00005469649,0.000071039205,0.00001056814,0.0005365968,0.000031748747,0.00026231122,4.0938372e-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":[0.00013489941,0.00016215967,0.00077312224,0.00043964016,0.00039263497,0.000050188504,0.0009742235,0.9234471,0.003766822,0.004660591,0.00025090526,0.064947754],"study_design_scores_gemma":[0.011609187,0.0012259552,0.0033760725,0.002210145,0.00040131784,0.0023845,0.00078209175,0.1795941,0.4232483,0.017087549,0.35591334,0.0021674419],"about_ca_topic_score_codex":0.0000030935687,"about_ca_topic_score_gemma":0.000009060684,"teacher_disagreement_score":0.8420263,"about_ca_system_score_codex":0.0000383337,"about_ca_system_score_gemma":0.000036121353,"threshold_uncertainty_score":0.5214896},"labels":[],"label_agreement":null},{"id":"W2073842079","doi":"10.1016/j.ijmachtools.2013.06.008","title":"Forces exerted on the tool-electrode during constant-feed glass micro-drilling by spark assisted chemical engraving","year":2013,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"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","keywords":"Machining; Voltage; Engraving; Electrode; SIGNAL (programming language); Work (physics); Drilling; SPARK (programming language); Limiting current; Current (fluid); RADIUS; Mechanical engineering; Materials science; Constant (computer programming); Mechanics; Composite material; Engineering; Electrical engineering; Chemistry; Computer science; Physics","score_opus":0.005190047788963221,"score_gpt":0.21082178304556295,"score_spread":0.20563173525659972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073842079","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":[0.96036744,0.0006286796,0.03604708,0.0013761491,0.00030595198,0.00015255719,0.00006009894,0.00013204488,0.00093002483],"genre_scores_gemma":[0.9954882,0.0004606304,0.003452966,0.00029134916,0.00014651165,0.000006536177,0.000031759322,0.000026258487,0.000095778676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990813,0.000023778583,0.00035727685,0.00011254809,0.00025790997,0.00016716118],"domain_scores_gemma":[0.9993818,0.00018361419,0.00016623421,0.00008697228,0.00012262288,0.00005876709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011780189,0.00018500545,0.00019657641,0.000088808534,0.000076356584,0.00020441863,0.00027328543,0.000079115205,0.00012673959],"category_scores_gemma":[0.00008650781,0.00012328116,0.000072302304,0.00004080727,0.000036616886,0.00027458766,0.000034779816,0.00047205627,0.0000022151028],"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":[0.00016411633,0.00006538228,0.00040882526,0.00003934951,0.00047673137,0.000031134226,0.00030636135,0.021282453,0.91484284,0.0008773073,0.008937216,0.052568283],"study_design_scores_gemma":[0.0014470523,0.00010089031,0.0026036482,0.0002923538,0.00004897738,0.0004888639,0.00009775631,0.02225965,0.9617747,0.003010169,0.007385256,0.00049070094],"about_ca_topic_score_codex":0.000009517115,"about_ca_topic_score_gemma":0.0000011324502,"teacher_disagreement_score":0.05207758,"about_ca_system_score_codex":0.00006739,"about_ca_system_score_gemma":0.000008920087,"threshold_uncertainty_score":0.50272596},"labels":[],"label_agreement":null},{"id":"W2075722502","doi":"10.1016/j.ijmachtools.2006.08.028","title":"Modelling of the stability of variable helix end mills","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":112,"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 British Columbia","funders":"University of Sheffield","keywords":"Helix (gastropod); Variable (mathematics); Stability (learning theory); Helix angle; Range (aeronautics); Machining; Control theory (sociology); Time domain; Engineering; Mathematics; Computer science; Mechanical engineering; Mathematical analysis; Artificial intelligence","score_opus":0.009067435674291146,"score_gpt":0.20674269741120305,"score_spread":0.1976752617369119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075722502","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":[0.3851412,0.0016076203,0.6114016,0.00015548659,0.00047042425,0.000056649955,0.00012437982,0.000009128356,0.0010334917],"genre_scores_gemma":[0.9887057,0.00025172182,0.010900792,0.00001791155,0.00008545733,3.4981946e-7,0.0000075410594,0.00000823317,0.00002230279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993399,0.00001028523,0.00032957082,0.000048909627,0.00021341807,0.00005792978],"domain_scores_gemma":[0.9994823,0.00006058204,0.00020096841,0.00006237245,0.00017699876,0.000016807917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012409357,0.0000759297,0.00014032162,0.000041000872,0.000016983853,0.000015698815,0.00016895418,0.00003684651,0.00005588992],"category_scores_gemma":[0.000023734437,0.00004995511,0.000054668093,0.000037680325,0.000026091422,0.00016871354,0.00002789824,0.00014293774,6.385069e-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":[0.000028597527,0.00002138919,0.0004957269,0.000044353947,0.00003850428,7.3543697e-7,0.00006194769,0.9936392,0.0019323782,0.0006774811,0.000037083628,0.0030226407],"study_design_scores_gemma":[0.001586147,0.00010356368,0.006600444,0.00033196414,0.00009622161,0.0001153211,0.00007225842,0.77439743,0.18252453,0.027735481,0.0061703566,0.00026629702],"about_ca_topic_score_codex":0.000051858377,"about_ca_topic_score_gemma":0.0000064347937,"teacher_disagreement_score":0.6035645,"about_ca_system_score_codex":0.000018325685,"about_ca_system_score_gemma":0.000015895313,"threshold_uncertainty_score":0.20371102},"labels":[],"label_agreement":null},{"id":"W2079672984","doi":"10.1016/j.ijmachtools.2009.03.006","title":"A new approach to the modeling of oblique cutting processes","year":2009,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Rake angle; Oblique case; Slip (aerodynamics); Rake; Kinematics; Shear (geology); Slip angle; Mechanics; Slip line field; Geometry; Structural engineering; Engineering; Geology; Mechanical engineering; Mathematics; Physics; Machining; Classical mechanics","score_opus":0.011343531639077298,"score_gpt":0.24926375018419653,"score_spread":0.23792021854511922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079672984","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":[0.009373423,0.0012403938,0.9855747,0.001375219,0.00016378838,0.00006512776,0.000010082396,0.000019020243,0.002178221],"genre_scores_gemma":[0.95428663,0.00047352302,0.04462398,0.00030791922,0.00024581922,6.1917075e-7,0.000006265895,0.000009168224,0.000046097444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939406,0.0000060852385,0.0002580776,0.00006598793,0.00020031737,0.00007546775],"domain_scores_gemma":[0.9995754,0.000032873235,0.00010144622,0.000051424562,0.0001850079,0.00005390031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011446171,0.00009362302,0.00012853244,0.00008155091,0.000026017131,0.00006454304,0.00024070831,0.000032498814,0.000009088303],"category_scores_gemma":[0.000108528955,0.000060219412,0.000034632303,0.000069534864,0.0000041440917,0.00025464332,0.00001927607,0.00017915881,3.4778824e-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":[0.00003411413,0.0000111524405,0.000011007309,0.000023965595,0.000031395048,0.0000013616296,0.00048286645,0.91546094,0.000095824646,0.0003165383,0.00025267465,0.083278134],"study_design_scores_gemma":[0.0009720927,0.00016959298,0.00056845765,0.00029828044,0.00005772299,0.000379656,0.00023965052,0.9712384,0.0040777344,0.008189531,0.013520891,0.00028800406],"about_ca_topic_score_codex":0.0000057178218,"about_ca_topic_score_gemma":0.000002543689,"teacher_disagreement_score":0.9449132,"about_ca_system_score_codex":0.000015124956,"about_ca_system_score_gemma":0.000032688426,"threshold_uncertainty_score":0.24556763},"labels":[],"label_agreement":null},{"id":"W2084795187","doi":"10.1016/s0890-6955(01)00129-8","title":"A chip formation based analytic force model for oblique cutting","year":2002,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Oblique case; Chip formation; Chip; Constitutive equation; Materials science; Shear (geology); Structural engineering; Shear force; Machining; Shear stress; Mechanics; Geometry; Mechanical engineering; Engineering; Composite material; Mathematics; Finite element method; Physics; Tool wear","score_opus":0.01723914490832018,"score_gpt":0.2442785536516148,"score_spread":0.22703940874329462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084795187","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":[0.009858593,0.0005675227,0.9881469,0.0006298907,0.0001879575,0.0000837283,0.000050427418,0.00003305415,0.0004419421],"genre_scores_gemma":[0.96777546,0.00029897,0.031272255,0.00033419748,0.00014137659,0.0000040489917,0.00003238471,0.000018207917,0.00012310308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993859,0.0000052413725,0.00028280585,0.0000651847,0.00016161082,0.000099290686],"domain_scores_gemma":[0.9995354,0.000067063535,0.00015113283,0.000044592354,0.00015296257,0.000048880687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010287441,0.00011004537,0.00013190863,0.00012838114,0.000042163363,0.0000890516,0.00013285181,0.00004839059,0.000027627859],"category_scores_gemma":[0.00007284327,0.000090905334,0.000072390685,0.0000323794,0.000007877662,0.00057302637,0.000011185663,0.00015097688,4.786528e-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":[0.000031168656,0.00001161751,0.000017482176,0.000049292783,0.00003712881,0.0000024924043,0.00017384192,0.9576446,0.00018298769,0.00021640098,0.00033849292,0.0412945],"study_design_scores_gemma":[0.00073688175,0.000039763752,0.00006222912,0.00005507676,0.000023564773,0.00005217917,0.000010493157,0.993976,0.0012369212,0.001946333,0.001764503,0.00009607796],"about_ca_topic_score_codex":6.1548917e-7,"about_ca_topic_score_gemma":0.0000031897414,"teacher_disagreement_score":0.95791686,"about_ca_system_score_codex":0.00004172298,"about_ca_system_score_gemma":0.0000068769423,"threshold_uncertainty_score":0.3707012},"labels":[],"label_agreement":null},{"id":"W2086209493","doi":"10.1016/j.ijmachtools.2005.12.013","title":"Laser digitizer-based sheet metal strain and surface analysis","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Sheet metal; Ellipse; Blank; Optics; Surface (topology); Laser; Curvature; Geometry; Coordinate-measuring machine; Materials science; Laser scanning; Structured light; Mathematics; Physics; Composite material","score_opus":0.014248843928843572,"score_gpt":0.2546465554800846,"score_spread":0.240397711551241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086209493","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":[0.65116113,0.00041029736,0.33775753,0.006857693,0.0002601129,0.00008152418,0.00010537023,0.000053545355,0.0033127815],"genre_scores_gemma":[0.9886291,0.000023993274,0.010781653,0.00037382348,0.00008258869,5.0423336e-7,0.000012928039,0.000003957372,0.00009146762],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99897254,0.0000366582,0.0003031916,0.0001495834,0.00042712674,0.00011090989],"domain_scores_gemma":[0.9993765,0.00008442269,0.00017896804,0.00009621084,0.00019394017,0.00006998293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002898432,0.00013146819,0.0002226466,0.0001743575,0.000031457435,0.0004268818,0.0004349022,0.000046840676,0.000064732674],"category_scores_gemma":[0.000029451525,0.000089646805,0.00012719714,0.000089492,0.00004215204,0.00060069625,0.00007987207,0.00017585044,6.937827e-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":[0.00042051065,0.0013221311,0.05336451,0.000057532943,0.005022006,0.0006568259,0.0003392119,0.012331267,0.04317738,0.085518904,0.007021596,0.79076815],"study_design_scores_gemma":[0.0052414224,0.0019260594,0.54888874,0.00025342364,0.0011286028,0.00033954007,0.00006308447,0.12212935,0.22358383,0.07053343,0.02432399,0.0015885483],"about_ca_topic_score_codex":0.000028188166,"about_ca_topic_score_gemma":0.00002879774,"teacher_disagreement_score":0.78917956,"about_ca_system_score_codex":0.000022489643,"about_ca_system_score_gemma":0.00002304382,"threshold_uncertainty_score":0.4116431},"labels":[],"label_agreement":null},{"id":"W2094986328","doi":"10.1016/j.ijmachtools.2003.11.005","title":"Model-based controller design for machine tool direct feed drives","year":2004,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); PID controller; Transfer function; Compensation (psychology); Controller (irrigation); Control engineering; Feed forward; Actuator; Step response; Ripple; System identification; Machine tool; Engineering; Observer (physics); Computer science; Control (management); Mechanical engineering; Artificial intelligence; Temperature control","score_opus":0.012250490241544744,"score_gpt":0.24063719741057918,"score_spread":0.22838670716903445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094986328","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":[0.043709088,0.0013261675,0.9519564,0.0014613577,0.0006645415,0.00033943696,0.00015370354,0.0000577197,0.00033158495],"genre_scores_gemma":[0.9873479,0.000035061326,0.0116597,0.00038339663,0.00036148648,0.000014506115,0.000020047544,0.00003406058,0.00014385028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989818,0.000040599778,0.0004118831,0.00011841005,0.00028766753,0.00015968236],"domain_scores_gemma":[0.9992374,0.00023281176,0.00017602101,0.00006814831,0.00021640459,0.000069173264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033843587,0.00020773288,0.00034809572,0.00015841509,0.000051166662,0.00018103613,0.00023518654,0.00007821607,0.00001948515],"category_scores_gemma":[0.0001346378,0.00015512657,0.00016477998,0.00002486669,0.000022204302,0.00026311597,0.000013692295,0.00026421703,0.000001957232],"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":[0.00044016066,0.000030035946,0.00008518485,0.000020496545,0.0003336511,0.000020993475,0.0001777467,0.9801663,0.00787418,0.00032717935,0.00040982137,0.01011426],"study_design_scores_gemma":[0.010277337,0.0002865969,0.0017230454,0.00016002904,0.000077383425,0.0001100106,0.000011119197,0.96639687,0.008295384,0.0028948952,0.009449027,0.00031828845],"about_ca_topic_score_codex":0.000006454196,"about_ca_topic_score_gemma":0.000006507406,"teacher_disagreement_score":0.9436388,"about_ca_system_score_codex":0.000106138796,"about_ca_system_score_gemma":0.00003957602,"threshold_uncertainty_score":0.63258785},"labels":[],"label_agreement":null},{"id":"W2103067845","doi":"10.1016/j.ijmachtools.2009.06.010","title":"Estimation of machine-tool dynamic parameters during machining operation through operational modal analysis","year":2009,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Modal; Modal analysis; Machine tool; Operational Modal Analysis; Stability (learning theory); Numerical control; Computer science; Cutting tool; Autoregressive–moving-average model; Mechanical engineering; Engineering; Autoregressive model; Structural engineering; Finite element method; Mathematics; Machine learning; Materials science; Statistics","score_opus":0.0053857236275409864,"score_gpt":0.25471854652696796,"score_spread":0.249332822899427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103067845","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":[0.4894221,0.00065552135,0.5089423,0.00040243217,0.00023341345,0.00007617147,0.00008941737,0.00003297344,0.00014563781],"genre_scores_gemma":[0.95456135,0.00058770925,0.04437361,0.0001446226,0.000062202664,0.0000017677743,0.0002278488,0.000016841075,0.000024073752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862677,0.000026634098,0.0006411733,0.00015349314,0.00041843636,0.00013350688],"domain_scores_gemma":[0.9993389,0.00006130236,0.00028835665,0.000098235534,0.00016323014,0.000049973478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001584182,0.0002095847,0.00033304121,0.0002960073,0.00007702374,0.00014478792,0.00022246066,0.0000833691,0.00006187166],"category_scores_gemma":[0.00007001045,0.00017931184,0.00014678467,0.00014462935,0.000023845048,0.0010974805,0.000025325791,0.00029464366,7.19204e-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":[0.00010474265,0.000032818003,0.00029079706,0.000022073487,0.000405365,0.00001090628,0.00035419417,0.9498144,0.001364409,0.00036909964,0.000009372083,0.047221836],"study_design_scores_gemma":[0.00094701303,0.0001004727,0.019706797,0.000054358454,0.00020675942,0.00011568033,0.000031618,0.97186834,0.0050455173,0.0016511896,0.00006719045,0.00020504673],"about_ca_topic_score_codex":0.000012708803,"about_ca_topic_score_gemma":0.000011265655,"teacher_disagreement_score":0.4651392,"about_ca_system_score_codex":0.00007798604,"about_ca_system_score_gemma":0.000022340699,"threshold_uncertainty_score":0.7312125},"labels":[],"label_agreement":null},{"id":"W2108832095","doi":"10.1016/j.ijmachtools.2005.10.001","title":"Surface defects during microcutting","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Dimple; Microscale chemistry; Microstructure; Materials science; Grain boundary; Dissipation; Grain size; Chip formation; Surface (topology); Composite material; Metallurgy; Machining; Geometry; Tool wear; Physics","score_opus":0.004752591393421377,"score_gpt":0.22690664144298253,"score_spread":0.22215405004956115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108832095","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":[0.9661012,0.002360911,0.02969853,0.0005061747,0.00042944966,0.000035260826,0.000017405568,0.000048511203,0.0008025264],"genre_scores_gemma":[0.9856377,0.0009413498,0.01283567,0.000109175955,0.0003624358,2.6147396e-7,0.0000068152917,0.000017503842,0.00008906541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944746,0.0000058515366,0.000224984,0.000064734166,0.00015879572,0.00009817569],"domain_scores_gemma":[0.99968576,0.000034805566,0.00010141059,0.000038793725,0.000086966174,0.00005228209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006110869,0.000104923776,0.000116378724,0.00005981258,0.000036504152,0.000082192426,0.00013959514,0.000040182716,0.00004935974],"category_scores_gemma":[0.000028217662,0.00008764261,0.00004526729,0.000025439997,0.000009504268,0.00043522153,0.000028370523,0.0002131497,0.0000023168898],"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":[0.000040712584,0.0000129117,0.00057689525,0.000030241135,0.000077559256,0.00002383899,0.00022181103,0.9331425,0.009630432,0.000059326932,0.00015378834,0.056030005],"study_design_scores_gemma":[0.008584554,0.0002576419,0.04584331,0.0007983848,0.00019549424,0.0049063847,0.00032692755,0.19327162,0.5263774,0.0022695896,0.21554738,0.0016213079],"about_ca_topic_score_codex":0.000001343577,"about_ca_topic_score_gemma":0.000004951046,"teacher_disagreement_score":0.73987085,"about_ca_system_score_codex":0.00004087565,"about_ca_system_score_gemma":0.00000708739,"threshold_uncertainty_score":0.35739622},"labels":[],"label_agreement":null},{"id":"W2113444627","doi":"10.1016/j.ijmachtools.2005.05.015","title":"Investigation of micro-cutting operations","year":2005,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":752,"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 Calgary","funders":"","keywords":"Machining; Macro; Miniaturization; Mechanical engineering; Manufacturing engineering; Power consumption; Machine tool; Engineering; Computer science; Power (physics); Electrical engineering","score_opus":0.008829870154080523,"score_gpt":0.23713074564701195,"score_spread":0.22830087549293143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113444627","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":[0.8180636,0.002034604,0.1766388,0.0018809276,0.00052500627,0.00006871186,0.000055771223,0.000035479778,0.0006970651],"genre_scores_gemma":[0.9587482,0.00053472904,0.04025384,0.00015436215,0.00024040497,6.1482206e-7,0.000021799226,0.00001030037,0.000035748104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999456,0.000007369224,0.00029148028,0.000047425343,0.00014269954,0.000055022032],"domain_scores_gemma":[0.9996395,0.00003149214,0.00009502856,0.000035918278,0.00016016861,0.00003785627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088972796,0.000076005235,0.00010675602,0.00009232607,0.000024551811,0.000044586595,0.000113172566,0.0000356827,0.000039810755],"category_scores_gemma":[0.00003990347,0.00006316738,0.000034254164,0.000030929434,0.000017550956,0.00045193537,0.000017124537,0.00014056968,7.0604034e-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":[0.00001859132,0.000007595179,0.0005363229,0.000023522161,0.000075322045,0.0000028185202,0.0005142133,0.89633584,0.016395245,0.00038195716,0.00019727754,0.08551128],"study_design_scores_gemma":[0.0035075282,0.00024885446,0.01932346,0.0005028675,0.00014459378,0.0008094902,0.00029445408,0.41407153,0.50892514,0.0036995164,0.047803834,0.0006687578],"about_ca_topic_score_codex":0.0000032120515,"about_ca_topic_score_gemma":0.000008318592,"teacher_disagreement_score":0.49252987,"about_ca_system_score_codex":0.000023795059,"about_ca_system_score_gemma":0.000013702267,"threshold_uncertainty_score":0.2575891},"labels":[],"label_agreement":null},{"id":"W2120671162","doi":"10.1016/s0890-6955(03)00128-7","title":"Characterization of general systematic form errors for circular features","year":2003,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); Systematic error; Mathematics; Calculus (dental); Computer science; Engineering drawing; Engineering; Optics; Physics; Orthodontics; Statistics; Medicine","score_opus":0.01102205611627051,"score_gpt":0.2459197726524821,"score_spread":0.2348977165362116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120671162","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":[0.71590567,0.0013753466,0.28088364,0.00014477648,0.0009006414,0.00032810293,0.000068589914,0.000032194,0.0003610452],"genre_scores_gemma":[0.99511087,0.000250189,0.004367343,0.00007437075,0.000086379616,0.0000075505995,0.0000230188,0.000012126464,0.000068136396],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940944,0.000015119865,0.00029290776,0.000047403377,0.00016330836,0.00007183009],"domain_scores_gemma":[0.9995573,0.000028610819,0.00018363973,0.000047099224,0.0001535491,0.000029812665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021417538,0.000091809,0.00021628382,0.00011642654,0.000014648856,0.000017106375,0.000103746504,0.000056382687,0.000010068191],"category_scores_gemma":[0.00007973951,0.00006853569,0.000081591024,0.000018671946,0.000011589754,0.00018568391,0.0000054488546,0.00009896074,9.080124e-8],"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":[0.00012793245,0.00006186631,0.0007117453,0.0026384098,0.0008234737,0.000015853202,0.00034213343,0.0018586626,0.9803629,0.0058697104,0.00035291346,0.0068344306],"study_design_scores_gemma":[0.0017717347,0.00024193585,0.009923419,0.000834509,0.00020119708,0.00046016672,0.000046341545,0.0008494791,0.96787,0.007963669,0.009564442,0.00027311852],"about_ca_topic_score_codex":5.3772857e-7,"about_ca_topic_score_gemma":0.0000012858006,"teacher_disagreement_score":0.2792052,"about_ca_system_score_codex":0.000028122828,"about_ca_system_score_gemma":0.000008266169,"threshold_uncertainty_score":0.27948046},"labels":[],"label_agreement":null},{"id":"W2125277364","doi":"10.1016/j.ijmachtools.2006.10.005","title":"Generalized modeling of drilling vibrations. Part I: Time domain model of drilling kinematics, dynamics and hole formation","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Machine Tool Technologies Research Foundation; Pratt and Whitney Canada","keywords":"Vibration; Kinematics; Torsional vibration; Drilling; Deep hole drilling; Thrust; Mechanism (biology); Drill; Engineering; Time domain; Structural engineering; Frequency domain; Mechanics; Mechanical engineering; Acoustics; Physics; Classical mechanics; Computer science","score_opus":0.007568155755001757,"score_gpt":0.2161625231253997,"score_spread":0.20859436737039797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125277364","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":[0.27332255,0.00048331113,0.7256925,0.0001102756,0.00008715434,0.000045816054,0.00007048543,0.000011766941,0.00017614281],"genre_scores_gemma":[0.9006532,0.0006560039,0.09842413,0.000020320454,0.000095200085,9.109289e-7,0.00011051621,0.00001608003,0.000023660428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904656,0.00001002853,0.0005801154,0.000065633336,0.00021980528,0.00007784726],"domain_scores_gemma":[0.999362,0.00003688533,0.000307599,0.00005137098,0.00021212878,0.000030015683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441705,0.00011819724,0.00022642851,0.0001361224,0.00003346475,0.000045725854,0.00009609461,0.000057840312,0.000009233916],"category_scores_gemma":[0.000022669632,0.000101627586,0.000051289597,0.000034917965,0.0000189963,0.0005250846,0.000024296523,0.00012374276,1.0643602e-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":[0.00003020267,0.000014411041,0.0000252486,0.00007946967,0.00004092627,9.140637e-7,0.00015338427,0.9920665,0.002715989,0.0020916734,0.000022300459,0.002758967],"study_design_scores_gemma":[0.00053859514,0.000021585138,0.000018530232,0.00012403517,0.000028317007,0.000022899336,0.000032462744,0.9850153,0.0034944334,0.010581309,0.00003143666,0.00009114148],"about_ca_topic_score_codex":0.000007990516,"about_ca_topic_score_gemma":0.000010756023,"teacher_disagreement_score":0.62733066,"about_ca_system_score_codex":0.000029382354,"about_ca_system_score_gemma":0.000011699555,"threshold_uncertainty_score":0.41442525},"labels":[],"label_agreement":null},{"id":"W2153181933","doi":"10.1016/j.ijmachtools.2008.01.002","title":"Feed optimization for five-axis CNC machine tools with drive constraints","year":2008,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":243,"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 British Columbia","funders":"","keywords":"Jerk; Machining; Machine tool; Numerical control; Control theory (sociology); Servo; Acceleration; Engineering; Servomechanism; Servomotor; Control engineering; Computer science; Mechanical engineering; Control (management); Artificial intelligence","score_opus":0.009569881473139448,"score_gpt":0.23894938967275936,"score_spread":0.2293795081996199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153181933","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":[0.07726762,0.00042071112,0.9203051,0.00079540437,0.0001663343,0.00018550432,0.00026145412,0.00008291392,0.00051496],"genre_scores_gemma":[0.9107217,0.00070785236,0.0879231,0.0002441441,0.00016492802,0.000007707182,0.00010029757,0.00002679353,0.00010343969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990653,0.0000143816105,0.00036031604,0.0001257097,0.00029878147,0.00013552481],"domain_scores_gemma":[0.99923426,0.00013161193,0.00019324703,0.00007960157,0.0002692557,0.0000920464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008503068,0.00018939587,0.00029852803,0.00014855104,0.000058136797,0.00006258214,0.00022424951,0.00006728499,0.00016554404],"category_scores_gemma":[0.000077487384,0.00013519828,0.00011302982,0.000058253965,0.00008715314,0.0004795683,0.000027331194,0.000249033,8.662122e-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":[0.00058138085,0.00011958227,0.0011914357,0.000044814922,0.0011598676,0.00023635526,0.00037136514,0.7944581,0.0020224967,0.00040127654,0.0021258588,0.19728747],"study_design_scores_gemma":[0.015329087,0.0027556415,0.03822322,0.0007035287,0.00073394127,0.009657473,0.0003131673,0.75484455,0.08107597,0.0074863727,0.08619779,0.0026792858],"about_ca_topic_score_codex":0.000007028812,"about_ca_topic_score_gemma":0.0000069767875,"teacher_disagreement_score":0.83345413,"about_ca_system_score_codex":0.000065600994,"about_ca_system_score_gemma":0.000017835027,"threshold_uncertainty_score":0.5513226},"labels":[],"label_agreement":null},{"id":"W2189036176","doi":"10.1016/j.ijmachtools.2015.11.006","title":"Modeling and compensation of volumetric errors for five-axis machine tools","year":2015,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":245,"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 British Columbia","funders":"","keywords":"Machine tool; Kinematics; Compensation (psychology); Numerical control; Computer science; Coordinate-measuring machine; Screw theory; Measure (data warehouse); Workspace; Interferometry; Control theory (sociology); Inverse kinematics; Component (thermodynamics); Algorithm; Control engineering; Machining; Artificial intelligence; Engineering; Mechanical engineering; Control (management); Physics; Optics","score_opus":0.03967543063488148,"score_gpt":0.2828195087089173,"score_spread":0.24314407807403582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189036176","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":[0.59836894,0.0030346087,0.39733437,0.00034174247,0.0004310544,0.00014294343,0.000099776924,0.000030130348,0.0002164184],"genre_scores_gemma":[0.98291975,0.00044314418,0.016367476,0.00006997216,0.000118576914,0.00000301343,0.00002992841,0.00001338847,0.000034726516],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926037,0.0000138996475,0.00032798114,0.00007639956,0.00023186472,0.00008948982],"domain_scores_gemma":[0.99938405,0.00006801256,0.00012709096,0.000050993644,0.00029804168,0.00007183603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034482783,0.00011557692,0.00022694592,0.00024222446,0.000018232644,0.00003034254,0.00012909593,0.000065602064,0.000008037008],"category_scores_gemma":[0.00018741951,0.00009385546,0.0000578075,0.000038364662,0.000021044729,0.00034511276,0.000026453541,0.00016672297,1.5009728e-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":[0.0013558409,0.00015059215,0.0077288053,0.0002084715,0.0010072596,0.00002986616,0.0010946955,0.37875238,0.020598128,0.0016113578,0.0022580111,0.5852046],"study_design_scores_gemma":[0.008104635,0.0012687913,0.013044303,0.00024900393,0.00027010383,0.00044611856,0.00029155993,0.8938724,0.03460033,0.021981014,0.025216568,0.0006551824],"about_ca_topic_score_codex":0.000014605617,"about_ca_topic_score_gemma":0.000015797501,"teacher_disagreement_score":0.5845494,"about_ca_system_score_codex":0.000043162607,"about_ca_system_score_gemma":0.000013600076,"threshold_uncertainty_score":0.38273144},"labels":[],"label_agreement":null},{"id":"W2507791523","doi":"10.1016/j.ijmachtools.2006.01.023","title":"Arc-intersect method for -axis tool paths on a 5-axis machine","year":2006,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Orientation (vector space); Machine tool; Mechanical engineering; Compensation (psychology); Torque; Interpolation (computer graphics); Geometry; Computer science; Engineering; Mathematics; Physics","score_opus":0.007723829601357618,"score_gpt":0.24821880875223482,"score_spread":0.2404949791508772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507791523","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":[0.10114064,0.0012494666,0.8902039,0.0017777777,0.0019358138,0.00033407292,0.0005777367,0.00010952094,0.0026710497],"genre_scores_gemma":[0.97444874,0.00022271242,0.0237532,0.0003806824,0.00067395513,0.000010032017,0.00010495204,0.000040661464,0.00036507615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888116,0.000021612559,0.0004526773,0.00015521357,0.00031783173,0.00017150462],"domain_scores_gemma":[0.9993564,0.00016750528,0.00018027313,0.00009799452,0.00013903693,0.000058819198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026096732,0.00022952168,0.00027030948,0.0002098232,0.000050098897,0.000169068,0.0002620359,0.00009177676,0.0001652127],"category_scores_gemma":[0.000055349446,0.00017542242,0.00016637135,0.000033390283,0.000014346864,0.0002533835,0.000030739175,0.00028334654,0.0000023625869],"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":[0.0007767122,0.00016449763,0.00033726703,0.00019912247,0.0004923679,0.00008762609,0.00031915045,0.5486393,0.0013845135,0.002292942,0.008343499,0.43696296],"study_design_scores_gemma":[0.009042623,0.0013280151,0.021451484,0.0005435793,0.00027086277,0.0011405296,0.000093036375,0.4379678,0.101772755,0.024453986,0.40041274,0.0015225783],"about_ca_topic_score_codex":0.000046633246,"about_ca_topic_score_gemma":0.000033514018,"teacher_disagreement_score":0.87330806,"about_ca_system_score_codex":0.00006803466,"about_ca_system_score_gemma":0.0000138228115,"threshold_uncertainty_score":0.7153519},"labels":[],"label_agreement":null},{"id":"W2519086432","doi":"10.1016/j.ijmachtools.2016.09.004","title":"The effects of fluid vapor pressure and viscosity on the shapes of abrasive slurry-jet micro-machined holes and channels","year":2016,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Slurry; Jet (fluid); Viscosity; Materials science; Mechanics; Abrasive; Composite material; Rheology; Fluid pressure; Mechanical engineering; Engineering; Physics","score_opus":0.0058250086016639595,"score_gpt":0.2278018757213655,"score_spread":0.22197686711970155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519086432","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":[0.99311525,0.0011413681,0.00025992462,0.004918617,0.00021650261,0.0001243125,0.00006425984,0.0000026209375,0.00015712691],"genre_scores_gemma":[0.998389,0.00092338317,0.000058056485,0.0003998718,0.000066200526,0.0000013003968,9.024572e-7,0.0000065966733,0.00015470825],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9991081,0.00009177216,0.00025014227,0.00012390649,0.00033117307,0.00009492249],"domain_scores_gemma":[0.99852824,0.0009574226,0.00034272388,0.00007466598,0.000035071163,0.00006185836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032503653,0.00013297374,0.00017907757,0.000031751297,0.00011950488,0.000056368084,0.00028322818,0.00004159286,0.000100225174],"category_scores_gemma":[0.00029991887,0.00005277261,0.000059484635,0.000019567133,0.00029677633,0.00015456046,0.00020422968,0.00015833156,8.3409066e-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":[0.0008295561,0.00014861667,0.050121162,0.000064311585,0.00044560307,0.000033153286,0.0017360735,0.00013510848,0.7747,0.0019723563,0.0025489929,0.16726507],"study_design_scores_gemma":[0.0019023027,0.0006681844,0.7132237,0.00048024333,0.00009778623,0.00015292411,0.00012097757,0.00021228827,0.27273706,0.0036456762,0.00657626,0.00018261521],"about_ca_topic_score_codex":0.0000448905,"about_ca_topic_score_gemma":0.000020667883,"teacher_disagreement_score":0.6631025,"about_ca_system_score_codex":0.000009857014,"about_ca_system_score_gemma":0.0000060168445,"threshold_uncertainty_score":0.21520047},"labels":[],"label_agreement":null},{"id":"W2618817885","doi":"10.1016/j.ijmachtools.2018.03.001","title":"Mechanics and dynamics of orbital drilling operations","year":2018,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":37,"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 British Columbia","funders":"Academia Sinica; National Science Council","keywords":"Position (finance); Drilling; Chip; Stability (learning theory); Path (computing); Process (computing); Intersection (aeronautics); Orbital motion; Surface (topology); Machine tool; Orbital mechanics; Computer science; Geometry; Mechanics; Mechanical engineering; Engineering; Physics; Classical mechanics; Aerospace engineering; Mathematics","score_opus":0.0059012282084648995,"score_gpt":0.2381717863916151,"score_spread":0.2322705581831502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618817885","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":[0.20852597,0.00069380895,0.7893803,0.00035513059,0.000583375,0.00003659091,0.00006949071,0.00001590245,0.0003394005],"genre_scores_gemma":[0.9823191,0.0006389428,0.016777461,0.00004354903,0.000171448,3.2356186e-7,0.00001875948,0.000010480989,0.000019912868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954796,0.0000046086293,0.00022014826,0.00005039242,0.00012377811,0.000053106836],"domain_scores_gemma":[0.9996242,0.000026077965,0.000089150446,0.000033256423,0.00019203254,0.00003530562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070113674,0.00007409789,0.00011103379,0.00007224748,0.000030836916,0.000048193095,0.000088460816,0.000037601592,0.000028672543],"category_scores_gemma":[0.0000493235,0.000059915797,0.000022930913,0.000025050042,0.000017479384,0.00026810635,0.0000272781,0.00011613184,2.4188415e-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":[0.00012939608,0.00004431985,0.00044606376,0.000081682774,0.00033997945,0.000024665873,0.0010905288,0.8290046,0.001965146,0.02534241,0.00014529406,0.14138593],"study_design_scores_gemma":[0.00062483596,0.0001681716,0.0008590375,0.00008567087,0.000035730933,0.00033976458,0.00012342488,0.9864309,0.0034397356,0.0064172107,0.0013359537,0.00013955474],"about_ca_topic_score_codex":0.000004911749,"about_ca_topic_score_gemma":0.000042900276,"teacher_disagreement_score":0.77379316,"about_ca_system_score_codex":0.000017793473,"about_ca_system_score_gemma":0.000009121698,"threshold_uncertainty_score":0.24432954},"labels":[],"label_agreement":null},{"id":"W2799711417","doi":"10.1016/j.ijmachtools.2018.04.007","title":"On-line chatter detection in milling using drive motor current commands extracted from CNC","year":2018,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":174,"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 British Columbia","funders":"","keywords":"Engineering; Frequency response; Transfer function; Numerical control; Torque; Control theory (sociology); Digital control; Controller (irrigation); Vibration; Noise (video); Bandwidth (computing); Line (geometry); Control engineering; Computer science; Machining; Acoustics; Electronic engineering; Mechanical engineering; Control (management); Electrical engineering","score_opus":0.018026341214185636,"score_gpt":0.2845923449828631,"score_spread":0.2665660037686775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799711417","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":[0.6313417,0.0005591692,0.36662963,0.00009829619,0.0012185251,0.000043990007,0.000048672555,0.000014949389,0.000045091456],"genre_scores_gemma":[0.9959965,0.00043296357,0.0026862475,0.00012291849,0.00070967845,8.813494e-7,0.000027262535,0.000017961465,0.0000055915857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993134,0.000012754474,0.0002927018,0.00009543006,0.00018972307,0.000095975294],"domain_scores_gemma":[0.99957097,0.0000708535,0.00013823068,0.000050974802,0.00012343412,0.000045527853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007577255,0.00012880554,0.00014868441,0.0001721278,0.000036387777,0.00006733462,0.00012222998,0.000055648074,0.00006580496],"category_scores_gemma":[0.00003906561,0.00010629089,0.000040270115,0.00003834118,0.000018696734,0.00030639704,0.000022014587,0.00034174084,0.0000013738113],"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":[0.00047699723,0.000085204425,0.0006775165,0.000026368725,0.00014115091,0.000035050874,0.0006342901,0.6742777,0.020492462,0.000044286113,0.000052292624,0.30305666],"study_design_scores_gemma":[0.0024261044,0.00036785213,0.011919616,0.0005243612,0.00004517207,0.0000976189,0.000045865047,0.9270793,0.048740994,0.0036224474,0.0047785183,0.00035212704],"about_ca_topic_score_codex":0.000017974313,"about_ca_topic_score_gemma":0.000047893896,"teacher_disagreement_score":0.3646548,"about_ca_system_score_codex":0.00006911813,"about_ca_system_score_gemma":0.000007993112,"threshold_uncertainty_score":0.4334417},"labels":[],"label_agreement":null},{"id":"W2914247164","doi":"10.1016/j.ijmachtools.2019.02.003","title":"CFD and experimental analysis of the coolant flow in cryogenic milling","year":2019,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministero dello Sviluppo Economico","keywords":"Coolant; Nozzle; Machining; Mechanical engineering; Computational fluid dynamics; Materials science; Liquid nitrogen; Volumetric flow rate; Injector; Nuclear engineering; Flow (mathematics); Mechanics; Engineering; Aerospace engineering; Chemistry","score_opus":0.004047789057548296,"score_gpt":0.22343982666169723,"score_spread":0.21939203760414894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914247164","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":[0.990718,0.0023593658,0.00634404,0.00009487449,0.0002859501,0.000042019434,0.000029105657,0.0000040725463,0.00012254977],"genre_scores_gemma":[0.9982684,0.00040127969,0.0012132367,0.000055504734,0.000027670383,4.3082133e-7,0.00000739309,0.0000062193226,0.000019835008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953127,0.000008331897,0.00021087722,0.00005484482,0.00014333331,0.00005134526],"domain_scores_gemma":[0.9997621,0.000037383208,0.00009695604,0.000043659616,0.000039592636,0.000020289997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007193996,0.000069795184,0.00015477293,0.00013049533,0.000010551182,0.000025706406,0.00011158885,0.000028865008,0.00005064636],"category_scores_gemma":[0.0000129271775,0.00004601973,0.000057057387,0.00007296531,0.000011385967,0.00014292002,0.00003138315,0.00013045546,1.3943311e-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":[0.00004552176,0.000013163519,0.008466496,0.000012715515,0.0002835402,0.0000031765687,0.00035207436,0.98112166,0.0037234642,0.00005193859,0.000009554227,0.0059167035],"study_design_scores_gemma":[0.0016102915,0.000092583774,0.10938265,0.00013722216,0.00019695208,0.0000862135,0.00023799832,0.85949546,0.026869329,0.00028818738,0.0014071398,0.00019599391],"about_ca_topic_score_codex":0.0000073933243,"about_ca_topic_score_gemma":0.000015761383,"teacher_disagreement_score":0.12162622,"about_ca_system_score_codex":0.000020103047,"about_ca_system_score_gemma":0.000005944071,"threshold_uncertainty_score":0.18766302},"labels":[],"label_agreement":null},{"id":"W3153519252","doi":"10.1016/j.ijmachtools.2021.103737","title":"A reconfigurable mechanism model for error identification in the double ball bar tests of machine tools","year":2021,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Machine tool; Kinematics; Mechanism (biology); Position (finance); Ball (mathematics); Linear motion; Control theory (sociology); Four-bar linkage; Kinematic chain; Displacement (psychology); Computer science; Engineering; Algorithm; Motion (physics); Mathematics; Geometry; Mechanical engineering; Artificial intelligence; Physics; Classical mechanics","score_opus":0.038934383004835836,"score_gpt":0.2957228458210866,"score_spread":0.2567884628162508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153519252","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":[0.42746595,0.0034671274,0.5611905,0.0039265803,0.00091341307,0.00054660434,0.00035785337,0.000052130432,0.0020798675],"genre_scores_gemma":[0.99276876,0.0005504957,0.0061378474,0.00021300346,0.00007235313,0.000015932,0.000051985055,0.000013061474,0.00017657637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99913716,0.000020953656,0.00040877558,0.00009470465,0.00023282388,0.00010558267],"domain_scores_gemma":[0.99937195,0.00009704553,0.0001692915,0.0001011218,0.00023246107,0.000028132315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004955691,0.00011327712,0.00019685815,0.000111023204,0.000023148157,0.000054127304,0.000250842,0.00007113823,0.00003878141],"category_scores_gemma":[0.000092465765,0.00008213416,0.00008741211,0.00003866093,0.000013581198,0.00032419717,0.0000144823725,0.00023264762,3.562036e-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":[0.00088530866,0.00034216835,0.0006431158,0.0002083086,0.00060432823,0.00009479287,0.0014252384,0.10422364,0.749199,0.024095196,0.0025828378,0.11569607],"study_design_scores_gemma":[0.0063125603,0.00027624043,0.014855331,0.00028835732,0.00019108692,0.0006006485,0.0002467786,0.14982586,0.68795973,0.12301315,0.01593483,0.0004954402],"about_ca_topic_score_codex":0.0000046697655,"about_ca_topic_score_gemma":0.000070997616,"teacher_disagreement_score":0.5653028,"about_ca_system_score_codex":0.000040161285,"about_ca_system_score_gemma":0.00002681644,"threshold_uncertainty_score":0.3349334},"labels":[],"label_agreement":null},{"id":"W3204514969","doi":"10.1016/j.ijmachtools.2021.103805","title":"Rapid stability analysis of serrated end mills using graphical-frequency domain methods","year":2021,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia; Ministry of Education, India; Shastri Indo-Canadian Institute","keywords":"Discretization; Stability (learning theory); Nyquist stability criterion; Frequency domain; Machining; Control theory (sociology); Computer science; Algorithm; Mathematics; Mathematical optimization; Engineering; Mathematical analysis; Mechanical engineering; Artificial intelligence","score_opus":0.020557562259138892,"score_gpt":0.31053928647131124,"score_spread":0.28998172421217233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204514969","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":[0.40592402,0.0038908536,0.58911103,0.00019138529,0.00038752946,0.000034065135,0.00013858109,0.000015984631,0.00030655114],"genre_scores_gemma":[0.79541814,0.0013294359,0.20304765,0.00006855389,0.00005462361,4.3914255e-7,0.0000652043,0.000012037652,0.0000038896296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989653,0.000076724646,0.00049056485,0.00011754029,0.00025160713,0.00009825151],"domain_scores_gemma":[0.9990342,0.000146697,0.00023210864,0.000100991616,0.00041985515,0.00006614514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003454283,0.00013236598,0.0003504117,0.00024060611,0.000028954704,0.000051316798,0.00015283684,0.00007455476,0.0003773851],"category_scores_gemma":[0.00013657783,0.000109339104,0.00016943579,0.00031193258,0.000034801058,0.00027403983,0.000035274592,0.00024757124,6.647826e-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":[0.00013940927,0.00013878563,0.003858992,0.00013528479,0.005499042,0.00011728674,0.0009846264,0.7599321,0.09224532,0.001367539,0.0000314153,0.13555019],"study_design_scores_gemma":[0.0047891987,0.00032610557,0.09570705,0.00040294527,0.004033647,0.00093101285,0.0010620911,0.5339609,0.28747985,0.06184871,0.0080501195,0.0014084226],"about_ca_topic_score_codex":0.000012401413,"about_ca_topic_score_gemma":0.000023434512,"teacher_disagreement_score":0.38949415,"about_ca_system_score_codex":0.000040881267,"about_ca_system_score_gemma":0.000035424393,"threshold_uncertainty_score":0.44587195},"labels":[],"label_agreement":null},{"id":"W326660698","doi":"10.1016/j.ijmachtools.2015.05.005","title":"An accurate, efficient envelope approach to modeling the geometric deviation of the machined surface for a specific five-axis CNC machine tool","year":2015,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":48,"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":"Envelope (radar); Machining; Machine tool; Surface (topology); Kinematics; Cutter location; Numerical control; Interpolation (computer graphics); Computation; Motion (physics); Engineering; Mechanical engineering; Computer science; Geometry; Algorithm; Mathematics; Physics; Artificial intelligence; Aerospace engineering; Classical mechanics","score_opus":0.024530069240351088,"score_gpt":0.2725598166726612,"score_spread":0.24802974743231013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W326660698","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":[0.3347348,0.0006298405,0.66346645,0.00050954707,0.00019461353,0.00024032388,0.00009925995,0.000023679559,0.000101489015],"genre_scores_gemma":[0.9704406,0.00010764428,0.029076388,0.00014845049,0.00013708124,0.0000072572398,0.000028478853,0.000022787564,0.00003127323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861574,0.000050541985,0.0005229993,0.00014798294,0.0005194691,0.00014327101],"domain_scores_gemma":[0.9989641,0.00012477078,0.00022823532,0.00019602769,0.00039272098,0.00009418104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005597956,0.00018688294,0.000278122,0.00017765215,0.000058881804,0.00009559226,0.00066337205,0.000057613102,0.00000854616],"category_scores_gemma":[0.00019018531,0.00010117148,0.00014549236,0.00027193528,0.000023679937,0.0002251013,0.00008580388,0.00028719776,6.2757726e-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":[0.00012144384,0.0000652702,0.00015150459,0.000011648963,0.000109482986,9.015158e-7,0.0002741416,0.9778833,0.0011641717,0.00016798482,0.00036438744,0.01968576],"study_design_scores_gemma":[0.0006553554,0.00012105997,0.0026686923,0.000029753519,0.000049067774,0.000051883995,0.000092986644,0.98476875,0.005786443,0.0011535899,0.0044395877,0.00018285596],"about_ca_topic_score_codex":0.00002935995,"about_ca_topic_score_gemma":0.0000061898054,"teacher_disagreement_score":0.6357058,"about_ca_system_score_codex":0.00011444159,"about_ca_system_score_gemma":0.000022393602,"threshold_uncertainty_score":0.41256532},"labels":[],"label_agreement":null},{"id":"W4221021497","doi":"10.1016/j.ijmachtools.2022.103873","title":"Optimal cutting condition selection for high quality receptance measurements by sweep milling force excitation","year":2022,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Centro para el Desarrollo Tecnológico Industrial","keywords":"Machining; Computation; Vibration; Sweep frequency response analysis; SIGNAL (programming language); Time domain; Noise (video); Characterization (materials science); Excitation; Stability (learning theory); Computer science; Boundary (topology); Mechanical engineering; Machine tool; Quality (philosophy); Acoustics; Engineering; Algorithm; Materials science; Physics; Artificial intelligence; Mathematics","score_opus":0.017526496197498635,"score_gpt":0.28791791174796527,"score_spread":0.27039141555046664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221021497","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":[0.2516612,0.0007067625,0.7460019,0.0003344088,0.00085921993,0.00012904369,0.00019788998,0.000037916692,0.00007165467],"genre_scores_gemma":[0.97828454,0.00016184914,0.020768737,0.00016520344,0.00018826984,0.000017612134,0.0003151288,0.00002178102,0.000076876764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990297,0.000030941843,0.00036658233,0.000109411725,0.00035625097,0.00010713896],"domain_scores_gemma":[0.9993234,0.000086583816,0.00029120213,0.00003208911,0.00022923616,0.0000374406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036234275,0.000114721195,0.00014274566,0.00008599534,0.0001625633,0.00007354421,0.00012871624,0.000034538032,0.00006741779],"category_scores_gemma":[0.00008842333,0.00011418262,0.00005119411,0.000049462204,0.000008734495,0.00044812294,0.00002126335,0.00023323903,1.725873e-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":[0.00019069659,0.000023558878,0.00015670863,0.00004216343,0.00010726044,7.15954e-7,0.00019677122,0.951362,0.01194803,0.0002479777,0.0007771193,0.034946993],"study_design_scores_gemma":[0.013479554,0.002038765,0.008343357,0.0003135266,0.0003791126,0.00055516505,0.0014985062,0.7427247,0.14161073,0.026308957,0.06095997,0.0017876222],"about_ca_topic_score_codex":0.000010905864,"about_ca_topic_score_gemma":0.0000048037014,"teacher_disagreement_score":0.72662336,"about_ca_system_score_codex":0.00014597685,"about_ca_system_score_gemma":0.000013400915,"threshold_uncertainty_score":0.46562323},"labels":[],"label_agreement":null},{"id":"W4361295293","doi":"10.1016/j.ijmachtools.2023.104017","title":"Machine tool calibration: Measurement, modeling, and compensation of machine tool errors","year":2023,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":234,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Machine tool; Calibration; Compensation (psychology); Computer science; Point (geometry); Machine learning; Artificial intelligence; Kinematics; Coordinate-measuring machine; Control engineering; Engineering; Mechanical engineering; Mathematics; Statistics","score_opus":0.030437015305779448,"score_gpt":0.2658467064695686,"score_spread":0.23540969116378915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361295293","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":[0.6826029,0.0046872543,0.30789918,0.0019687668,0.0012428967,0.00035463332,0.00024786525,0.00025565363,0.0007408535],"genre_scores_gemma":[0.9952926,0.0016796966,0.002584586,0.00013629411,0.00016664354,0.000004355332,0.00006562611,0.000024252318,0.000045920686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985875,0.000034398792,0.0005417708,0.00012875375,0.0005660705,0.00014153885],"domain_scores_gemma":[0.9993402,0.000042952128,0.00019908781,0.0000976031,0.00026248503,0.000057679114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060304167,0.00019269432,0.00029402424,0.0002974223,0.000043681503,0.0000461873,0.00018558868,0.00009260126,0.00005851417],"category_scores_gemma":[0.000109799345,0.00015775619,0.00008071226,0.000078148376,0.00003493567,0.00044169332,0.00005328423,0.00030124822,8.8234987e-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":[0.0015159376,0.0002884381,0.026253162,0.0005578582,0.0025775412,0.00023565453,0.0014794765,0.41310862,0.16260752,0.0066725803,0.0072160717,0.37748712],"study_design_scores_gemma":[0.0046498603,0.00050360546,0.02281756,0.00035264826,0.00024112524,0.0004152697,0.00009760971,0.88953954,0.043423627,0.015952727,0.021247258,0.0007591646],"about_ca_topic_score_codex":0.000016374435,"about_ca_topic_score_gemma":0.000034318185,"teacher_disagreement_score":0.47643092,"about_ca_system_score_codex":0.00005481897,"about_ca_system_score_gemma":0.000020476293,"threshold_uncertainty_score":0.6433111},"labels":[],"label_agreement":null},{"id":"W4390540504","doi":"10.1016/j.ijmachtools.2024.104116","title":"Editorial – Special issue “Manufacturing technologies for metamaterials”","year":2024,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Innovations in Concrete and Construction Materials","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 British Columbia","funders":"","keywords":"Metamaterial; Engineering; Nanotechnology; Engineering physics; Manufacturing engineering; Mechanical engineering; Materials science; Optoelectronics","score_opus":0.0070751134828170945,"score_gpt":0.24858542609714318,"score_spread":0.2415103126143261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390540504","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20975733,0.00190683,0.014797294,0.0033738238,0.76581323,0.0003312626,0.0009211438,0.00054521137,0.0025538648],"genre_scores_gemma":[0.6850172,0.00082979153,0.0041860924,0.000074107105,0.30959302,0.00001356379,0.00004910069,0.000040026483,0.00019707778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999204,0.0000084137455,0.00037760293,0.00009193941,0.0002141625,0.00010392665],"domain_scores_gemma":[0.99963295,0.00008427673,0.000069739086,0.00006027439,0.00013326503,0.000019475647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022560745,0.00013334434,0.00019044813,0.00022871423,0.00003700784,0.00044231434,0.00021431856,0.0001159896,0.0003130344],"category_scores_gemma":[0.000056680437,0.00010294327,0.00008127365,0.0000303148,0.00003223573,0.00039878726,0.00003568024,0.00017650114,0.0000063409157],"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":[0.00020731491,0.000007011521,0.0000041241365,0.00014918965,0.0007171336,0.000034522924,0.00016027746,0.0008946309,0.032262094,0.0039425627,0.44638258,0.5152385],"study_design_scores_gemma":[0.00025445892,0.00003776285,0.00001358119,0.000048029528,0.000030466883,0.00014436933,0.000049278227,0.0001637877,0.1674249,0.0049927784,0.82674235,0.00009823991],"about_ca_topic_score_codex":0.0000014594522,"about_ca_topic_score_gemma":8.401616e-7,"teacher_disagreement_score":0.5151403,"about_ca_system_score_codex":0.0000416309,"about_ca_system_score_gemma":0.000020392703,"threshold_uncertainty_score":0.42652473},"labels":[],"label_agreement":null},{"id":"W4414077981","doi":"10.1016/j.ijmachtools.2025.104334","title":"A novel in-situ field-assisted powder bed laser fusion using liquid metal enabling microstructure control and strength enhancement of austenitic steel","year":2025,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondations communautaires du Canada; Tsinghua University; National Natural Science Foundation of China","keywords":"Microstructure; Austenite; Metal powder; Powder metallurgy; Ultimate tensile strength; Liquid metal; Fusion; Austenitic stainless steel","score_opus":0.009026961839492424,"score_gpt":0.2463471470903926,"score_spread":0.23732018525090018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414077981","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":[0.99179906,0.00089881785,0.0061369757,0.00025171172,0.00052689965,0.00010795431,0.000119049255,0.0000076007354,0.00015193268],"genre_scores_gemma":[0.99851614,0.0002854886,0.000854756,0.00019506337,0.00009883954,0.0000017180766,0.000014140577,0.000009761061,0.0000240916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919003,0.00001905368,0.00040554022,0.00010496417,0.00016635572,0.00011403397],"domain_scores_gemma":[0.9994967,0.00013168904,0.00015951377,0.00005071969,0.00012392004,0.000037457743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011950628,0.00016070482,0.00029894552,0.00020131351,0.00002795777,0.000075034775,0.00012380685,0.00008164383,0.00009194202],"category_scores_gemma":[0.00005186533,0.00012420556,0.000052292187,0.000037002155,0.000023413435,0.00018460833,0.000053797077,0.00020782322,1.1837286e-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":[0.0005658242,0.00004913961,0.00010369231,0.00019844425,0.00034960397,0.000031351377,0.00016386194,0.0015762657,0.9798715,0.000055494147,0.00003786103,0.016996939],"study_design_scores_gemma":[0.0024549246,0.00013154454,0.009998784,0.0004328216,0.00009705187,0.0001358629,0.00008518263,0.00048011277,0.98399186,0.00022545963,0.0018157345,0.00015067845],"about_ca_topic_score_codex":0.000025060772,"about_ca_topic_score_gemma":0.00003699912,"teacher_disagreement_score":0.01684626,"about_ca_system_score_codex":0.000035437264,"about_ca_system_score_gemma":0.000025306092,"threshold_uncertainty_score":0.5064956},"labels":[],"label_agreement":null}]}