{"meta":{"query_hash":"f32ba33fd0fc","filters":{"venue":"CIRP Annals"},"cohort_total":128,"direct_labels_cover":0,"predictions_cover":128,"exported":128,"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/f32ba33fd0fc","api":"https://metacan.xera.ac/api/v1/cohort?venue=CIRP+Annals"},"results":[{"id":"W1965317696","doi":"10.1016/j.cirp.2013.03.118","title":"Optimum granularity level of modular product design architecture","year":2013,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":88,"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","funders":"","keywords":"Granularity; Modular design; Cluster analysis; Design structure matrix; Computer science; Product (mathematics); Product design; Architecture; Cluster (spacecraft); Process (computing); Tree (set theory); Data mining; Engineering; Systems engineering; Mathematics; Artificial intelligence; Programming language","score_opus":0.1204700414202426,"score_gpt":0.253699554621172,"score_spread":0.1332295132009294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965317696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35987633,0.00073321996,0.62475157,0.00013738261,0.000026611406,0.00007973374,0.00015932514,0.0013469354,0.012888889],"genre_scores_gemma":[0.911126,0.0001129707,0.08785153,0.00001923593,0.000008512821,0.000028136836,0.00008869066,0.0000638654,0.0007011468],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994394,0.0001340297,0.000035014025,0.00011444211,0.00015585516,0.00012125505],"domain_scores_gemma":[0.9988631,0.0004040034,0.00017807963,0.00028724252,0.00019061314,0.00007690648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005796636,0.00047527,0.0003428699,0.0009516684,0.00031803473,0.0009087334,0.00054542325,0.0006407278,0.0031348283],"category_scores_gemma":[0.0025076296,0.00047256314,0.00039904396,0.0005810792,0.00025287532,0.0009944561,0.00068768597,0.0004389384,0.0003726748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016447231,0.00021312998,0.00849172,0.00051700603,0.000101470454,0.00037829875,0.00040006315,0.30190408,0.27273962,0.05874808,0.0023123682,0.35254937],"study_design_scores_gemma":[0.00018485717,0.00121364,0.014388743,0.00012560705,0.00030530943,0.00063687284,0.00019676516,0.84885186,0.086492606,0.040166516,0.0073707965,0.0000663934],"about_ca_topic_score_codex":0.00057350536,"about_ca_topic_score_gemma":0.0007450176,"teacher_disagreement_score":0.0031348283,"about_ca_system_score_codex":0.0003922414,"about_ca_system_score_gemma":0.00047267618,"threshold_uncertainty_score":0.01048702},"labels":[],"label_agreement":null},{"id":"W1967167595","doi":"10.1016/j.cirp.2014.05.007","title":"Virtual process systems for part machining operations","year":2014,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":350,"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":"Machining; Process (computing); Trajectory; Grinding; Machine tool; Numerical control; Intersection (aeronautics); Mechanical engineering; Tool path; Engineering; Path (computing); Cutting tool; Computer science; Engineering drawing; Manufacturing engineering","score_opus":0.02510619509402276,"score_gpt":0.2901519386021882,"score_spread":0.26504574350816545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967167595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07195339,0.00077700807,0.90166384,0.00018511844,0.00031185802,0.00012873471,0.00021756128,0.0039037534,0.02085879],"genre_scores_gemma":[0.86236244,0.00067579583,0.12254077,0.000080094505,0.00006640942,0.00012605106,0.00035074828,0.00023229777,0.013565401],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961025,0.00010415147,0.000015403817,0.000048320377,0.00018876237,0.0000332071],"domain_scores_gemma":[0.99971086,0.00007201565,0.000022412281,0.000090894915,0.00007605158,0.000027763477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038373913,0.00047412334,0.00043221432,0.00040810052,0.00047404537,0.0014548405,0.0009246538,0.0004911616,0.010519374],"category_scores_gemma":[0.00079860666,0.00023191317,0.00028600753,0.0005017775,0.00036437585,0.0009453106,0.0012001358,0.0004697342,0.0013910043],"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":[0.0014510708,0.0002568629,0.001059704,0.00034255636,0.000057695248,0.00021284267,0.00030860092,0.27255213,0.12445394,0.056734886,0.010224183,0.5323456],"study_design_scores_gemma":[0.00012267039,0.0009543745,0.0016595327,0.00005360979,0.000060681035,0.00021443427,0.00012335279,0.85736716,0.0572588,0.02579898,0.05632482,0.00006153185],"about_ca_topic_score_codex":0.0009745878,"about_ca_topic_score_gemma":0.0008934324,"teacher_disagreement_score":0.010519374,"about_ca_system_score_codex":0.0004098897,"about_ca_system_score_gemma":0.0006157684,"threshold_uncertainty_score":0.03519082},"labels":[],"label_agreement":null},{"id":"W1967981167","doi":"10.1016/s0007-8506(07)60021-3","title":"Asymmetric Single Point Incremental Forming of Sheet Metal","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":1145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sheet metal; Incremental sheet forming; Forming processes; Metal forming; Single point; Mechanical engineering; Spinning; Deformation (meteorology); Materials science; Point (geometry); Shear (geology); Engineering drawing; Manufacturing engineering; Engineering; Composite material; Geometry","score_opus":0.028044366363458143,"score_gpt":0.256271171633637,"score_spread":0.22822680527017886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967981167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8593816,0.0002330198,0.11466217,0.000057284717,0.00008538361,0.000052532327,0.00004553263,0.00036626525,0.025116269],"genre_scores_gemma":[0.9702501,0.000051122435,0.027246304,0.000007140293,0.000012242606,0.000009561012,0.00002748622,0.000032171225,0.0023638313],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997886,0.0000190861,0.000008773073,0.000035859346,0.000118284785,0.000029468974],"domain_scores_gemma":[0.99974376,0.000049653903,0.000047390386,0.00008818004,0.00005363662,0.000017296694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016998484,0.0002176349,0.00035279864,0.0003324128,0.0003391233,0.00036421526,0.0006126795,0.00022910902,0.0017124988],"category_scores_gemma":[0.00042477992,0.00020020807,0.00024684967,0.0003289416,0.00035981418,0.00042528883,0.00050020235,0.00037684262,0.00035097086],"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":[0.00040269177,0.00006477468,0.0012918505,0.00015144476,0.000016310923,0.0003317672,0.00021851971,0.021318303,0.86745435,0.018992811,0.00067141646,0.08908574],"study_design_scores_gemma":[0.00004064092,0.00071720954,0.004874967,0.0000145703,0.00003956062,0.00133797,0.0000995237,0.16574398,0.8162135,0.0035476454,0.0073415395,0.000028804165],"about_ca_topic_score_codex":0.00020390682,"about_ca_topic_score_gemma":0.0005757627,"teacher_disagreement_score":0.0017124988,"about_ca_system_score_codex":0.00018021418,"about_ca_system_score_gemma":0.00028604653,"threshold_uncertainty_score":0.0057289004},"labels":[],"label_agreement":null},{"id":"W1969523024","doi":"10.1016/s0007-8506(07)62063-0","title":"Generalized Modeling of Mechanics and Dynamics of Milling Cutters","year":2001,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":163,"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; Engineering; Milling cutter; Vibration; Mechanical engineering; Enhanced Data Rates for GSM Evolution; Ball (mathematics); Surface roughness; Torque; Process (computing); Structural engineering; Kinematics; Coordinate system; Envelope (radar); Surface finish; Point (geometry); Parametric statistics; Geometry; Machining; Computer science; Mathematics; Materials science; Physics; Acoustics; Classical mechanics","score_opus":0.024706080389506866,"score_gpt":0.2581687426603516,"score_spread":0.23346266227084475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969523024","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12409471,0.0010966437,0.8479365,0.0004564336,0.00014485198,0.0000611778,0.00028737285,0.00043941845,0.02548286],"genre_scores_gemma":[0.95659137,0.0007869586,0.027990118,0.00009586871,0.0000657707,0.00011163416,0.00017077624,0.00008821713,0.01409931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998323,0.000048203874,0.00000710427,0.000036568552,0.00005171743,0.000024093975],"domain_scores_gemma":[0.9998429,0.000051366573,0.000031162,0.000023464998,0.00003458674,0.00001654471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002962671,0.0006658543,0.0009864179,0.00045993662,0.00045498158,0.0012141394,0.0015365398,0.0015992512,0.002309395],"category_scores_gemma":[0.0006507688,0.000517578,0.000737721,0.0006330539,0.0009749477,0.0009961625,0.00076162297,0.00071501813,0.00033930747],"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":[0.000008394589,0.000005901556,0.00010456768,0.000011838865,0.000005843012,0.000025391346,0.00001647174,0.9863029,0.0006328974,0.011054645,0.00011677579,0.0017142609],"study_design_scores_gemma":[0.0000031993272,0.00000432954,0.000087726636,0.0000013359489,0.000002087492,0.0000054050083,0.000004225622,0.99633586,0.000059123668,0.0032694645,0.00022472757,0.0000025141785],"about_ca_topic_score_codex":0.008160107,"about_ca_topic_score_gemma":0.006920489,"teacher_disagreement_score":0.008160107,"about_ca_system_score_codex":0.0006624834,"about_ca_system_score_gemma":0.0008224835,"threshold_uncertainty_score":0.016225219},"labels":[],"label_agreement":null},{"id":"W1969961388","doi":"10.1016/j.cirp.2008.03.135","title":"Assessment of abrasion-assisted material removal in wire EDM","year":2008,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":57,"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":"Electrical discharge machining; Abrasion (mechanical); Machining; Mechanical engineering; Surface integrity; Process (computing); Materials science; Wire speed; Focus (optics); Wire drawing; Engineering drawing; Engineering; Metallurgy; Computer science; Optics; Physics","score_opus":0.030753680148641195,"score_gpt":0.3084315838123685,"score_spread":0.2776779036637273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969961388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98018897,0.0013687572,0.015785033,0.000019070265,0.000021689346,0.000059203412,0.0000673857,0.00012997471,0.0023599188],"genre_scores_gemma":[0.98810685,0.00028162877,0.009678248,0.000016888092,0.000006599466,0.000015235963,0.000095353455,0.000029301616,0.0017699125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989962,0.00014180515,0.000046553247,0.00007565488,0.00067649555,0.00006326238],"domain_scores_gemma":[0.99847955,0.00059774244,0.0001897696,0.00012636391,0.0005678802,0.000038726233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008432841,0.0003607248,0.0004297108,0.00070185366,0.00029891616,0.0004300493,0.00056913623,0.0005855544,0.0014957594],"category_scores_gemma":[0.002285161,0.00018706381,0.0003250752,0.0003587809,0.0001762507,0.00045148315,0.0003550202,0.00021269644,0.00030475794],"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":[0.0025855666,0.0002736108,0.010581065,0.00043542913,0.00007027557,0.00021500674,0.00014470582,0.007656613,0.8859714,0.0001915595,0.00015286182,0.09172182],"study_design_scores_gemma":[0.000034205765,0.004697043,0.07082699,0.000023283988,0.00021542991,0.00073105865,0.00023389427,0.03223189,0.8876247,0.00013680285,0.0032010574,0.00004370985],"about_ca_topic_score_codex":0.0006747912,"about_ca_topic_score_gemma":0.0016765727,"teacher_disagreement_score":0.0014957594,"about_ca_system_score_codex":0.00023464045,"about_ca_system_score_gemma":0.00020553064,"threshold_uncertainty_score":0.0050037503},"labels":[],"label_agreement":null},{"id":"W1970030229","doi":"10.1016/j.cirp.2015.04.100","title":"Prediction of part machining cycle times via virtual CNC","year":2015,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":50,"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":"Machining; Trajectory; Interpolation (computer graphics); Numerical control; Smoothing; Servo; Machine tool; Tool path; Engineering; Control engineering; Computer science; Mechanical engineering; Control theory (sociology); Control (management); Artificial intelligence; Computer vision","score_opus":0.04160535250317833,"score_gpt":0.2575292024842653,"score_spread":0.215923849981087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970030229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78324586,0.0003766513,0.20659494,0.00010199407,0.00011942615,0.0000649606,0.00059387664,0.0012809753,0.007621303],"genre_scores_gemma":[0.987276,0.000048498445,0.011442447,0.000007553015,0.0000049327787,0.000018986197,0.00015422022,0.000035213685,0.0010120258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984884,0.000025776526,0.0000042791835,0.00003963719,0.000058470236,0.000022950137],"domain_scores_gemma":[0.99915135,0.0004630063,0.00007103567,0.00008571218,0.00018487735,0.00004412047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003873679,0.00071232684,0.0005865878,0.00074224506,0.00038302568,0.0006079412,0.00082161365,0.0006458336,0.0019338615],"category_scores_gemma":[0.0015332601,0.00043085456,0.00042037,0.0006867259,0.00040952742,0.0005179612,0.00031419314,0.0004885063,0.0002768763],"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":[0.000076958335,0.000017472255,0.0010968052,0.0000126874775,0.0000057362336,0.00001694739,0.0000046498817,0.9902354,0.001135221,0.000262071,0.00013824625,0.0069977394],"study_design_scores_gemma":[9.361977e-7,0.0000054817083,0.00026125705,4.7620614e-7,0.0000010730315,0.0000013802222,5.920222e-7,0.99934417,0.00030399472,0.00005331491,0.000026259406,0.0000011010588],"about_ca_topic_score_codex":0.022553291,"about_ca_topic_score_gemma":0.0172386,"teacher_disagreement_score":0.022553291,"about_ca_system_score_codex":0.0010701733,"about_ca_system_score_gemma":0.0011128326,"threshold_uncertainty_score":0.04484403},"labels":[],"label_agreement":null},{"id":"W1971701707","doi":"10.1016/s0007-8506(07)60631-3","title":"Design for Environment — Do We Get the Focus Right?","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":165,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Focus (optics); Product (mathematics); Hierarchy; Function (biology); Perspective (graphical); Process (computing); Design for the Environment; Computer science; Product lifecycle; Product design; Engineering; New product development; Manufacturing engineering; Systems engineering; Business; Mathematics; Artificial intelligence; Marketing; Economics","score_opus":0.08494395203702737,"score_gpt":0.26887319583031394,"score_spread":0.18392924379328657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971701707","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009820071,0.028594822,0.09812757,0.73690414,0.008991754,0.00010968701,0.00016886056,0.0012482093,0.11603489],"genre_scores_gemma":[0.55521387,0.033310182,0.098509476,0.20546778,0.0054757935,0.00047615252,0.00030052292,0.0043665925,0.09687967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9730521,0.014104113,0.0012230654,0.0022355043,0.006164078,0.0032211684],"domain_scores_gemma":[0.96010464,0.016351182,0.0018413991,0.0044038226,0.012145635,0.0051532327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032081377,0.0019631744,0.0017882386,0.002429811,0.010053185,0.021707442,0.003066239,0.0118978275,0.026489362],"category_scores_gemma":[0.052782215,0.0014606786,0.0008715098,0.0021531067,0.026826698,0.057461362,0.010044831,0.011625633,0.010809375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014182915,0.0002596139,0.003742648,0.0016707424,0.000109966444,0.00025878186,0.017069818,0.0010838239,0.0016107785,0.50890356,0.19584627,0.2693022],"study_design_scores_gemma":[0.000074055584,0.00021621367,0.0018430974,0.0022368557,0.000106788415,0.00036913852,0.023823675,0.0009026619,0.0015987306,0.32920966,0.6394716,0.00014748963],"about_ca_topic_score_codex":0.013968761,"about_ca_topic_score_gemma":0.014952246,"teacher_disagreement_score":0.032081377,"about_ca_system_score_codex":0.009493772,"about_ca_system_score_gemma":0.014119116,"threshold_uncertainty_score":0.16966456},"labels":[],"label_agreement":null},{"id":"W1978969242","doi":"10.1016/s0007-8506(07)60661-1","title":"A New Approach for Robust Design of Mechanical Systems","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":27,"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":"Axiomatic design; Axiom independence; Robustness (evolution); Probabilistic design; Product design; Independence (probability theory); Axiom; Computer science; Engineering design process; Iterative design; Product (mathematics); Control engineering; Industrial engineering; Systems engineering; Mathematical optimization; Engineering; Manufacturing engineering; Mathematics; Mechanical engineering","score_opus":0.10290849343624636,"score_gpt":0.2518521684327257,"score_spread":0.1489436749964793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978969242","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004089092,0.000059174665,0.9978668,0.000035729165,0.000031572763,0.0000135814,0.0000071052773,0.00007403382,0.0015031513],"genre_scores_gemma":[0.13431536,0.0006324055,0.85344154,0.00024000889,0.00025179784,0.0003542171,0.00010518953,0.00042976002,0.010229753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846774,0.00034553124,0.00008892741,0.00022807247,0.00080120435,0.00006853021],"domain_scores_gemma":[0.99898654,0.00038828552,0.00010172566,0.00020261823,0.00028918567,0.000031680924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015829636,0.0016711641,0.0013099462,0.0011484863,0.0006569824,0.001641582,0.0018421429,0.0015235186,0.0064085466],"category_scores_gemma":[0.0035767846,0.00095603475,0.001736559,0.00048658715,0.0012092021,0.0016156189,0.0023292545,0.0019642098,0.0017677248],"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":[0.00011847716,0.00008511288,0.00026160327,0.00040850087,0.00017922319,0.00019827174,0.00019657762,0.57790637,0.032068297,0.21042982,0.0026213625,0.17552634],"study_design_scores_gemma":[0.000028218492,0.00014619993,0.00007497604,0.000040645173,0.000055366276,0.00008565464,0.00001603607,0.9230298,0.0042344052,0.056771316,0.015490082,0.000027317352],"about_ca_topic_score_codex":0.0009808191,"about_ca_topic_score_gemma":0.0011351277,"teacher_disagreement_score":0.0064085466,"about_ca_system_score_codex":0.00064277893,"about_ca_system_score_gemma":0.00068992283,"threshold_uncertainty_score":0.021438718},"labels":[],"label_agreement":null},{"id":"W1980434336","doi":"10.1016/s0007-8506(07)60453-3","title":"Effect of Time-Based Parameters on the Agility of a Dynamic MPC System","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":18,"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","funders":"","keywords":"Scalability; Agile software development; Model predictive control; Engineering; Control engineering; Response time; Control (management); Control theory (sociology); Computer science","score_opus":0.009034376301644253,"score_gpt":0.2108496891133013,"score_spread":0.20181531281165704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980434336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823208,0.0003009053,0.012085659,0.00023540837,0.0000705455,0.000020869405,0.00012160409,0.0003434425,0.0045007514],"genre_scores_gemma":[0.99968064,0.000016838363,0.00016724008,0.000008298235,0.000002976828,0.0000024942403,0.000012915234,0.000012306432,0.0000962788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989532,0.00029423818,0.00006806495,0.00013124754,0.00015090244,0.00040229558],"domain_scores_gemma":[0.964635,0.030107206,0.0018482611,0.0011143927,0.0015914389,0.00070366357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023315018,0.0009207517,0.0008397391,0.00081049005,0.0006813097,0.0016218185,0.0004974496,0.0014771635,0.004068986],"category_scores_gemma":[0.020270431,0.00044501308,0.00046090173,0.0005126567,0.001199505,0.0015877994,0.00079322065,0.0016477964,0.00033051678],"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":[0.0036641043,0.00014916097,0.0038777206,0.00013333038,0.000074483585,0.00033183495,0.0001293407,0.9640015,0.016655877,0.0012248763,0.0002519694,0.009505863],"study_design_scores_gemma":[0.00014488581,0.0015657519,0.013576511,0.00005032756,0.00018800252,0.00019015225,0.0002858738,0.9388557,0.04278449,0.0018710024,0.00037104526,0.00011629318],"about_ca_topic_score_codex":0.0038574922,"about_ca_topic_score_gemma":0.0018380345,"teacher_disagreement_score":0.004068986,"about_ca_system_score_codex":0.0007754981,"about_ca_system_score_gemma":0.00064586254,"threshold_uncertainty_score":0.013612151},"labels":[],"label_agreement":null},{"id":"W1981069952","doi":"10.1016/j.cirp.2010.03.078","title":"Identification and modeling of process damping in turning and milling using a new approach","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":152,"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":"Pratt and Whitney Canada; National Science Foundation","keywords":"Process (computing); Machining; Stability (learning theory); Engineering; Identification (biology); Frequency domain; Time domain; Damping ratio; Limit (mathematics); Control theory (sociology); Structural engineering; Mechanical engineering; Computer science; Mathematics; Mathematical analysis; Vibration; Physics; Acoustics","score_opus":0.04914106596752228,"score_gpt":0.31335799546074783,"score_spread":0.26421692949322556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981069952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009394576,0.00013227182,0.98928726,0.000032840544,0.000026465468,0.000012809305,0.0000087227745,0.00006359134,0.001041487],"genre_scores_gemma":[0.8005751,0.00090903084,0.18891089,0.000084696054,0.000114083654,0.00021863855,0.0000847451,0.00009609483,0.009006843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.000045974088,0.000015301177,0.00005009504,0.000086669716,0.000019461067],"domain_scores_gemma":[0.99965453,0.00019340678,0.0000417827,0.00002841612,0.000069030335,0.00001277994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004774345,0.00084164774,0.000839078,0.00055708573,0.00037730325,0.0007877504,0.0009840211,0.0011239268,0.0010118406],"category_scores_gemma":[0.0010235333,0.0006015724,0.0009470513,0.00031287762,0.00061904726,0.0008594778,0.00076223793,0.000952669,0.00030958967],"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":[0.000028204322,0.00003692297,0.00027584375,0.00004657141,0.000039237897,0.000053922842,0.000056262645,0.97105116,0.006706171,0.005068651,0.000083692576,0.01655338],"study_design_scores_gemma":[0.0000017573817,0.000007396983,0.000038928374,0.0000011136464,0.0000035612525,0.0000046541536,0.0000019307413,0.9992894,0.0002030643,0.0003124049,0.00013390063,0.0000019055105],"about_ca_topic_score_codex":0.004822009,"about_ca_topic_score_gemma":0.0044764923,"teacher_disagreement_score":0.004822009,"about_ca_system_score_codex":0.0003662647,"about_ca_system_score_gemma":0.0004738979,"threshold_uncertainty_score":0.009587884},"labels":[],"label_agreement":null},{"id":"W1984202013","doi":"10.1016/s0007-8506(07)60032-8","title":"Chatter Stability of Metal Cutting and Grinding","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":827,"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":"Grinding; Machining; Time domain; Engineering; Vibration; Stability (learning theory); Frequency domain; Mechanical engineering; Process (computing); Point (geometry); Control theory (sociology); Control engineering; Computer science; Mathematics; Acoustics; Artificial intelligence","score_opus":0.027209787458202045,"score_gpt":0.2630359449672002,"score_spread":0.23582615750899813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984202013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7342082,0.0015599466,0.23220928,0.00069116306,0.00026003414,0.000049904316,0.00010744981,0.00030867718,0.03060532],"genre_scores_gemma":[0.98579305,0.00012278139,0.0049420376,0.00003251423,0.000042519852,0.000018637922,0.000036255162,0.00007166606,0.008940515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954575,0.00016832614,0.000015877096,0.0000820252,0.000114758135,0.00007330022],"domain_scores_gemma":[0.99482745,0.0031649107,0.000503749,0.00025712868,0.00085137907,0.0003953419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013412271,0.00051668775,0.0006444658,0.0012530348,0.0009093323,0.0010565127,0.00093019294,0.000993893,0.005241181],"category_scores_gemma":[0.00860787,0.0003468521,0.00043831565,0.00033076832,0.0019173943,0.0010886312,0.0010623732,0.0009908982,0.0004774855],"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":[0.0028491542,0.0002110239,0.004065899,0.00036056395,0.00012110481,0.0005809055,0.0010992122,0.37763754,0.07285042,0.5015017,0.0032374547,0.03548492],"study_design_scores_gemma":[0.000030754447,0.00010954104,0.0021799821,0.00001685899,0.000016465374,0.00008625182,0.00011736726,0.9486889,0.007970854,0.040265583,0.00047360512,0.000043842727],"about_ca_topic_score_codex":0.0031861905,"about_ca_topic_score_gemma":0.0024935151,"teacher_disagreement_score":0.005241181,"about_ca_system_score_codex":0.0008166852,"about_ca_system_score_gemma":0.00063052797,"threshold_uncertainty_score":0.01753354},"labels":[],"label_agreement":null},{"id":"W1984439717","doi":"10.1016/s0007-8506(07)60127-9","title":"Virtual Design and Optimization of Machine Tool Spindles","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","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 British Columbia","funders":"","keywords":"Machine tool; Engineering; Stiffness; Bearing (navigation); Finite element method; Structural engineering; Process (computing); Point (geometry); Mechanical engineering; Work (physics); Computer science; Geometry","score_opus":0.01880337815182132,"score_gpt":0.25396929762101267,"score_spread":0.23516591946919135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984439717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15496014,0.0005900724,0.8257308,0.00015863094,0.00014071062,0.00008787762,0.00006914605,0.00036549335,0.017897215],"genre_scores_gemma":[0.93091893,0.00022814266,0.06490681,0.000031396987,0.000023912758,0.00010363146,0.000065308195,0.00010186069,0.0036201354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997334,0.00009297464,0.000008375158,0.000027100394,0.00010448008,0.000033647182],"domain_scores_gemma":[0.9995204,0.00026487795,0.000057415193,0.00003162146,0.000095861644,0.000029740653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006428019,0.00056948623,0.00084774423,0.0006356969,0.0003355654,0.0011023686,0.0008366665,0.0007386788,0.00279711],"category_scores_gemma":[0.0016673545,0.0006486047,0.00060577714,0.000388198,0.0006237678,0.00053916377,0.0007437288,0.00038832368,0.00024668826],"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":[0.000057239078,0.000013348467,0.00012948178,0.00002831865,0.0000074520854,0.00001808745,0.000014014618,0.9857739,0.0010993164,0.0022950429,0.0001564454,0.01040722],"study_design_scores_gemma":[0.0000112963535,0.000059466296,0.00010040083,0.0000043526416,0.0000037851833,0.000008703693,0.000007740022,0.99762803,0.0004935381,0.0011023806,0.0005773631,0.0000029294824],"about_ca_topic_score_codex":0.0015905866,"about_ca_topic_score_gemma":0.0014708632,"teacher_disagreement_score":0.00279711,"about_ca_system_score_codex":0.0005299286,"about_ca_system_score_gemma":0.0007273663,"threshold_uncertainty_score":0.009357214},"labels":[],"label_agreement":null},{"id":"W1985266313","doi":"10.1016/s0007-8506(07)62079-4","title":"Design by Quality Product Digitization","year":2001,"lang":"en","type":"article","venue":"CIRP Annals","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":7,"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","funders":"","keywords":"Digitization; Compensation (psychology); Quality (philosophy); Product (mathematics); Computer science; Process (computing); Engineering drawing; Engineering design process; Reverse engineering; Representation (politics); Product design; Systems engineering; Engineering; Reliability engineering; Mechanical engineering; Computer vision; Mathematics","score_opus":0.13579580977026812,"score_gpt":0.3030487152168484,"score_spread":0.16725290544658028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985266313","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020268545,0.001893175,0.87311256,0.0017250727,0.0003032768,0.0006775638,0.00028181242,0.002149093,0.09958879],"genre_scores_gemma":[0.30426696,0.002592074,0.6342161,0.0009748067,0.00020875815,0.0006985124,0.0006125868,0.001893301,0.05453687],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9872022,0.0044706254,0.00075668417,0.001599969,0.00543036,0.00054006244],"domain_scores_gemma":[0.98274946,0.004590032,0.0012859738,0.0066020433,0.0043946533,0.00037776784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009267134,0.0011647319,0.0009055785,0.003940519,0.0011764949,0.008041856,0.0018830084,0.0014476363,0.029726008],"category_scores_gemma":[0.019179698,0.0011162838,0.0011393027,0.0032293578,0.0028391017,0.006476167,0.004477353,0.0012716346,0.0050874967],"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":[0.00023609327,0.00011389439,0.0033590843,0.0010004712,0.00012785553,0.000099766556,0.0011011807,0.02137278,0.009853078,0.23644093,0.012996002,0.71329886],"study_design_scores_gemma":[0.00035871216,0.001070832,0.009012387,0.0006690329,0.0005455709,0.001208776,0.0021133393,0.0794792,0.03836484,0.31138408,0.55564505,0.00014821155],"about_ca_topic_score_codex":0.002080816,"about_ca_topic_score_gemma":0.0027209194,"teacher_disagreement_score":0.029726008,"about_ca_system_score_codex":0.0030220437,"about_ca_system_score_gemma":0.002903873,"threshold_uncertainty_score":0.099443376},"labels":[],"label_agreement":null},{"id":"W1985875963","doi":"10.1016/j.cirp.2010.03.090","title":"Dynamic production control using a flow based formulation","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Production (economics); Context (archaeology); Flow (mathematics); Material flow; Conservation of mass; Workstation; Production control; Key (lock); Control theory (sociology); Control (management); Mass flow; Flow control (data); Computer science; Engineering; Industrial engineering; Mechanics; Mechanical engineering; Economics; Physics","score_opus":0.017434053149172558,"score_gpt":0.258836006008769,"score_spread":0.24140195285959642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985875963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003445796,0.00019131211,0.99068636,0.0002450303,0.000098408615,0.000049234655,0.0000707512,0.000080416954,0.005132645],"genre_scores_gemma":[0.68550676,0.0011430277,0.2890594,0.0003557211,0.00041771252,0.00065676315,0.00030547014,0.00022617071,0.02232893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995129,0.00017233143,0.000021757838,0.00010999234,0.00012485679,0.000058091824],"domain_scores_gemma":[0.9992861,0.0004678566,0.00006904906,0.000027988233,0.00011444759,0.000034518263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012672788,0.0012986097,0.0018522596,0.0008653137,0.00066805835,0.0023001574,0.0015367211,0.0018578679,0.007477916],"category_scores_gemma":[0.0020182857,0.0012907973,0.0009788027,0.0014082185,0.0009922581,0.002148614,0.0011198779,0.0014548822,0.00050843484],"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":[0.000013630322,0.00002113277,0.000023685261,0.000026873926,0.0000079444335,0.000016168666,0.000007631719,0.98582596,0.00022179811,0.008507391,0.00035683665,0.0049709138],"study_design_scores_gemma":[0.0000057185634,0.000010652754,0.000012228488,0.000002818223,0.0000029618327,0.0000025029915,0.0000015571485,0.99708956,0.00005097182,0.0026083277,0.0002106621,0.000002038509],"about_ca_topic_score_codex":0.00836393,"about_ca_topic_score_gemma":0.0054472284,"teacher_disagreement_score":0.00836393,"about_ca_system_score_codex":0.0015193267,"about_ca_system_score_gemma":0.0015340742,"threshold_uncertainty_score":0.02501607},"labels":[],"label_agreement":null},{"id":"W1986976726","doi":"10.1016/s0007-8506(07)60613-1","title":"Computer-Aided Planning of Laser Scanning of Complex Geometries","year":2003,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Industrial Vision Systems and Defect Detection","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":"University of Windsor","funders":"","keywords":"Laser scanning; CAD; Visibility; Plan (archaeology); Scanner; Computer Aided Design; Computer science; Motion planning; Computer-aided; Artificial intelligence; Computer vision; Engineering drawing; Laser; Engineering; Optics; Robot","score_opus":0.0936967195489951,"score_gpt":0.29428390584758646,"score_spread":0.20058718629859135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986976726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054290846,0.00034046566,0.94114995,0.000074822485,0.000015591124,0.00012203403,0.00013058448,0.0013123931,0.002563307],"genre_scores_gemma":[0.4100912,0.00036586623,0.58719486,0.000022172027,0.000007901474,0.00016598158,0.00018911615,0.00015580382,0.0018071424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959296,0.000114583876,0.000020554025,0.000064902844,0.00017425843,0.000032912496],"domain_scores_gemma":[0.9987123,0.0009569033,0.000079827434,0.00011505887,0.000106086096,0.000029839004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056188693,0.0006718122,0.00073036,0.000914381,0.00050265784,0.0009233583,0.00076730666,0.0007931439,0.002518889],"category_scores_gemma":[0.0019709957,0.00089738896,0.0005766263,0.0008194638,0.00070607883,0.0007270739,0.00073051767,0.0006078873,0.00041348615],"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":[0.0002910768,0.00007064706,0.0010368938,0.00019064521,0.000039555776,0.00027753745,0.00035547497,0.7777688,0.029131273,0.008392643,0.0019723182,0.18047325],"study_design_scores_gemma":[0.000015516278,0.000043511707,0.00047799223,0.000012349674,0.000008560931,0.00016906479,0.00003798812,0.98377466,0.011303981,0.0025597196,0.0015801123,0.000016662705],"about_ca_topic_score_codex":0.007660508,"about_ca_topic_score_gemma":0.015919438,"teacher_disagreement_score":0.007660508,"about_ca_system_score_codex":0.0006878853,"about_ca_system_score_gemma":0.00202219,"threshold_uncertainty_score":0.015231848},"labels":[],"label_agreement":null},{"id":"W1988432395","doi":"10.1016/j.cirp.2009.03.121","title":"Pneumatic non-contact roughness assessment of moving surfaces","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":31,"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; Alexander von Humboldt-Stiftung","keywords":"Nozzle; Machining; Surface roughness; Surface finish; Materials science; Jet (fluid); Impervious surface; Mechanical engineering; Acoustics; Engineering; Composite material; Aerospace engineering; Physics","score_opus":0.034796311154993105,"score_gpt":0.34498805556611695,"score_spread":0.31019174441112385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988432395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9112854,0.00032371277,0.08567778,0.00003743618,0.00003796553,0.000049954982,0.00011022388,0.00022048803,0.0022571278],"genre_scores_gemma":[0.9907708,0.000087733475,0.008292493,0.000010555144,0.0000080739,0.0000095514515,0.00006921444,0.000012829909,0.00073876884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995407,0.000057398014,0.000013388621,0.000055595046,0.00030190937,0.000031109917],"domain_scores_gemma":[0.99940526,0.0002566113,0.00005892448,0.000081776096,0.00017006323,0.000027333681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031715393,0.00028149277,0.00031083325,0.0005056681,0.00014444871,0.00039086535,0.00038235696,0.00047523918,0.0011095289],"category_scores_gemma":[0.0011068485,0.00019445182,0.0002135279,0.00027481312,0.00020197127,0.0005191198,0.00035526752,0.00025834463,0.00023736806],"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":[0.0007566043,0.00014809567,0.010671241,0.0002796049,0.000042884563,0.00022552215,0.00017717193,0.02067427,0.81961507,0.00035389085,0.0005743339,0.14648123],"study_design_scores_gemma":[0.000037444926,0.0012491789,0.13535433,0.000016619366,0.000058960788,0.00077925506,0.00031473133,0.5807051,0.2794042,0.0005543935,0.0014522873,0.00007361459],"about_ca_topic_score_codex":0.00071218534,"about_ca_topic_score_gemma":0.0013848257,"teacher_disagreement_score":0.0011095289,"about_ca_system_score_codex":0.00014370355,"about_ca_system_score_gemma":0.00014285663,"threshold_uncertainty_score":0.00371176},"labels":[],"label_agreement":null},{"id":"W1988586182","doi":"10.1016/j.cirp.2015.04.107","title":"Magnetically levitated six degree of freedom rotary table","year":2015,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Surface Polishing Techniques","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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rotary encoder; Stator; Levitation; Magnet; Capacitive sensing; Electromagnetic coil; Actuator; Magnetic levitation; Encoder; Acoustics; Voice coil; Position (finance); Table (database); Physics; Electrical engineering; Control theory (sociology); Mechanical engineering; Engineering; Computer science; Artificial intelligence","score_opus":0.08780398658780032,"score_gpt":0.29135519211753197,"score_spread":0.20355120552973166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988586182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5487026,0.0008272524,0.37971288,0.0007727396,0.0009842954,0.00022559275,0.0006474831,0.0030761815,0.0650509],"genre_scores_gemma":[0.9097318,0.00011905614,0.068583176,0.00006812476,0.00007097359,0.00006128783,0.00023075011,0.00007112076,0.021063685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997099,0.000029719637,0.000017895438,0.00005608409,0.0001459449,0.000040449475],"domain_scores_gemma":[0.9997689,0.000045932265,0.00004194531,0.000050394123,0.000057807953,0.00003501795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015231119,0.00036951972,0.00031806444,0.0002681981,0.00050864136,0.00051746896,0.00076717976,0.00039483412,0.007685633],"category_scores_gemma":[0.00034099453,0.00020374339,0.0002053066,0.00020654908,0.0002960234,0.00048811856,0.0008790302,0.00041603675,0.002298405],"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":[0.0011901687,0.00008595204,0.0013051222,0.00029882626,0.000028850573,0.0006599879,0.0002443698,0.004776111,0.8737674,0.006529222,0.0038531083,0.1072609],"study_design_scores_gemma":[0.00035948004,0.004765681,0.01547866,0.00009729199,0.00013612909,0.0051647546,0.0006402548,0.1233373,0.7482002,0.0031992276,0.09834838,0.0002726821],"about_ca_topic_score_codex":0.00032558915,"about_ca_topic_score_gemma":0.0006133272,"teacher_disagreement_score":0.007685633,"about_ca_system_score_codex":0.00018887813,"about_ca_system_score_gemma":0.00038566007,"threshold_uncertainty_score":0.025711},"labels":[],"label_agreement":null},{"id":"W1989320863","doi":"10.1016/j.cirp.2010.03.093","title":"Laser-assisted high-speed finish turning of superalloy Inconel 718 under dry conditions","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":172,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Inconel; Machinability; Superalloy; Materials science; Machining; Microstructure; Metallurgy; Ceramic; Surface roughness; Surface integrity; Laser; Surface finish; Alloy; Composite material; Optics","score_opus":0.017203080596755793,"score_gpt":0.26890311969673736,"score_spread":0.25170003909998157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989320863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996732,0.00021938318,0.0011982371,0.000015002316,0.000019088928,0.0000083774285,0.00011211292,0.000055568133,0.0016402117],"genre_scores_gemma":[0.9954833,0.00009776383,0.0024096102,0.000004513041,0.0000046052796,0.0000071359877,0.0001557886,0.000024315297,0.0018128948],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998584,0.000007767763,0.0000048469897,0.00002427381,0.000061032973,0.000043679236],"domain_scores_gemma":[0.9998958,0.00002690387,0.000024640676,0.000018243694,0.000023895002,0.000010523346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001771526,0.00022331011,0.0004137016,0.00026824514,0.00034461985,0.0003201908,0.00025825473,0.00029472355,0.0016351568],"category_scores_gemma":[0.00019671443,0.00016974288,0.00017660094,0.0002753723,0.00022550728,0.00026169783,0.00016445604,0.00026327046,0.00023449575],"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":[0.00024384755,0.000016637056,0.00022069427,0.00007492865,0.000005181602,0.000073123505,0.00007657747,0.00067025254,0.9955426,0.00012425413,0.0001582471,0.00279365],"study_design_scores_gemma":[0.00004934371,0.00049156055,0.0059755743,0.0000058957676,0.000014032732,0.00010766788,0.00010962394,0.004192418,0.9868721,0.000068349815,0.0020947831,0.000018837169],"about_ca_topic_score_codex":0.0018525223,"about_ca_topic_score_gemma":0.00414348,"teacher_disagreement_score":0.0018525223,"about_ca_system_score_codex":0.00019769538,"about_ca_system_score_gemma":0.00036933183,"threshold_uncertainty_score":0.0054701567},"labels":[],"label_agreement":null},{"id":"W1989455285","doi":"10.1016/j.cirp.2011.06.001","title":"Biologically inspired design","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Design Education and Practice","field":"Engineering","cited_by":225,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biomimetics; Computer science; Engineering; Management science; Artificial intelligence","score_opus":0.3130017630748836,"score_gpt":0.3018537474108184,"score_spread":0.011148015664065203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989455285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02734035,0.0021262032,0.80026114,0.0016271024,0.00078082585,0.00014168977,0.00014621997,0.00058781507,0.16698863],"genre_scores_gemma":[0.55365986,0.0025448757,0.33366236,0.00077159295,0.00018878444,0.00047225945,0.00030824638,0.00025009687,0.108141944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998234,0.000046955785,0.0000073761403,0.00004117299,0.00006817402,0.0000129693535],"domain_scores_gemma":[0.9998272,0.000065458415,0.000014039527,0.00004684665,0.000029496992,0.000017045586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002742224,0.0004645581,0.00037150033,0.00049954787,0.00056801556,0.0010879159,0.00059778075,0.0011498065,0.0098476475],"category_scores_gemma":[0.0007472521,0.00028387987,0.0005879256,0.00030857892,0.0011701939,0.0006459268,0.0009810457,0.00085845386,0.0016214787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000497025,0.00008252899,0.00089788664,0.00034110172,0.00007646132,0.00019710149,0.00030402627,0.2089772,0.037622206,0.585532,0.00752214,0.15839764],"study_design_scores_gemma":[0.000063838736,0.00022741221,0.0010669408,0.00014755051,0.00005200248,0.0004902314,0.0001344074,0.4635137,0.011501387,0.36166933,0.16106677,0.00006646513],"about_ca_topic_score_codex":0.00065249583,"about_ca_topic_score_gemma":0.0008072663,"teacher_disagreement_score":0.0098476475,"about_ca_system_score_codex":0.0008085342,"about_ca_system_score_gemma":0.0005931428,"threshold_uncertainty_score":0.032943666},"labels":[],"label_agreement":null},{"id":"W1992250505","doi":"10.1016/j.cirp.2009.03.045","title":"Dynamic stiffness enhancement of direct-driven machine tools using sliding mode control with disturbance recovery","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","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":"University of British Columbia","funders":"","keywords":"Control theory (sociology); Sliding mode control; Bandwidth (computing); Stiffness; Linear motor; Disturbance (geology); Controller (irrigation); Engineering; Machine tool; Control engineering; Computer science; Control (management); Nonlinear system; Structural engineering; Physics; Mechanical engineering; Artificial intelligence","score_opus":0.01634825091425931,"score_gpt":0.2590745574551314,"score_spread":0.2427263065408721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992250505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17410046,0.00047410539,0.8157183,0.00010799257,0.00008423144,0.000041247928,0.00002045585,0.0005667382,0.008886603],"genre_scores_gemma":[0.9673807,0.00009285108,0.03002798,0.000014572635,0.000011442371,0.00001545288,0.000014439648,0.000026744476,0.0024158238],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998274,0.000029079985,0.000008307419,0.000024959852,0.000093549614,0.00001664409],"domain_scores_gemma":[0.99957937,0.00016311715,0.000049841754,0.000085673695,0.00010396199,0.000018107834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002671311,0.00035097005,0.00032357528,0.00027453815,0.00019980893,0.00044580916,0.00045842564,0.00030996648,0.002049046],"category_scores_gemma":[0.0008219449,0.00017767416,0.00019741699,0.00019816737,0.00035477406,0.0006093433,0.0006841267,0.0002692855,0.00026919926],"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":[0.0007967014,0.00022183293,0.0010333062,0.0005764586,0.000048258873,0.00027700467,0.0002435831,0.21216595,0.44269556,0.007835352,0.0008744901,0.3332315],"study_design_scores_gemma":[0.000046254787,0.0007040094,0.0014567797,0.000024488869,0.00002654133,0.00021685666,0.000048867932,0.8949307,0.09659248,0.002337579,0.0035849118,0.000030509345],"about_ca_topic_score_codex":0.0002774037,"about_ca_topic_score_gemma":0.00051356986,"teacher_disagreement_score":0.002049046,"about_ca_system_score_codex":0.00010942299,"about_ca_system_score_gemma":0.00018396796,"threshold_uncertainty_score":0.0068547726},"labels":[],"label_agreement":null},{"id":"W1992839557","doi":"10.1016/s0007-8506(07)61495-4","title":"Fabrication of Biomedical Prototypes with Locally Controlled Properties Using FDM","year":2002,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":61,"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":"Fabrication; Fused deposition modeling; Machining; Void (composites); Materials science; Mechanical engineering; Deposition (geology); 3D printing; Engineering drawing; Computer science; Composite material; Engineering","score_opus":0.05567274281876481,"score_gpt":0.2372276711357861,"score_spread":0.1815549283170213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992839557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8052468,0.003221744,0.18020245,0.00051399163,0.00081411464,0.00037461752,0.0004312845,0.0016188733,0.0075761867],"genre_scores_gemma":[0.8656697,0.00057798356,0.1283885,0.00010286789,0.000047748494,0.00028819544,0.000147386,0.00014132737,0.0046361303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996176,0.000043099742,0.000032075717,0.00009134315,0.00014458549,0.00007137147],"domain_scores_gemma":[0.99885654,0.0004099734,0.00021291079,0.00030847295,0.00015363068,0.000058486457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090562465,0.00050623814,0.00069198787,0.00034209443,0.0003036521,0.00072516326,0.000748397,0.0009509221,0.0016461146],"category_scores_gemma":[0.0012505684,0.0005207704,0.0004392861,0.00022042742,0.0006300891,0.0007048582,0.00050173234,0.00062350207,0.000605612],"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":[0.0000745073,0.000023302548,0.0000523815,0.00015354401,0.0000057055213,0.00008979705,0.00008334433,0.0003649429,0.99345785,0.00048466228,0.0001297579,0.005080203],"study_design_scores_gemma":[0.00003089303,0.0002856347,0.0004943634,0.000010592827,0.000012579461,0.00016527154,0.000021322483,0.0015635384,0.99385095,0.00013295628,0.0034148311,0.000017015433],"about_ca_topic_score_codex":0.0001725727,"about_ca_topic_score_gemma":0.00023553813,"teacher_disagreement_score":0.0016461146,"about_ca_system_score_codex":0.00047585092,"about_ca_system_score_gemma":0.0002402962,"threshold_uncertainty_score":0.005506754},"labels":[],"label_agreement":null},{"id":"W1995673330","doi":"10.1016/j.cirp.2010.03.016","title":"Single point incremental forming at high feed rates and rotational speeds: Surface and structural consequences","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface roughness; Materials science; Single point; Surface finish; Microstructure; Rotational speed; Composite material; Grain size; Geometry; Metallurgy; Mechanics; Mathematics; Mechanical engineering; Engineering; Physics; Computer simulation","score_opus":0.0293293735502752,"score_gpt":0.28392055034867575,"score_spread":0.25459117679840054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995673330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9047266,0.00032122876,0.08212235,0.00034013158,0.000062355524,0.000027289085,0.00003645976,0.00036316703,0.012000473],"genre_scores_gemma":[0.99454725,0.0001027648,0.004557998,0.000012515471,0.000007062945,0.000005712159,0.000012133581,0.00003294505,0.0007216434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997553,0.00005713059,0.0000067813553,0.000027016758,0.00011643475,0.00003723782],"domain_scores_gemma":[0.9985494,0.0009422287,0.00013241425,0.0001718792,0.00016745982,0.000036670375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044987086,0.00030308953,0.0005313131,0.0003327324,0.00042682263,0.0007543629,0.00062658073,0.0010889481,0.0023063603],"category_scores_gemma":[0.003971138,0.00041953608,0.00026541066,0.0004456651,0.0010659914,0.0008864373,0.0004968577,0.0005589174,0.0002488602],"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":[0.00066555076,0.00013881731,0.0049301656,0.00017945595,0.000026893898,0.00054328365,0.00040065608,0.8278165,0.07553819,0.04352134,0.0008853423,0.045353718],"study_design_scores_gemma":[0.00003586713,0.00013637751,0.002499872,0.000008356837,0.000015081591,0.00028996338,0.00011854583,0.9629589,0.024495395,0.008948307,0.00047447285,0.000019020425],"about_ca_topic_score_codex":0.0006021658,"about_ca_topic_score_gemma":0.00091134594,"teacher_disagreement_score":0.0023063603,"about_ca_system_score_codex":0.00021141313,"about_ca_system_score_gemma":0.0002209836,"threshold_uncertainty_score":0.007715583},"labels":[],"label_agreement":null},{"id":"W1997403214","doi":"10.1016/j.cirp.2015.04.074","title":"Prediction and control of drilling-induced damage in fibre-reinforced polymers using a new hybrid force and temperature modelling approach","year":2015,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Delamination (geology); Drilling; Fibre-reinforced plastic; Transient (computer programming); Materials science; Thermal; Structural engineering; Mechanical engineering; Composite material; Computer science; Engineering; Geology","score_opus":0.04729463938534048,"score_gpt":0.24715489270088586,"score_spread":0.19986025331554538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997403214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37937623,0.00048572724,0.6152411,0.00021480175,0.000077283694,0.00006266908,0.00006496617,0.0003285937,0.0041486337],"genre_scores_gemma":[0.9831629,0.0001159428,0.015080805,0.000015658652,0.000013121556,0.000045610606,0.00002858769,0.00002352535,0.0015138971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988997,0.00002551846,0.000006069298,0.000024323288,0.00003468601,0.000019458166],"domain_scores_gemma":[0.99949074,0.00031257546,0.00007827417,0.000022853106,0.00007206973,0.000023398376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041846005,0.00070760155,0.00068270264,0.00030354242,0.00032208808,0.0006053379,0.00053820974,0.0011815075,0.000677683],"category_scores_gemma":[0.0008035968,0.00054462167,0.00062689226,0.00018814782,0.0005973547,0.00057716767,0.00049006334,0.00063433946,0.00010877538],"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":[0.000014519144,0.000015238776,0.0001490767,0.0000111264835,0.0000054652855,0.000010413281,0.000008128641,0.99557894,0.0021322556,0.00021988236,0.000021836991,0.0018330322],"study_design_scores_gemma":[0.0000012185048,0.0000068691897,0.000047728852,4.901234e-7,9.367484e-7,0.0000010254637,7.1930947e-7,0.9996698,0.00022251115,0.000035344205,0.00001230928,0.0000010511956],"about_ca_topic_score_codex":0.01058661,"about_ca_topic_score_gemma":0.0071469527,"teacher_disagreement_score":0.01058661,"about_ca_system_score_codex":0.0004434344,"about_ca_system_score_gemma":0.0006495382,"threshold_uncertainty_score":0.021049976},"labels":[],"label_agreement":null},{"id":"W1999616806","doi":"10.1016/j.cirp.2007.05.087","title":"Compensation of Axial Vibrations in Ball Screw Drives","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":76,"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":"Ball screw; Traverse; Control theory (sociology); Vibration; Ball (mathematics); Machine tool; Acceleration; Compensation (psychology); Engineering; Machining; Actuator; Feed forward; Mechanical engineering; Computer science; Control engineering; Physics; Acoustics; Mathematics; Classical mechanics; Control (management); Artificial intelligence","score_opus":0.02125947710246132,"score_gpt":0.26927174272142085,"score_spread":0.24801226561895953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999616806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15346338,0.00079278665,0.83721435,0.00025734626,0.00014688508,0.00002978766,0.000018914301,0.0003334896,0.007743032],"genre_scores_gemma":[0.9776177,0.0001464478,0.019315753,0.000023681412,0.000025365945,0.000012356328,0.000014183876,0.000020570413,0.0028239135],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997873,0.000053354936,0.000008661464,0.00002495345,0.00010484076,0.000020889987],"domain_scores_gemma":[0.9996623,0.00015203856,0.000047104248,0.000022605971,0.00009980903,0.00001617378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002859898,0.00029500158,0.0002773532,0.00019516321,0.00024762424,0.00039698312,0.00032053931,0.0004607824,0.0012580875],"category_scores_gemma":[0.0016091282,0.00011821349,0.000116652074,0.00020154037,0.00031446974,0.00025422015,0.00031656938,0.0002820427,0.00019920782],"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":[0.0012654363,0.00013595824,0.002028578,0.0003545744,0.00004480986,0.00021753453,0.00045165297,0.32342216,0.15013993,0.023569066,0.0027829048,0.4955873],"study_design_scores_gemma":[0.000029512863,0.00024104302,0.0011823708,0.00002001434,0.000012252549,0.00014888843,0.000059414644,0.9730033,0.017626299,0.0054974863,0.0021667012,0.00001273416],"about_ca_topic_score_codex":0.0012956163,"about_ca_topic_score_gemma":0.0013274148,"teacher_disagreement_score":0.0012956163,"about_ca_system_score_codex":0.00013696359,"about_ca_system_score_gemma":0.0002603182,"threshold_uncertainty_score":0.004208684},"labels":[],"label_agreement":null},{"id":"W2000003935","doi":"10.1016/j.cirp.2007.05.079","title":"Power and Wheel Wear for Grinding Nickel Alloy with Plated CBN Wheels","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Grinding; Materials science; Grinding wheel; Metallurgy; Abrasive; Alloy; Electroplating; Layer (electronics); Composite material","score_opus":0.013494915803328534,"score_gpt":0.2596897788980951,"score_spread":0.24619486309476654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000003935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960587,0.0001947077,0.0025468206,0.000013128757,0.000010191636,0.0000066657717,0.00004281176,0.000030113333,0.0010968652],"genre_scores_gemma":[0.99783957,0.000037070604,0.00055100594,0.0000015704579,0.0000010712891,0.0000018018548,0.000031679665,0.000015558227,0.0015205508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996382,0.000028503973,0.00001566791,0.00004362624,0.00020453401,0.00006955634],"domain_scores_gemma":[0.9986563,0.0005836606,0.00013570988,0.0001922793,0.0003862392,0.000045832345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929744,0.0002361509,0.00050336553,0.000623544,0.0005571268,0.0005506712,0.00062237727,0.0003664505,0.0022753738],"category_scores_gemma":[0.0022877979,0.00030272626,0.0003880402,0.0003362667,0.00049792277,0.00053546246,0.00035115526,0.0002483108,0.0003198253],"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":[0.00455764,0.00022351235,0.03569261,0.00049920747,0.00009397474,0.0006223501,0.001017117,0.08773116,0.78724444,0.0016782584,0.0008396127,0.079800144],"study_design_scores_gemma":[0.000061461666,0.0020500426,0.14837418,0.000029358585,0.00012562236,0.0005965879,0.000919959,0.21760428,0.62591,0.0010648858,0.0031793464,0.00008433581],"about_ca_topic_score_codex":0.0065792236,"about_ca_topic_score_gemma":0.0153513225,"teacher_disagreement_score":0.0065792236,"about_ca_system_score_codex":0.00094935636,"about_ca_system_score_gemma":0.00037637728,"threshold_uncertainty_score":0.013081849},"labels":[],"label_agreement":null},{"id":"W2000250033","doi":"10.1016/s0007-8506(07)60726-4","title":"Assessment of Manufacturing Operational Complexity","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":106,"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","funders":"","keywords":"Complexity management; Process (computing); Computer science; Task (project management); Focus (optics); Product (mathematics); Manufacturing engineering; Order (exchange); Systems engineering; Engineering; Industrial engineering","score_opus":0.06377771236597907,"score_gpt":0.29229317618574857,"score_spread":0.2285154638197695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000250033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613832,0.00022249101,0.020751284,0.00016760599,0.000010799511,0.00006807273,0.0004524067,0.00006609323,0.016878102],"genre_scores_gemma":[0.9951662,0.000048461585,0.0041647814,0.000005581063,0.00000884802,0.000013864418,0.00019133909,0.000006817758,0.00039409156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736184,0.00067911914,0.00014201374,0.00016110907,0.0014961374,0.00015985439],"domain_scores_gemma":[0.98474425,0.009679906,0.0018950943,0.0009998938,0.0020893177,0.0005915354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015705043,0.000489316,0.0003080795,0.0051222173,0.0004016152,0.0018760506,0.0003731629,0.00039779834,0.0036651846],"category_scores_gemma":[0.016477408,0.0001912815,0.00068012706,0.0024089506,0.0005343854,0.0019879548,0.0011546237,0.00043383907,0.0002912498],"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":[0.0011265931,0.00045654026,0.5332504,0.0002686292,0.0004917892,0.000629182,0.0015247812,0.17963535,0.013829291,0.031121952,0.0017257459,0.23593977],"study_design_scores_gemma":[0.000033988035,0.001010297,0.57040054,0.000078333105,0.00014210914,0.00090721535,0.0025980298,0.39294973,0.005109198,0.022894163,0.0037790262,0.000097433964],"about_ca_topic_score_codex":0.0018652625,"about_ca_topic_score_gemma":0.0022865639,"teacher_disagreement_score":0.0051222173,"about_ca_system_score_codex":0.0011130472,"about_ca_system_score_gemma":0.00067345006,"threshold_uncertainty_score":0.0122612715},"labels":[],"label_agreement":null},{"id":"W2000443461","doi":"10.1016/s0007-8506(07)60407-7","title":"Single Point Incremental Forming and the Forming Criteria for AA3003","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Atsumi International Scholarship Foundation; U.S. Department of Energy","keywords":"Formability; Sheet metal; Incremental sheet forming; Forming processes; Single point; Point (geometry); Mechanical engineering; Computer science; Structural engineering; Engineering drawing; Engineering; Mathematics; Materials science; Manufacturing engineering; Metallurgy; Geometry","score_opus":0.038192883426387526,"score_gpt":0.29426770367269756,"score_spread":0.25607482024631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000443461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09719615,0.00023185347,0.85377,0.00020545,0.000048844002,0.000075320066,0.0000695028,0.00024884785,0.04815398],"genre_scores_gemma":[0.84244263,0.00016193562,0.14551687,0.000029763378,0.000013323274,0.000045073346,0.000099477584,0.00013923718,0.011551764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99958664,0.00010376396,0.00001797406,0.000037629194,0.00022394126,0.000030064075],"domain_scores_gemma":[0.999355,0.0003110288,0.000043412456,0.000045909834,0.0002187084,0.00002589526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000638763,0.00033735475,0.0004271633,0.0006208266,0.00044140455,0.0009213428,0.0006052396,0.00056377717,0.0045599667],"category_scores_gemma":[0.002924975,0.00020512089,0.00032816196,0.00055175193,0.0006176617,0.00062683725,0.00050072686,0.0005003082,0.00043547302],"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":[0.000120031094,0.00004036851,0.0010664974,0.00007662234,0.000008143421,0.000113420225,0.00016255514,0.7336291,0.009811116,0.1861904,0.001696358,0.06708536],"study_design_scores_gemma":[0.0000042138163,0.000028412584,0.00017923414,0.000005507143,0.0000020789262,0.00005091913,0.000023422786,0.9835685,0.0022288389,0.012406646,0.001494879,0.0000072304815],"about_ca_topic_score_codex":0.005876482,"about_ca_topic_score_gemma":0.005476326,"teacher_disagreement_score":0.005876482,"about_ca_system_score_codex":0.000626028,"about_ca_system_score_gemma":0.0008100611,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2001756720","doi":"10.1016/j.cirp.2007.05.119","title":"Self-Calibration of On-Axis Rotary Encoders","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":38,"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":"Calibration; Encoder; Rotation (mathematics); Rotary encoder; Repeatability; Computer science; Screw axis; Computer vision; Physics; Engineering; Mathematics; Mechanical engineering","score_opus":0.031734341159634756,"score_gpt":0.2781400555602398,"score_spread":0.24640571440060505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001756720","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37120754,0.0014579989,0.5933149,0.00027665147,0.00070878176,0.00022389181,0.0003620134,0.0048587495,0.027589563],"genre_scores_gemma":[0.87026095,0.0003875258,0.1210843,0.00013390751,0.00008363145,0.000055670556,0.00033065508,0.00043815942,0.007225302],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99588424,0.0007571136,0.00012917006,0.0005931355,0.0024226133,0.00021369825],"domain_scores_gemma":[0.9944628,0.0012151867,0.0005212207,0.0014665701,0.0022187938,0.00011539092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017492549,0.00087982626,0.0007694242,0.0011879988,0.0007265443,0.0016676767,0.0011638696,0.0011253002,0.0038119254],"category_scores_gemma":[0.008971818,0.0005694105,0.0002664385,0.0012432217,0.00048772624,0.0013426566,0.001466584,0.00078055635,0.0012769288],"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":[0.0012551079,0.00024695482,0.016350692,0.00053152017,0.000088074186,0.00019264086,0.0011817801,0.016216831,0.31737125,0.00709591,0.0054343613,0.6340348],"study_design_scores_gemma":[0.00014500813,0.00091766997,0.053939797,0.00023900506,0.00016309862,0.0023374178,0.0005978225,0.15911973,0.72381216,0.003776184,0.054751698,0.0002004103],"about_ca_topic_score_codex":0.001238916,"about_ca_topic_score_gemma":0.0020824466,"teacher_disagreement_score":0.0038119254,"about_ca_system_score_codex":0.00057792594,"about_ca_system_score_gemma":0.0009979279,"threshold_uncertainty_score":0.012752175},"labels":[],"label_agreement":null},{"id":"W2002674878","doi":"10.1016/j.cirp.2013.03.015","title":"Six-axis position measurement system for levitated motion stages","year":2013,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":12,"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":"Position (finance); Motion (physics); Physics; Engineering; Computer science; Mechanical engineering; Classical mechanics","score_opus":0.06074092662503983,"score_gpt":0.2683500046356955,"score_spread":0.2076090780106557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002674878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16571829,0.00064250344,0.808251,0.00055094087,0.00054946326,0.0006987218,0.0017282402,0.009314748,0.012546049],"genre_scores_gemma":[0.6511842,0.0003157146,0.32809186,0.0002715531,0.00011906203,0.00043484868,0.0016532083,0.00022557587,0.017704003],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99826765,0.00019555083,0.00012166102,0.00027579823,0.0010462475,0.00009307556],"domain_scores_gemma":[0.9978523,0.00015502717,0.00020294367,0.00031572592,0.0013243804,0.00014962601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010035024,0.0008249945,0.00077987753,0.0010844743,0.0010657451,0.0009282809,0.0018459468,0.0009818869,0.010662265],"category_scores_gemma":[0.001469783,0.00044864562,0.00028622412,0.00097061717,0.00034597793,0.001238746,0.001339524,0.0009094718,0.0034564442],"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":[0.0013014445,0.00017932506,0.0065952893,0.00044538095,0.00006019947,0.00017941897,0.0005328858,0.0019254584,0.78251356,0.0032935338,0.007054025,0.19591948],"study_design_scores_gemma":[0.00028872897,0.0033266637,0.032769945,0.00011867723,0.00021188206,0.0015331728,0.00037856735,0.091823034,0.8052751,0.0012408028,0.06266179,0.00037159247],"about_ca_topic_score_codex":0.0014783301,"about_ca_topic_score_gemma":0.0020208335,"teacher_disagreement_score":0.010662265,"about_ca_system_score_codex":0.00059628615,"about_ca_system_score_gemma":0.0016837737,"threshold_uncertainty_score":0.03566879},"labels":[],"label_agreement":null},{"id":"W2003751129","doi":"10.1016/j.cirp.2007.05.064","title":"Forming Limit Curves in Single Point Incremental Forming","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Incremental sheet forming; Limit (mathematics); Forming processes; Sheet metal; Single point; Work (physics); Point (geometry); Process (computing); Box–Behnken design; Materials science; Mathematics; Engineering drawing; Mechanical engineering; Computer science; Engineering; Geometry; Mathematical analysis; Composite material; Response surface methodology; Statistics","score_opus":0.05327272837526878,"score_gpt":0.3008652045123446,"score_spread":0.24759247613707583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003751129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19849516,0.00039386502,0.75092554,0.00018449109,0.00004121023,0.000086737324,0.00004358828,0.00037159096,0.049457826],"genre_scores_gemma":[0.9180956,0.000405947,0.06322052,0.000036585894,0.000013780975,0.000079786885,0.00004635125,0.00019275854,0.01790873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995146,0.00014548951,0.00001985446,0.000046453908,0.00023651432,0.00003704985],"domain_scores_gemma":[0.99846387,0.0009838623,0.000116682364,0.00016051433,0.00020288318,0.000072148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088047964,0.00043734588,0.0005670454,0.0011773104,0.0006071951,0.0011876221,0.0009558002,0.0011128533,0.0045295455],"category_scores_gemma":[0.0061969794,0.0004897229,0.0004618695,0.00084572606,0.0017067915,0.0018463562,0.0015931595,0.0008599615,0.0005615148],"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":[0.000109831104,0.00005735756,0.00089413783,0.00008617142,0.00001313904,0.00018028893,0.0005012056,0.5458065,0.005688722,0.40985778,0.0006693157,0.036135517],"study_design_scores_gemma":[0.000007989581,0.00003177634,0.00012690623,0.000014625697,0.000003801946,0.00011328577,0.000039383027,0.9380667,0.0028584339,0.057507556,0.0012193233,0.000010219969],"about_ca_topic_score_codex":0.0022369844,"about_ca_topic_score_gemma":0.0011498492,"teacher_disagreement_score":0.0045295455,"about_ca_system_score_codex":0.0008251687,"about_ca_system_score_gemma":0.00046774678,"threshold_uncertainty_score":0.015152812},"labels":[],"label_agreement":null},{"id":"W2007519125","doi":"10.1016/j.cirp.2007.05.112","title":"Mathematical Modeling for Reconfigurable Process Planning","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":127,"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","funders":"","keywords":"Control reconfiguration; Flexibility (engineering); Process (computing); Scope (computer science); Computer science; Benchmark (surveying); Adaptability; Plan (archaeology); Process capability index; Mathematical optimization; Industrial engineering; Scheme (mathematics); Work in process; Engineering; Mathematics; Embedded system","score_opus":0.06831065503607743,"score_gpt":0.31854125311662923,"score_spread":0.2502305980805518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007519125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078558205,0.0012537938,0.9677147,0.0005891455,0.00009344483,0.00002313438,0.0001119718,0.00013639273,0.022221543],"genre_scores_gemma":[0.74905616,0.003835031,0.21141274,0.00028059067,0.00027936776,0.00030346375,0.0004081573,0.00021527136,0.034209147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971324,0.00008454133,0.000012976486,0.000043771215,0.00011285672,0.000032546126],"domain_scores_gemma":[0.99959165,0.00021833876,0.00006829036,0.00003860065,0.000060821596,0.0000223719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005403988,0.00088153646,0.0009541847,0.0007697986,0.00045818734,0.001620289,0.0013082039,0.0011098472,0.0033392136],"category_scores_gemma":[0.0016572997,0.00056953426,0.0011196453,0.0010326407,0.001033466,0.0013685967,0.0007661639,0.0013494734,0.00066647393],"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":[0.000007790259,0.000011119183,0.000052395055,0.00003116062,0.000010375977,0.000031882264,0.000020523932,0.7616221,0.00040030543,0.23228768,0.00061912986,0.004905595],"study_design_scores_gemma":[0.0000030733909,0.000004065788,0.000021588428,0.0000043132573,0.0000032232795,0.000008240452,0.000004386286,0.9421171,0.00009508725,0.056511603,0.0012232346,0.0000040404543],"about_ca_topic_score_codex":0.00580443,"about_ca_topic_score_gemma":0.003355065,"teacher_disagreement_score":0.00580443,"about_ca_system_score_codex":0.0015259992,"about_ca_system_score_gemma":0.0009802586,"threshold_uncertainty_score":0.011541247},"labels":[],"label_agreement":null},{"id":"W2007630047","doi":"10.1016/s0007-8506(07)60435-1","title":"Chatter Stability of Plunge Milling","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":60,"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":"Stability (learning theory); Engineering; Vibration; Eigenvalues and eigenvectors; Machining; Structural engineering; Torque; Mechanical engineering; Chip; Chip formation; Tool wear; Computer science; Physics; Acoustics","score_opus":0.019693136001301632,"score_gpt":0.23777751932470917,"score_spread":0.21808438332340754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007630047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6242716,0.0014532829,0.34067968,0.0007629883,0.000250044,0.000052425086,0.0001318193,0.00033120802,0.032067],"genre_scores_gemma":[0.9873126,0.00013594372,0.0043868166,0.00002942449,0.000034410194,0.000021200982,0.00003793911,0.000055426743,0.00798615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996382,0.00012970298,0.000014035173,0.00007321253,0.00009597009,0.000048881633],"domain_scores_gemma":[0.99614716,0.002434414,0.00036007504,0.00020125869,0.00060948,0.00024770782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012015862,0.0006215575,0.0007787907,0.0010692751,0.0008343084,0.0012836313,0.0009283318,0.0010575978,0.0056178067],"category_scores_gemma":[0.007034035,0.0003485647,0.00040384516,0.000351422,0.0019494189,0.0012897667,0.0011212672,0.0012217363,0.00039309092],"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":[0.0022824255,0.00015876122,0.0029141887,0.0003990476,0.00011071065,0.0006068158,0.0010013724,0.5244395,0.05006333,0.38702834,0.0026484665,0.028347021],"study_design_scores_gemma":[0.000019290264,0.00007562996,0.00096858427,0.000011657746,0.00000864657,0.000043974942,0.000064247,0.9676275,0.00269072,0.028173463,0.00028534257,0.000030884785],"about_ca_topic_score_codex":0.0026812202,"about_ca_topic_score_gemma":0.0016582482,"teacher_disagreement_score":0.0056178067,"about_ca_system_score_codex":0.0007205228,"about_ca_system_score_gemma":0.0004946895,"threshold_uncertainty_score":0.018793404},"labels":[],"label_agreement":null},{"id":"W2014238048","doi":"10.1016/s0007-8506(07)60544-7","title":"Mechanical Bus for Modular Product Design","year":2003,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":24,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Product (mathematics); Product design; Product lifecycle; Manufacturing engineering; Engineering; Product life-cycle management; Systems engineering; Mechanical design; Embedded system; Computer science; New product development; Mechanical engineering; Operating system; Business","score_opus":0.05302715610025434,"score_gpt":0.2538117894680427,"score_spread":0.2007846333677884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014238048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047133088,0.0018559991,0.85688627,0.00054526736,0.00038702137,0.00016152865,0.00043233903,0.0017817074,0.090816826],"genre_scores_gemma":[0.61380464,0.0017196189,0.29964784,0.00026239804,0.00027147436,0.00036651082,0.00073330454,0.00046859618,0.08272571],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99988925,0.000028384544,0.000003444303,0.000020187943,0.000044685446,0.0000140176135],"domain_scores_gemma":[0.9998926,0.00003512276,0.0000144445985,0.000023269831,0.000026962705,0.000007656486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021058567,0.00057237607,0.00038255606,0.00054233155,0.00041354372,0.00049947604,0.00052716606,0.00038424262,0.0317257],"category_scores_gemma":[0.00053687504,0.0002235536,0.00027722947,0.0005733512,0.0002619055,0.0007143673,0.00057901046,0.00063016417,0.003528106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028093264,0.00012805268,0.00047983933,0.00042217344,0.000036273042,0.00011716924,0.00008614983,0.13915324,0.020723654,0.3350425,0.017100276,0.48642972],"study_design_scores_gemma":[0.000094896175,0.0007795067,0.0010245015,0.00012861143,0.00005458729,0.00017509429,0.00007463703,0.6277725,0.012907471,0.24989852,0.10705262,0.000037063022],"about_ca_topic_score_codex":0.0006478661,"about_ca_topic_score_gemma":0.0018879252,"teacher_disagreement_score":0.0317257,"about_ca_system_score_codex":0.00031899064,"about_ca_system_score_gemma":0.00038059772,"threshold_uncertainty_score":0.106133044},"labels":[],"label_agreement":null},{"id":"W2014388710","doi":"10.1016/j.cirp.2007.05.052","title":"Rotating Curvilinear Tools for EDM of Polygonal Shapes with Sharp Corners","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Machining and Optimization 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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curvilinear coordinates; Flushing; Electrical discharge machining; Kinematics; Mechanical engineering; Machining; Machine tool; Engineering drawing; Computer science; Geometry; Engineering; Mathematics; Physics; Classical mechanics","score_opus":0.03595420776737807,"score_gpt":0.30130055473698797,"score_spread":0.2653463469696099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014388710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020113386,0.00026585822,0.97534424,0.00005956873,0.000045257806,0.000033597615,0.000057734396,0.00043986083,0.0036404713],"genre_scores_gemma":[0.2620026,0.00031290858,0.733685,0.000031031526,0.0000110580695,0.000043432094,0.00014871372,0.00015327631,0.0036119246],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976486,0.00004838859,0.000019274414,0.00004294377,0.00010075674,0.00002381446],"domain_scores_gemma":[0.9995415,0.00015596728,0.000055997047,0.00017447046,0.000054210468,0.000017866761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034295116,0.00059363886,0.00045100396,0.0004285421,0.00025479062,0.00067987497,0.0007999643,0.0004873168,0.0056387396],"category_scores_gemma":[0.0013600353,0.00031284185,0.0005412499,0.0005658088,0.00038677236,0.0005608628,0.00087263435,0.00070276984,0.00083223404],"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":[0.00031969527,0.000094275085,0.0017906346,0.0004038172,0.00005174655,0.0005052584,0.00028227567,0.28931955,0.12472334,0.050304852,0.004027384,0.52817714],"study_design_scores_gemma":[0.000035753957,0.00022517922,0.00087044545,0.000053928143,0.000021811602,0.0004410517,0.000097232616,0.9255794,0.047633305,0.008011402,0.016993746,0.000036667585],"about_ca_topic_score_codex":0.0003965924,"about_ca_topic_score_gemma":0.0008005324,"teacher_disagreement_score":0.0056387396,"about_ca_system_score_codex":0.0002482199,"about_ca_system_score_gemma":0.00036517257,"threshold_uncertainty_score":0.0188635},"labels":[],"label_agreement":null},{"id":"W2017586979","doi":"10.1016/s0007-8506(07)60588-5","title":"Feedrate Optimization for Spline Interpolation In High Speed Machine Tools","year":2003,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":126,"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; Control theory (sociology); Torque; Machine tool; Servo; Contouring; Acceleration; Spline (mechanical); Numerical control; Engineering; Motion control; Interpolation (computer graphics); Computer science; Mechanical engineering; Engineering drawing; Artificial intelligence; Control (management); Physics; Robot","score_opus":0.028320158907927877,"score_gpt":0.2881573310926168,"score_spread":0.25983717218468894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017586979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027651602,0.00047099445,0.96890455,0.00008855675,0.00006722897,0.000022226875,0.000024694586,0.00013112275,0.0026389973],"genre_scores_gemma":[0.6322975,0.000849912,0.3574183,0.00004468293,0.000093558956,0.00012841215,0.00012163745,0.0002892033,0.008756849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948335,0.00022753933,0.000019347503,0.00003779822,0.00018463848,0.000047299847],"domain_scores_gemma":[0.9991667,0.0005012091,0.00006738235,0.00006727499,0.00015900853,0.000038391838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00149975,0.00061773823,0.0010534147,0.00071634573,0.00045342036,0.00094083673,0.0007760722,0.0011661074,0.0022209857],"category_scores_gemma":[0.0045242785,0.0005056681,0.00074802263,0.00084834587,0.0007033632,0.00080590846,0.00095455797,0.0012829308,0.0004239407],"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":[0.00030850054,0.00008620489,0.0007025536,0.00019949318,0.00002637858,0.00004931962,0.00009731556,0.8655163,0.008087191,0.043080587,0.00089779764,0.08094832],"study_design_scores_gemma":[0.0000067688284,0.00002662646,0.00007495873,0.000010626583,0.0000030755064,0.000007727282,0.0000074247796,0.9942986,0.0011771376,0.0037946466,0.0005869299,0.0000055016644],"about_ca_topic_score_codex":0.002553752,"about_ca_topic_score_gemma":0.0033338557,"teacher_disagreement_score":0.002553752,"about_ca_system_score_codex":0.0006220959,"about_ca_system_score_gemma":0.0009300028,"threshold_uncertainty_score":0.00793159},"labels":[],"label_agreement":null},{"id":"W2018198252","doi":"10.1016/j.cirp.2014.03.054","title":"Analysis and performance of slotted tools in electrical discharge drilling","year":2014,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Machining and Optimization Techniques","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":"McMaster University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Pratt & Whitney","keywords":"Flushing; Electrical discharge machining; Drilling; Mechanical engineering; Machining; Rotation (mathematics); Debris; Volumetric flow rate; Electric discharge; Materials science; Flow (mathematics); Electrode; Engineering; Mechanics; Computer science; Geology; Physics","score_opus":0.014797183147204214,"score_gpt":0.2587462343079642,"score_spread":0.24394905116075996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018198252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96956116,0.0004990827,0.027092496,0.000039459213,0.000017509386,0.000009103888,0.00003056847,0.000113970695,0.0026367053],"genre_scores_gemma":[0.9983911,0.000040086492,0.0012542348,0.0000019360016,9.95905e-7,0.0000014257072,0.000009373036,0.0000058560727,0.0002950125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979943,0.000037798494,0.000007371378,0.000020851112,0.000103585015,0.000031012827],"domain_scores_gemma":[0.9992132,0.0005109463,0.000075555145,0.000054398126,0.00012466946,0.000021176904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031874047,0.00024548275,0.00034728556,0.0002269334,0.00018712375,0.0005651871,0.00046996973,0.00049739645,0.00082074985],"category_scores_gemma":[0.0016159774,0.00016431842,0.00021808938,0.00029461368,0.00049252727,0.00043510846,0.00027483067,0.00023654841,0.0001240407],"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":[0.0013760222,0.000099867495,0.0041749845,0.0002470507,0.00005112167,0.00024037591,0.00015590701,0.7719224,0.18100813,0.0023616394,0.00025291197,0.038109604],"study_design_scores_gemma":[0.000023683144,0.00074209884,0.0049112416,0.000009328288,0.000023404482,0.00009237964,0.000088984874,0.94277996,0.05030147,0.00051688036,0.0004930073,0.000017536137],"about_ca_topic_score_codex":0.0010960298,"about_ca_topic_score_gemma":0.0009479671,"teacher_disagreement_score":0.0010960298,"about_ca_system_score_codex":0.00032908836,"about_ca_system_score_gemma":0.00024216542,"threshold_uncertainty_score":0.002745688},"labels":[],"label_agreement":null},{"id":"W2018890383","doi":"10.1016/s0007-8506(07)60658-1","title":"Abstraction of Biological Analogies for Design","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Design Education and Practice","field":"Engineering","cited_by":108,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abstraction; Hierarchy; Computer science; Similarity (geometry); Focus (optics); Cognitive science; Artificial intelligence; Epistemology; Psychology; Physics","score_opus":0.27056087488776537,"score_gpt":0.3666293191870329,"score_spread":0.09606844429926753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018890383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009836083,0.0005703861,0.9522584,0.00082252355,0.00022783091,0.000059194757,0.00031598203,0.0008661889,0.03504339],"genre_scores_gemma":[0.37175283,0.0011722525,0.61006576,0.0005722028,0.000185895,0.00020171305,0.0009853503,0.00033247977,0.014731513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987192,0.00045964343,0.00014245106,0.00023318022,0.00036518494,0.00008048639],"domain_scores_gemma":[0.99718446,0.0013976549,0.00016017295,0.0009029405,0.0002695429,0.000085303036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015027362,0.0008235117,0.0005171164,0.0016115553,0.00094818074,0.0034088825,0.0017626908,0.0013581392,0.017320551],"category_scores_gemma":[0.009103338,0.00062077685,0.0022109444,0.0011141495,0.0033056447,0.005455949,0.002848533,0.0027262152,0.0023469534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002901837,0.000022159309,0.00028605113,0.00016918722,0.000025165262,0.00012599514,0.0004846417,0.009946194,0.0012970836,0.94755054,0.0019517393,0.038112342],"study_design_scores_gemma":[0.000011860483,0.000019199631,0.00016276368,0.00006507372,0.000029051162,0.00010288143,0.00009394273,0.02092713,0.0007293136,0.95550805,0.022337245,0.000013390075],"about_ca_topic_score_codex":0.0016493293,"about_ca_topic_score_gemma":0.002336026,"teacher_disagreement_score":0.017320551,"about_ca_system_score_codex":0.0013712308,"about_ca_system_score_gemma":0.00084656285,"threshold_uncertainty_score":0.057942986},"labels":[],"label_agreement":null},{"id":"W2019349601","doi":"10.1016/s0007-8506(07)62126-x","title":"Systematic Design of Manufacturing Systems Based on Axiomatic Design Approach","year":2001,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":35,"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":"Axiomatic design; Axiom; Manufacturing engineering; Product design; Integrated Computer-Aided Manufacturing; Process development execution system; Probabilistic design; Product (mathematics); Computer science; Engineering; Computer-integrated manufacturing; Design methods; Systems engineering; Industrial engineering; Engineering design process; Mathematics; Mechanical engineering","score_opus":0.06835585627197073,"score_gpt":0.2321922229769149,"score_spread":0.16383636670494417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019349601","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031877293,0.00011773495,0.9940996,0.000094548835,0.000012150045,0.00017485431,0.00003735211,0.00018994833,0.0020860431],"genre_scores_gemma":[0.08818461,0.00025965512,0.91008306,0.0000792721,0.000014063273,0.0004642682,0.00017192395,0.000050912553,0.0006920955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99377877,0.0032418622,0.000496561,0.000489793,0.0017307337,0.00026220534],"domain_scores_gemma":[0.99410063,0.003686623,0.00028670652,0.0007822633,0.0010685528,0.00007527172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051575312,0.0012941215,0.0008624405,0.0014941614,0.001006392,0.002238315,0.001968804,0.0012762054,0.002929023],"category_scores_gemma":[0.008613275,0.0012735886,0.0019645314,0.00072904496,0.0026666436,0.001890422,0.0019030255,0.001742477,0.0005177988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014599369,0.00019473753,0.0017109689,0.0016818626,0.00025156583,0.00045141956,0.00096625637,0.35126284,0.010617723,0.47606423,0.001929054,0.15472335],"study_design_scores_gemma":[0.00017433148,0.00029693553,0.00043359396,0.0004006352,0.00024357015,0.0003063616,0.00022880895,0.70157415,0.009614957,0.26705387,0.019606398,0.000066413304],"about_ca_topic_score_codex":0.0025313473,"about_ca_topic_score_gemma":0.004668972,"teacher_disagreement_score":0.0051575312,"about_ca_system_score_codex":0.0015180295,"about_ca_system_score_gemma":0.003997401,"threshold_uncertainty_score":0.02727598},"labels":[],"label_agreement":null},{"id":"W2019824494","doi":"10.1016/j.cirp.2010.03.032","title":"Co-evolution hypotheses and model for manufacturing planning","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Interdependence; Automotive industry; Product (mathematics); Manufacturing engineering; Cladogram; Computer science; New product development; Engineering; Industrial engineering; Mathematics; Business; Cladistics; Biology","score_opus":0.05234442923351834,"score_gpt":0.2745544164738258,"score_spread":0.22220998724030744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019824494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14565425,0.0008646353,0.76007783,0.0055915155,0.00017316808,0.00020151166,0.00062982104,0.00044114378,0.08636617],"genre_scores_gemma":[0.9008453,0.0005610875,0.077632345,0.00032231104,0.00011613725,0.00032572707,0.00044662546,0.00009320649,0.019657332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989478,0.00045947512,0.00004108659,0.00024488097,0.00015694967,0.00014979014],"domain_scores_gemma":[0.99338514,0.0050690565,0.00047709176,0.00030822106,0.00046246545,0.00029804202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020477069,0.0006202177,0.0010755453,0.002148109,0.0010140027,0.00229077,0.0026989202,0.002126708,0.01772258],"category_scores_gemma":[0.013453041,0.00066950236,0.0015916623,0.0023811324,0.001974008,0.003936097,0.0013605569,0.0018906811,0.001221727],"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":[0.00006686219,0.00009659424,0.0042140144,0.000078177865,0.00008394719,0.0003160826,0.0002654069,0.28532827,0.0002458462,0.689795,0.0023019712,0.017207874],"study_design_scores_gemma":[0.000028400942,0.000045053428,0.0013862121,0.000015675561,0.000037521826,0.00015315293,0.00013160333,0.5989571,0.00008241898,0.39733797,0.0018018568,0.000023022736],"about_ca_topic_score_codex":0.011577194,"about_ca_topic_score_gemma":0.008077083,"teacher_disagreement_score":0.01772258,"about_ca_system_score_codex":0.0023187557,"about_ca_system_score_gemma":0.0017567112,"threshold_uncertainty_score":0.059287906},"labels":[],"label_agreement":null},{"id":"W2022819096","doi":"10.1016/j.cirp.2010.03.127","title":"On-axis self-calibration of angle encoders","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":29,"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":"Encoder; Rotary encoder; Comparator; Calibration; Computer science; Goniometer; Position (finance); Process (computing); Resolver; Optics; Engineering; Mathematics; Electrical engineering; Physics; Voltage; Telecommunications","score_opus":0.022043823309298258,"score_gpt":0.2629713161398917,"score_spread":0.24092749283059345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022819096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2439446,0.0012490125,0.7061914,0.0002779685,0.00067830645,0.0001981647,0.00052876933,0.0037707598,0.043161035],"genre_scores_gemma":[0.85285324,0.00044947516,0.1349935,0.00013876229,0.00009310917,0.000058106525,0.0004846921,0.00040472616,0.010524462],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99732214,0.0004905453,0.00009064487,0.0004192086,0.0015150375,0.00016256297],"domain_scores_gemma":[0.9969619,0.0004867455,0.00034918016,0.0008834618,0.0012351564,0.00008355131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010374577,0.00084834226,0.00060681964,0.00087446143,0.00060324004,0.0013963499,0.00091634464,0.00080595654,0.0060824696],"category_scores_gemma":[0.0051509463,0.00042289874,0.00019664691,0.0012367318,0.00040242096,0.0013958552,0.0013201834,0.0007831369,0.001821463],"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":[0.0012622322,0.00024255733,0.013359842,0.0004903645,0.00005584605,0.00015415235,0.0008009872,0.012965858,0.28880757,0.012693033,0.006798311,0.6623692],"study_design_scores_gemma":[0.00012627267,0.0006703506,0.037013203,0.00020350875,0.00009206353,0.001734123,0.00041740004,0.107229605,0.780133,0.0046609505,0.067596294,0.00012327536],"about_ca_topic_score_codex":0.0009370342,"about_ca_topic_score_gemma":0.0019116084,"teacher_disagreement_score":0.0060824696,"about_ca_system_score_codex":0.0005105374,"about_ca_system_score_gemma":0.00082450337,"threshold_uncertainty_score":0.020347893},"labels":[],"label_agreement":null},{"id":"W2023270691","doi":"10.1016/j.cirp.2009.03.094","title":"Progressive modeling—An enabler of dynamic changes in production planning","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":9,"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","funders":"","keywords":"Enabling; Production planning; Production (economics); Aggregate planning; Industrial engineering; Computer science; Control (management); Aggregate (composite); Manufacturing engineering; Engineering; Mathematical optimization; Control engineering; Mathematics; Artificial intelligence; Economics","score_opus":0.03907976489305977,"score_gpt":0.29050820584449644,"score_spread":0.2514284409514367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023270691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021680443,0.0003585935,0.9481128,0.0012713468,0.00011336357,0.00004928482,0.00016511299,0.0010871005,0.027161913],"genre_scores_gemma":[0.6060364,0.00094418094,0.385995,0.00021637967,0.00013329017,0.00009387996,0.00031443313,0.00032176662,0.005944673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992812,0.0002558447,0.00003151937,0.00016306259,0.00022318194,0.00004502781],"domain_scores_gemma":[0.99793845,0.00085046043,0.00016461869,0.000768615,0.00017640689,0.000101400736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011890421,0.0005514635,0.00038900482,0.00046333176,0.00040082767,0.0019969284,0.002041898,0.0007038061,0.0041925614],"category_scores_gemma":[0.005679454,0.0004901584,0.0006889195,0.0007315839,0.0011590112,0.0035409955,0.00208082,0.0015103761,0.0007180606],"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":[0.00014689409,0.00008294452,0.00170471,0.00010831766,0.00004442898,0.00014208179,0.00040462636,0.5173862,0.004597304,0.30570197,0.0032198601,0.16646062],"study_design_scores_gemma":[0.000031707303,0.0000696101,0.0003635848,0.000035963123,0.000027454442,0.000079343175,0.00007066633,0.81450564,0.0023061472,0.15433875,0.028150102,0.000021141588],"about_ca_topic_score_codex":0.004018457,"about_ca_topic_score_gemma":0.005377794,"teacher_disagreement_score":0.0041925614,"about_ca_system_score_codex":0.0008636461,"about_ca_system_score_gemma":0.0014702751,"threshold_uncertainty_score":0.014025509},"labels":[],"label_agreement":null},{"id":"W2024475804","doi":"10.1016/s0007-8506(07)60373-4","title":"Effects of Edge Preparation and Feed when Hard Turning a Hot Work Die Steel with Polycrystalline Cubic Boron Nitride Tools","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boron nitride; Residual stress; Materials science; Enhanced Data Rates for GSM Evolution; Surface integrity; Machining; Die (integrated circuit); Ultimate tensile strength; Finite element method; Metallurgy; Composite material; Crystallite; Work (physics); Structural engineering; Mechanical engineering; Engineering","score_opus":0.01051980813065391,"score_gpt":0.22809512584020186,"score_spread":0.21757531770954797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024475804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966659,0.00043032455,0.0012147189,0.00003850162,0.000054400378,0.000007874209,0.000062095074,0.00012501131,0.0014011542],"genre_scores_gemma":[0.9986166,0.000102120845,0.0006446725,0.000013262254,0.0000072536827,0.0000028743518,0.00004787257,0.000049693084,0.0005155378],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961275,0.000048655937,0.000023644563,0.00006711543,0.0000890237,0.00015895258],"domain_scores_gemma":[0.99732333,0.0014732258,0.00047401045,0.00016305722,0.0003509257,0.00021547913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042045274,0.000517629,0.00063521543,0.00042340864,0.00071825803,0.0011542651,0.0005566128,0.0008618605,0.002426382],"category_scores_gemma":[0.0022538858,0.00055026927,0.00034663806,0.0004267689,0.0005131441,0.0007653554,0.00036528643,0.0005807915,0.00034494232],"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":[0.011606768,0.0003372226,0.0034700981,0.00038189263,0.00008476017,0.00057215657,0.0003476295,0.010506857,0.9558752,0.0003635801,0.0004482885,0.016005514],"study_design_scores_gemma":[0.00008660072,0.002316179,0.007112174,0.000022039892,0.00012280142,0.00010373411,0.00021627183,0.006707307,0.9825829,0.000070011454,0.00062518916,0.000034805344],"about_ca_topic_score_codex":0.0020362148,"about_ca_topic_score_gemma":0.004208214,"teacher_disagreement_score":0.002426382,"about_ca_system_score_codex":0.000606106,"about_ca_system_score_gemma":0.00054438424,"threshold_uncertainty_score":0.00811708},"labels":[],"label_agreement":null},{"id":"W2024954560","doi":"10.1016/s0007-8506(07)60444-2","title":"Virtual Computer Numerical Control System","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":39,"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; University of Waterloo","funders":"","keywords":"Modular design; Numerical control; Interpolation (computer graphics); Trajectory; Control engineering; Identification (biology); Computer science; Machine tool; Feed forward; Control system; Control (management); Engineering; Simulation; Machining; Mechanical engineering; Artificial intelligence; Frame (networking)","score_opus":0.006722529672400461,"score_gpt":0.20120754384038395,"score_spread":0.19448501416798347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024954560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020783491,0.0002488629,0.92975384,0.0003537649,0.00063889823,0.00013536173,0.0002301803,0.004351974,0.043503612],"genre_scores_gemma":[0.8221295,0.00033128762,0.120551325,0.0003295468,0.00015742601,0.0003597258,0.00045375267,0.00019489227,0.055492543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995616,0.00007114132,0.000020075653,0.000107988104,0.00021053286,0.000028655944],"domain_scores_gemma":[0.99960524,0.000061312145,0.000026747972,0.00009441803,0.00017345214,0.000038807586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003242658,0.00034999172,0.0004616393,0.00045233374,0.0006001496,0.0015616183,0.00084244605,0.0006213522,0.014996585],"category_scores_gemma":[0.0012162698,0.00016146495,0.00023563967,0.00027863812,0.0005143559,0.00067485875,0.00108892,0.00045350374,0.0030255283],"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":[0.00075853814,0.00017914215,0.0018802416,0.00026653588,0.000051711406,0.0002758227,0.00026875938,0.36789772,0.06449153,0.10136864,0.02671362,0.43584764],"study_design_scores_gemma":[0.00007769069,0.0001994949,0.0006375757,0.000023384084,0.000018695016,0.00012959709,0.000028442053,0.92352253,0.015848326,0.009875281,0.04960255,0.0000364956],"about_ca_topic_score_codex":0.002750545,"about_ca_topic_score_gemma":0.0017726067,"teacher_disagreement_score":0.014996585,"about_ca_system_score_codex":0.0005181457,"about_ca_system_score_gemma":0.0010590728,"threshold_uncertainty_score":0.050168574},"labels":[],"label_agreement":null},{"id":"W2025559347","doi":"10.1016/s0007-8506(07)61539-x","title":"Deadlock-free Rescheduling in Flexible Manufacturing Systems","year":2002,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":16,"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","funders":"","keywords":"Deadlock; Schedule; Petri net; Computer science; Limit (mathematics); Distributed computing; Deadlock prevention algorithms; Scheduling (production processes); Real-time computing; Engineering; Operations management; Mathematics","score_opus":0.09844336902206095,"score_gpt":0.2823061979061318,"score_spread":0.18386282888407085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025559347","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15508181,0.0014813977,0.8285331,0.00073216093,0.00022292272,0.00007211432,0.00009782541,0.00077935413,0.012999355],"genre_scores_gemma":[0.9352838,0.0005809205,0.059267454,0.00010736136,0.000052146006,0.0000973937,0.00009933678,0.000087935696,0.004423633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893636,0.0004134722,0.00007790443,0.00012891799,0.00024633954,0.00019698951],"domain_scores_gemma":[0.9973978,0.0017870984,0.00021854875,0.00023673342,0.00024446115,0.00011534649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027353275,0.00042600074,0.0008120211,0.00067915645,0.0011300822,0.0011459924,0.0014674063,0.0009042292,0.0017941993],"category_scores_gemma":[0.00503759,0.0005725381,0.0006892919,0.00073857076,0.0015071701,0.0014871391,0.0010481008,0.0010422037,0.00017826875],"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":[0.00021586733,0.00009746732,0.00058718957,0.00013309921,0.000041961084,0.00029896075,0.00024277953,0.77976835,0.004977073,0.160295,0.0013881973,0.051954027],"study_design_scores_gemma":[0.000028962671,0.00005588486,0.00018816441,0.000012150725,0.000019245757,0.00005317635,0.000030014855,0.86348087,0.0019355766,0.13303259,0.0011474416,0.000015914793],"about_ca_topic_score_codex":0.0038101804,"about_ca_topic_score_gemma":0.0037404937,"teacher_disagreement_score":0.0038101804,"about_ca_system_score_codex":0.0010389359,"about_ca_system_score_gemma":0.0020363212,"threshold_uncertainty_score":0.014465988},"labels":[],"label_agreement":null},{"id":"W2026955027","doi":"10.1016/s0007-8506(07)60104-8","title":"Modelling of Abrasive Waterjet Machining: A New Approach","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Erosion and Abrasive Machining","field":"Environmental Science","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":"McMaster University","funders":"","keywords":"Abrasive; Machining; Mechanical engineering; Erosion; Calibration; Process (computing); Materials science; Computer science; Engineering drawing; Engineering; Mathematics; Geology","score_opus":0.09856137877920576,"score_gpt":0.2906581981686425,"score_spread":0.19209681938943676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026955027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028202927,0.0012556091,0.9550774,0.00037853085,0.00016596858,0.000044811233,0.00015148694,0.00026874256,0.014454475],"genre_scores_gemma":[0.8224109,0.003777078,0.14493941,0.00023829196,0.0002859032,0.00025638338,0.0003496244,0.00049174775,0.027250735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996972,0.000060253435,0.000020075295,0.000055792636,0.00013192616,0.000034870915],"domain_scores_gemma":[0.9995042,0.00022656578,0.00006801435,0.000055497185,0.000111442234,0.00003428918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035992978,0.0010094137,0.0016355842,0.00065615954,0.00049711845,0.002071698,0.0026312836,0.0027793054,0.0027236626],"category_scores_gemma":[0.0016906841,0.0010557852,0.0012710745,0.00089764677,0.0011300714,0.001888492,0.0013052368,0.0014799092,0.00055341044],"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":[0.000008690914,0.000011984715,0.00011537723,0.00003662328,0.000015745574,0.00003904749,0.000025320493,0.9892532,0.000917117,0.0066836798,0.00013895308,0.0027543032],"study_design_scores_gemma":[0.0000041703115,0.000005134074,0.000052309802,0.0000037867298,0.0000052400196,0.000011642356,0.0000071462714,0.9963999,0.00015975123,0.0025612589,0.0007850587,0.0000046947985],"about_ca_topic_score_codex":0.011094769,"about_ca_topic_score_gemma":0.0063743526,"teacher_disagreement_score":0.011094769,"about_ca_system_score_codex":0.00069136126,"about_ca_system_score_gemma":0.00092789007,"threshold_uncertainty_score":0.022060394},"labels":[],"label_agreement":null},{"id":"W2027895002","doi":"10.1016/s0007-8506(07)60017-1","title":"From Life Cycle Assessment to Sustainable Production: Status and Perspectives","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Queen's University","funders":"","keywords":"Sustainability; Life-cycle assessment; Design for the Environment; Product (mathematics); Engineering; Product lifecycle; Legislation; Order (exchange); Environmental impact assessment; Sustainable design; Production (economics); Ecodesign; Product design; Business; Risk analysis (engineering); New product development; Manufacturing engineering; Marketing; Economics; Political science","score_opus":0.017743055973911293,"score_gpt":0.29782224285110254,"score_spread":0.28007918687719124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027895002","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003938424,0.7005297,0.01235805,0.21160902,0.0062833643,0.000016541542,0.00008199789,0.000058717054,0.06512418],"genre_scores_gemma":[0.18547167,0.743949,0.011455855,0.03097898,0.016440745,0.00006272616,0.00012298439,0.00006004519,0.01145804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961707,0.0019750001,0.00013191428,0.00023426859,0.0011673773,0.00032079802],"domain_scores_gemma":[0.98308545,0.011922198,0.00055105524,0.00050350284,0.003102651,0.0008351317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010764121,0.0008323086,0.0013132408,0.0031753017,0.0016010358,0.0090674665,0.0021782967,0.006364822,0.010139228],"category_scores_gemma":[0.013232003,0.0003336199,0.0006295477,0.004205863,0.009658821,0.009806557,0.003243798,0.0058335722,0.0011864688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001542263,0.00022393127,0.001548207,0.0021328328,0.000056888064,0.00034274653,0.00089204026,0.0050202156,0.00051472004,0.53452617,0.07567137,0.3789166],"study_design_scores_gemma":[0.000022292317,0.00008656696,0.0010372553,0.0017151157,0.000022006943,0.0002555789,0.0021821153,0.0028110556,0.00037884817,0.5694727,0.4219732,0.000043248267],"about_ca_topic_score_codex":0.006491667,"about_ca_topic_score_gemma":0.00786964,"teacher_disagreement_score":0.010764121,"about_ca_system_score_codex":0.0044477736,"about_ca_system_score_gemma":0.006130603,"threshold_uncertainty_score":0.056926787},"labels":[],"label_agreement":null},{"id":"W2029603595","doi":"10.1016/s0007-8506(07)60647-7","title":"High Speed Face Milling of a Aluminium Silicon Alloy Casting","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":45,"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 Windsor; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Shandong Academy of Sciences","keywords":"Materials science; Aluminium; Machining; Metallurgy; Microstructure; Alloy; Tool wear; Finite element method; Silicon carbide; Die (integrated circuit); Engineering; Structural engineering","score_opus":0.024379621158017343,"score_gpt":0.260193542896463,"score_spread":0.23581392173844568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029603595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94882774,0.0005437788,0.030122673,0.00009167351,0.00012138281,0.000045484492,0.00012770818,0.00035134205,0.01976827],"genre_scores_gemma":[0.9691936,0.00011477099,0.021290366,0.000014407806,0.000012370762,0.0000075199882,0.00009914942,0.000056840152,0.009211012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998574,0.0000058304554,0.0000046302953,0.000020955948,0.00008462984,0.000026478825],"domain_scores_gemma":[0.9998204,0.00003694515,0.00002157733,0.000043175878,0.00006052822,0.000017346918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019938093,0.00020749496,0.00047294525,0.0003880352,0.00052075426,0.0006866614,0.00025064516,0.00043631982,0.0036507153],"category_scores_gemma":[0.00027071344,0.00024331242,0.00030648813,0.00031073668,0.00023100969,0.00021679816,0.00018830055,0.0004975375,0.0006536358],"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":[0.00044354616,0.00006895892,0.000753651,0.000106254,0.000012382652,0.00021803527,0.00014425334,0.009652945,0.93790317,0.0015363054,0.00064042344,0.048520066],"study_design_scores_gemma":[0.000058329708,0.0012880963,0.013992244,0.000022676893,0.000042089836,0.0003855037,0.00017409254,0.06246699,0.9115167,0.0008020432,0.009218951,0.000032223972],"about_ca_topic_score_codex":0.0013889518,"about_ca_topic_score_gemma":0.003269335,"teacher_disagreement_score":0.0036507153,"about_ca_system_score_codex":0.00033961993,"about_ca_system_score_gemma":0.0007243952,"threshold_uncertainty_score":0.0122128725},"labels":[],"label_agreement":null},{"id":"W2030100924","doi":"10.1016/j.cirp.2013.03.034","title":"Generalized dynamic model of metal cutting operations","year":2013,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":65,"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":"Machining; Rake; Point (geometry); Enhanced Data Rates for GSM Evolution; Stability (learning theory); Vibration; Cutting tool; Set (abstract data type); Machine tool; Mechanical engineering; Engineering; Face (sociological concept); Computer science; Mathematics; Geometry; Artificial intelligence; Acoustics; Physics","score_opus":0.02474879329744417,"score_gpt":0.27600024236416004,"score_spread":0.25125144906671587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030100924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06822329,0.0017588701,0.8672019,0.0014810867,0.00038919586,0.00008685641,0.0008153388,0.0003091167,0.05973433],"genre_scores_gemma":[0.9183093,0.0014722345,0.018625924,0.00026566733,0.00017673781,0.00021064976,0.000617281,0.00012578903,0.060196426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960774,0.000113096045,0.0000136893805,0.00009375589,0.00010214961,0.00006964078],"domain_scores_gemma":[0.99965334,0.00013233139,0.000059620386,0.000025521815,0.00008807465,0.000041161944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053405133,0.0012612368,0.0017826706,0.0009861764,0.0005419964,0.0020570485,0.002247258,0.0024077238,0.0073903054],"category_scores_gemma":[0.0012149949,0.00073545927,0.001042747,0.0012195173,0.0015645339,0.0015499413,0.0011857107,0.0014012093,0.0012013047],"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":[0.000016218222,0.00001604665,0.000092823466,0.000029253837,0.000018084385,0.0000554983,0.0000245999,0.9668902,0.0004244141,0.030027341,0.0005064528,0.0018990694],"study_design_scores_gemma":[0.0000054318343,0.0000067482847,0.00006406161,0.0000027580488,0.0000048421743,0.00000794301,0.0000066078915,0.9921292,0.000027857935,0.0074126828,0.0003261036,0.000005704072],"about_ca_topic_score_codex":0.018105535,"about_ca_topic_score_gemma":0.011285381,"teacher_disagreement_score":0.018105535,"about_ca_system_score_codex":0.0013550686,"about_ca_system_score_gemma":0.0013402062,"threshold_uncertainty_score":0.03600031},"labels":[],"label_agreement":null},{"id":"W2030890688","doi":"10.1016/s0007-8506(07)60067-5","title":"Feature-Based Alignment and Comparison between Portion and Whole of Free-Form Surfaces","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface (topology); Feature (linguistics); Point (geometry); Process (computing); Free form; Artificial intelligence; Computer vision; Algorithm; Computer science; Engineering drawing; Mathematics; Geometry; Engineering","score_opus":0.039028651756750674,"score_gpt":0.2910541602155102,"score_spread":0.25202550845875954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030890688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81755394,0.0003609312,0.17498222,0.00004760311,0.00011302757,0.00005031699,0.00056905806,0.002259905,0.0040629436],"genre_scores_gemma":[0.9645424,0.00006833448,0.033885397,0.000010961872,0.000015611775,0.000010536452,0.0005748561,0.00021509524,0.00067676883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995134,0.000060778562,0.000020138461,0.0001221974,0.00022202276,0.000061554856],"domain_scores_gemma":[0.99870026,0.00029087218,0.00010515892,0.00027624422,0.0005725764,0.00005490271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045798055,0.00038147022,0.00051713194,0.0014943435,0.00032691416,0.00073212443,0.00059220823,0.00054831797,0.0026852703],"category_scores_gemma":[0.0019378064,0.00023425954,0.00036307485,0.0013711465,0.00024039955,0.0010356416,0.00048035904,0.0003539832,0.0007441832],"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":[0.0037328766,0.00021681342,0.020754766,0.00025921024,0.00015683529,0.00017749205,0.00034011318,0.01913753,0.5855491,0.002241647,0.0024670325,0.36496666],"study_design_scores_gemma":[0.00009179977,0.0008236969,0.16056196,0.000023735538,0.00021707224,0.0011207995,0.00038555416,0.41724807,0.41261375,0.0013017047,0.0055210707,0.00009075156],"about_ca_topic_score_codex":0.001078018,"about_ca_topic_score_gemma":0.0014950045,"teacher_disagreement_score":0.0026852703,"about_ca_system_score_codex":0.00025573053,"about_ca_system_score_gemma":0.00028073136,"threshold_uncertainty_score":0.008983135},"labels":[],"label_agreement":null},{"id":"W2031399396","doi":"10.1016/j.cirp.2012.03.144","title":"Prediction of workpiece dynamics and its effects on chatter stability in milling","year":2012,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":204,"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":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Pratt and Whitney Canada","keywords":"Machining; Stability (learning theory); Dynamics (music); Process (computing); Task (project management); Engineering; Mechanical engineering; Control theory (sociology); Computer science; Artificial intelligence; Control (management); Physics","score_opus":0.027492019535545947,"score_gpt":0.24989125747263188,"score_spread":0.22239923793708594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031399396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87333953,0.0002462283,0.12505637,0.00009107555,0.000022179722,0.000013950141,0.000036801357,0.0002258305,0.0009680571],"genre_scores_gemma":[0.9969067,0.000032611188,0.0027994635,0.000003191698,0.0000030858416,0.0000040419704,0.000010507758,0.000009310778,0.00023097765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.000059957907,0.000007880841,0.00003638216,0.000038866692,0.000019166531],"domain_scores_gemma":[0.9954358,0.0039015294,0.00023364813,0.000113159644,0.0002410748,0.000074724165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000658909,0.0004797761,0.00047692782,0.0003218557,0.00027328698,0.0004196491,0.00042365913,0.0008120455,0.00058635755],"category_scores_gemma":[0.0038086346,0.0003406832,0.00030740554,0.00015935482,0.0004199753,0.00044486672,0.00035423622,0.0006271232,0.000096495256],"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":[0.00035056486,0.00006914568,0.0036914644,0.000058193473,0.000016717657,0.00007380215,0.00005941536,0.9660609,0.015419347,0.00044948602,0.000092028524,0.0136590125],"study_design_scores_gemma":[0.0000020859898,0.000027905813,0.000604817,0.0000012051916,0.0000017586998,0.0000030016888,0.000001919515,0.99787736,0.0014377107,0.000032120348,0.000007919332,0.0000022991317],"about_ca_topic_score_codex":0.00421201,"about_ca_topic_score_gemma":0.0027098092,"teacher_disagreement_score":0.00421201,"about_ca_system_score_codex":0.00028644197,"about_ca_system_score_gemma":0.0002735127,"threshold_uncertainty_score":0.008374989},"labels":[],"label_agreement":null},{"id":"W2034776775","doi":"10.1016/s0007-8506(07)61522-4","title":"A Piezo Tool Actuator for Precision Turning of Hardened Shafts","year":2002,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":44,"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; Stiffness; Mechanical engineering; Engineering; Servo; Machining; Position (finance); Machine tool; Stack (abstract data type); Natural frequency; Control theory (sociology); Hinge; Acoustics; Rotary actuator; Structural engineering; Computer science; Vibration; Electrical engineering; Physics; Control (management); Artificial intelligence","score_opus":0.0356572754738922,"score_gpt":0.26844136375748767,"score_spread":0.23278408828359548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034776775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57527494,0.0026039197,0.3994009,0.00048658648,0.00046087804,0.00014456906,0.00022308932,0.00075746165,0.020647734],"genre_scores_gemma":[0.9434591,0.00043018252,0.05019753,0.000042526644,0.000038956594,0.00002921189,0.00004495103,0.000021835358,0.005735644],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998529,0.000012108277,0.00000551936,0.000022298262,0.00009096047,0.000016295193],"domain_scores_gemma":[0.9998605,0.00005224681,0.000020442805,0.000023641698,0.000028897985,0.000014201038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016414537,0.0002011965,0.00026135024,0.00018185333,0.00031818423,0.00029334627,0.0004253393,0.00026691472,0.0018175392],"category_scores_gemma":[0.0002457757,0.0001946631,0.00013407886,0.00018614037,0.0002772337,0.00029276847,0.0003274747,0.0002742279,0.00020467116],"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":[0.0003095843,0.000040317704,0.0007409259,0.00020158969,0.000012898497,0.00019206273,0.00008013233,0.005193972,0.8845033,0.0032897834,0.00091888075,0.10451653],"study_design_scores_gemma":[0.00020413757,0.0018575764,0.017721063,0.000057248933,0.000086541055,0.0018681239,0.00014393863,0.21028075,0.72426474,0.0031607738,0.04024347,0.00011178383],"about_ca_topic_score_codex":0.00042079677,"about_ca_topic_score_gemma":0.00093301997,"teacher_disagreement_score":0.0018175392,"about_ca_system_score_codex":0.0001420277,"about_ca_system_score_gemma":0.00028925075,"threshold_uncertainty_score":0.00608021},"labels":[],"label_agreement":null},{"id":"W2037264876","doi":"10.1016/s0007-8506(07)60703-3","title":"Dynamic Compensation of Spindle-Integrated Force Sensors","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":101,"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":"Compensation (psychology); Contact force; SIGNAL (programming language); Kalman filter; Bandwidth (computing); Engineering; Acoustics; Force dynamics; Filter (signal processing); Control theory (sociology); Mechanical engineering; Computer science; Physics; Electrical engineering; Classical mechanics","score_opus":0.013615605036533576,"score_gpt":0.2647171697418882,"score_spread":0.2511015647053546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037264876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3905597,0.0010644181,0.59630185,0.0002844235,0.00021196491,0.00005563298,0.00014302092,0.0007954592,0.010583511],"genre_scores_gemma":[0.9685081,0.00015227472,0.027339244,0.000051877683,0.000032979235,0.000019139448,0.000082331215,0.000022262577,0.00379173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997079,0.000027073767,0.0000064132146,0.00007156652,0.0001589759,0.000028062384],"domain_scores_gemma":[0.9996685,0.000072746836,0.00006136557,0.00002934664,0.00015482634,0.000013228651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023932355,0.00043354035,0.00032414866,0.00034145208,0.0002454879,0.00044458502,0.0006238879,0.00056659884,0.0011694356],"category_scores_gemma":[0.0007192262,0.00024619317,0.000117386866,0.00036403487,0.00017864958,0.00045435491,0.0002636563,0.00027377988,0.00028772125],"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":[0.0010910679,0.00012546497,0.0023366213,0.00016673529,0.000038794133,0.000112227994,0.00019986644,0.033559393,0.7196553,0.0030187818,0.0021755146,0.23752025],"study_design_scores_gemma":[0.00008929825,0.00071737194,0.013263653,0.000040757313,0.00005294062,0.00038172214,0.00006658124,0.6220632,0.35333857,0.0013201335,0.008617424,0.000048302154],"about_ca_topic_score_codex":0.0009334058,"about_ca_topic_score_gemma":0.0019948967,"teacher_disagreement_score":0.0011694356,"about_ca_system_score_codex":0.000332192,"about_ca_system_score_gemma":0.00020725986,"threshold_uncertainty_score":0.003912151},"labels":[],"label_agreement":null},{"id":"W2037512333","doi":"10.1016/j.cirp.2009.09.003","title":"Design methodologies: Industrial and educational applications","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Design Education and Practice","field":"Engineering","cited_by":386,"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":"Field (mathematics); Process (computing); Management science; Computer science; Design methods; Engineering management; Engineering; Engineering ethics; Mechanical engineering; Mathematics","score_opus":0.37283005772720246,"score_gpt":0.4153801305374658,"score_spread":0.04255007281026335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037512333","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047099916,0.018469505,0.9307731,0.0031621465,0.00052369444,0.0001178132,0.00008562554,0.00078022643,0.041377917],"genre_scores_gemma":[0.088869154,0.019610373,0.86919904,0.00084414013,0.00050519384,0.00053704466,0.00021879558,0.00033724328,0.019878993],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99627423,0.0022467726,0.00030537666,0.00028718056,0.00080884545,0.000077673554],"domain_scores_gemma":[0.98399043,0.01214512,0.00057575706,0.0012701682,0.001624215,0.00039429375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068881796,0.0010420018,0.0005192165,0.0030736187,0.0009296612,0.0043158373,0.0011501646,0.0018039416,0.0156132495],"category_scores_gemma":[0.015568913,0.0009037692,0.000730948,0.0034828102,0.003046676,0.0037281874,0.0015373087,0.0019307624,0.0030086008],"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":[0.000036256857,0.00018149932,0.0016570712,0.0013866028,0.00004149558,0.00010248259,0.0009321936,0.0050978777,0.0013810052,0.34567347,0.016027564,0.62748253],"study_design_scores_gemma":[0.0000612807,0.00014255816,0.0017559427,0.0020422665,0.000047975074,0.0005789115,0.001217069,0.028360961,0.0020722663,0.61498976,0.34869522,0.00003583141],"about_ca_topic_score_codex":0.0007846484,"about_ca_topic_score_gemma":0.0013741611,"teacher_disagreement_score":0.0156132495,"about_ca_system_score_codex":0.0011717003,"about_ca_system_score_gemma":0.0024593896,"threshold_uncertainty_score":0.05223155},"labels":[],"label_agreement":null},{"id":"W2038492394","doi":"10.1016/j.cirp.2011.03.084","title":"Mechanics of micro-milling with round edge tools","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","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":"University of British Columbia","funders":"Sandvik Coromant","keywords":"Brass; Materials science; Strain hardening exponent; Flow stress; Enhanced Data Rates for GSM Evolution; Chip formation; Mechanics; Slip line field; Work hardening; Constitutive equation; Slip (aerodynamics); Mechanical engineering; Strain rate; Machining; Composite material; Metallurgy; Engineering; Structural engineering; Tool wear; Finite element method; Shear (geology); Physics","score_opus":0.060813066650216456,"score_gpt":0.24450146712456775,"score_spread":0.18368840047435128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038492394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5639372,0.004757786,0.3218491,0.0015135722,0.00048121298,0.00022184689,0.00019167086,0.00025156292,0.10679603],"genre_scores_gemma":[0.9748267,0.0006603134,0.009159124,0.000054860408,0.000052197014,0.000047803573,0.000033328128,0.000036091118,0.015129636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997247,0.000040004026,0.000010430411,0.0000437179,0.00014392847,0.000037140286],"domain_scores_gemma":[0.99973494,0.00013379395,0.00004118105,0.000029586394,0.000034595574,0.000025817082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026230558,0.00031121756,0.0004657331,0.000398993,0.00057841337,0.0012790748,0.0009160247,0.0008889362,0.0038147385],"category_scores_gemma":[0.0010396754,0.00040556776,0.00034261812,0.0003495977,0.0011988453,0.0010554494,0.00079240394,0.0005870481,0.00044072012],"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":[0.00034422023,0.00020250278,0.0022301953,0.00029692028,0.000051372004,0.00087947136,0.0005176174,0.583759,0.06760971,0.30109137,0.0021012805,0.04091629],"study_design_scores_gemma":[0.000067676294,0.00015638315,0.0050375178,0.000020663503,0.000014540393,0.0004120615,0.00019229385,0.92279106,0.008696702,0.058365136,0.004185495,0.000060498773],"about_ca_topic_score_codex":0.00078581675,"about_ca_topic_score_gemma":0.00081823097,"teacher_disagreement_score":0.0038147385,"about_ca_system_score_codex":0.00041630256,"about_ca_system_score_gemma":0.0005178709,"threshold_uncertainty_score":0.012761533},"labels":[],"label_agreement":null},{"id":"W2039935001","doi":"10.1016/s0007-8506(07)60105-x","title":"Novel Kinematics for Cylindrical Grinding of Brittle Materials","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":10,"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":"Grinding; Kinematics; Brittleness; Traverse; Flexural strength; Anisotropy; Materials science; Ultimate tensile strength; Population; Mechanical engineering; Structural engineering; Composite material; Engineering; Geology; Physics; Optics; Classical mechanics","score_opus":0.036861810168229626,"score_gpt":0.29571804051679734,"score_spread":0.2588562303485677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039935001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015061558,0.00022348108,0.97886753,0.00006526398,0.00010332709,0.000064320084,0.000023771554,0.00017913012,0.005411581],"genre_scores_gemma":[0.33919147,0.00073704874,0.64756745,0.000054956123,0.0000673384,0.0001873262,0.00009755891,0.00019115319,0.011905753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997826,0.000037618054,0.0000100711795,0.000038907718,0.00011233408,0.000018363779],"domain_scores_gemma":[0.9998646,0.00003242647,0.000029548944,0.000022214408,0.000037920687,0.000013355257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033437644,0.00065077527,0.000547509,0.0003417714,0.00031755268,0.00052565924,0.00080655457,0.00059199176,0.0031682372],"category_scores_gemma":[0.0005618535,0.0003595287,0.0004192996,0.000276795,0.00052924285,0.00056441856,0.00078630174,0.00060256483,0.00070173293],"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":[0.00016280734,0.00016327084,0.0008004084,0.00038331805,0.00003316955,0.00036216175,0.0002580133,0.4398613,0.15828381,0.19018586,0.002555617,0.2069503],"study_design_scores_gemma":[0.000042388987,0.0002525126,0.0005198533,0.00002349878,0.000011837359,0.0002243049,0.000040226238,0.96014166,0.01133362,0.017352507,0.010032833,0.00002477515],"about_ca_topic_score_codex":0.0006264571,"about_ca_topic_score_gemma":0.0022190993,"teacher_disagreement_score":0.0031682372,"about_ca_system_score_codex":0.00037955475,"about_ca_system_score_gemma":0.0005579835,"threshold_uncertainty_score":0.010598779},"labels":[],"label_agreement":null},{"id":"W2041295515","doi":"10.1016/j.cirp.2007.05.044","title":"Complexity of Multi-Disciplinary Design","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process 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 Windsor","funders":"","keywords":"Mechatronics; Discipline; Phenomenon; Systems engineering; Engineering; Product (mathematics); Computer science; Management science; Industrial engineering; Software engineering; Control engineering; Mathematics; Epistemology; Sociology","score_opus":0.16185587529975137,"score_gpt":0.321832802492459,"score_spread":0.15997692719270762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041295515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24749297,0.0020732703,0.68421745,0.0066536414,0.00020173192,0.00015255446,0.00045034484,0.0001650253,0.05859297],"genre_scores_gemma":[0.9364624,0.0008861838,0.05663994,0.00018178238,0.00014991876,0.00019341409,0.00020892158,0.000048575144,0.0052289204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966737,0.0015649094,0.00013091633,0.00040657277,0.0009521647,0.00027164913],"domain_scores_gemma":[0.9832398,0.013602769,0.0007886487,0.001119776,0.0006670155,0.0005820251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029434226,0.0005567863,0.0016735523,0.0010437369,0.0016217466,0.0043305913,0.0019221844,0.002273692,0.007302968],"category_scores_gemma":[0.020501455,0.0010909905,0.0015331892,0.0011140079,0.0031271174,0.0037761328,0.0028238748,0.0020095778,0.0003447659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045991248,0.000070633294,0.0018854282,0.0001418711,0.00007928967,0.00023589685,0.00023206195,0.41347966,0.00033448977,0.5673787,0.0017985717,0.01431745],"study_design_scores_gemma":[0.000019887777,0.000013904072,0.00049808715,0.000017878247,0.00001686224,0.00005158812,0.00012909144,0.34358054,0.00011270589,0.6536836,0.0018634482,0.000012400634],"about_ca_topic_score_codex":0.003274386,"about_ca_topic_score_gemma":0.0035333063,"teacher_disagreement_score":0.007302968,"about_ca_system_score_codex":0.002517556,"about_ca_system_score_gemma":0.0022340552,"threshold_uncertainty_score":0.024430871},"labels":[],"label_agreement":null},{"id":"W2042284509","doi":"10.1016/s0007-8506(07)60582-4","title":"Surface Generation with Engineered Diamond Grinding Wheels: Insights from Simulation","year":2003,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":74,"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":"Abrasive; Grinding; Offset (computer science); Surface roughness; Surface finish; Grinding wheel; Mechanical engineering; Materials science; Diamond; Computer science; Engineering; Composite material","score_opus":0.032006285299376235,"score_gpt":0.25397022462860475,"score_spread":0.2219639393292285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042284509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7071437,0.0007561154,0.23597325,0.0009938552,0.00021028522,0.00009584547,0.00023743935,0.00038484077,0.054204505],"genre_scores_gemma":[0.9876488,0.00017222104,0.009126851,0.000025824254,0.000008703305,0.000019834708,0.00004478337,0.000044446686,0.0029085884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987304,0.00002880584,0.0000042847964,0.000017247503,0.000042768414,0.00003383399],"domain_scores_gemma":[0.99941945,0.000331573,0.000048715978,0.00005843348,0.00009139684,0.000050451024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002990165,0.00035817394,0.0008487898,0.00043121303,0.0005246428,0.00097442616,0.00091575336,0.001417184,0.0030708176],"category_scores_gemma":[0.0014627178,0.00043520267,0.0005586602,0.00035780726,0.00084694615,0.00089686754,0.0004863599,0.00053566514,0.00024748428],"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":[0.000035085824,0.000040889856,0.0005658436,0.000026024485,0.000007397064,0.000064922344,0.00003725184,0.98188055,0.0022497606,0.012309363,0.00021702227,0.002565971],"study_design_scores_gemma":[0.000011281216,0.0000072744397,0.000106238236,0.0000014497937,0.0000015979961,0.000008044387,0.000009267029,0.99734724,0.00027946438,0.0020542613,0.00016991756,0.000003873852],"about_ca_topic_score_codex":0.011928367,"about_ca_topic_score_gemma":0.0071558673,"teacher_disagreement_score":0.011928367,"about_ca_system_score_codex":0.0009853443,"about_ca_system_score_gemma":0.00095379795,"threshold_uncertainty_score":0.02371788},"labels":[],"label_agreement":null},{"id":"W2043464967","doi":"10.1016/j.cirp.2011.03.123","title":"Predictive compliance based model for compensation in multi-pass milling by on-machine probing","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":50,"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":"Deflection (physics); Machine tool; Deflection angle; Compensation (psychology); Mechanical engineering; Variable (mathematics); Engineering; End milling; Control theory (sociology); Engineering drawing; Structural engineering; Computer science; Machining; Optics; Mathematics; Artificial intelligence; Physics; Mathematical analysis","score_opus":0.1491360141701295,"score_gpt":0.3110478690137052,"score_spread":0.16191185484357568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043464967","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045279574,0.000332829,0.9481015,0.0002020401,0.000096742624,0.000054311706,0.00007875403,0.0005801265,0.0052739955],"genre_scores_gemma":[0.97657794,0.00015455513,0.018369393,0.000055926852,0.00001664357,0.00008191892,0.000063731386,0.00005117445,0.0046287966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967647,0.000076740434,0.0000131653005,0.00007540176,0.00011566924,0.000042533225],"domain_scores_gemma":[0.9995912,0.00019813847,0.00005371115,0.000038402362,0.0001065119,0.0000120148925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005300627,0.00061154686,0.0011644851,0.00029795023,0.00044269318,0.000934296,0.0012216548,0.0016232475,0.0018852466],"category_scores_gemma":[0.0011533931,0.00053548184,0.00050692336,0.00042878604,0.00059129315,0.00085536786,0.00066709414,0.0010014218,0.00030228152],"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":[0.00006477219,0.000033442626,0.00022715559,0.000051536743,0.000012827017,0.000033232376,0.00003173757,0.9815894,0.0030316499,0.0015986295,0.0003282431,0.012997312],"study_design_scores_gemma":[0.0000019272786,0.0000071948057,0.0000617775,0.0000013197158,0.0000018564851,0.0000023682794,0.0000012047142,0.9994332,0.000280156,0.0001438942,0.00006330533,0.0000017921212],"about_ca_topic_score_codex":0.009116364,"about_ca_topic_score_gemma":0.0076737683,"teacher_disagreement_score":0.009116364,"about_ca_system_score_codex":0.0006978502,"about_ca_system_score_gemma":0.00093730073,"threshold_uncertainty_score":0.018126547},"labels":[],"label_agreement":null},{"id":"W2043840449","doi":"10.1016/j.cirp.2007.10.003","title":"Changeable Manufacturing - Classification, Design and Operation","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":983,"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","funders":"","keywords":"Control reconfiguration; Operationalization; Flexibility (engineering); Manufacturing engineering; Key (lock); Engineering; Plan (archaeology); Process (computing); Systems engineering; Control (management); Computer science; Process management; Industrial engineering; Embedded system; Artificial intelligence","score_opus":0.06398276853963272,"score_gpt":0.26159303105606335,"score_spread":0.19761026251643063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043840449","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07548115,0.040668346,0.6794739,0.003839545,0.0023609686,0.00030732123,0.00061794295,0.0016968718,0.19555391],"genre_scores_gemma":[0.68681586,0.0178787,0.21396886,0.0005369362,0.0010108548,0.00022355035,0.0014689598,0.00024713943,0.077849194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994159,0.000087450855,0.000047980666,0.00014077268,0.00023289447,0.00007499053],"domain_scores_gemma":[0.9994098,0.00012751108,0.00006174542,0.00023373679,0.00013483135,0.000032403375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047092943,0.0004731024,0.00052300195,0.0013032249,0.00071619893,0.0041871658,0.0012165513,0.00097090704,0.0042111925],"category_scores_gemma":[0.0010707899,0.00024913368,0.00053717475,0.002044925,0.001826994,0.0028829048,0.0006354525,0.001163429,0.0015666053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007156177,0.000053205964,0.0014872575,0.00022222663,0.000014556275,0.00013454018,0.0002882004,0.009504076,0.005022135,0.66505504,0.009621556,0.30852562],"study_design_scores_gemma":[0.000023073448,0.00015094945,0.0041288743,0.00015588464,0.000046798137,0.0014217925,0.00035161557,0.088511385,0.008989019,0.5455018,0.35066098,0.000057799567],"about_ca_topic_score_codex":0.0019138486,"about_ca_topic_score_gemma":0.0014884893,"teacher_disagreement_score":0.0042111925,"about_ca_system_score_codex":0.0017620433,"about_ca_system_score_gemma":0.00083486637,"threshold_uncertainty_score":0.014087796},"labels":[],"label_agreement":null},{"id":"W2045155239","doi":"10.1016/s0007-8506(07)60048-1","title":"Analytical Modeling of Tool Wear Progression During Turning Particulate Reinforced Metal Matrix Composites","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":68,"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; University of New Brunswick","funders":"","keywords":"Flank; Abrasion (mechanical); Volume fraction; Materials science; Tool wear; Particulates; Composite material; Matrix (chemical analysis); RADIUS; Machining; Metallurgy; Computer science","score_opus":0.023773981246029266,"score_gpt":0.27398495289914404,"score_spread":0.2502109716531148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045155239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94643474,0.00036952636,0.04343091,0.00007524256,0.000036142115,0.000035799927,0.00009133701,0.00019353628,0.009332804],"genre_scores_gemma":[0.99799675,0.000045361034,0.0010266495,0.0000029026226,0.000002472594,0.000004325646,0.000012473653,0.000010235236,0.0008988224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999267,0.000011835929,0.0000023511352,0.000008727449,0.000031363274,0.00001903696],"domain_scores_gemma":[0.99971277,0.00014421281,0.000035605113,0.000021675898,0.000072053306,0.000013589821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019868238,0.00029021563,0.00031716842,0.00036160057,0.0003259774,0.000399868,0.00051097776,0.00055298756,0.0008374837],"category_scores_gemma":[0.0007183459,0.00023209765,0.00033768473,0.0002363482,0.0003199769,0.00024086093,0.00015199896,0.00027763998,0.0001366432],"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":[0.00015354819,0.00006317576,0.0021066833,0.00006039516,0.000010957109,0.00030571732,0.00016750536,0.96089405,0.025662744,0.0011978012,0.00022939,0.009148069],"study_design_scores_gemma":[0.0000022013526,0.000022963552,0.0007881825,0.0000024434144,0.000002764598,0.000026020094,0.000025613468,0.9966898,0.002214568,0.000102671394,0.000119577206,0.000003300804],"about_ca_topic_score_codex":0.008224585,"about_ca_topic_score_gemma":0.0074147927,"teacher_disagreement_score":0.008224585,"about_ca_system_score_codex":0.00043571653,"about_ca_system_score_gemma":0.0003999702,"threshold_uncertainty_score":0.016353428},"labels":[],"label_agreement":null},{"id":"W2049007674","doi":"10.1016/j.cirp.2007.05.016","title":"Grain Size and Orientation Effects When Microcutting AISI 1045 Steel","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":66,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Grain size; Microstructure; Microscale chemistry; Dimple; Metallurgy; Grain boundary; Finite element method; Composite material; Shear (geology); Grain boundary strengthening; Shear stress; Structural engineering","score_opus":0.008004995428030367,"score_gpt":0.25838580706447933,"score_spread":0.250380811636449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049007674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967354,0.000122002646,0.00073000987,0.000019479305,0.000014076414,0.0000033333997,0.000027575057,0.000035084526,0.002313108],"genre_scores_gemma":[0.9990748,0.000032035343,0.00016198945,0.0000037393995,0.0000020480159,7.175321e-7,0.0000199295,0.000014862613,0.00068999425],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981433,0.00001736926,0.0000060770517,0.000030549487,0.000075618555,0.000056148496],"domain_scores_gemma":[0.9994049,0.0002584537,0.00010147317,0.00004036435,0.00015458753,0.000040153613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021744653,0.00022021105,0.00026861316,0.00027839487,0.00041482155,0.0004940081,0.00024894398,0.00024243061,0.0027090902],"category_scores_gemma":[0.0009820932,0.0002292598,0.0001587718,0.0003245692,0.00036393286,0.00029509494,0.00016275207,0.00019935527,0.00019432949],"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":[0.003090397,0.00022190226,0.020774405,0.0001511713,0.00004919735,0.0007928345,0.00026453572,0.16821991,0.7842681,0.0016083256,0.00085233635,0.019707039],"study_design_scores_gemma":[0.000065988155,0.00152964,0.11812979,0.000016535078,0.00013315603,0.00026133616,0.00065616,0.20308389,0.6740091,0.00045575143,0.001596944,0.00006174875],"about_ca_topic_score_codex":0.01082681,"about_ca_topic_score_gemma":0.031805012,"teacher_disagreement_score":0.01082681,"about_ca_system_score_codex":0.00081538426,"about_ca_system_score_gemma":0.00054202764,"threshold_uncertainty_score":0.021527529},"labels":[],"label_agreement":null},{"id":"W2049085422","doi":"10.1016/s0007-8506(07)62943-6","title":"Sliding Mode Controller Design for High Speed Feed Drives","year":2000,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":172,"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 theory (sociology); Feed forward; Machining; Servo; Compensation (psychology); Servomechanism; Controller (irrigation); Control engineering; Trajectory; Machine tool; Engineering; Sliding mode control; Electronic speed control; Servo control; Mode (computer interface); Computer science; Control (management); Mechanical engineering; Artificial intelligence; Nonlinear system","score_opus":0.03338020918650502,"score_gpt":0.268041418823664,"score_spread":0.23466120963715897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049085422","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020460173,0.00042929698,0.97371846,0.00010663935,0.00008237496,0.000046466062,0.000017928003,0.00024216033,0.004896513],"genre_scores_gemma":[0.9193421,0.0005084611,0.07007117,0.000085004795,0.000060122755,0.0001700139,0.000064951004,0.000043210246,0.00965488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998153,0.00003772354,0.000011919266,0.000026969623,0.00009177628,0.000016323245],"domain_scores_gemma":[0.9997136,0.00010069414,0.00002889462,0.0000241594,0.00012256046,0.000010203817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043952838,0.0004567108,0.00041737882,0.00029929687,0.00033176536,0.00087242573,0.000569002,0.0008016568,0.0026695381],"category_scores_gemma":[0.0010345416,0.0002566969,0.00021394016,0.00029627667,0.00035905142,0.0004201178,0.00042860603,0.0006659266,0.00045691067],"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":[0.00035908647,0.00012478558,0.0006477008,0.00058434956,0.00008308145,0.00021725665,0.0005034785,0.61124927,0.03919978,0.021669125,0.003422074,0.32194],"study_design_scores_gemma":[0.000036381214,0.0002299219,0.00032539328,0.000020091617,0.000014242226,0.000042250067,0.00003144427,0.9870221,0.0052202228,0.0047579105,0.0022884835,0.000011611092],"about_ca_topic_score_codex":0.0020105478,"about_ca_topic_score_gemma":0.0020145809,"teacher_disagreement_score":0.0026695381,"about_ca_system_score_codex":0.00024824098,"about_ca_system_score_gemma":0.00045723355,"threshold_uncertainty_score":0.008930504},"labels":[],"label_agreement":null},{"id":"W2052526398","doi":"10.1016/s0007-8506(07)60602-7","title":"Modelling of Manufacturing Systems Complexity","year":2003,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Complexity management; Computer science; Product (mathematics); Process (computing); Manufacturing engineering; Feature (linguistics); Industrial engineering; Systems engineering; Engineering; Mathematics; Business","score_opus":0.1277219486410196,"score_gpt":0.24687257622642553,"score_spread":0.11915062758540593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052526398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12160765,0.0013655865,0.79652494,0.002573911,0.00014364641,0.0000926383,0.0004942446,0.00029724473,0.07690016],"genre_scores_gemma":[0.93725884,0.00076502695,0.04988705,0.000088344124,0.00012063252,0.00011183133,0.00025856562,0.00009839355,0.011411312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999405,0.00024996026,0.000024782528,0.00007628476,0.00016817456,0.00007575033],"domain_scores_gemma":[0.99779785,0.0015437901,0.00018990735,0.00014646367,0.00019451341,0.00012748486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000702404,0.0007291836,0.0008189298,0.0010483384,0.0006512664,0.0023117804,0.0012961444,0.0016043801,0.005746739],"category_scores_gemma":[0.0050956393,0.000739407,0.0013904294,0.001014498,0.0014422107,0.002310151,0.0013487495,0.0013315756,0.00044230066],"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":[0.000010581188,0.000015751917,0.0003066852,0.000031396714,0.000017924316,0.00005242513,0.000076263794,0.86025333,0.00028108602,0.13573158,0.00043230574,0.0027907165],"study_design_scores_gemma":[0.0000043562122,0.000005467443,0.00012498528,0.0000049532346,0.000004791628,0.00001627921,0.000016103108,0.93491906,0.000049814855,0.063738726,0.0011113374,0.0000042193315],"about_ca_topic_score_codex":0.012058868,"about_ca_topic_score_gemma":0.006485599,"teacher_disagreement_score":0.012058868,"about_ca_system_score_codex":0.0020742854,"about_ca_system_score_gemma":0.0011910399,"threshold_uncertainty_score":0.02397734},"labels":[],"label_agreement":null},{"id":"W2055084924","doi":"10.1016/s0007-8506(07)60375-8","title":"The Effect of Microstructure on Chip Formation and Surface Defects in Microscale, Mesoscale, and Macroscale Cutting of Steel","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":48,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microscale chemistry; Dimple; Microstructure; Materials science; Chip formation; Mesoscale meteorology; Homogeneous; Chip; Composite material; Surface (topology); Metallurgy; Machining; Geometry; Geology; Tool wear; Thermodynamics; Engineering","score_opus":0.003917387193084762,"score_gpt":0.2235716687925298,"score_spread":0.21965428159944503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055084924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861646,0.00026708533,0.0004894725,0.000021296528,0.0000062996983,0.0000019257316,0.000015554015,0.0000144089345,0.000567519],"genre_scores_gemma":[0.99958843,0.000055800614,0.00018946866,0.000004129304,0.0000027955118,7.880585e-7,0.000007833473,0.000004395341,0.00014640667],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992204,0.000011510077,0.0000038026062,0.000012772259,0.000029307399,0.000020477293],"domain_scores_gemma":[0.9994424,0.00024367332,0.00012356197,0.000045557153,0.000100771525,0.000044002492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019362202,0.00007914702,0.00014812124,0.000190993,0.00017823697,0.00031550968,0.0001594629,0.00020791798,0.0005388303],"category_scores_gemma":[0.00079581334,0.00019598969,0.00012916283,0.00011221258,0.00032377648,0.00018587132,0.00013745093,0.00017332155,0.000072454706],"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":[0.00071663194,0.00012582469,0.021815797,0.00012047224,0.00004670416,0.00030592395,0.00012212388,0.032667022,0.92407703,0.00108939,0.00030026186,0.018612824],"study_design_scores_gemma":[0.00011444755,0.0017444063,0.31632352,0.000017293982,0.0001103207,0.00045901953,0.00019545293,0.12571788,0.5531579,0.00092662877,0.0011780235,0.00005502529],"about_ca_topic_score_codex":0.0015295692,"about_ca_topic_score_gemma":0.0036712724,"teacher_disagreement_score":0.0015295692,"about_ca_system_score_codex":0.00039908162,"about_ca_system_score_gemma":0.0001898734,"threshold_uncertainty_score":0.003041327},"labels":[],"label_agreement":null},{"id":"W2056561202","doi":"10.1016/s0007-8506(07)61548-0","title":"Integrated Virtual Manufacturing Systems for Process Optimisation and Monitoring","year":2002,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":26,"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":"Process (computing); Software; Virtual prototyping; Rapid prototyping; Engineering; Manufacturing engineering; Computer science; Systems engineering; Mechanical engineering; Operating system","score_opus":0.040994836362166734,"score_gpt":0.2522648379956163,"score_spread":0.21127000163344956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056561202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040867772,0.0007604576,0.945557,0.00012295089,0.00022036239,0.00007494022,0.0002118574,0.0043221237,0.007862545],"genre_scores_gemma":[0.7686152,0.00044437722,0.22398928,0.00012508569,0.00007930385,0.0001227618,0.00040483108,0.00018301609,0.006036183],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986873,0.0003885118,0.00005001063,0.00017037254,0.00061597227,0.000087765366],"domain_scores_gemma":[0.9988714,0.00031576486,0.0001098882,0.00036967703,0.0002795095,0.000053824144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010449244,0.0007169402,0.0008409422,0.00074185967,0.00038719104,0.0020593463,0.001443079,0.0007691207,0.005603183],"category_scores_gemma":[0.0018858084,0.00045886828,0.00038430674,0.0009840848,0.00041035903,0.001351877,0.0017309776,0.0006353048,0.00090344844],"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":[0.0017985337,0.00034336504,0.0025169419,0.00029661093,0.00020986122,0.00017923687,0.0002317966,0.3011676,0.08352967,0.028707447,0.008816103,0.57220286],"study_design_scores_gemma":[0.000121395555,0.0006165016,0.0022246665,0.000042079202,0.00011738859,0.00019811791,0.00005780381,0.91500676,0.043175075,0.013036109,0.02534126,0.00006280393],"about_ca_topic_score_codex":0.0011151853,"about_ca_topic_score_gemma":0.0012791766,"teacher_disagreement_score":0.005603183,"about_ca_system_score_codex":0.0006440796,"about_ca_system_score_gemma":0.00072071265,"threshold_uncertainty_score":0.018744528},"labels":[],"label_agreement":null},{"id":"W2057953922","doi":"10.1016/j.cirp.2010.03.086","title":"Precision machine tool X – Y stage utilizing a planar air bearing arrangement","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","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 Waterloo","funders":"","keywords":"Air bearing; Bearing (navigation); Vibration; Metrology; Machine tool; Planar; Mechanical engineering; Stiffness; Multivariable calculus; Work (physics); Precision engineering; Machining; Engineering; Control theory (sociology); Computer science; Acoustics; Structural engineering; Control engineering; Physics; Optics; Control (management); Miniaturization; Electrical engineering; Artificial intelligence","score_opus":0.03897817612388595,"score_gpt":0.2887896392362062,"score_spread":0.24981146311232025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057953922","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20993325,0.0002526616,0.75758386,0.0002280947,0.0003192882,0.00039918642,0.00026537813,0.00400091,0.027017375],"genre_scores_gemma":[0.5340606,0.00009815871,0.45065176,0.000047711164,0.00006102403,0.00008806856,0.00019539695,0.00008907177,0.01470823],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993205,0.000033911172,0.000035517125,0.00014456567,0.00040395948,0.000061517334],"domain_scores_gemma":[0.99959844,0.000050560837,0.000061564664,0.00013308575,0.00012815403,0.000028252913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003960808,0.0003430445,0.00039261385,0.0006029716,0.000509878,0.00044842137,0.0009004724,0.00043561312,0.0058269165],"category_scores_gemma":[0.00059561676,0.00050096866,0.00024616244,0.00055412465,0.00044938442,0.0006682446,0.0007984297,0.0005614129,0.0018430277],"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":[0.0003993968,0.00007593924,0.0015401387,0.00019725547,0.000018922361,0.00009349894,0.00008553271,0.0015537258,0.9064226,0.0056724306,0.0018198482,0.08212071],"study_design_scores_gemma":[0.0002512091,0.003787264,0.023219122,0.000030977957,0.00008121416,0.0023999615,0.00011782349,0.03527759,0.8739207,0.0016134253,0.0591695,0.00013116874],"about_ca_topic_score_codex":0.00072325877,"about_ca_topic_score_gemma":0.0019684995,"teacher_disagreement_score":0.0058269165,"about_ca_system_score_codex":0.00023610407,"about_ca_system_score_gemma":0.0009841607,"threshold_uncertainty_score":0.019492984},"labels":[],"label_agreement":null},{"id":"W2058851829","doi":"10.1016/s0007-8506(07)60141-3","title":"Manufacturing Systems Configuration Complexity","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":125,"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","funders":"","keywords":"Coding (social sciences); Machining; Complexity index; Computer science; Code (set theory); Reliability engineering; Engineering; Industrial engineering; Algorithm; Mechanical engineering; Mathematics; Boolean function","score_opus":0.06971361658761938,"score_gpt":0.255128393892902,"score_spread":0.1854147773052826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058851829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50104827,0.0014082396,0.27749878,0.0053961053,0.00018926554,0.00016987242,0.0009455461,0.00095291017,0.212391],"genre_scores_gemma":[0.978918,0.0003810892,0.013548914,0.00012456426,0.00008376466,0.000054599936,0.0003910538,0.000077462115,0.0064204633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974337,0.00056082767,0.00011841247,0.00045541013,0.0011423527,0.00028937488],"domain_scores_gemma":[0.98901576,0.0071256235,0.0009921766,0.0015277877,0.000981427,0.00035728762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012391254,0.00047814683,0.0005764488,0.0019747505,0.0011339821,0.004387014,0.000842139,0.0010270473,0.025261983],"category_scores_gemma":[0.015536659,0.0006496379,0.00086408487,0.0023987826,0.0013250547,0.0063108555,0.0019837797,0.0015487891,0.0015820083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025610853,0.00013069267,0.016502732,0.00025683644,0.0001461086,0.0011261358,0.00066057534,0.19997294,0.0048664403,0.62647504,0.010861494,0.13874486],"study_design_scores_gemma":[0.00003361091,0.000089556976,0.011247716,0.00006306959,0.00007910592,0.0016678342,0.0007510781,0.4393029,0.0032434387,0.527209,0.01626277,0.000049994644],"about_ca_topic_score_codex":0.0016548424,"about_ca_topic_score_gemma":0.0018272183,"teacher_disagreement_score":0.025261983,"about_ca_system_score_codex":0.002217837,"about_ca_system_score_gemma":0.0011944631,"threshold_uncertainty_score":0.08450973},"labels":[],"label_agreement":null},{"id":"W2058887939","doi":"10.1016/s0007-8506(07)62890-x","title":"Improving Productivity and Part Quality in Milling of Titanium Based Impellers by Chatter Suppression and Force Control","year":2000,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Pratt and Whitney Canada","keywords":"Impeller; Mechanical engineering; Vibration; End milling; Milling cutter; Engineering; Machining; Tool wear; Constant (computer programming); Variable (mathematics); Control theory (sociology); Materials science; Structural engineering; Control (management); Computer science; Acoustics; Mathematics; Physics","score_opus":0.010869718245735033,"score_gpt":0.248796980827399,"score_spread":0.23792726258166397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058887939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695179,0.00055443094,0.028750878,0.00004394595,0.000022033651,0.000010723331,0.00001302399,0.000076922675,0.0010101714],"genre_scores_gemma":[0.9934929,0.0001582065,0.005677853,0.000008054727,0.0000065902027,0.000004830866,0.00001561734,0.00001227938,0.0006236822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997192,0.000035481382,0.000012426234,0.000033055887,0.00014559134,0.00005421116],"domain_scores_gemma":[0.9994223,0.00021904752,0.00015035747,0.000032309756,0.00013736184,0.000038611786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312198,0.00039149707,0.0003859703,0.00046966947,0.00039859934,0.0004676335,0.0006773691,0.000384304,0.00055613817],"category_scores_gemma":[0.0007076322,0.00019216372,0.00033735426,0.00042373463,0.00045767965,0.00040896313,0.00029813463,0.00031203488,0.000117843425],"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":[0.0013432364,0.00010965764,0.0017867135,0.000118237214,0.000017088436,0.000094721385,0.00012859817,0.009381135,0.95792264,0.00038488643,0.000110919995,0.02860208],"study_design_scores_gemma":[0.0000714787,0.0013336188,0.007971247,0.000007378972,0.00006008431,0.0001240023,0.000102456106,0.07681529,0.9128589,0.00013920481,0.0004893883,0.000026883698],"about_ca_topic_score_codex":0.0014580291,"about_ca_topic_score_gemma":0.0023181227,"teacher_disagreement_score":0.0014580291,"about_ca_system_score_codex":0.00033099862,"about_ca_system_score_gemma":0.0002789172,"threshold_uncertainty_score":0.0028991103},"labels":[],"label_agreement":null},{"id":"W2061553944","doi":"10.1016/s0007-8506(07)60455-7","title":"Availability Assessment of Multi-State Manufacturing Systems Using Universal Generating Function","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","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":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Generalization; Production (economics); Function (biology); Computer science; State (computer science); Flexible manufacturing system; Reliability engineering; Engineering; Manufacturing engineering; Industrial engineering; Algorithm; Mathematics; Operations management; Scheduling (production processes)","score_opus":0.03920654370786703,"score_gpt":0.26412647733233163,"score_spread":0.2249199336244646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061553944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55315,0.00051429175,0.4422264,0.00019171229,0.000028313601,0.000055525874,0.00017462239,0.0006139818,0.0030452185],"genre_scores_gemma":[0.9957402,0.000038030626,0.0040321876,0.0000055761393,0.000008338301,0.000010326066,0.00004037609,0.000010967862,0.00011409206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984396,0.00079333305,0.00007481732,0.00013677197,0.0004239009,0.00013155666],"domain_scores_gemma":[0.986896,0.010785291,0.00071047444,0.00057993265,0.0009148845,0.000113319424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029460955,0.0005985675,0.0009651064,0.0015933197,0.00037018643,0.00087471557,0.00076847855,0.00090744713,0.0015406272],"category_scores_gemma":[0.010589841,0.00031502097,0.00073222106,0.00077454874,0.0005742235,0.0014735325,0.0008161293,0.0004249644,0.000120704986],"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":[0.00043882642,0.000032540644,0.002857334,0.00008489079,0.00006919669,0.00010528962,0.000053593285,0.9721165,0.0030342732,0.004097113,0.00013582078,0.016974669],"study_design_scores_gemma":[0.0000047286876,0.00005623529,0.0009758952,0.0000031082047,0.000013560837,0.00002623227,0.000007366665,0.99666387,0.0008495788,0.0013572469,0.000035869456,0.000006254769],"about_ca_topic_score_codex":0.0017665463,"about_ca_topic_score_gemma":0.0011718302,"teacher_disagreement_score":0.0029460955,"about_ca_system_score_codex":0.0008162456,"about_ca_system_score_gemma":0.00043641988,"threshold_uncertainty_score":0.015580595},"labels":[],"label_agreement":null},{"id":"W2062750487","doi":"10.1016/j.cirp.2009.03.100","title":"Characterization of the dry high speed drilling process of woven composites using Machinability Maps approach","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"National Research Council Canada","keywords":"Machinability; Delamination (geology); Drilling; Materials science; Tool wear; Thrust; Composite material; Surface roughness; Fiber; Surface finish; Machining; Characterization (materials science); Thermal; Mechanical engineering; Geology; Metallurgy; Engineering","score_opus":0.017574915075916048,"score_gpt":0.2586302418408275,"score_spread":0.24105532676491145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062750487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97993636,0.00018899232,0.018175783,0.00001680999,0.0000075539488,0.00001886402,0.00010336556,0.000080291094,0.0014719166],"genre_scores_gemma":[0.9930642,0.000051705734,0.0060474267,0.000003680887,0.000001895801,0.000010340546,0.00006934813,0.000016999824,0.00073435635],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998227,0.000014700173,0.0000068504232,0.000019745512,0.00012108045,0.000015072089],"domain_scores_gemma":[0.9995746,0.00014256193,0.00007988675,0.000047736965,0.000140018,0.000015306794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024011254,0.00021643363,0.00021634469,0.00053977384,0.0002140326,0.00033333947,0.00018222131,0.00027789184,0.00084895844],"category_scores_gemma":[0.0005067376,0.00020339168,0.00017315967,0.00032753966,0.0002395539,0.00036726784,0.00014294071,0.00020525824,0.00012317873],"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":[0.00023572493,0.00002446386,0.0013646904,0.000060015882,0.0000052634196,0.000048720405,0.00008498935,0.0029067255,0.9869992,0.00018660382,0.000051414852,0.008032231],"study_design_scores_gemma":[0.000012530424,0.00045264472,0.029453503,0.000005253783,0.00001879648,0.000149364,0.000101928235,0.033751745,0.9346294,0.0001414877,0.0012657604,0.000017671726],"about_ca_topic_score_codex":0.0009233258,"about_ca_topic_score_gemma":0.0014008671,"teacher_disagreement_score":0.0009233258,"about_ca_system_score_codex":0.00016058271,"about_ca_system_score_gemma":0.00018480782,"threshold_uncertainty_score":0.002840042},"labels":[],"label_agreement":null},{"id":"W2064063827","doi":"10.1016/j.cirp.2013.03.084","title":"Feedrate optimization for freeform milling considering constraints from the feed drive system and process mechanics","year":2013,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":85,"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":"Jerk; Machining; Acceleration; Mechanical engineering; Engineering; Process (computing); Limiting; Actuator; Machine tool; Control theory (sociology); Control engineering; Computer science; Control (management); Artificial intelligence; Physics","score_opus":0.017447378460688636,"score_gpt":0.23596375232694933,"score_spread":0.2185163738662607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064063827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13648461,0.0009055624,0.8422145,0.00025807004,0.000095409996,0.0001352735,0.00023408994,0.00028402975,0.019388502],"genre_scores_gemma":[0.899853,0.00045479022,0.087264575,0.00005546392,0.0000435186,0.00016122067,0.0002561311,0.00025802947,0.01165322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963367,0.00009649709,0.0000149714615,0.00004959278,0.00013142076,0.000073766794],"domain_scores_gemma":[0.9992331,0.0004994912,0.00007398454,0.000036558493,0.00011838526,0.00003840787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011130738,0.0013285663,0.0018487701,0.00086089404,0.00046657448,0.0017842886,0.0008707071,0.0018373346,0.0037957355],"category_scores_gemma":[0.0025774166,0.001142264,0.0010869509,0.0007888497,0.000665402,0.0012509765,0.0010161104,0.001012972,0.0004721678],"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":[0.00007453518,0.00003528689,0.00021122902,0.00007752665,0.000017031205,0.000036731282,0.000022561735,0.98598087,0.0018377677,0.0030952794,0.00024080499,0.008370432],"study_design_scores_gemma":[0.000013203465,0.000049760445,0.00016949922,0.000006863933,0.0000059418703,0.000010097144,0.0000095310725,0.99755764,0.0007484272,0.00118447,0.00023765929,0.0000067648743],"about_ca_topic_score_codex":0.005651606,"about_ca_topic_score_gemma":0.0067546545,"teacher_disagreement_score":0.005651606,"about_ca_system_score_codex":0.00091859966,"about_ca_system_score_gemma":0.0014289784,"threshold_uncertainty_score":0.012698054},"labels":[],"label_agreement":null},{"id":"W2064468049","doi":"10.1016/j.cirp.2010.05.008","title":"SPECIES—Co-evolution of products, processes and production systems","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":247,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; University of Windsor","funders":"Engineering and Physical Sciences Research Council","keywords":"Technological evolution; Framing (construction); Computer science; Production (economics); Sustainability; Industrial production; Management science; Systems engineering; Manufacturing engineering; Engineering","score_opus":0.020826225945695616,"score_gpt":0.22442259542889684,"score_spread":0.20359636948320123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064468049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58454436,0.009983784,0.33801314,0.006033287,0.00082709454,0.00006558126,0.00029969992,0.00042538464,0.059807688],"genre_scores_gemma":[0.9693676,0.00227866,0.022805106,0.00022130986,0.00015207418,0.000026961678,0.00009249838,0.00005328885,0.0050024786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99939644,0.00021655932,0.000024494993,0.00019491297,0.00011626337,0.000051227384],"domain_scores_gemma":[0.9987262,0.0005625852,0.00021869526,0.00021655715,0.00011553427,0.00016049894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000871871,0.00028013592,0.00044282168,0.00082586205,0.00083114125,0.0025265815,0.0008566587,0.0013573084,0.0027473215],"category_scores_gemma":[0.0035408037,0.00033623946,0.00042038562,0.0009724481,0.002617605,0.0039796135,0.0013222382,0.00090932107,0.0004357643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011095164,0.00004363848,0.010538606,0.00022115339,0.00017511733,0.00048737452,0.00066098326,0.040614102,0.024900515,0.8520697,0.001967026,0.06821092],"study_design_scores_gemma":[0.000029491446,0.00013920224,0.008752098,0.000042122094,0.000069548,0.0008513288,0.00043417004,0.080392,0.0035386942,0.872108,0.033569843,0.00007344283],"about_ca_topic_score_codex":0.0011659486,"about_ca_topic_score_gemma":0.00086648075,"teacher_disagreement_score":0.0027473215,"about_ca_system_score_codex":0.0009391141,"about_ca_system_score_gemma":0.00062183803,"threshold_uncertainty_score":0.009190738},"labels":[],"label_agreement":null},{"id":"W2066272284","doi":"10.1016/j.cirp.2011.05.004","title":"Assembly system design and operations for product variety","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":510,"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","funders":"","keywords":"Variety (cybernetics); Mass customization; Remanufacturing; Manufacturing engineering; Context (archaeology); Product (mathematics); Engineering; Modular design; Systems engineering; Design for assembly; Component (thermodynamics); Computer science; Personalization; Mechanical engineering; Design for manufacturability; World Wide Web","score_opus":0.07002422213141116,"score_gpt":0.24501515120279868,"score_spread":0.17499092907138752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066272284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101604186,0.0009544174,0.8507045,0.00037133045,0.000096972326,0.00015170855,0.00016332549,0.0002975333,0.045655973],"genre_scores_gemma":[0.8427812,0.000567341,0.14150333,0.00003864727,0.00006221358,0.00013356656,0.00016116274,0.0001471762,0.014605399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993781,0.00024750436,0.000020505619,0.00010794089,0.00017389793,0.00007196979],"domain_scores_gemma":[0.99959713,0.00019494523,0.000045280303,0.00004490968,0.000098581106,0.000019154355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070393924,0.0007097012,0.0006175131,0.00085162645,0.00086083054,0.0016645668,0.000672531,0.0005653786,0.011209488],"category_scores_gemma":[0.0017295716,0.00040254625,0.00091028976,0.0008530384,0.0006483337,0.0012560568,0.000660163,0.00064100296,0.00079320883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034734394,0.000103007755,0.001493954,0.00024979457,0.000034206863,0.00011096741,0.00022730697,0.7547854,0.010149188,0.10538162,0.0024083746,0.1247088],"study_design_scores_gemma":[0.00003556792,0.00054909947,0.0018604073,0.000040394545,0.000056950885,0.00009173905,0.00022344662,0.941905,0.0054197432,0.039553773,0.010234924,0.000029048078],"about_ca_topic_score_codex":0.0038113317,"about_ca_topic_score_gemma":0.0053590317,"teacher_disagreement_score":0.011209488,"about_ca_system_score_codex":0.0010803847,"about_ca_system_score_gemma":0.0014911529,"threshold_uncertainty_score":0.037499487},"labels":[],"label_agreement":null},{"id":"W2068221441","doi":"10.1016/j.cirp.2007.10.010","title":"A SCIENTIFIC FOUNDATION OF COLLABORATIVE ENGINEERING","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":221,"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","funders":"","keywords":"Collaborative engineering; Health systems engineering; Foundation (evidence); Domain (mathematical analysis); Biological systems engineering; Field (mathematics); Engineering management; Engineering; Engineering ethics; Interdisciplinarity; Grand Challenges; Knowledge management; Computer science; Civil engineering software; Work in process; Sociology; Political science","score_opus":0.027982673241949366,"score_gpt":0.3085628088212399,"score_spread":0.2805801355792905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068221441","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0151784485,0.018291922,0.40554854,0.16509764,0.0045921057,0.00020930207,0.0002755948,0.00035589005,0.3904505],"genre_scores_gemma":[0.7682919,0.015935153,0.15931758,0.011411468,0.009880027,0.0011253974,0.0002775197,0.00031004057,0.033451],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9863326,0.006396575,0.0007124967,0.0016601019,0.004259538,0.00063859596],"domain_scores_gemma":[0.92910415,0.04732927,0.0025244288,0.011475988,0.0074857795,0.002080467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020704905,0.0007605133,0.001063408,0.0044861436,0.0068052174,0.009777355,0.0025253992,0.0074125575,0.010343649],"category_scores_gemma":[0.05120332,0.0007352428,0.0010532767,0.0032913475,0.035416007,0.019905547,0.0062401975,0.007669902,0.002347918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033501603,0.000011558786,0.000077650184,0.000033828805,0.0000039657502,0.000011582996,0.00022835414,0.00024675176,0.000018542012,0.9939267,0.0017644562,0.003673156],"study_design_scores_gemma":[0.000010906061,0.000007917826,0.00007888346,0.00006152086,0.0000029698901,0.000023243772,0.00013194905,0.0007093363,0.000066524924,0.97885066,0.020049298,0.0000069204434],"about_ca_topic_score_codex":0.0026976974,"about_ca_topic_score_gemma":0.0014451349,"teacher_disagreement_score":0.020704905,"about_ca_system_score_codex":0.005083656,"about_ca_system_score_gemma":0.008971194,"threshold_uncertainty_score":0.109499335},"labels":[],"label_agreement":null},{"id":"W2069230956","doi":"10.1016/j.cirp.2014.03.126","title":"Time-optimized hole sequence planning for 5-axis on-the-fly laser drilling","year":2014,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Surface Polishing Techniques","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; Pratt and Whitney Canada","keywords":"Trajectory; Drilling; Spline (mechanical); Laser drilling; Smoothness; Acceleration; Process (computing); Mechanical engineering; Computer science; Laser; Engineering; Algorithm; Mathematics; Optics; Physics; Mathematical analysis","score_opus":0.06163251623647531,"score_gpt":0.3088380272865807,"score_spread":0.2472055110501054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069230956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044167176,0.0002317432,0.9497011,0.000065023276,0.0000388291,0.000092965834,0.00014951125,0.0010365596,0.0045170975],"genre_scores_gemma":[0.5617171,0.00017189162,0.43467525,0.000025121297,0.000009257116,0.00008387712,0.0003133514,0.00018571493,0.0028184848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996741,0.000049085287,0.00001959062,0.000050009225,0.00015967357,0.000047604502],"domain_scores_gemma":[0.99957794,0.00020746505,0.00005005709,0.000040201754,0.00008929695,0.00003514796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036249124,0.0007046561,0.0006148284,0.00051003374,0.00033732306,0.00074359693,0.0007155208,0.0008269216,0.0039278404],"category_scores_gemma":[0.0010652437,0.00065440993,0.00048992643,0.000339235,0.0002870155,0.0007149582,0.0008843312,0.00062928523,0.0005165157],"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":[0.0007103809,0.000117658776,0.0018226799,0.0002770531,0.00004105894,0.00036926818,0.00036755658,0.72567165,0.040145498,0.005598298,0.0032790096,0.22159986],"study_design_scores_gemma":[0.000012833754,0.00008871148,0.00044078965,0.000009876177,0.0000064011538,0.00012654894,0.00006332969,0.9910641,0.0058080126,0.0011730556,0.0011892319,0.000017192635],"about_ca_topic_score_codex":0.004988628,"about_ca_topic_score_gemma":0.010215537,"teacher_disagreement_score":0.004988628,"about_ca_system_score_codex":0.00041718016,"about_ca_system_score_gemma":0.0017773473,"threshold_uncertainty_score":0.013139904},"labels":[],"label_agreement":null},{"id":"W2069528629","doi":"10.1016/j.cirp.2008.03.048","title":"Identification of dynamic cutting force coefficients and chatter stability with process damping","year":2008,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":348,"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":"Sandvik Coromant","keywords":"Acceleration; Control theory (sociology); Process (computing); Nyquist stability criterion; Machine tool; Stability (learning theory); Engineering; Cutting tool; Servo; Structural engineering; Mechanical engineering; Computer science; Mathematics; Physics; Classical mechanics","score_opus":0.016892360455651376,"score_gpt":0.2667385789488624,"score_spread":0.249846218493211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069528629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07107192,0.000108326436,0.9266219,0.000047964153,0.000014539824,0.000029857494,0.000013950912,0.000121842095,0.0019697463],"genre_scores_gemma":[0.9292546,0.00009575459,0.0683488,0.000015127504,0.000011117852,0.000065953165,0.00003537994,0.000040524403,0.0021327254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963033,0.00010366265,0.000016038635,0.00007019539,0.00014809913,0.000031574462],"domain_scores_gemma":[0.997846,0.0014461887,0.00018643601,0.00014447438,0.00033990815,0.00003699583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009894511,0.000843252,0.0005834845,0.00059584476,0.00026358664,0.0006142047,0.0007275441,0.000763472,0.0011661607],"category_scores_gemma":[0.00509769,0.00048761416,0.00038127557,0.00026342587,0.0005400517,0.0009130534,0.0007909716,0.0007302455,0.00021910107],"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":[0.00054857106,0.00014368272,0.0026825757,0.00038193725,0.00008086217,0.0002081198,0.00040642003,0.7388061,0.09112994,0.020822939,0.00045554622,0.14433326],"study_design_scores_gemma":[0.000013410651,0.000045285084,0.00051714753,0.00000833697,0.0000089098685,0.000040385738,0.000011715276,0.9910398,0.006614872,0.0015123956,0.00017924506,0.000008497738],"about_ca_topic_score_codex":0.0009347555,"about_ca_topic_score_gemma":0.0011126212,"teacher_disagreement_score":0.0011661607,"about_ca_system_score_codex":0.00022168193,"about_ca_system_score_gemma":0.00043049656,"threshold_uncertainty_score":0.005232811},"labels":[],"label_agreement":null},{"id":"W2069543178","doi":"10.1016/s0007-8506(07)60443-0","title":"High Bandwidth Control of Ball Screw Drives","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":95,"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":"Control theory (sociology); Ball screw; Feed forward; Traverse; Vibration; Bandwidth (computing); Ball (mathematics); Engineering; Computer science; Acoustics; Physics; Control engineering; Mechanical engineering; Control (management); Mathematics","score_opus":0.00662318079420863,"score_gpt":0.2051066271697855,"score_spread":0.19848344637557688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069543178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12209288,0.0014061619,0.8558165,0.00045949436,0.00019766741,0.000030078474,0.000023280376,0.00041638096,0.019557575],"genre_scores_gemma":[0.9864732,0.00025459373,0.009599956,0.000029061643,0.000023573515,0.000020843152,0.000007956673,0.000021134509,0.003569785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971586,0.000075509,0.000010107233,0.0000341627,0.00013617244,0.000028062475],"domain_scores_gemma":[0.9994634,0.00029154425,0.000053483534,0.000040989064,0.00012271479,0.00002788861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045665598,0.00030076256,0.00032813285,0.0003459019,0.00028280253,0.0007971073,0.0004000554,0.00044374945,0.0022424774],"category_scores_gemma":[0.002244952,0.00016380048,0.00011478934,0.000304091,0.0005580489,0.00046690635,0.0005437018,0.0004657442,0.0003421057],"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":[0.0012447891,0.00014602682,0.0007860616,0.0005384216,0.00005039247,0.0001878639,0.0006241709,0.40568957,0.107026204,0.13798967,0.0035184834,0.34219834],"study_design_scores_gemma":[0.00004214633,0.000281659,0.0005957478,0.00003375448,0.000011067263,0.000097945325,0.0000689981,0.94204974,0.011947527,0.04054224,0.0043040807,0.00002510938],"about_ca_topic_score_codex":0.0010463947,"about_ca_topic_score_gemma":0.0009989315,"teacher_disagreement_score":0.0022424774,"about_ca_system_score_codex":0.00024480096,"about_ca_system_score_gemma":0.00023397045,"threshold_uncertainty_score":0.0075018406},"labels":[],"label_agreement":null},{"id":"W2072388321","doi":"10.1016/j.cirp.2012.03.004","title":"An energy based analysis of broaching operation: Cutting forces and resultant surface integrity","year":2012,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Broaching; Surface integrity; Machining; Mechanical engineering; Indentation hardness; Surface (topology); Structural engineering; Materials science; Microstructure; Engineering; Metallurgy; Geometry; Mathematics","score_opus":0.027607195743848047,"score_gpt":0.2998189772917522,"score_spread":0.27221178154790415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072388321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6073606,0.0004948507,0.3735293,0.00017885244,0.000049413247,0.000057157533,0.00008982037,0.0001754485,0.018064633],"genre_scores_gemma":[0.9829474,0.00014592432,0.010052625,0.000017073797,0.0000067315186,0.00001737477,0.000058335525,0.00006913833,0.006685507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99983394,0.000019047615,0.0000058598566,0.000020827545,0.00009097063,0.000029314628],"domain_scores_gemma":[0.99980384,0.00008056864,0.000027240885,0.00002260206,0.000055716006,0.000010042755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003219263,0.00047476782,0.0005299675,0.00071450416,0.00045674824,0.0007485157,0.00087677466,0.0009639978,0.0026552773],"category_scores_gemma":[0.00073889806,0.00030738857,0.0005346523,0.00046733668,0.000567975,0.00072153157,0.0004088803,0.0005768261,0.00036858418],"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":[0.00017855593,0.00011591896,0.0027435112,0.000084858526,0.000032846237,0.0002209964,0.00007628739,0.9161686,0.04299911,0.006520809,0.00028354532,0.030574916],"study_design_scores_gemma":[0.0000017487537,0.00002620304,0.0017651407,0.0000028448976,0.0000062030576,0.000030183483,0.000017467744,0.9949563,0.0026152763,0.00045909418,0.00011464812,0.000004854875],"about_ca_topic_score_codex":0.003351199,"about_ca_topic_score_gemma":0.0038436812,"teacher_disagreement_score":0.003351199,"about_ca_system_score_codex":0.00042120833,"about_ca_system_score_gemma":0.00039964434,"threshold_uncertainty_score":0.008882761},"labels":[],"label_agreement":null},{"id":"W2072461643","doi":"10.1016/j.cirp.2011.03.051","title":"Manufacturing strategy and enterprise dynamic capability","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":35,"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","funders":"","keywords":"Flexibility (engineering); Dynamic capabilities; Macro; Competition (biology); Volume (thermodynamics); Competitive advantage; Measure (data warehouse); Strategic management; Industrial engineering; Computer science; Process management; Industrial organization; Manufacturing engineering; Business; Engineering; Economics; Marketing","score_opus":0.2337118145145553,"score_gpt":0.3893791855600224,"score_spread":0.15566737104546707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072461643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63366026,0.006309884,0.054365575,0.009279132,0.00013637287,0.000045888508,0.00021935672,0.00008337991,0.29590017],"genre_scores_gemma":[0.9959859,0.0008215229,0.0010565069,0.000054022676,0.000041140636,0.0000100246425,0.000019016408,0.000004370067,0.0020073631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955827,0.00016561098,0.00001952896,0.00007497833,0.000084506784,0.00009710128],"domain_scores_gemma":[0.9900289,0.0077745602,0.00091046037,0.00022793723,0.00051248475,0.000545699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013317005,0.0005662485,0.00031490717,0.0023590827,0.0005463212,0.0043272823,0.0003980315,0.0017308341,0.006727194],"category_scores_gemma":[0.010363955,0.00020358452,0.00033845485,0.0026932915,0.0018571243,0.0054355566,0.0011324789,0.0011005475,0.0005423747],"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":[0.000088999106,0.00012003753,0.026783539,0.00010634686,0.00009170584,0.00042506604,0.00090656505,0.034169793,0.0007216078,0.8886284,0.0018010037,0.046156913],"study_design_scores_gemma":[0.000021550963,0.00010906055,0.03374789,0.00016843452,0.000064640895,0.00032752476,0.003032112,0.0794457,0.00056212506,0.87258035,0.009887992,0.000052717623],"about_ca_topic_score_codex":0.002954846,"about_ca_topic_score_gemma":0.0029655034,"teacher_disagreement_score":0.006727194,"about_ca_system_score_codex":0.0018463298,"about_ca_system_score_gemma":0.0012501779,"threshold_uncertainty_score":0.022504687},"labels":[],"label_agreement":null},{"id":"W2074369346","doi":"10.1016/s0007-8506(07)60372-2","title":"Modelling of Material Side Flow in Hard Turning","year":2006,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":34,"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; University of New Brunswick","funders":"","keywords":"Viscoplasticity; Flow (mathematics); RADIUS; Materials science; Finite element method; Mechanics; Scanning electron microscope; Material flow; Mechanical engineering; Surface (topology); Engineering drawing; Engineering; Structural engineering; Composite material; Computer science; Geometry; Physics; Mathematics","score_opus":0.02514451491967294,"score_gpt":0.23549682539495026,"score_spread":0.2103523104752773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074369346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6097661,0.0029383842,0.29395083,0.0008836776,0.00049921265,0.00015274443,0.0003203598,0.00046525942,0.0910235],"genre_scores_gemma":[0.98440313,0.00048703625,0.0042570517,0.000038706596,0.000029841814,0.000036390727,0.000077975084,0.00006507362,0.010604803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984014,0.0000456535,0.000005608671,0.00002058251,0.00003459509,0.000053487063],"domain_scores_gemma":[0.99963605,0.00020701205,0.00003466107,0.000021593689,0.000047313937,0.00005337516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031368074,0.0007989826,0.001273203,0.0007587788,0.00070523244,0.0018500922,0.0010363094,0.0020566296,0.003967038],"category_scores_gemma":[0.0010927937,0.00073698384,0.0010264487,0.00043818468,0.0013019249,0.00087138684,0.0008826796,0.0010500266,0.00039043187],"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":[0.000043160213,0.000015115172,0.00014547566,0.000019054269,0.0000056039266,0.00006828394,0.00001949549,0.9929848,0.0010642193,0.004492316,0.000096759286,0.0010458787],"study_design_scores_gemma":[0.000008064088,0.000013581877,0.00012645892,0.0000036503602,0.0000027620008,0.000011826311,0.0000107610485,0.9982293,0.00022981165,0.0011378151,0.0002216517,0.0000043013974],"about_ca_topic_score_codex":0.01328641,"about_ca_topic_score_gemma":0.006656655,"teacher_disagreement_score":0.01328641,"about_ca_system_score_codex":0.0010021625,"about_ca_system_score_gemma":0.00094776804,"threshold_uncertainty_score":0.02641815},"labels":[],"label_agreement":null},{"id":"W2077877553","doi":"10.1016/j.cirp.2014.03.127","title":"Magnetic actuator for active damping of boring bars","year":2014,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":76,"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; Displacement (psychology); Bar (unit); Bending; Engineering; Stiffness; Structural engineering; Acoustics; Mechanical engineering; Physics; Electrical engineering","score_opus":0.015990849897790906,"score_gpt":0.2640122502943088,"score_spread":0.2480214003965179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077877553","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45960438,0.0025198124,0.4902907,0.00060761656,0.0005164659,0.00007728662,0.000118496144,0.0007597518,0.04550567],"genre_scores_gemma":[0.96766776,0.00028248836,0.023647118,0.000035842753,0.00005393771,0.00003561996,0.000039405,0.000032844262,0.0082050245],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999492,0.000011818532,0.0000016642763,0.000008768752,0.000019914969,0.000008583934],"domain_scores_gemma":[0.99993634,0.000025143894,0.000012492463,0.0000062653075,0.000012276485,0.0000074474206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011506946,0.00020572123,0.00022855222,0.00018058367,0.0002683444,0.00028050313,0.00033192828,0.0002389403,0.0043725693],"category_scores_gemma":[0.00019580012,0.00008946282,0.00012844322,0.00008015356,0.000181737,0.00015562432,0.00024717703,0.00024083682,0.00053476193],"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":[0.00069304975,0.00009375026,0.00056932925,0.0005165846,0.000028333749,0.00012826467,0.00011825764,0.018863652,0.8751798,0.012639021,0.0022016529,0.08896824],"study_design_scores_gemma":[0.00031794282,0.0023087934,0.0062823016,0.00010546999,0.000090591566,0.00049126113,0.00019885521,0.66455126,0.27514452,0.0059901197,0.044472028,0.000046851863],"about_ca_topic_score_codex":0.00015658261,"about_ca_topic_score_gemma":0.00036291548,"teacher_disagreement_score":0.0043725693,"about_ca_system_score_codex":0.00009364502,"about_ca_system_score_gemma":0.00010649536,"threshold_uncertainty_score":0.014627695},"labels":[],"label_agreement":null},{"id":"W2079997082","doi":"10.1016/s0007-8506(07)61550-9","title":"Statistical and Deterministic Tolerance Analysis and Synthesis Using a Unified Jacobian-Torsor Model","year":2002,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"","keywords":"Jacobian matrix and determinant; Set (abstract data type); Tolerance analysis; Interval (graph theory); Computer-aided; Computer science; Algorithm; Statistical analysis; Mathematical optimization; Mathematics; Applied mathematics; Engineering drawing; Engineering; Programming language; Statistics","score_opus":0.044875300158915825,"score_gpt":0.2525328217053096,"score_spread":0.20765752154639378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079997082","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008357784,0.000113544775,0.988736,0.00006418273,0.000018052675,0.000013067135,0.000038412345,0.00015999879,0.0024990563],"genre_scores_gemma":[0.7777579,0.00056945323,0.21266274,0.00008418634,0.00007806082,0.00016603513,0.00023095837,0.00029188883,0.008158713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99948335,0.00010996758,0.000028020653,0.000078861696,0.00024784863,0.000051985447],"domain_scores_gemma":[0.9992772,0.000338152,0.00013370402,0.00009109634,0.00013910006,0.000020755191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010153261,0.0006544605,0.0011236282,0.0009382268,0.00035968708,0.00087894854,0.0010932466,0.0009315529,0.0018406792],"category_scores_gemma":[0.0022726862,0.00060821534,0.0011347525,0.0012159784,0.0007337026,0.0010121361,0.0006910033,0.00052625255,0.00041302247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007774594,0.0000075089174,0.00007037791,0.000011649898,0.0000080560685,0.000012313677,0.0000073200467,0.9806126,0.00090489705,0.014282618,0.00008991665,0.0039849984],"study_design_scores_gemma":[0.0000012302631,0.000004095613,0.000037714053,7.6173734e-7,0.0000029899857,0.0000025110294,8.574642e-7,0.99813986,0.0001514562,0.0015756849,0.00008035444,0.0000024595868],"about_ca_topic_score_codex":0.00510433,"about_ca_topic_score_gemma":0.006023131,"teacher_disagreement_score":0.00510433,"about_ca_system_score_codex":0.00079171895,"about_ca_system_score_gemma":0.0015830692,"threshold_uncertainty_score":0.0101492405},"labels":[],"label_agreement":null},{"id":"W2082236469","doi":"10.1016/j.cirp.2008.03.023","title":"Use of opposite-relation lexical stimuli in concept generation","year":2008,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":8,"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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Novelty; Stimulus (psychology); Lexical item; Computer science; Natural language processing; Relation (database); Artificial intelligence; Linguistics; Mathematics; Psychology; Cognitive psychology; Social psychology; Data mining","score_opus":0.2186989586454691,"score_gpt":0.37108389625556787,"score_spread":0.15238493761009878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082236469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88989663,0.00069494,0.054831825,0.0006470002,0.00097364816,0.00040378614,0.00035786844,0.0006062522,0.05158808],"genre_scores_gemma":[0.958905,0.00022712423,0.038083173,0.0003600967,0.00008689427,0.00023553864,0.00032922928,0.00033399236,0.0014390398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849164,0.0006559802,0.00013282902,0.00036955252,0.00025419,0.00009570838],"domain_scores_gemma":[0.9852078,0.012270816,0.00053795305,0.0009916539,0.0005672783,0.00042454817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023737033,0.0005650314,0.00050533947,0.00053125387,0.0006605051,0.0035119357,0.0009349635,0.0015507163,0.009383393],"category_scores_gemma":[0.03626931,0.0005005815,0.00049610424,0.00041589024,0.0008186704,0.0052372664,0.0019048223,0.001600703,0.0011531903],"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":[0.007134716,0.0011733294,0.013241206,0.00267414,0.00012094341,0.0024096633,0.009173156,0.001902463,0.6395629,0.11581676,0.0031473045,0.2036434],"study_design_scores_gemma":[0.0041349707,0.0074345116,0.103549436,0.0021228262,0.0014566933,0.014486844,0.0089616245,0.13871324,0.22540472,0.45621875,0.036573384,0.0009430365],"about_ca_topic_score_codex":0.00023329795,"about_ca_topic_score_gemma":0.00018066098,"teacher_disagreement_score":0.009383393,"about_ca_system_score_codex":0.0002658995,"about_ca_system_score_gemma":0.00046345784,"threshold_uncertainty_score":0.031390548},"labels":[],"label_agreement":null},{"id":"W2082495855","doi":"10.1016/s0007-8506(07)60642-8","title":"A New Approach to Cutting Temperature Prediction Considering the Thermal Constriction Phenomenon in Multi-layer Coated Tools","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","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":"McGill University; National Research Council Canada","funders":"","keywords":"Materials science; Asperity (geotechnical engineering); Constriction; Coating; Thermal; Layer (electronics); Thermal contact conductance; Thermal resistance; Thermal contact; Redistribution (election); Composite material; Mechanical engineering; Mechanics; Thermodynamics; Engineering","score_opus":0.0594571338192174,"score_gpt":0.2764905302515293,"score_spread":0.2170333964323119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082495855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035538014,0.00027203962,0.9620259,0.00004929636,0.000067620895,0.000036844976,0.000022167458,0.00021312028,0.0017749787],"genre_scores_gemma":[0.8044084,0.00048297417,0.19120088,0.000060287617,0.000109354136,0.00014917986,0.00007838012,0.00012373744,0.0033868775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998292,0.000033379172,0.000009203107,0.000040707677,0.00007040072,0.000017088361],"domain_scores_gemma":[0.99963033,0.00017881177,0.000031904365,0.000033042295,0.00010557896,0.00002028228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003712934,0.0007098233,0.0009074597,0.00039583055,0.00041837012,0.00078672153,0.0012782454,0.0012921564,0.00083484047],"category_scores_gemma":[0.00081313023,0.00067605387,0.00082207925,0.0003898803,0.0004565178,0.0008610524,0.0005049418,0.0009305559,0.0001959572],"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":[0.00003270122,0.000038734725,0.00036759314,0.000051633713,0.000027999316,0.00006440337,0.000026986323,0.96846205,0.012135551,0.0022412702,0.00015957175,0.016391534],"study_design_scores_gemma":[0.0000013352886,0.0000048173947,0.00003258436,6.9478034e-7,0.0000016283607,0.0000020799082,6.948022e-7,0.9995065,0.00030632853,0.00010059266,0.00004135112,0.0000013906537],"about_ca_topic_score_codex":0.0049812486,"about_ca_topic_score_gemma":0.0038927882,"teacher_disagreement_score":0.0049812486,"about_ca_system_score_codex":0.0004728783,"about_ca_system_score_gemma":0.00065496465,"threshold_uncertainty_score":0.009904504},"labels":[],"label_agreement":null},{"id":"W2083609364","doi":"10.1016/j.cirp.2011.03.002","title":"Greenhouse gases emitted in manufacturing a product—A new economic model","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Energy Efficiency and Management","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Greenhouse gas; Scope (computer science); Machining; Work (physics); Sensitivity (control systems); Product (mathematics); Production (economics); Economic model; Product lifecycle; Engineering; Computer science; Manufacturing engineering; Environmental economics; Economics; New product development; Mechanical engineering; Microeconomics","score_opus":0.08237624585543134,"score_gpt":0.261037712342451,"score_spread":0.17866146648701964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083609364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067775056,0.0051365,0.7170336,0.016430765,0.0015682324,0.00019815138,0.00088113185,0.00019826402,0.1907783],"genre_scores_gemma":[0.86702204,0.009103863,0.038550682,0.0009107614,0.0011603744,0.00046787868,0.00034946614,0.00015074205,0.08228413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992086,0.0004349214,0.00002432993,0.00010392066,0.00016153396,0.00006676653],"domain_scores_gemma":[0.99858475,0.0010437493,0.00012519908,0.00005317461,0.00012844316,0.000064700005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016427619,0.0021090505,0.0011943243,0.0015139623,0.0009695146,0.003158962,0.0026155692,0.0044589574,0.0059448723],"category_scores_gemma":[0.0029386184,0.0009754996,0.0017593364,0.0017350807,0.0025802525,0.007399924,0.001850609,0.0033244432,0.00076945056],"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":[0.000054637647,0.000087920256,0.0003298002,0.000111123496,0.00004273954,0.00016961884,0.000045301822,0.6801226,0.00045840914,0.3112873,0.0023717778,0.0049187606],"study_design_scores_gemma":[0.000027226235,0.000055815937,0.00015982287,0.000027839744,0.00003686507,0.00005379471,0.000050008373,0.8940091,0.00014646728,0.10102332,0.004384243,0.000025468902],"about_ca_topic_score_codex":0.005660402,"about_ca_topic_score_gemma":0.0048466832,"teacher_disagreement_score":0.0059448723,"about_ca_system_score_codex":0.002262554,"about_ca_system_score_gemma":0.001249031,"threshold_uncertainty_score":0.019887626},"labels":[],"label_agreement":null},{"id":"W2085895629","doi":"10.1016/j.cirp.2011.03.046","title":"Manufacturing systems synthesis using knowledge discovery","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":31,"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","funders":"","keywords":"Manufacturing engineering; Product (mathematics); Computer-integrated manufacturing; Process development execution system; Integrated Computer-Aided Manufacturing; Computer science; Engineering; Manufacturing execution system; Engineering drawing; Systems engineering; Industrial engineering; Mathematics","score_opus":0.07763137666858065,"score_gpt":0.2505080718993464,"score_spread":0.1728766952307657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085895629","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0115365805,0.00071245653,0.97865915,0.00034150525,0.00006406546,0.00015367244,0.00031672767,0.00095943117,0.0072564366],"genre_scores_gemma":[0.44011256,0.0009789732,0.55436975,0.00017431434,0.00006890996,0.0003421591,0.0011464638,0.00013482037,0.0026721344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989303,0.0004000143,0.00009638763,0.00021304593,0.00028381575,0.00007648303],"domain_scores_gemma":[0.9959598,0.0032507284,0.00014042242,0.00038316072,0.000234085,0.00003173034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014408338,0.0011106626,0.0014500231,0.00313747,0.00085767964,0.0018428251,0.0012364549,0.0010578617,0.006724811],"category_scores_gemma":[0.006292841,0.0009122907,0.002888871,0.0019737207,0.0007945748,0.0018661816,0.0014343666,0.00093828497,0.0008200239],"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":[0.00013963411,0.00013523572,0.000930832,0.00066658773,0.00039638055,0.0002291226,0.00010645744,0.6812907,0.0024748566,0.03434792,0.0017356109,0.27754667],"study_design_scores_gemma":[0.000031912423,0.000037790363,0.00015440946,0.000045621844,0.00011059756,0.000036496815,0.00003584853,0.9400225,0.0020112456,0.05525215,0.0022490516,0.00001234832],"about_ca_topic_score_codex":0.005235798,"about_ca_topic_score_gemma":0.0048096725,"teacher_disagreement_score":0.006724811,"about_ca_system_score_codex":0.0010723553,"about_ca_system_score_gemma":0.0023158896,"threshold_uncertainty_score":0.0224967},"labels":[],"label_agreement":null},{"id":"W2086792335","doi":"10.1016/s0007-8506(07)62964-3","title":"Tolerance Analysis and Synthesis Using Jacobian Transforms","year":2000,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process 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":"University of Windsor; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jacobian matrix and determinant; Context (archaeology); Tolerance analysis; Set (abstract data type); Matrix (chemical analysis); Chain (unit); Algorithm; Computer science; Applied mathematics; Mathematics; Engineering; Engineering drawing; Physics","score_opus":0.017249841889899416,"score_gpt":0.23104037868912808,"score_spread":0.21379053679922866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086792335","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039682733,0.0000670976,0.9918882,0.000029823148,0.000023598868,0.0000098117525,0.000011084189,0.00025117572,0.0037508134],"genre_scores_gemma":[0.38690493,0.00045585915,0.60145795,0.000044616485,0.000063220796,0.00008214747,0.00011602572,0.00050538953,0.010369871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99970883,0.000049804257,0.000012973879,0.000039958974,0.00016733908,0.00002111485],"domain_scores_gemma":[0.9997286,0.00011135134,0.000027728407,0.00005135228,0.000073883,0.000006953899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043792115,0.0006694532,0.00063205167,0.0008955244,0.00033615693,0.0007622496,0.0005053347,0.0005105963,0.0044568856],"category_scores_gemma":[0.0016261743,0.00044991184,0.0007138777,0.00076869427,0.00055341574,0.0008771114,0.00053341745,0.0007304195,0.00093044114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010095091,0.000060650746,0.00026637636,0.00013144776,0.00003731997,0.00010189007,0.00013008271,0.54966944,0.037420742,0.13998392,0.0016298727,0.27046734],"study_design_scores_gemma":[0.00001083661,0.00004449315,0.00012733911,0.000010133549,0.000013718095,0.000038290073,0.000015808324,0.9585552,0.010009366,0.02869641,0.0024685743,0.000009868926],"about_ca_topic_score_codex":0.0015481403,"about_ca_topic_score_gemma":0.0020151294,"teacher_disagreement_score":0.0044568856,"about_ca_system_score_codex":0.00040961275,"about_ca_system_score_gemma":0.0005841606,"threshold_uncertainty_score":0.014909744},"labels":[],"label_agreement":null},{"id":"W2087505603","doi":"10.1016/s0007-8506(07)60728-8","title":"Integrated Inspection and Machining for Maximum Conformance to Design Tolerances","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":52,"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; University of Windsor","funders":"","keywords":"Machining; Rework; Envelope (radar); Reliability engineering; Geometric dimensioning and tolerancing; Scrap; Engineering; Design for assembly; Engineering drawing; Mechanical engineering; Machine tool; Function (biology); Manufacturing engineering; Computer science; Design for manufacturability","score_opus":0.03552910391745893,"score_gpt":0.2548173444431064,"score_spread":0.21928824052564747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087505603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09769929,0.00016765096,0.89610624,0.000053112883,0.000028188546,0.0000493112,0.000026216017,0.00080633897,0.0050636777],"genre_scores_gemma":[0.82288706,0.000053222022,0.17448191,0.00002809655,0.000008808873,0.00004773936,0.000043272576,0.000099823934,0.002350113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909985,0.00012748395,0.000022368571,0.00015274966,0.00047298818,0.00012453579],"domain_scores_gemma":[0.9992785,0.00025040863,0.00011026962,0.00014525915,0.00018697056,0.000028533446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008133747,0.0006811221,0.0009095122,0.0005306716,0.00041275422,0.0007671461,0.001008382,0.00080204307,0.0022136034],"category_scores_gemma":[0.0023913328,0.0005866826,0.00052696886,0.00055006583,0.0005662482,0.0006898666,0.00087054743,0.0009290357,0.000252506],"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":[0.0009453739,0.0004485627,0.0028840555,0.00020344509,0.000085822714,0.00013014999,0.00024470428,0.6172355,0.15546511,0.019201217,0.0014420538,0.20171402],"study_design_scores_gemma":[0.000050043767,0.00062237965,0.0028877032,0.000013052543,0.00004955545,0.000089934656,0.00002917285,0.95095456,0.04033151,0.0037733142,0.0011788881,0.000019845738],"about_ca_topic_score_codex":0.0020787357,"about_ca_topic_score_gemma":0.0034818985,"teacher_disagreement_score":0.0022136034,"about_ca_system_score_codex":0.00057363685,"about_ca_system_score_gemma":0.0010883486,"threshold_uncertainty_score":0.0074052215},"labels":[],"label_agreement":null},{"id":"W2087734379","doi":"10.1016/j.cirp.2010.03.099","title":"A robust design approach to determination of tolerances of mechanical products","year":2010,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process 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 Calgary","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Product design; Reliability engineering; Product (mathematics); Functional requirement; Manufacturing cost; Engineering; Robustness (evolution); Design of experiments; Computer science; Mechanical engineering; Mathematics","score_opus":0.0586900414190251,"score_gpt":0.24391768774105108,"score_spread":0.18522764632202599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087734379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082216854,0.00006364272,0.9985688,0.000019745345,0.000010550099,0.000009261343,0.000009607908,0.000056662524,0.00043959336],"genre_scores_gemma":[0.24605754,0.0004915161,0.7495556,0.00008156236,0.00014490462,0.00028636173,0.00015224026,0.00023208863,0.0029981174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850947,0.0005072938,0.00007797265,0.0002706021,0.00056014047,0.000074497664],"domain_scores_gemma":[0.99816245,0.0010411331,0.00024788416,0.00016771833,0.0003465952,0.00003419446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023005195,0.0015784184,0.0017670636,0.0012335494,0.0003925212,0.0011697636,0.0016235644,0.0012611919,0.0020839006],"category_scores_gemma":[0.00648304,0.00113717,0.001917292,0.0007607228,0.001175055,0.0008942637,0.0013171654,0.0012682322,0.0005564791],"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":[0.000065945525,0.0000260814,0.00007717139,0.000121679914,0.00006443866,0.000041183906,0.000041705272,0.9284055,0.00715361,0.023081006,0.00046156923,0.040460147],"study_design_scores_gemma":[0.000008940736,0.000071449496,0.000045309167,0.000008906593,0.000017125654,0.0000139755775,0.0000033585495,0.9902146,0.0016517296,0.0071601416,0.0007943885,0.0000101475325],"about_ca_topic_score_codex":0.0018555993,"about_ca_topic_score_gemma":0.0013377087,"teacher_disagreement_score":0.0023005195,"about_ca_system_score_codex":0.0007297439,"about_ca_system_score_gemma":0.0010119746,"threshold_uncertainty_score":0.0121664405},"labels":[],"label_agreement":null},{"id":"W2091507676","doi":"10.1016/s0007-8506(07)60022-5","title":"Virtual Machine Tool","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":466,"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; Virtual finite-state machine; Machining; Kinematics; Control engineering; Numerical control; Process (computing); Computer science; Virtual machine; Finite element method; Engineering; Mechanical engineering","score_opus":0.013373778206427857,"score_gpt":0.2531536677591433,"score_spread":0.23977988955271543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091507676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025255103,0.0005113444,0.684879,0.00044100237,0.0017506534,0.0005006203,0.002863041,0.03522597,0.24857335],"genre_scores_gemma":[0.46651682,0.0005943852,0.28613034,0.0005634341,0.00033012018,0.00059173093,0.0055373455,0.005343178,0.2343927],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932814,0.000056914036,0.00003114465,0.00012921316,0.00038217622,0.00007250718],"domain_scores_gemma":[0.99927086,0.00012480738,0.00003786255,0.00029387456,0.00014049785,0.00013214548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004400384,0.0011349926,0.00079106516,0.001455539,0.00060366996,0.0023538575,0.0020741532,0.001178988,0.14846317],"category_scores_gemma":[0.0015088178,0.00055285,0.0006510901,0.000571423,0.00059694494,0.0015631679,0.002950159,0.00078190793,0.032993373],"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":[0.00094026554,0.00019428585,0.0010245652,0.00050641067,0.00004754233,0.0008250061,0.00023798452,0.028127166,0.060909927,0.04910415,0.11959047,0.7384923],"study_design_scores_gemma":[0.00022015967,0.0007776391,0.0018884281,0.00013087166,0.00005454804,0.0020377468,0.00011069732,0.12183534,0.05404984,0.018090893,0.80065596,0.0001479316],"about_ca_topic_score_codex":0.00043441923,"about_ca_topic_score_gemma":0.0005281281,"teacher_disagreement_score":0.14846317,"about_ca_system_score_codex":0.00031596,"about_ca_system_score_gemma":0.0008625679,"threshold_uncertainty_score":0.4966588},"labels":[],"label_agreement":null},{"id":"W2091599728","doi":"10.1016/j.cirp.2011.05.010","title":"Machine tool feed drives","year":2011,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":635,"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; Ball screw; Levitation; Engineering; Control engineering; Linear motor; Mechanical engineering; Motion control; Hydrostatic equilibrium; Computer science; Magnet","score_opus":0.03139597662399654,"score_gpt":0.24662399796702406,"score_spread":0.21522802134302751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091599728","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045348577,0.0035117855,0.31029925,0.0007341955,0.0018399896,0.0006333427,0.004125705,0.014773418,0.6187337],"genre_scores_gemma":[0.3073962,0.0018116491,0.086440906,0.00048383028,0.00029634012,0.0002717672,0.006076685,0.00096836995,0.5962543],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991504,0.00004429138,0.000030162242,0.00013458634,0.00058703154,0.000053492182],"domain_scores_gemma":[0.99939704,0.00008045204,0.000033917848,0.00014773001,0.000305403,0.000035518555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031789014,0.0007901807,0.00059040537,0.0013331395,0.0009377487,0.0014076969,0.0010387116,0.0009570144,0.086203314],"category_scores_gemma":[0.0010303211,0.00039504233,0.00029038862,0.0011437611,0.0002636588,0.0013683594,0.00082796474,0.0007505711,0.035947528],"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":[0.00036413633,0.00016906898,0.0010413212,0.0008176247,0.000025771618,0.00020084258,0.00014279896,0.0035396211,0.103250355,0.019472688,0.09517869,0.775797],"study_design_scores_gemma":[0.0000497681,0.00041938992,0.004491697,0.00008588011,0.000022279311,0.00088836503,0.000072615054,0.011970407,0.08814302,0.0029392699,0.8908787,0.00003866404],"about_ca_topic_score_codex":0.0005206269,"about_ca_topic_score_gemma":0.0011681002,"teacher_disagreement_score":0.086203314,"about_ca_system_score_codex":0.0004513922,"about_ca_system_score_gemma":0.00056737516,"threshold_uncertainty_score":0.28837878},"labels":[],"label_agreement":null},{"id":"W2091748074","doi":"10.1016/s0007-8506(07)60694-5","title":"Model-Based Monitoring and Control of Continuous Dress Creep-Feed Form Grinding","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":19,"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":"Pratt and Whitney Canada","keywords":"Grinding; Serration; Power (physics); Mechanical engineering; Heat flux; Materials science; Flux (metallurgy); Process (computing); Turbine; Structural engineering; Mechanics; Engineering; Computer science; Metallurgy; Composite material; Heat transfer","score_opus":0.019527336869793077,"score_gpt":0.2630407357534,"score_spread":0.2435133988836069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091748074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5355548,0.00024409326,0.4594465,0.0001862427,0.00008219717,0.000055310968,0.00009062762,0.0015298371,0.0028104018],"genre_scores_gemma":[0.99478006,0.000019476314,0.0048940573,0.0000059797317,0.0000027066742,0.000010909834,0.000013756145,0.000010963768,0.0002620871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968886,0.000052984466,0.000012947886,0.00009896914,0.000107950356,0.00003821033],"domain_scores_gemma":[0.9993235,0.0002818741,0.0001517796,0.000055281,0.00015315805,0.00003438419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303427,0.0007482522,0.0007625587,0.00031751787,0.00033269468,0.00094795856,0.0007793323,0.0005853558,0.0006142093],"category_scores_gemma":[0.0014429683,0.0003249048,0.00029885146,0.00017799038,0.00042743093,0.00051361514,0.00047359033,0.0004883477,0.00013932631],"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":[0.00075310294,0.00028996714,0.0033811512,0.00009415651,0.00004311136,0.00007660712,0.000090185575,0.8705232,0.059189115,0.00103378,0.00058063853,0.06394491],"study_design_scores_gemma":[0.00000696535,0.000037576556,0.0005909917,9.518421e-7,0.0000031269076,0.000004187642,0.0000023362481,0.99606776,0.003095075,0.0001376369,0.000049721206,0.0000037242535],"about_ca_topic_score_codex":0.0065211644,"about_ca_topic_score_gemma":0.00829297,"teacher_disagreement_score":0.0065211644,"about_ca_system_score_codex":0.0006616038,"about_ca_system_score_gemma":0.0005939317,"threshold_uncertainty_score":0.012966394},"labels":[],"label_agreement":null},{"id":"W2095405984","doi":"10.1016/j.cirp.2012.05.002","title":"Towards energy and resource efficient manufacturing: A processes and systems approach","year":2012,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1132,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Factory (object-oriented programming); Resource (disambiguation); Process (computing); Computer science; Efficient energy use; Focus (optics); Domain (mathematical analysis); Resource efficiency; Scale (ratio); Manufacturing engineering; Energy (signal processing); Industrial engineering; Systems engineering; Engineering","score_opus":0.023991577954647018,"score_gpt":0.22071013528392533,"score_spread":0.19671855732927832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095405984","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033163733,0.002794414,0.9717775,0.0025822253,0.00020008284,0.00004597172,0.00003793338,0.00008538422,0.019160155],"genre_scores_gemma":[0.32141238,0.020317283,0.62905735,0.0011952519,0.0012689024,0.00044780443,0.00020495676,0.00029684426,0.025799269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877554,0.00041141672,0.000061358485,0.00015499134,0.00049318664,0.00010358833],"domain_scores_gemma":[0.9992173,0.0004137234,0.00007504531,0.000101829435,0.00015216332,0.00003995102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014459264,0.0018599994,0.0014729447,0.0016885671,0.0007699717,0.0039971485,0.0021702875,0.0026268323,0.004903281],"category_scores_gemma":[0.0020739688,0.0010425483,0.0021210082,0.002177879,0.0024556874,0.00388938,0.0033763254,0.0031647936,0.0010423706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019491301,0.00009272108,0.00019574187,0.00028322364,0.00007510816,0.00006092569,0.000082770865,0.23999019,0.0020084886,0.71950597,0.0019760323,0.035709325],"study_design_scores_gemma":[0.000014546093,0.000075343654,0.00018574111,0.000075673604,0.000039063772,0.00005341885,0.000073322575,0.34419772,0.0015227088,0.6351802,0.018555138,0.00002711029],"about_ca_topic_score_codex":0.0029018412,"about_ca_topic_score_gemma":0.0029601944,"teacher_disagreement_score":0.004903281,"about_ca_system_score_codex":0.0021820145,"about_ca_system_score_gemma":0.0024441716,"threshold_uncertainty_score":0.016403139},"labels":[],"label_agreement":null},{"id":"W2128323787","doi":"10.1016/j.cirp.2007.05.010","title":"Bioanalogous Mechanical Joints for Authorized Disassembly","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process 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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Original equipment manufacturer; Lock (firearm); Key (lock); Joint (building); Mechanical joint; Engineering; Computer science; Manufacturing engineering; Mechanical engineering; Computer security; Structural engineering","score_opus":0.03464953340017796,"score_gpt":0.28635213802587745,"score_spread":0.2517026046256995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128323787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31110036,0.004244588,0.6231051,0.00040470826,0.00045677138,0.00013499791,0.00022154347,0.0010988654,0.05923299],"genre_scores_gemma":[0.8393351,0.0005102988,0.1430371,0.00006702363,0.000032842694,0.00006072852,0.00010813172,0.00012513009,0.01672374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998149,0.00002577285,0.000006576293,0.000031823038,0.000094544084,0.000026446485],"domain_scores_gemma":[0.999853,0.00003217403,0.00004295452,0.000027317516,0.000031543088,0.000012983524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018459384,0.00049244304,0.0002633435,0.00050893234,0.00041568535,0.00050832605,0.00039904093,0.00034663326,0.007193437],"category_scores_gemma":[0.0003505138,0.00021405442,0.00017925429,0.0003175106,0.00036770347,0.0004809308,0.0004827747,0.00035708296,0.0012945832],"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":[0.0003938323,0.00018491215,0.0010592664,0.0004298043,0.000018434,0.00021571961,0.00014437125,0.050799448,0.756089,0.023573445,0.0021666947,0.16492516],"study_design_scores_gemma":[0.000064961525,0.0015786601,0.0038677913,0.00006883169,0.00006056888,0.00075114646,0.0002225201,0.15924858,0.7772054,0.007629251,0.049244903,0.00005735957],"about_ca_topic_score_codex":0.0003683169,"about_ca_topic_score_gemma":0.0021316397,"teacher_disagreement_score":0.007193437,"about_ca_system_score_codex":0.00032898862,"about_ca_system_score_gemma":0.00047095952,"threshold_uncertainty_score":0.024064481},"labels":[],"label_agreement":null},{"id":"W2396464542","doi":"10.1016/j.cirp.2016.04.049","title":"A new hybrid oscillatory orbital process for drilling of composites using superabrasive diamond tools","year":2016,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Diamond; Drilling; Materials science; Surface roughness; Tool wear; Diamond tool; Kinematics; Surface finish; Composite material; Process (computing); Carbide; Mechanical engineering; Diamond turning; Computer science; Machining; Metallurgy; Engineering; Physics","score_opus":0.04620706745006996,"score_gpt":0.3009709757511466,"score_spread":0.25476390830107665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396464542","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76800257,0.001073657,0.2248335,0.00006219402,0.00010672598,0.00006617861,0.000094913805,0.0004522459,0.0053079417],"genre_scores_gemma":[0.8645818,0.0002702355,0.1327146,0.000016329692,0.000015071361,0.000035820725,0.000076021606,0.000040048577,0.0022499522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979454,0.000010875495,0.000010200771,0.00003285584,0.00012798619,0.000023484865],"domain_scores_gemma":[0.99985754,0.000030465584,0.000032983873,0.000032599473,0.000029841502,0.000016594175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019594803,0.00025947273,0.00028631883,0.000510857,0.00023169811,0.00041048895,0.0005422384,0.00031965523,0.0009384405],"category_scores_gemma":[0.00018705452,0.00019025216,0.00022828391,0.0004269799,0.00034431246,0.00058547047,0.00059713726,0.00036407565,0.0001634114],"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":[0.00026912638,0.00006675005,0.0007900403,0.00018095813,0.000010893487,0.00012194352,0.000096851596,0.0034991058,0.94384557,0.0021068556,0.0002250536,0.048786763],"study_design_scores_gemma":[0.00013619522,0.0017344764,0.006544647,0.000024080107,0.000057778616,0.0010036249,0.00014661334,0.10598313,0.8675527,0.0015831039,0.015155529,0.00007810121],"about_ca_topic_score_codex":0.00042401973,"about_ca_topic_score_gemma":0.0014661086,"teacher_disagreement_score":0.0009384405,"about_ca_system_score_codex":0.00016889817,"about_ca_system_score_gemma":0.0003169345,"threshold_uncertainty_score":0.0031394362},"labels":[],"label_agreement":null},{"id":"W2409911107","doi":"10.1016/j.cirp.2016.04.040","title":"Chip geometry and cutting forces in gear shaping","year":2016,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":34,"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":"Hobbing; Machining; Chip; Kinematics; Rake; Engineering; Mechanical engineering; Process (computing); Geometry; Rake angle; Mechanism (biology); Structural engineering; Computer science; Physics; Mathematics; Classical mechanics","score_opus":0.029320492078417717,"score_gpt":0.2725203499523446,"score_spread":0.24319985787392687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409911107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7917954,0.0015144001,0.13134739,0.0006908482,0.00019771571,0.000036781432,0.000073251365,0.00012714748,0.07421707],"genre_scores_gemma":[0.99148023,0.00021260558,0.0031581207,0.000026216343,0.000023248997,0.0000065591817,0.000012716506,0.000038569095,0.0050417962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.000061955216,0.000003339839,0.000023316245,0.00007481642,0.000034159464],"domain_scores_gemma":[0.999539,0.00029213578,0.00005363203,0.000026569334,0.000065191016,0.000023449502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033777248,0.0003440741,0.00029100417,0.00044575942,0.0003486709,0.0005818462,0.00051056955,0.00080528745,0.0036772857],"category_scores_gemma":[0.0018403691,0.00034750643,0.00020206065,0.00025079743,0.0009048665,0.0004789636,0.0005230199,0.00038544834,0.00040503114],"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":[0.00014944412,0.000053166295,0.0017062814,0.000047299578,0.000011330028,0.00023113491,0.00008856002,0.9104418,0.013666644,0.04399366,0.00083116407,0.028779568],"study_design_scores_gemma":[0.000021988155,0.00013553495,0.005500351,0.000014383211,0.000017558328,0.00015245145,0.00010301794,0.96509695,0.004945163,0.022297071,0.0016904741,0.000025122234],"about_ca_topic_score_codex":0.0022437314,"about_ca_topic_score_gemma":0.0048789307,"teacher_disagreement_score":0.0036772857,"about_ca_system_score_codex":0.0004548389,"about_ca_system_score_gemma":0.0003599222,"threshold_uncertainty_score":0.012301743},"labels":[],"label_agreement":null},{"id":"W2468243717","doi":"10.1016/j.cirp.2016.04.048","title":"Management of product design complexity due to epistemic uncertainty via energy flow modelling based on CPM","year":2016,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Uncertainty quantification; Uncertainty analysis; Process (computing); Computer science; Function (biology); Product (mathematics); Systems engineering; Product design; Industrial engineering; Engineering; Mathematics; Simulation; Machine learning","score_opus":0.07468759888290447,"score_gpt":0.24265956842260017,"score_spread":0.1679719695396957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468243717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06429571,0.00021368828,0.9295951,0.0002730877,0.000023617264,0.000048071728,0.00008131402,0.00011672327,0.0053526135],"genre_scores_gemma":[0.9356314,0.00017690695,0.06302778,0.000027426277,0.00002254684,0.00008958645,0.000075889766,0.000039391525,0.00090910104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825305,0.0007291011,0.00007780601,0.00025612192,0.0005197796,0.00016406317],"domain_scores_gemma":[0.98803,0.009452236,0.0010816474,0.00061351765,0.0006672468,0.00015541934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030553697,0.0009990514,0.0011385985,0.0019614655,0.0005996076,0.0024156384,0.001185019,0.0013178204,0.0018943183],"category_scores_gemma":[0.0146719515,0.00094882114,0.0015795353,0.001566184,0.0012690871,0.0035578501,0.0019289191,0.0014591876,0.00011233229],"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":[0.000021089512,0.000015745098,0.00039558945,0.0000269775,0.000018606726,0.000039516526,0.000040677856,0.97960436,0.0002818975,0.013907106,0.0000607318,0.0055877096],"study_design_scores_gemma":[0.0000015983446,0.0000048397096,0.000082601844,0.000004423549,0.0000048936868,0.0000056005624,0.0000056938006,0.99314696,0.00008479294,0.006576669,0.00007856235,0.0000033845604],"about_ca_topic_score_codex":0.0059728515,"about_ca_topic_score_gemma":0.0042361612,"teacher_disagreement_score":0.0059728515,"about_ca_system_score_codex":0.0017185647,"about_ca_system_score_gemma":0.0014629554,"threshold_uncertainty_score":0.016158521},"labels":[],"label_agreement":null},{"id":"W2505714040","doi":"10.1016/j.cirp.2016.06.004","title":"Chatter suppression techniques in metal cutting","year":2016,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":705,"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":"European Research Council","keywords":"Machining; Process (computing); Machine tool; Vibration; Reduction (mathematics); Mechanical engineering; Cutting tool; Computer science; Engineering; Control engineering; Mathematics; Acoustics; Physics","score_opus":0.01736030723831586,"score_gpt":0.274973025427861,"score_spread":0.2576127181895451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505714040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044361893,0.0017703284,0.9439556,0.00011203346,0.00015027965,0.000035862588,0.000019481517,0.0003702907,0.00922427],"genre_scores_gemma":[0.62721354,0.0019339599,0.3469159,0.00015866556,0.00022361755,0.000114039285,0.000080131285,0.00028899664,0.023071114],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996785,0.00010495859,0.000011372408,0.000034648427,0.00013832144,0.000032221586],"domain_scores_gemma":[0.9991454,0.0005233619,0.00006976002,0.00008556465,0.0001334623,0.000042408992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056040677,0.00066027755,0.0005224033,0.00071622315,0.00044468738,0.0003511588,0.00088363624,0.0005854649,0.0029792872],"category_scores_gemma":[0.0017087059,0.0002982583,0.0004036843,0.00053779385,0.0007668629,0.0006106377,0.00070771883,0.0008886419,0.00077981956],"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":[0.0015079111,0.00027407557,0.0010177809,0.0006196593,0.00011014352,0.0006394669,0.00085685315,0.13984469,0.24298063,0.13483907,0.0048658983,0.4724438],"study_design_scores_gemma":[0.000076753335,0.00039257956,0.00077748817,0.00006058731,0.000058506008,0.00062367925,0.00015454186,0.8986615,0.054559905,0.036455292,0.008133733,0.000045448396],"about_ca_topic_score_codex":0.00066047045,"about_ca_topic_score_gemma":0.0013221287,"teacher_disagreement_score":0.0029792872,"about_ca_system_score_codex":0.00016428663,"about_ca_system_score_gemma":0.00028006354,"threshold_uncertainty_score":0.0099666715},"labels":[],"label_agreement":null},{"id":"W2607895205","doi":"10.1016/j.cirp.2017.04.027","title":"On the stability of plastic flow in cutting of metals","year":2017,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":37,"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":"McMaster University","keywords":"Laminar flow; Microstructure; Plasticity; Instability; Materials science; Flow (mathematics); Mechanics; Strain hardening exponent; Hardening (computing); Buckling; Shear (geology); Composite material; Physics","score_opus":0.08075499224106483,"score_gpt":0.3128074347489883,"score_spread":0.23205244250792348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607895205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684038,0.004785573,0.016397163,0.00038530264,0.00014228898,0.000017295917,0.00007966114,0.00005728427,0.0097315665],"genre_scores_gemma":[0.99612504,0.00070786243,0.0008245578,0.000023803892,0.00006613182,0.0000036534052,0.00004019675,0.000016481932,0.0021922544],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998011,0.000042789325,0.000009731201,0.000048763402,0.000059858303,0.000037810816],"domain_scores_gemma":[0.99851507,0.0009924261,0.00016198782,0.0000861723,0.0001759693,0.00006839504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055342785,0.00025180014,0.00023844052,0.00097313855,0.00048876804,0.0010313438,0.0004827501,0.0004868013,0.0018554599],"category_scores_gemma":[0.0024101406,0.00016927754,0.00021840527,0.0003024842,0.0014068633,0.0009596115,0.00037133816,0.0006308342,0.00021001502],"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":[0.004828454,0.00060378993,0.013108973,0.00045951043,0.00011197652,0.001993459,0.0007318124,0.093857355,0.677706,0.07419216,0.0020421925,0.1303643],"study_design_scores_gemma":[0.0001074546,0.0014309037,0.054410417,0.00006604995,0.0001021741,0.0010195369,0.00053630443,0.35028934,0.5509736,0.032909766,0.007962235,0.00019219203],"about_ca_topic_score_codex":0.0010856562,"about_ca_topic_score_gemma":0.0007392002,"teacher_disagreement_score":0.0018554599,"about_ca_system_score_codex":0.00047286166,"about_ca_system_score_gemma":0.00025171108,"threshold_uncertainty_score":0.006207168},"labels":[],"label_agreement":null},{"id":"W2799710991","doi":"10.1016/j.cirp.2018.04.065","title":"A novel approach for real-time prediction and prevention of tool chipping in intermittent turning machining","year":2018,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes 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":"National Research Council Canada; McGill University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Machine tool; SIGNAL (programming language); Cutting tool; Signal processing; Engineering; Computer science; Mechanical engineering; Control engineering; Digital signal processing; Electronic engineering","score_opus":0.026146442724572984,"score_gpt":0.27970262641896476,"score_spread":0.25355618369439176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799710991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09977208,0.00034361426,0.89756095,0.00006782695,0.00010789111,0.000046063135,0.000051720825,0.0008257658,0.0012241793],"genre_scores_gemma":[0.86009586,0.00014556109,0.13816644,0.000048568763,0.000048824702,0.000059102407,0.0000687264,0.000038169208,0.0013287038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998362,0.000020734486,0.00000781739,0.000052365354,0.0000574313,0.000025323487],"domain_scores_gemma":[0.9997638,0.00008829667,0.000038158316,0.000024185145,0.00006900971,0.000016555809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023711383,0.0005685683,0.00067471113,0.00046260929,0.00024140283,0.00044649027,0.0007245302,0.0006452894,0.00064250024],"category_scores_gemma":[0.00046943224,0.00027338107,0.00038551286,0.00026057693,0.00024238438,0.00033639465,0.00038142808,0.00041123826,0.00013165438],"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":[0.0006228365,0.0005345684,0.0061330893,0.0002446422,0.00014395261,0.00027995717,0.0001357671,0.47826573,0.11491922,0.0027465404,0.0011777481,0.39479592],"study_design_scores_gemma":[0.000005335582,0.00006701366,0.0005839614,0.0000022047134,0.000010216583,0.000019991678,0.0000048255306,0.99582666,0.0031225085,0.00018000559,0.00017160569,0.0000055817054],"about_ca_topic_score_codex":0.002227284,"about_ca_topic_score_gemma":0.0033340713,"teacher_disagreement_score":0.002227284,"about_ca_system_score_codex":0.00022110184,"about_ca_system_score_gemma":0.0004138353,"threshold_uncertainty_score":0.0044286847},"labels":[],"label_agreement":null},{"id":"W2806289412","doi":"10.1016/j.cirp.2018.04.080","title":"Modelling and compensation of dominant thermally induced geometric errors using rotary axes’ power consumption","year":2018,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machine tool; Machining; Superposition principle; Invar; Position (finance); Ball screw; Power (physics); Power consumption; Control theory (sociology); Compensation (psychology); Thermal; Mechanical engineering; Computer science; Mathematics; Engineering; Thermal expansion; Materials science; Mathematical analysis; Physics; Artificial intelligence","score_opus":0.1160838847928331,"score_gpt":0.3115415661362204,"score_spread":0.1954576813433873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806289412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2733276,0.0004913626,0.71057653,0.00013332142,0.00007590436,0.000037637645,0.00020894184,0.00112302,0.014025592],"genre_scores_gemma":[0.98276585,0.00012668567,0.013806635,0.0000075850567,0.000004986371,0.000013590513,0.00005151905,0.000086057116,0.003137005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976987,0.0000347358,0.000009789632,0.000048439204,0.0001062115,0.00003094482],"domain_scores_gemma":[0.99971634,0.00008795565,0.000040787832,0.000055829896,0.00009144064,0.0000076311835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023913356,0.000660789,0.00037289975,0.00039200924,0.00020028504,0.0006072781,0.0007269827,0.0005086595,0.0017656989],"category_scores_gemma":[0.00095094374,0.00035856958,0.00049362355,0.0005262257,0.00029278494,0.000823312,0.00025645862,0.0003188134,0.0004629706],"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":[0.00007485733,0.000016539252,0.0012831825,0.000062217725,0.000013114493,0.00008390926,0.00006850813,0.9626662,0.014342705,0.0022743416,0.00028549274,0.018828943],"study_design_scores_gemma":[0.0000027317278,0.000022082631,0.0010000615,0.0000050188896,0.000008524678,0.000035541823,0.000010687815,0.9920034,0.0059651663,0.00033002536,0.0006102253,0.000006602247],"about_ca_topic_score_codex":0.0074009886,"about_ca_topic_score_gemma":0.007432941,"teacher_disagreement_score":0.0074009886,"about_ca_system_score_codex":0.00051650166,"about_ca_system_score_gemma":0.0006368139,"threshold_uncertainty_score":0.01471585},"labels":[],"label_agreement":null},{"id":"W2941458377","doi":"10.1016/j.cirp.2019.03.025","title":"Optimal platform design and process plan for managing variety using hybrid manufacturing","year":2019,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":33,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Variety (cybernetics); Product (mathematics); Process (computing); Manufacturing engineering; Plan (archaeology); Integer programming; Engineering; Computer science; Product design; Industrial engineering; Mathematics; Artificial intelligence; Algorithm","score_opus":0.04144840452543776,"score_gpt":0.2562101710390561,"score_spread":0.21476176651361834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941458377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13377583,0.00024572332,0.85687196,0.000109587,0.000033464916,0.00012755801,0.00009345294,0.0003012499,0.008441216],"genre_scores_gemma":[0.9022256,0.00010079172,0.09550661,0.000018242608,0.000007420212,0.00011718065,0.00006674428,0.00003622375,0.00192109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996074,0.00008480271,0.000011515875,0.0000966079,0.000110281406,0.000089504705],"domain_scores_gemma":[0.999681,0.0001465496,0.0000500038,0.00003259944,0.00005777901,0.000032076285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066071504,0.0012258395,0.0010748785,0.0010535447,0.0007507689,0.0017149388,0.0010402105,0.0010500937,0.0027945084],"category_scores_gemma":[0.000994966,0.000718762,0.0011538886,0.0009214849,0.0006533101,0.0011677053,0.0011813962,0.00079588115,0.00030051693],"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":[0.00006653491,0.000041938198,0.0002281564,0.000035081168,0.000015710963,0.00005540226,0.000027240352,0.9798093,0.0042478302,0.00348207,0.00013097672,0.011859682],"study_design_scores_gemma":[0.000007416259,0.00008797452,0.00012952327,0.0000034133977,0.000010273641,0.000011795312,0.000019893063,0.9964934,0.000936906,0.0021184196,0.00017457055,0.0000064717665],"about_ca_topic_score_codex":0.004305833,"about_ca_topic_score_gemma":0.0040003196,"teacher_disagreement_score":0.004305833,"about_ca_system_score_codex":0.001136785,"about_ca_system_score_gemma":0.00160475,"threshold_uncertainty_score":0.009348571},"labels":[],"label_agreement":null},{"id":"W3024077606","doi":"10.1016/j.cirp.2020.04.047","title":"In-process digital twin estimation for high-performance machine tools with coupled multibody dynamics","year":2020,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":50,"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; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Actuator; Multibody system; Machine tool; Torque; Control theory (sociology); Multivariable calculus; Vibration; Process (computing); Coupling (piping); Control engineering; Computer science; Engineering; Mechanical engineering; Control (management); Artificial intelligence; Acoustics; Physics","score_opus":0.016672947967387795,"score_gpt":0.2635223199056019,"score_spread":0.24684937193821407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024077606","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069767386,0.00022000003,0.92746395,0.000069828864,0.000052366882,0.000023845012,0.000051332223,0.00035986584,0.001991482],"genre_scores_gemma":[0.8932204,0.00013642876,0.10398887,0.000028502353,0.000021140022,0.000024622872,0.00012189769,0.00006718259,0.0023909025],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975413,0.000040999697,0.000010600092,0.000061425635,0.00010615261,0.000026638538],"domain_scores_gemma":[0.99965394,0.00012580928,0.000052616142,0.000048064554,0.00009974758,0.000019781037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041271097,0.00052448886,0.00051685626,0.0005205999,0.00033922965,0.00074815704,0.0006187821,0.0005158067,0.0015275104],"category_scores_gemma":[0.0012652845,0.0002977821,0.00033605023,0.0005365187,0.00026688343,0.0011096157,0.0008723214,0.0005877821,0.00037333445],"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":[0.0008409676,0.00023514392,0.007987112,0.00033892464,0.00012185948,0.00015225798,0.00019152858,0.44012755,0.07407617,0.0058031436,0.001669748,0.46845552],"study_design_scores_gemma":[0.000004418713,0.000032714386,0.00085547357,0.0000045844486,0.00000822917,0.00001846601,0.000011518534,0.99202526,0.005955864,0.00058933033,0.0004887426,0.000005508163],"about_ca_topic_score_codex":0.0016879307,"about_ca_topic_score_gemma":0.0025746846,"teacher_disagreement_score":0.0016879307,"about_ca_system_score_codex":0.00029484916,"about_ca_system_score_gemma":0.00056485855,"threshold_uncertainty_score":0.005110085},"labels":[],"label_agreement":null},{"id":"W3024234567","doi":"10.1016/j.cirp.2020.03.005","title":"Dependency and correlation analysis of specifications and parameters of products for supporting design decisions","year":2020,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":16,"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":"Ministry of Science and Technology of the People's Republic of China","keywords":"Dependency (UML); Product design; Product (mathematics); Product design specification; Probabilistic design; New product development; Computer science; Reliability engineering; Design review (U.S. government); Systems engineering; Design cycle; Engineering design process; Engineering; Industrial engineering; Operations management; Mathematics","score_opus":0.19959179179253572,"score_gpt":0.2885739953511137,"score_spread":0.088982203558578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024234567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41545752,0.00034779147,0.56171787,0.00018875727,0.000047373018,0.0002652938,0.0027661521,0.002494103,0.016715076],"genre_scores_gemma":[0.93782204,0.00013707965,0.05799995,0.00003526343,0.000020934396,0.00012623287,0.0023282347,0.00021344918,0.001316825],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938216,0.0017408085,0.0003880394,0.0008884293,0.0028588828,0.00030228886],"domain_scores_gemma":[0.946043,0.036970172,0.0043659783,0.006268214,0.0060403883,0.0003122696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039648134,0.0008032218,0.00055739825,0.0045034476,0.0004956895,0.0012940518,0.0007621203,0.00059577887,0.0038919712],"category_scores_gemma":[0.03422883,0.0006092506,0.0012085842,0.0029460914,0.00045110783,0.0017402478,0.000599779,0.0009261311,0.0015136892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018246837,0.00080612383,0.35366032,0.00053950644,0.0005922884,0.0011700069,0.000866957,0.2120299,0.063199244,0.0384814,0.0058763847,0.3209532],"study_design_scores_gemma":[0.000036025307,0.000515957,0.11887846,0.00007125872,0.00029921808,0.0006610759,0.0001738995,0.82332873,0.042419568,0.008717469,0.004789535,0.00010873162],"about_ca_topic_score_codex":0.0055809333,"about_ca_topic_score_gemma":0.006016383,"teacher_disagreement_score":0.0055809333,"about_ca_system_score_codex":0.0011830995,"about_ca_system_score_gemma":0.0016967407,"threshold_uncertainty_score":0.020968199},"labels":[],"label_agreement":null},{"id":"W3025018393","doi":"10.1016/j.cirp.2020.04.040","title":"Physics-based approach for predicting dissolution‒diffusion tool wear in machining","year":2020,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"Nanoscience and Nanotechnology Area of Advance, Chalmers Tekniska Högskola; Chalmers Tekniska Högskola; National Research Centre","keywords":"Machining; Dissolution; Carbide; Materials science; Diffusion; Nonlinear system; Tool wear; Mechanical engineering; Metallurgy; Engineering; Thermodynamics; Physics; Chemical engineering","score_opus":0.03564816054881861,"score_gpt":0.2673305912183026,"score_spread":0.231682430669484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025018393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09467257,0.00035963717,0.90069795,0.000062582345,0.00004184074,0.00013687843,0.00007671831,0.0004587648,0.0034929705],"genre_scores_gemma":[0.91441417,0.00033597968,0.08324044,0.000025683592,0.000028841005,0.00018145086,0.0000794881,0.000041021915,0.0016528341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990153,0.00001301943,0.000004586716,0.000011824508,0.00006056166,0.000008501616],"domain_scores_gemma":[0.9998118,0.00009446033,0.0000208248,0.000018772007,0.000044964072,0.000009203018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022220524,0.00051227305,0.00050657603,0.0005789241,0.00024260543,0.00042081182,0.0009353533,0.00077499985,0.00069015234],"category_scores_gemma":[0.00054382044,0.0003682377,0.0005661972,0.00029805247,0.0003528469,0.00040423672,0.00027881537,0.00049890525,0.00013223274],"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":[0.000019305928,0.000051083,0.00096337567,0.000055035296,0.000022755514,0.000060758273,0.000025469539,0.96782506,0.015225122,0.0020900692,0.00009966651,0.013562261],"study_design_scores_gemma":[0.0000028729148,0.000020480024,0.00036279575,0.0000012615479,0.0000030037766,0.000013599612,0.0000022591935,0.9980421,0.0010750487,0.0003445984,0.00012873381,0.0000030940118],"about_ca_topic_score_codex":0.0027202426,"about_ca_topic_score_gemma":0.0022875858,"teacher_disagreement_score":0.0027202426,"about_ca_system_score_codex":0.00045588764,"about_ca_system_score_gemma":0.0005929224,"threshold_uncertainty_score":0.0054088235},"labels":[],"label_agreement":null},{"id":"W3032235531","doi":"10.1016/j.cirp.2020.04.097","title":"Tool edge honing using shear jamming abrasive media","year":2020,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":23,"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; Pratt and Whitney Canada","keywords":"Enhanced Data Rates for GSM Evolution; Honing; Abrasive; Discontinuity (linguistics); Jamming; Shear (geology); Materials science; Mechanical engineering; Computer science; Engineering drawing; Engineering; Physics; Composite material; Artificial intelligence; Mathematics; Mathematical analysis","score_opus":0.07470001683628223,"score_gpt":0.277660697975531,"score_spread":0.20296068113924876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032235531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808184,0.0009470704,0.012705642,0.000045058445,0.000100573176,0.000023143193,0.000024648538,0.0003507153,0.004984751],"genre_scores_gemma":[0.99411666,0.00013852089,0.0033024794,0.000019847848,0.000009971885,0.0000041728117,0.000014017543,0.000023233782,0.0023710679],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974936,0.00001888485,0.000013504403,0.00004154083,0.00010128215,0.000075397686],"domain_scores_gemma":[0.99930584,0.00022031518,0.00010323001,0.00013410882,0.00016016322,0.000076346405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025942104,0.0005275621,0.0003686935,0.0010010517,0.00054890336,0.00080110127,0.0006009,0.0005422888,0.0019225496],"category_scores_gemma":[0.0010866326,0.00028427798,0.00022941439,0.00033443543,0.0002776323,0.0007433996,0.00059978047,0.0005517724,0.00042426088],"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":[0.00027908824,0.00010750035,0.00060480926,0.000090990376,0.000009055705,0.00021438002,0.00014528967,0.0016994646,0.9622589,0.00036987293,0.00022433393,0.033996318],"study_design_scores_gemma":[0.00001877126,0.00060009764,0.0022267287,0.000013189482,0.000022849512,0.0002260202,0.0001692077,0.025430586,0.9685374,0.00016975272,0.0025539966,0.000031318465],"about_ca_topic_score_codex":0.00048183478,"about_ca_topic_score_gemma":0.0013030482,"teacher_disagreement_score":0.0019225496,"about_ca_system_score_codex":0.00017116925,"about_ca_system_score_gemma":0.00012793826,"threshold_uncertainty_score":0.0064315796},"labels":[],"label_agreement":null},{"id":"W3154788462","doi":"10.1016/j.cirp.2021.03.024","title":"Novel sensor-based tool wear monitoring approach for seamless implementation in high speed milling applications","year":2021,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"National Research Council Canada","keywords":"Tool wear; Machine tool; Vibration; Computer science; Condition monitoring; Cutting tool; Engineering; Control engineering; Mechanical engineering; Machining; Acoustics","score_opus":0.041653633743643025,"score_gpt":0.3243470128936295,"score_spread":0.2826933791499865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154788462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20241731,0.0012887352,0.7856008,0.0002532412,0.00040634075,0.0001581628,0.00040846114,0.0035499535,0.0059170006],"genre_scores_gemma":[0.8257784,0.0002956388,0.16962941,0.00016015962,0.00006184233,0.00006432278,0.0001770501,0.00006530276,0.003767952],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954754,0.00003130152,0.000017937584,0.000097594406,0.00027418838,0.000031418338],"domain_scores_gemma":[0.9996099,0.0000650167,0.000071000664,0.00006913326,0.00016661694,0.000018374934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024087654,0.00053654687,0.00044373234,0.0004302309,0.00016822858,0.00054611976,0.0011746136,0.00057524926,0.0014668168],"category_scores_gemma":[0.00046512415,0.00026212208,0.00020971666,0.00038956542,0.00018673732,0.0007671312,0.0004392214,0.00040361332,0.00044704284],"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":[0.00025248347,0.00015340747,0.0017794679,0.00020242934,0.000032343905,0.00013086858,0.00009224374,0.002766919,0.8395887,0.00086263986,0.00206536,0.15207303],"study_design_scores_gemma":[0.00003486893,0.0008341763,0.0071624643,0.000023568624,0.00005496188,0.0006472484,0.0000907591,0.2234963,0.75705415,0.00072090735,0.009806981,0.00007372522],"about_ca_topic_score_codex":0.00034530688,"about_ca_topic_score_gemma":0.001115341,"teacher_disagreement_score":0.0014668168,"about_ca_system_score_codex":0.00020431395,"about_ca_system_score_gemma":0.0002732737,"threshold_uncertainty_score":0.0049069524},"labels":[],"label_agreement":null},{"id":"W3165366904","doi":"10.1016/j.cirp.2021.04.060","title":"Active control of high frequency chatter with machine tool feed drives in turning","year":2021,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"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 Science Foundation","keywords":"Control theory (sociology); Vibration; Engineering; Modal; Controller (irrigation); Machine tool; Feed forward; Process (computing); Stability (learning theory); Control engineering; Filter (signal processing); Servo; Control (management); Mechanical engineering; Computer science; Acoustics; Materials science; Artificial intelligence","score_opus":0.007001771364977215,"score_gpt":0.22436268823479186,"score_spread":0.21736091686981465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165366904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4389723,0.0008940639,0.549352,0.00012324622,0.00021842947,0.00003128003,0.00001531302,0.00020685753,0.010186486],"genre_scores_gemma":[0.99526924,0.00006354432,0.0035306476,0.000008767112,0.0000121208805,0.0000066374078,0.0000029976204,0.0000061502483,0.0011000109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980396,0.00006020185,0.000009405925,0.000025338373,0.00007018583,0.00003095777],"domain_scores_gemma":[0.9994504,0.00034163776,0.00005638547,0.00002583234,0.000106482476,0.000019245468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003559483,0.00028218198,0.00035663234,0.00023011936,0.00023377557,0.0005615497,0.00047713632,0.00032509936,0.0010205879],"category_scores_gemma":[0.000849329,0.00014825915,0.00016697423,0.00015211756,0.00042701102,0.00026292002,0.00029284132,0.00032431402,0.0000950503],"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":[0.0026301504,0.0003409317,0.002368889,0.0008623852,0.00013165282,0.00073999446,0.0010818437,0.40655574,0.26518467,0.029956196,0.0015617611,0.2885857],"study_design_scores_gemma":[0.00004479181,0.0006456966,0.0017967552,0.000029144641,0.000030969146,0.00012781288,0.000077207755,0.972622,0.020236995,0.0027449825,0.001626118,0.000017610519],"about_ca_topic_score_codex":0.00086841075,"about_ca_topic_score_gemma":0.0013848455,"teacher_disagreement_score":0.0010205879,"about_ca_system_score_codex":0.00016091471,"about_ca_system_score_gemma":0.00012221467,"threshold_uncertainty_score":0.003414154},"labels":[],"label_agreement":null},{"id":"W3166855662","doi":"10.1016/j.cirp.2021.04.042","title":"CNC table based compensation of inter-axis and linear axis scale gain errors for a five-axis machine tool from symbolic variational kinematics","year":2021,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":19,"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":"Kinematics; Lookup table; Machine tool; Compensation (psychology); Inverse kinematics; Table (database); Computer science; Control theory (sociology); Algorithm; Engineering; Mechanical engineering; Physics; Artificial intelligence","score_opus":0.03419084009380294,"score_gpt":0.28019818104500943,"score_spread":0.2460073409512065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166855662","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02347836,0.00017728201,0.9651904,0.00007851507,0.00011401693,0.000043877575,0.00012193122,0.0009646598,0.009830867],"genre_scores_gemma":[0.6547529,0.0001766587,0.33492273,0.000037754693,0.00001742593,0.00005975247,0.0003290648,0.0002884013,0.009415276],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995716,0.00005268984,0.00001489379,0.000053357217,0.000284991,0.000022378194],"domain_scores_gemma":[0.99974614,0.000049934955,0.000018667874,0.000059062353,0.00011931276,0.000006802189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039568605,0.00046447088,0.00047027227,0.00058020727,0.00044256155,0.0006877181,0.00079991703,0.000470088,0.0060533173],"category_scores_gemma":[0.0010549327,0.00019657472,0.0002725488,0.0007071013,0.0004222552,0.0005663289,0.000557917,0.00057296857,0.0011427375],"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":[0.00038122458,0.00007713587,0.0010398388,0.00044722436,0.00003738929,0.00021303075,0.00036216452,0.23920569,0.15455323,0.121476896,0.004998402,0.47720775],"study_design_scores_gemma":[0.000019158375,0.00008860415,0.0009718951,0.000041878473,0.000016221215,0.00015442334,0.000045176956,0.93384063,0.046232063,0.0067798602,0.011777255,0.00003285418],"about_ca_topic_score_codex":0.004547372,"about_ca_topic_score_gemma":0.009575056,"teacher_disagreement_score":0.0060533173,"about_ca_system_score_codex":0.00071149605,"about_ca_system_score_gemma":0.0010274579,"threshold_uncertainty_score":0.02025038},"labels":[],"label_agreement":null},{"id":"W3168633663","doi":"10.1016/j.cirp.2021.04.027","title":"High-coherence jets for focused fluid delivery in grinding","year":2021,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Drilling and Well Engineering","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":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Nozzle; Grinding; Coherence (philosophical gambling strategy); Laminar flow; Mechanical engineering; Rod; Mechanics; Jet (fluid); Materials science; Optics; Engineering; Physics","score_opus":0.030964725231164225,"score_gpt":0.234437938459602,"score_spread":0.20347321322843778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168633663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60021305,0.023980018,0.35667604,0.0014027683,0.00077460206,0.0003932473,0.00028992145,0.0019771454,0.014293118],"genre_scores_gemma":[0.9123978,0.0042550135,0.07720604,0.00042813265,0.00016195516,0.0001151104,0.00015657507,0.0002877915,0.0049916296],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996511,0.000051577594,0.000017430104,0.00006189559,0.00016428164,0.00005366337],"domain_scores_gemma":[0.9992298,0.00040467313,0.00014318709,0.000056439247,0.000104496095,0.0000614741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006528763,0.00041141623,0.0003528003,0.0004083449,0.00042626698,0.0009850735,0.00037639364,0.0006091932,0.0024005899],"category_scores_gemma":[0.0010214059,0.00029298794,0.0002769373,0.0003839572,0.0007651982,0.0011479608,0.00088746333,0.00094880484,0.0005409858],"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":[0.0002433451,0.0000870749,0.00067654357,0.00027666782,0.000013817739,0.00018948193,0.000286098,0.0016026803,0.9639851,0.0028108782,0.0011795181,0.028648803],"study_design_scores_gemma":[0.000101638514,0.0007998038,0.0023732674,0.00006393324,0.000042995023,0.00030208932,0.00017247234,0.01763879,0.9680989,0.00091117,0.009433758,0.000061103696],"about_ca_topic_score_codex":0.0006239396,"about_ca_topic_score_gemma":0.001532212,"teacher_disagreement_score":0.0024005899,"about_ca_system_score_codex":0.00066162716,"about_ca_system_score_gemma":0.00051038753,"threshold_uncertainty_score":0.008030713},"labels":[],"label_agreement":null},{"id":"W4251778921","doi":"10.1016/s0007-8506(07)60028-6","title":"Adaptable Design","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":195,"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":"Adaptability; Design technology; Product design; Quality function deployment; Product (mathematics); Quality (philosophy); Systems engineering; Design for manufacturability; Manufacturing engineering; Computer science; Engineering; Personalization; Risk analysis (engineering); Design for X; Operations management; Business","score_opus":0.07283549881145536,"score_gpt":0.2378305613105161,"score_spread":0.16499506249906076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251778921","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009914261,0.00046284258,0.8749707,0.0004185887,0.00034316152,0.00022200886,0.00029763483,0.0046878643,0.10868295],"genre_scores_gemma":[0.33253732,0.0014463086,0.46250373,0.0010989753,0.00023009327,0.00075617665,0.0014520537,0.0022688839,0.19770648],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871576,0.00029286914,0.000067674766,0.000283829,0.00053479953,0.00010511012],"domain_scores_gemma":[0.9984511,0.00029202882,0.000066045075,0.0008413756,0.0002999645,0.000049442133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008818901,0.00096799806,0.00038743182,0.00080338435,0.00059226045,0.0020661426,0.0012196596,0.0009946176,0.031946775],"category_scores_gemma":[0.0032130186,0.0005420718,0.0007556022,0.00059713045,0.0008729284,0.002176666,0.0018710314,0.001284264,0.00750555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002171781,0.00017846072,0.0011009898,0.0003919128,0.000083952444,0.00040265522,0.00065490976,0.036204465,0.03413018,0.31860074,0.028798634,0.57923585],"study_design_scores_gemma":[0.00008600081,0.00028348996,0.0011260784,0.00019222665,0.00013591928,0.00089992245,0.0002524599,0.13818929,0.027548455,0.30190906,0.5293039,0.000073137955],"about_ca_topic_score_codex":0.0007632341,"about_ca_topic_score_gemma":0.0009882951,"teacher_disagreement_score":0.031946775,"about_ca_system_score_codex":0.0005136441,"about_ca_system_score_gemma":0.00065518724,"threshold_uncertainty_score":0.10687262},"labels":[],"label_agreement":null},{"id":"W4280540352","doi":"10.1016/j.cirp.2022.04.045","title":"Influence of guideway friction on the cutting point receptance in machine tools","year":2022,"lang":"en","type":"article","venue":"CIRP Annals","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; University of Waterloo","keywords":"Actuator; Point (geometry); Servo; Engineering; Hammer; Inertial frame of reference; Control theory (sociology); Mechanical engineering; Computer science; Control engineering; Control (management); Mathematics; Physics","score_opus":0.024710077023764383,"score_gpt":0.2574242040501905,"score_spread":0.23271412702642613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280540352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916849,0.00037316908,0.0048471065,0.00003133895,0.000019701749,0.0000062426748,0.00002482711,0.000076274046,0.002936388],"genre_scores_gemma":[0.9992772,0.000045152115,0.00022059142,0.0000023936934,0.0000013419543,0.0000012155615,0.000008208763,0.000014674902,0.00042922067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996369,0.00010408216,0.000012033686,0.000054378335,0.00008014133,0.00011237717],"domain_scores_gemma":[0.9977055,0.0016209583,0.00018468554,0.000120594166,0.00025025252,0.0001179634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005986839,0.0003665314,0.00061668054,0.0006811,0.000552322,0.001216476,0.000447169,0.0007947054,0.0025043052],"category_scores_gemma":[0.004861956,0.00034657246,0.0003985093,0.0003770514,0.00070158846,0.0006708931,0.0005706939,0.00044547694,0.00042679047],"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":[0.008996556,0.00044616612,0.019773908,0.00047969274,0.00009904289,0.0018944319,0.0005661687,0.6248691,0.29859942,0.004561407,0.00076975406,0.0389443],"study_design_scores_gemma":[0.00013471428,0.0033570204,0.05936744,0.00007598201,0.00018468623,0.0007709231,0.00058818853,0.7333887,0.19857484,0.0013248764,0.0020299384,0.00020268654],"about_ca_topic_score_codex":0.002369562,"about_ca_topic_score_gemma":0.0017863213,"teacher_disagreement_score":0.0025043052,"about_ca_system_score_codex":0.00042839628,"about_ca_system_score_gemma":0.00044298972,"threshold_uncertainty_score":0.00837779},"labels":[],"label_agreement":null},{"id":"W4280650559","doi":"10.1016/j.cirp.2022.04.063","title":"Orthogonal cutting mechanics of multi-directional carbon fiber reinforced polymer with interlaminar bonding effect","year":2022,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"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":"Materials science; Chip formation; Carbon fiber reinforced polymer; Composite material; Fiber; Polymer; Chip; Structural engineering; Computer science; Machining; Tool wear; Engineering; Composite number","score_opus":0.011566037863089637,"score_gpt":0.2427814903123419,"score_spread":0.23121545244925226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280650559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720596,0.00018921965,0.022571739,0.000036728776,0.000017960483,0.0000068255076,0.000014902947,0.000026805488,0.0050761676],"genre_scores_gemma":[0.9968251,0.00006643984,0.0022487566,0.000003539525,0.0000021675842,0.0000048086104,0.0000056543927,0.0000051449465,0.0008383927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999318,0.000008383246,0.0000017675807,0.000014187944,0.000032401415,0.000011458506],"domain_scores_gemma":[0.99990094,0.000027518048,0.000032534794,0.000008969555,0.00002141312,0.000008558645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011468125,0.0001717819,0.00011060475,0.00022727164,0.00016739125,0.0002515,0.00021979008,0.0002617712,0.0007451416],"category_scores_gemma":[0.00022066421,0.0001321105,0.00012311626,0.0001673721,0.00024093282,0.00033289866,0.00019459668,0.00011244728,0.00007124528],"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":[0.00026002916,0.00022054672,0.0066761407,0.00018119666,0.00004154222,0.0004321139,0.00023100305,0.26850864,0.62904274,0.04344907,0.00054063275,0.050416313],"study_design_scores_gemma":[0.000009529608,0.00018103093,0.00713389,0.0000063363173,0.000016879885,0.00011852682,0.00006247438,0.9417486,0.048015546,0.0017954601,0.0008889885,0.000022747057],"about_ca_topic_score_codex":0.0004724102,"about_ca_topic_score_gemma":0.00081264536,"teacher_disagreement_score":0.0007451416,"about_ca_system_score_codex":0.00013935541,"about_ca_system_score_gemma":0.00024512675,"threshold_uncertainty_score":0.0024927855},"labels":[],"label_agreement":null},{"id":"W4297440056","doi":"10.1016/j.cirp.2022.03.044","title":"Direct writing of self-healing circuits on curvilinear surfaces","year":2022,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":4,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Electronic circuit; Materials science; Self-healing; Aerospace; Flexibility (engineering); Mechanical engineering; Nanotechnology; Electrical engineering; Engineering","score_opus":0.03464803531029629,"score_gpt":0.2622838684017734,"score_spread":0.22763583309147714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297440056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83548516,0.0011263505,0.092287146,0.000785338,0.0004965934,0.000052521194,0.00025330696,0.0005583353,0.06895526],"genre_scores_gemma":[0.9538809,0.000425463,0.026252776,0.00009967634,0.0000432208,0.000033487653,0.00010668745,0.00008241164,0.019075477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993134,0.0000064131923,0.000004398749,0.000016618858,0.000027225033,0.000013983275],"domain_scores_gemma":[0.99981767,0.00005778536,0.00004375179,0.000052321953,0.000018947116,0.000009559281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005989107,0.00024415413,0.00014454572,0.00012000058,0.00015803578,0.00058615895,0.0003000185,0.00031528354,0.0047620153],"category_scores_gemma":[0.00032431804,0.00015277635,0.00009504523,0.00019424481,0.0003320878,0.0004661821,0.0003666313,0.00040890466,0.0007797015],"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":[0.00008199205,0.00005304053,0.00034349278,0.00027157023,0.000009487242,0.00036353664,0.0002991609,0.0063176905,0.90244967,0.046536464,0.0026927048,0.04058129],"study_design_scores_gemma":[0.00003763995,0.00023973818,0.0008454404,0.000023582148,0.000005966887,0.0003503984,0.00014775575,0.063503064,0.90912235,0.009325263,0.016373739,0.00002520324],"about_ca_topic_score_codex":0.00009084224,"about_ca_topic_score_gemma":0.00026189102,"teacher_disagreement_score":0.0047620153,"about_ca_system_score_codex":0.0001472744,"about_ca_system_score_gemma":0.000111401256,"threshold_uncertainty_score":0.015930533},"labels":[],"label_agreement":null},{"id":"W4365144710","doi":"10.1016/j.cirp.2023.04.017","title":"Hybrid offline-online optimization, monitoring and control of milling processes","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Machining; Tool wear; Deflection (physics); Online and offline; Engineering; Process (computing); Cutting tool; Control engineering; Mechanical engineering; Computer science","score_opus":0.02314074587356673,"score_gpt":0.27504125853171396,"score_spread":0.2519005126581472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365144710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18951619,0.0004075029,0.8044031,0.0001533662,0.00006198198,0.000047151603,0.00008070293,0.0012302318,0.00409968],"genre_scores_gemma":[0.9717837,0.0000519378,0.026934944,0.000020343772,0.00001930409,0.0000372612,0.000035194324,0.000041019,0.00107619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994747,0.00012815846,0.000026940284,0.00014320717,0.00016528394,0.000061717525],"domain_scores_gemma":[0.99922156,0.0004205792,0.00012852765,0.00007901748,0.00011557107,0.000034751996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006352103,0.0007944578,0.0010717624,0.00039574038,0.0003320552,0.0012264672,0.0007885435,0.000626467,0.0011021002],"category_scores_gemma":[0.0010199414,0.0004343706,0.0003940952,0.0003108146,0.000470235,0.0006829014,0.0006700985,0.00055053685,0.0001979319],"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":[0.0012105844,0.0004247594,0.0018718445,0.00027884656,0.00008995858,0.000079085294,0.000094956944,0.72642356,0.054582015,0.0019618315,0.00090019644,0.2120824],"study_design_scores_gemma":[0.000011018968,0.0000762027,0.0005480648,0.000001988411,0.0000072593493,0.000008220839,0.0000034235484,0.99375135,0.005079787,0.00037507818,0.00013167586,0.00000593472],"about_ca_topic_score_codex":0.0022527261,"about_ca_topic_score_gemma":0.0025654167,"teacher_disagreement_score":0.0022527261,"about_ca_system_score_codex":0.00037927713,"about_ca_system_score_gemma":0.0005816521,"threshold_uncertainty_score":0.00447917},"labels":[],"label_agreement":null},{"id":"W4365451173","doi":"10.1016/j.cirp.2023.04.040","title":"Cable-assisted robotic system (CARS) for machining operations","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":4,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Machining; Engineering; Robot end effector; Robot; Stiffness; Vibration; Footprint; Mechanical engineering; Structural engineering; Computer science; Artificial intelligence; Acoustics","score_opus":0.07671544877826604,"score_gpt":0.3242281635711327,"score_spread":0.24751271479286668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365451173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3476756,0.0034974006,0.4823188,0.00076294073,0.0007376732,0.0009656517,0.0027693852,0.018728383,0.14254422],"genre_scores_gemma":[0.7237471,0.0015162431,0.16754588,0.00026318798,0.00023179302,0.00033343196,0.0038233816,0.0005769589,0.10196213],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944156,0.000044746914,0.000017359009,0.00010069401,0.00034949664,0.00004613789],"domain_scores_gemma":[0.9994925,0.00007659165,0.000058321108,0.00008260708,0.00022664266,0.000063324595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003576018,0.0006896204,0.0002485152,0.00092979905,0.0005165772,0.0004915883,0.00067484495,0.0005337038,0.01759561],"category_scores_gemma":[0.00047291932,0.000218653,0.00031506873,0.00068085664,0.00029890105,0.00061764085,0.0006371363,0.0005943247,0.0060807895],"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":[0.00090925075,0.00024256237,0.0057564466,0.0008012509,0.00006629127,0.0005046349,0.00031254214,0.00533185,0.39306083,0.0067046224,0.036373854,0.5499358],"study_design_scores_gemma":[0.0003718254,0.004026394,0.046029374,0.00017279807,0.0002155488,0.0062123598,0.00047961352,0.081749015,0.37388864,0.0016190168,0.48495275,0.00028271868],"about_ca_topic_score_codex":0.0026459226,"about_ca_topic_score_gemma":0.0033807645,"teacher_disagreement_score":0.01759561,"about_ca_system_score_codex":0.0004311504,"about_ca_system_score_gemma":0.0013284537,"threshold_uncertainty_score":0.058863223},"labels":[],"label_agreement":null},{"id":"W4366609141","doi":"10.1016/j.cirp.2023.04.056","title":"Machining characteristics of additively manufactured titanium, cutting mechanics and chip morphology","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Additive Manufacturing Materials and Processes","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; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Materials science; Titanium alloy; Surface integrity; Surface roughness; Chip; Surface finish; Chip formation; Mechanical engineering; Metallurgy; Titanium; Process (computing); Fusion; Composite material; Tool wear; Computer science; Engineering; Alloy","score_opus":0.025874708647583393,"score_gpt":0.2447107371888135,"score_spread":0.2188360285412301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366609141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958605,0.00032265627,0.0015366815,0.000017809403,0.000009625785,0.000009392936,0.00011450242,0.00004359654,0.002085273],"genre_scores_gemma":[0.9978124,0.00007057648,0.0008387366,0.000006659542,0.0000033698586,0.0000045774423,0.000111985224,0.000017260169,0.0011343793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997024,0.000019441532,0.000022379842,0.00004916281,0.00017085584,0.00003570965],"domain_scores_gemma":[0.9984794,0.0007084919,0.00027975443,0.00011192892,0.000363261,0.000057178713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031623605,0.00015530012,0.00016999278,0.0004705931,0.00020307135,0.00044170555,0.00035612818,0.00045079464,0.002318791],"category_scores_gemma":[0.0014507144,0.00022906117,0.00022003749,0.0004162339,0.00025192118,0.00037799808,0.0001607117,0.0002221023,0.0004673739],"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":[0.00042014426,0.000053114327,0.006908365,0.000065916836,0.000014868328,0.00019064793,0.00016649665,0.0024901228,0.97768927,0.00022373957,0.000182694,0.011594527],"study_design_scores_gemma":[0.000028522794,0.0018277653,0.16821355,0.000012753846,0.00006672291,0.000937944,0.00031499765,0.01783764,0.8080785,0.00016449495,0.0024561621,0.00006089082],"about_ca_topic_score_codex":0.0009564278,"about_ca_topic_score_gemma":0.0020703569,"teacher_disagreement_score":0.002318791,"about_ca_system_score_codex":0.00023756913,"about_ca_system_score_gemma":0.00020487559,"threshold_uncertainty_score":0.007757187},"labels":[],"label_agreement":null},{"id":"W4367680779","doi":"10.1016/j.cirp.2023.04.054","title":"A hybrid physics and data-driven model for spindle fault detection","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":12,"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; Pratt and Whitney Canada","keywords":"Vibration; Machining; Machine tool; Engineering; Fault detection and isolation; Fault (geology); Control engineering; Real-time computing; Simulation; Computer science; Mechanical engineering; Acoustics; Actuator; Physics; Electrical engineering","score_opus":0.08148289981025864,"score_gpt":0.3294886752468546,"score_spread":0.24800577543659597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367680779","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033175196,0.00019846196,0.9600273,0.00029950892,0.0000733238,0.000067208166,0.0003404257,0.0012126352,0.0046059117],"genre_scores_gemma":[0.9277875,0.00020203086,0.0648707,0.00014198563,0.000048985978,0.00019781642,0.0003577647,0.00020343509,0.0061899163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997999,0.00003443839,0.000010896046,0.0000457096,0.00008241039,0.000026778684],"domain_scores_gemma":[0.99931073,0.0003882871,0.0000612179,0.000056187797,0.0001483029,0.000035263576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659662,0.00059532735,0.0009677403,0.0005361241,0.0003851299,0.0011128427,0.0017211884,0.0014013795,0.0034762712],"category_scores_gemma":[0.001645914,0.0005712038,0.0008795497,0.00041597072,0.0005536983,0.0010546242,0.000795488,0.0009525783,0.0005639599],"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":[0.000027926464,0.000018597555,0.00015654761,0.00001877485,0.000010856024,0.000021429654,0.000008060352,0.99366635,0.0006700485,0.0017817679,0.00015424189,0.0034653344],"study_design_scores_gemma":[0.00000254514,0.000003560021,0.000021789852,7.176809e-7,0.0000016747737,0.0000022173015,4.7153145e-7,0.99939835,0.00009497143,0.00041515063,0.000057272457,0.0000013221364],"about_ca_topic_score_codex":0.010020834,"about_ca_topic_score_gemma":0.0073311473,"teacher_disagreement_score":0.010020834,"about_ca_system_score_codex":0.0007216065,"about_ca_system_score_gemma":0.0012301456,"threshold_uncertainty_score":0.019924998},"labels":[],"label_agreement":null},{"id":"W4378193189","doi":"10.1016/j.cirp.2023.04.012","title":"Wide-bandwidth cutting force monitoring via motor current and accelerometer signals","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":12,"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":"Accelerometer; Dynamometer; Machining; Kalman filter; Smoothing; Acceleration; Engineering; Bandwidth (computing); Control theory (sociology); Automotive engineering; Control engineering; Computer science; Mechanical engineering; Artificial intelligence","score_opus":0.041943154117247805,"score_gpt":0.3029979524753902,"score_spread":0.2610547983581424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378193189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5448747,0.0018719013,0.43035108,0.00040157326,0.00022354882,0.00015417612,0.00081192394,0.003360947,0.01795014],"genre_scores_gemma":[0.9712676,0.0002142609,0.025746772,0.000089919944,0.000037522586,0.00003960141,0.00013931032,0.00004224974,0.0024228357],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996338,0.000043178858,0.000013279815,0.0000852329,0.00019176415,0.000032777298],"domain_scores_gemma":[0.99960333,0.00011913893,0.00006562388,0.00004263936,0.00014712846,0.000022041242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020886796,0.0005496099,0.00033791098,0.0007092648,0.00017112584,0.00038022565,0.00033497758,0.00059808104,0.0014632326],"category_scores_gemma":[0.000786458,0.00017268003,0.00008772933,0.00045117,0.00014161618,0.00050354504,0.00029535842,0.00025245256,0.0004963079],"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":[0.0010808714,0.00013582704,0.009693906,0.00026859512,0.000038091366,0.00017467036,0.00016308029,0.0041368394,0.691706,0.00064192404,0.002152462,0.28980762],"study_design_scores_gemma":[0.000104263,0.0013101035,0.11592415,0.00017013821,0.00012637838,0.0019738355,0.0003608718,0.25254592,0.60751855,0.0019216839,0.017901959,0.0001421512],"about_ca_topic_score_codex":0.0004849621,"about_ca_topic_score_gemma":0.0014454095,"teacher_disagreement_score":0.0014632326,"about_ca_system_score_codex":0.00014832546,"about_ca_system_score_gemma":0.00015763499,"threshold_uncertainty_score":0.0048950315},"labels":[],"label_agreement":null},{"id":"W4378549716","doi":"10.1016/j.cirp.2023.05.006","title":"Digital twins for cutting processes","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":56,"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":"Process (computing); Computer science; Data science; Production (economics); Industrial production; Systems engineering; Industrial engineering; Manufacturing engineering; Process management; Engineering","score_opus":0.03781769798517049,"score_gpt":0.26768780709130563,"score_spread":0.22987010910613515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378549716","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07262076,0.0069919336,0.3720125,0.0029516018,0.007293061,0.00023730597,0.0006575966,0.002515259,0.53472],"genre_scores_gemma":[0.44935438,0.0053298194,0.2214778,0.0010616961,0.001000741,0.00022792602,0.0008870227,0.0010801522,0.31958044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939656,0.00007716133,0.000027955337,0.00011035419,0.00031251143,0.00007542703],"domain_scores_gemma":[0.9996197,0.00006579522,0.00002650004,0.00015060244,0.00008454955,0.000052788895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043899723,0.00057732634,0.00042497698,0.001362653,0.0014331848,0.0028425474,0.0008000428,0.0012700146,0.0354788],"category_scores_gemma":[0.0016366052,0.0003185591,0.0004175579,0.0013071434,0.0008270603,0.003325205,0.0032555333,0.0015197912,0.0064147892],"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":[0.00024670904,0.000081646984,0.00025905285,0.00017046642,0.000009911158,0.00020247251,0.00018339341,0.0020017063,0.014936804,0.68370503,0.01831319,0.27988964],"study_design_scores_gemma":[0.000055431876,0.00028895852,0.00073170185,0.0001850346,0.00004263295,0.00091196306,0.00037504314,0.022801077,0.045719467,0.31697688,0.61185074,0.00006109207],"about_ca_topic_score_codex":0.00039715783,"about_ca_topic_score_gemma":0.0007351636,"teacher_disagreement_score":0.0354788,"about_ca_system_score_codex":0.0006518526,"about_ca_system_score_gemma":0.0007805281,"threshold_uncertainty_score":0.118688405},"labels":[],"label_agreement":null},{"id":"W4385662977","doi":"10.1016/j.cirp.2023.05.009","title":"Sensor and actuator integrated tooling systems","year":2023,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":61,"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":"Actuator; Miniaturization; Mechatronics; Electronics; Machine tool; Magnetorheological fluid; Engineering; Robustness (evolution); Machining; Mechanical engineering; Computer science; Control engineering; Embedded system; Electrical engineering; Damper","score_opus":0.027757056872407176,"score_gpt":0.2643235749263032,"score_spread":0.23656651805389603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385662977","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07801269,0.004082323,0.8302595,0.00066518557,0.0014130133,0.00038215573,0.001622322,0.0067383037,0.07682455],"genre_scores_gemma":[0.71731704,0.0013346216,0.18497902,0.0005366781,0.00024616392,0.00023202423,0.0015149835,0.00014917384,0.09369022],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931014,0.000040408704,0.000028725666,0.00012894029,0.00044567944,0.000046152327],"domain_scores_gemma":[0.9996667,0.000046267927,0.000036399677,0.000057135443,0.00016993373,0.000023619988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003468458,0.0005383254,0.00040281954,0.0004917866,0.00033350315,0.0008916049,0.0011532761,0.00071338634,0.009156194],"category_scores_gemma":[0.00047920406,0.00025439035,0.00023484211,0.0006754835,0.0002039782,0.0009334383,0.0006393687,0.00059274357,0.0022287448],"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":[0.00056100654,0.00019900517,0.001975455,0.0006024829,0.00008435961,0.00019475911,0.000133385,0.013400216,0.3427071,0.016355094,0.013975446,0.60981166],"study_design_scores_gemma":[0.00016921127,0.0022779936,0.014188623,0.00011763701,0.00016690986,0.00085669424,0.0001154841,0.2916721,0.43059373,0.0075664534,0.2521105,0.00016457771],"about_ca_topic_score_codex":0.000811987,"about_ca_topic_score_gemma":0.0019669994,"teacher_disagreement_score":0.009156194,"about_ca_system_score_codex":0.00036938937,"about_ca_system_score_gemma":0.00064710213,"threshold_uncertainty_score":0.030630529},"labels":[],"label_agreement":null},{"id":"W4396550124","doi":"10.1016/j.cirp.2024.04.049","title":"In-process self-configuring approach to develop intelligent tool condition monitoring systems","year":2024,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; National Research Council Canada","funders":"","keywords":"Process (computing); Computer science; Systems engineering; Engineering; Process management; Software engineering; Operating system","score_opus":0.028659353736373485,"score_gpt":0.2824420007536589,"score_spread":0.2537826470172854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396550124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024554493,0.000053819418,0.9666299,0.000038210954,0.000035824083,0.00009520102,0.000041226976,0.0032321245,0.0053190836],"genre_scores_gemma":[0.7062182,0.00006685382,0.28862906,0.000062867104,0.000023703353,0.00013750677,0.000118878655,0.0002478197,0.004495106],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999624,0.000081495855,0.000027058693,0.000086877815,0.00013662326,0.000043833305],"domain_scores_gemma":[0.99947256,0.00010495839,0.00007133036,0.00016748358,0.00015748429,0.000026188773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005706678,0.0006505635,0.000436329,0.0005871388,0.00037533054,0.0009288715,0.0012067679,0.00046169234,0.0029542432],"category_scores_gemma":[0.00094470143,0.0002863543,0.00043809027,0.00029535446,0.00026252426,0.0008292648,0.0006037816,0.0004508755,0.00077332155],"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":[0.00023581377,0.0004049178,0.0046274434,0.00021129241,0.00010725398,0.00045485084,0.00033456399,0.3935482,0.143724,0.0136376545,0.0027551458,0.43995884],"study_design_scores_gemma":[0.000011978253,0.0001663264,0.00084154337,0.000009355115,0.000038593847,0.00013945616,0.000026003512,0.9402688,0.051591445,0.002623153,0.004271509,0.000011827553],"about_ca_topic_score_codex":0.0007577603,"about_ca_topic_score_gemma":0.0010815252,"teacher_disagreement_score":0.0029542432,"about_ca_system_score_codex":0.0003534644,"about_ca_system_score_gemma":0.00042645476,"threshold_uncertainty_score":0.009882927},"labels":[],"label_agreement":null},{"id":"W4396567318","doi":"10.1016/j.cirp.2024.04.051","title":"Submerged electrochemical jet machining with in-situ gas assistance","year":2024,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":13,"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":"Jet (fluid); Machining; Electrochemical machining; Electrochemistry; In situ; Materials science; Mechanical engineering; Metallurgy; Environmental science; Engineering; Chemistry; Electrode; Aerospace engineering; Physical chemistry; Organic chemistry","score_opus":0.010845364267258737,"score_gpt":0.2575719955802698,"score_spread":0.24672663131301104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396567318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7622786,0.0012166692,0.21349818,0.00029489832,0.00043583085,0.000108131855,0.00062303676,0.0016861538,0.019858563],"genre_scores_gemma":[0.8847258,0.00037425093,0.10238894,0.000044057833,0.000028624554,0.00005131633,0.00026284624,0.00020527706,0.011919008],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983454,0.000005848555,0.000008283603,0.00003775011,0.00009214288,0.000021477243],"domain_scores_gemma":[0.99986386,0.000023275421,0.000025083296,0.000040142902,0.000035196594,0.000012524874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013766605,0.00041251312,0.00043230108,0.00014637657,0.00022324687,0.0004134572,0.0005908073,0.00038639846,0.002893857],"category_scores_gemma":[0.00023324235,0.0002448607,0.00018500899,0.00020698654,0.00016231243,0.0003948823,0.00043415534,0.0006264201,0.0008264478],"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":[0.00004579203,0.000016150469,0.00013124787,0.00007373144,0.000004191488,0.000049628245,0.000031889005,0.00039154312,0.9890675,0.00025650195,0.00026136177,0.0096704615],"study_design_scores_gemma":[0.000011493148,0.00010980125,0.0009948944,0.0000039784163,0.0000070691317,0.00013409798,0.000022443854,0.0072797574,0.9863768,0.00011275995,0.0049376083,0.000009267507],"about_ca_topic_score_codex":0.00050127343,"about_ca_topic_score_gemma":0.0015933022,"teacher_disagreement_score":0.002893857,"about_ca_system_score_codex":0.0002360093,"about_ca_system_score_gemma":0.00031579466,"threshold_uncertainty_score":0.009680927},"labels":[],"label_agreement":null},{"id":"W4396900034","doi":"10.1016/j.cirp.2024.04.088","title":"Machine learning based substructure coupling of machine tool dynamics and chatter stability","year":2024,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Substructure; Stability (learning theory); Coupling (piping); Dynamics (music); Computer science; Machine tool; Control engineering; Control theory (sociology); Engineering; Mechanical engineering; Artificial intelligence; Physics; Machine learning; Structural engineering; Control (management); Acoustics","score_opus":0.011956125315025722,"score_gpt":0.24241759565135435,"score_spread":0.23046147033632863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396900034","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043286014,0.0003073851,0.9545998,0.0000726406,0.000022616541,0.000026571626,0.000020963651,0.0002682907,0.0013956669],"genre_scores_gemma":[0.93767065,0.00016231433,0.060521048,0.000041947937,0.000024889052,0.000058995112,0.000055520126,0.00004197811,0.0014226339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936503,0.00016596486,0.000038446728,0.00016510936,0.00022881513,0.000036516376],"domain_scores_gemma":[0.9961151,0.002725067,0.00044937336,0.00024029285,0.0004082073,0.00006192195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013133085,0.0006707307,0.0006194055,0.0007474636,0.00027522136,0.00051797676,0.0007173232,0.0005892071,0.0009831726],"category_scores_gemma":[0.005511699,0.00027549072,0.00042861947,0.00037792692,0.0009747572,0.000942867,0.0007257837,0.0007333646,0.00017006867],"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":[0.0000871124,0.000053352862,0.0032927035,0.00017212532,0.000051212104,0.00013013298,0.00015722773,0.90430665,0.012057477,0.010586439,0.00030821943,0.068797424],"study_design_scores_gemma":[5.1391294e-7,0.0000119867545,0.0003027237,0.0000029055734,0.0000015055987,0.000010910983,0.000001948432,0.99799997,0.00067853945,0.00093683513,0.000049202154,0.0000029557489],"about_ca_topic_score_codex":0.001599353,"about_ca_topic_score_gemma":0.0011498431,"teacher_disagreement_score":0.001599353,"about_ca_system_score_codex":0.0005505733,"about_ca_system_score_gemma":0.00035184054,"threshold_uncertainty_score":0.0069455504},"labels":[],"label_agreement":null},{"id":"W4409978961","doi":"10.1016/j.cirp.2025.04.073","title":"Automated identification of joints dynamic parameters in moving industrial robots for milling applications","year":2025,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":1,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Identification (biology); Robot; Engineering; Mechanical engineering; Computer science; Engineering drawing; Artificial intelligence","score_opus":0.03017928916056879,"score_gpt":0.3165895292926645,"score_spread":0.2864102401320957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409978961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15143888,0.00024999192,0.8450303,0.0000485609,0.000018886107,0.00003570822,0.00008858179,0.0010288847,0.0020602997],"genre_scores_gemma":[0.8898638,0.00008312765,0.10805072,0.000014393603,0.000008384705,0.00003319715,0.0001234052,0.00007336773,0.0017495452],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976856,0.00004145223,0.000009559962,0.000068793655,0.000090688976,0.000021012598],"domain_scores_gemma":[0.99973196,0.00010829943,0.000056463356,0.00004338867,0.000050623756,0.000009162281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022239093,0.0004052625,0.00045056868,0.00057339144,0.00030047796,0.00044653876,0.0003963276,0.00043111792,0.0015590978],"category_scores_gemma":[0.00083429413,0.0003468612,0.00021881172,0.00037877692,0.00031195962,0.00041558113,0.00032933473,0.00037679248,0.00051129615],"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":[0.0004923679,0.000085731575,0.003563665,0.00016309401,0.00004870878,0.00011223525,0.00016979063,0.23477276,0.19674052,0.0023524552,0.0012059778,0.56029266],"study_design_scores_gemma":[0.000020010559,0.00016047401,0.0104650445,0.000014070381,0.000018755203,0.00012769896,0.00005855311,0.9476569,0.037193965,0.0019652662,0.0022985998,0.000020641923],"about_ca_topic_score_codex":0.001968761,"about_ca_topic_score_gemma":0.0031977026,"teacher_disagreement_score":0.001968761,"about_ca_system_score_codex":0.00019666283,"about_ca_system_score_gemma":0.0004083856,"threshold_uncertainty_score":0.005215764},"labels":[],"label_agreement":null},{"id":"W4411008388","doi":"10.1016/j.cirp.2025.05.003","title":"Revisiting machinability assessment: Towards total machining performance","year":2025,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Machinability; Machining; Engineering; Manufacturing engineering; Metallurgy; Mechanical engineering; Engineering drawing; Computer science; Materials science","score_opus":0.013136334171153011,"score_gpt":0.304438512196996,"score_spread":0.291302178025843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411008388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18388323,0.0019054643,0.75834894,0.0012337134,0.00034602638,0.00024052722,0.0006044438,0.0019213617,0.05151623],"genre_scores_gemma":[0.8080796,0.0008380513,0.17966872,0.00021458858,0.00011812558,0.00009475522,0.0006812266,0.00051131257,0.009793674],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937109,0.001288816,0.000350689,0.00052234967,0.0039280625,0.00019916077],"domain_scores_gemma":[0.99152946,0.002153611,0.0006888776,0.0013037267,0.004196796,0.00012757315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053413073,0.0019130418,0.0011319951,0.0028319787,0.0007881499,0.0047336,0.0017812923,0.0012985837,0.004713937],"category_scores_gemma":[0.014809654,0.0005003244,0.0008676937,0.0015979444,0.0010645483,0.0036268493,0.0016431967,0.0013252749,0.0018627243],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003848269,0.00034460708,0.025047567,0.0012691866,0.00031462184,0.00020761765,0.00041612485,0.1756673,0.092961766,0.02171364,0.0058654593,0.6758073],"study_design_scores_gemma":[0.000025295449,0.0011086306,0.035001766,0.00047373257,0.0002745273,0.00034318137,0.0005162893,0.7910445,0.098028146,0.0488221,0.024177566,0.00018439996],"about_ca_topic_score_codex":0.0017121612,"about_ca_topic_score_gemma":0.0035860585,"teacher_disagreement_score":0.0053413073,"about_ca_system_score_codex":0.0008208053,"about_ca_system_score_gemma":0.0016422247,"threshold_uncertainty_score":0.028247893},"labels":[],"label_agreement":null},{"id":"W4412419507","doi":"10.1016/j.cirp.2025.05.004","title":"Metal multi-material additive manufacturing: Overcoming barriers to implementation","year":2025,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Manufacturing engineering; Materials science; Engineering; Metallurgy; Process engineering; Computer science","score_opus":0.023815526788790165,"score_gpt":0.3022629192926705,"score_spread":0.27844739250388034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412419507","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036452666,0.095529556,0.47053015,0.18545295,0.0035140393,0.0014373744,0.00032774897,0.0017854029,0.20497008],"genre_scores_gemma":[0.2739691,0.07950569,0.5895574,0.016160196,0.0012577575,0.0019585183,0.00047782317,0.00069215137,0.036421403],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9844268,0.003915413,0.00086445716,0.0015254449,0.008314992,0.0009529118],"domain_scores_gemma":[0.962463,0.017430328,0.0022741714,0.0044538034,0.01173986,0.0016388892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039156526,0.0008876489,0.00082710246,0.0014943925,0.0016615823,0.009849331,0.006166972,0.0042811222,0.014534138],"category_scores_gemma":[0.03441867,0.0008156403,0.00078068656,0.0014057644,0.005160923,0.014222312,0.006960064,0.008150334,0.007075357],"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":[0.0001274475,0.0003782865,0.0014688695,0.004037109,0.000040976156,0.00027627076,0.0014290925,0.0034213036,0.013866419,0.45708638,0.021605823,0.49626198],"study_design_scores_gemma":[0.000047119098,0.0007727841,0.0011087873,0.0035132281,0.000030684238,0.00047843068,0.0028062195,0.005973165,0.01496113,0.13855068,0.8316799,0.0000778734],"about_ca_topic_score_codex":0.0024039643,"about_ca_topic_score_gemma":0.0025553897,"teacher_disagreement_score":0.039156526,"about_ca_system_score_codex":0.0044414373,"about_ca_system_score_gemma":0.013158761,"threshold_uncertainty_score":0.20708197},"labels":[],"label_agreement":null},{"id":"W864167668","doi":"10.1016/j.cirp.2015.05.002","title":"High performance cutting of advanced aerospace alloys and composite materials","year":2015,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":559,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"","keywords":"Aerospace; Machining; Surface integrity; Context (archaeology); Coolant; Materials science; Mechanical engineering; Aerospace materials; Cutting tool; Tool wear; Manufacturing engineering; Titanium alloy; Engineering; Metallurgy; Aerospace engineering; Alloy","score_opus":0.01817368861860051,"score_gpt":0.24670694424422665,"score_spread":0.22853325562562615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W864167668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82882196,0.0068557076,0.09515757,0.00033507077,0.00027124985,0.000046605004,0.00018011587,0.00041931844,0.06791257],"genre_scores_gemma":[0.96195704,0.00077650935,0.027534204,0.000022863387,0.000037303616,0.000019080679,0.00020069352,0.00008671216,0.009365615],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996904,0.0000310693,0.0000068500267,0.000025851805,0.0002039298,0.00004195458],"domain_scores_gemma":[0.99972075,0.00009055207,0.000047728645,0.00003337002,0.00008956234,0.000017959335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050676777,0.0003134682,0.00031724432,0.0006290484,0.0004068664,0.00090622634,0.0004887918,0.00047097701,0.0027769],"category_scores_gemma":[0.0005930187,0.00029028507,0.0001991928,0.0004273584,0.00031453662,0.00054129993,0.00050915574,0.00054326095,0.0004340498],"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":[0.0007912588,0.00030071847,0.0035068877,0.0006826853,0.000093696035,0.000297927,0.00017664557,0.16309641,0.6087466,0.02934652,0.0036128538,0.18934777],"study_design_scores_gemma":[0.000069148766,0.0012954635,0.013444829,0.00006308092,0.000051475923,0.0004336324,0.00015903782,0.47509667,0.4803991,0.009078141,0.01986482,0.00004462247],"about_ca_topic_score_codex":0.00045194797,"about_ca_topic_score_gemma":0.0015456224,"teacher_disagreement_score":0.0027769,"about_ca_system_score_codex":0.00037465667,"about_ca_system_score_gemma":0.00046338254,"threshold_uncertainty_score":0.009289622},"labels":[],"label_agreement":null}]}