{"meta":{"query_hash":"3adc27731fb7","filters":{"venue":"Journal of Manufacturing Technology Management"},"cohort_total":34,"direct_labels_cover":0,"predictions_cover":34,"exported":34,"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/3adc27731fb7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Manufacturing+Technology+Management"},"results":[{"id":"W1493004966","doi":"10.1108/17410380510627898","title":"Operations management and advanced manufacturing technologies in SMEs","year":2005,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Contingency theory; Flexibility (engineering); Contingency; Originality; Business; Productivity; Quality (philosophy); Information technology; Manufacturing; Process management; Marketing; Operations management; Knowledge management; Industrial organization; Computer science; Engineering; Economics; Qualitative research","score_opus":0.00954428337190498,"score_gpt":0.22832144841508348,"score_spread":0.2187771650431785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493004966","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":[0.9954932,0.00039506675,0.000108286484,0.00036281275,0.0000027233214,0.000010274749,0.000021654592,0.0000015314813,0.0036044845],"genre_scores_gemma":[0.9996903,0.00012643427,0.00003601542,0.000017004417,0.0000014987287,0.0000022699317,0.000008229483,1.752264e-7,0.00011806929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999315,0.00017760108,0.000043333413,0.000037803893,0.00021033685,0.00021584233],"domain_scores_gemma":[0.9965103,0.0015800331,0.0008942934,0.000051887786,0.00040413003,0.00055937254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071680767,0.00011360729,0.00010594002,0.00068440445,0.00078100985,0.0009606292,0.0001539063,0.00026059608,0.0019105888],"category_scores_gemma":[0.0044417176,0.000053916705,0.00010373288,0.001071275,0.0009680142,0.00044749308,0.0004866667,0.0002852888,0.00007098013],"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":[0.00035188292,0.00035417365,0.8899584,0.00039301414,0.000038735794,0.0010656811,0.024502322,0.0025138506,0.0020594765,0.012978581,0.0011617283,0.0646222],"study_design_scores_gemma":[0.000011956061,0.00023127784,0.9589315,0.00011449465,0.000014531145,0.00030664884,0.031813357,0.0014417383,0.000484926,0.003514387,0.003118439,0.000016699682],"about_ca_topic_score_codex":0.10532443,"about_ca_topic_score_gemma":0.0906548,"teacher_disagreement_score":0.10532443,"about_ca_system_score_codex":0.002579358,"about_ca_system_score_gemma":0.0050257524,"threshold_uncertainty_score":0.20942277},"labels":[],"label_agreement":null},{"id":"W1542659370","doi":"10.1108/17410380810898769","title":"A study of AMT in North America","year":2008,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinational corporation; Developing country; Business; Originality; Investment (military); Exploratory research; Developed country; Economic growth; Marketing; Operations management; Economics; Political science; Finance; Population; Creativity; Politics","score_opus":0.019591951227067105,"score_gpt":0.2265744923350205,"score_spread":0.2069825411079534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542659370","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":[0.9916875,0.0002749233,0.000070621296,0.0005774333,0.000007973345,0.00001617499,0.000029907731,0.0000019059914,0.0073336274],"genre_scores_gemma":[0.99773765,0.00040038253,0.0001397455,0.0007165451,0.00001178295,0.000036681682,0.000039001596,0.0000022535214,0.0009159828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985851,0.0006879212,0.000045691348,0.00012265106,0.00024175081,0.00031683824],"domain_scores_gemma":[0.99568605,0.0012670676,0.0012647732,0.00014039814,0.00092469004,0.0007170213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013543682,0.0001407464,0.00023959477,0.0011047123,0.003764394,0.0018664703,0.00038744143,0.00047691693,0.0027569341],"category_scores_gemma":[0.003430528,0.00018628224,0.00012514082,0.0023226233,0.0017013208,0.0013345655,0.0012552358,0.0009253355,0.00015030747],"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":[0.00007765183,0.0005726177,0.5968379,0.00018005485,0.000024595854,0.0013616364,0.3601879,0.00008346245,0.0015454058,0.004314238,0.0038233078,0.030991232],"study_design_scores_gemma":[0.000008647302,0.0001496465,0.5976116,0.00017588447,0.000009762645,0.00056176155,0.37291518,0.00014117708,0.0002471488,0.0004489907,0.02771753,0.000012638862],"about_ca_topic_score_codex":0.09928681,"about_ca_topic_score_gemma":0.12646367,"teacher_disagreement_score":0.09928681,"about_ca_system_score_codex":0.0026443023,"about_ca_system_score_gemma":0.003513478,"threshold_uncertainty_score":0.19741774},"labels":[],"label_agreement":null},{"id":"W1550145858","doi":"10.1108/jmtm-10-2013-0156","title":"Operations strategy processes and performance","year":2015,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Context (archaeology); Generalizability theory; Developing country; Originality; Nexus (standard); Business; Empirical research; Process (computing); Marketing; Industrial organization; Process management; Operations management; Computer science; Qualitative research; Economics; Mathematics; Statistics; Sociology","score_opus":0.02960638115749064,"score_gpt":0.2441386138513549,"score_spread":0.21453223269386426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550145858","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":[0.7318954,0.0025129528,0.0231941,0.0044657593,0.000101601574,0.00031522178,0.00020199451,0.00010808245,0.23720486],"genre_scores_gemma":[0.9970693,0.00030601845,0.0015781606,0.000054105018,0.0000129526625,0.000027708926,0.00004422839,0.0000074918094,0.00090005685],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99128175,0.0040847724,0.0006206131,0.00047657604,0.002458663,0.0010776038],"domain_scores_gemma":[0.9800254,0.009503986,0.0048896396,0.00085151795,0.0031445366,0.0015849179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007905971,0.0007665875,0.0002453793,0.003460566,0.0013991252,0.010486582,0.0006050025,0.00084943057,0.0060481783],"category_scores_gemma":[0.02048419,0.00015280316,0.00041061343,0.0048448257,0.005415751,0.0055757333,0.0032250783,0.0010915784,0.0006611843],"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":[0.00026201011,0.0005320341,0.14218141,0.0010205653,0.000230614,0.00044886314,0.030729605,0.011497725,0.0020925908,0.5840303,0.0029162006,0.2240582],"study_design_scores_gemma":[0.00009805162,0.0011900822,0.3273606,0.0016012641,0.00015096973,0.0006629182,0.11384731,0.019372165,0.004643842,0.4382185,0.092624806,0.00022950188],"about_ca_topic_score_codex":0.0028781057,"about_ca_topic_score_gemma":0.0015161659,"teacher_disagreement_score":0.010486582,"about_ca_system_score_codex":0.0038830745,"about_ca_system_score_gemma":0.0049532475,"threshold_uncertainty_score":0.041811287},"labels":[],"label_agreement":null},{"id":"W1572423543","doi":"10.1108/jmtm-08-2011-0079","title":"Effective management of international technology transfer projects","year":2014,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Context (archaeology); Textile; Textile industry; Competition (biology); Business; Quality (philosophy); Industrial organization; Order (exchange); Product (mathematics); Process (computing); Marketing; Computer science","score_opus":0.007838124695343271,"score_gpt":0.22032337338171357,"score_spread":0.2124852486863703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572423543","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":[0.7372886,0.0008796926,0.14155136,0.0032165821,0.00009998142,0.0027225525,0.0001087132,0.0005506026,0.11358182],"genre_scores_gemma":[0.96988255,0.0004489359,0.02386365,0.0000729218,0.000015997177,0.00034492597,0.000079132544,0.000026287948,0.0052657765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9908599,0.004574965,0.00052518846,0.0005482729,0.002343347,0.0011482785],"domain_scores_gemma":[0.9872433,0.0036161651,0.0033336715,0.0015748433,0.0025983998,0.0016335865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008055904,0.00069945614,0.00028576877,0.0026086795,0.002409706,0.0054220348,0.0014116162,0.001136649,0.0035805984],"category_scores_gemma":[0.018717103,0.00028527822,0.00038994307,0.0018415817,0.0011400437,0.002779447,0.0048171855,0.0010041953,0.0004511848],"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":[0.00017074861,0.0014323409,0.0577234,0.0008308908,0.00008392203,0.002259293,0.023759054,0.02191815,0.013835402,0.05051815,0.0048442534,0.8226244],"study_design_scores_gemma":[0.0002139481,0.0050825807,0.25979874,0.0026592482,0.00033692401,0.0030085363,0.17256291,0.11775389,0.036966797,0.07736575,0.3239815,0.0002692362],"about_ca_topic_score_codex":0.0021309564,"about_ca_topic_score_gemma":0.0029697348,"teacher_disagreement_score":0.008055904,"about_ca_system_score_codex":0.0034368755,"about_ca_system_score_gemma":0.010021425,"threshold_uncertainty_score":0.042604208},"labels":[],"label_agreement":null},{"id":"W1788433269","doi":"10.1108/17410381211253353","title":"Evaluation of alternative assembly line arrangements with stochastic operation times","year":2012,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Maximization; Line (geometry); Minification; Variance (accounting); Exponential function; Exponential distribution; Statistics; Mathematics; Computer science; Mathematical optimization","score_opus":0.015089177058242096,"score_gpt":0.25340262523567486,"score_spread":0.23831344817743277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1788433269","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":[0.74698675,0.0001410721,0.24241349,0.00014440253,0.000026329497,0.00017848564,0.00011286725,0.00024257039,0.009753987],"genre_scores_gemma":[0.9805988,0.00004329115,0.018325115,0.000008872899,0.0000019890545,0.000049511014,0.000035913898,0.000016559314,0.00092002127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834025,0.00083991693,0.000047099635,0.00013599779,0.00046593146,0.00017070213],"domain_scores_gemma":[0.99529296,0.0030821944,0.000713275,0.0002337628,0.0005630211,0.0001147681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001809806,0.00063621876,0.0005264073,0.0007156132,0.0003954549,0.0011160355,0.0008447189,0.00058422575,0.002870536],"category_scores_gemma":[0.0067517273,0.00040180533,0.00056549796,0.0006339629,0.0005322752,0.00074314466,0.00048782342,0.00052536343,0.00023565741],"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":[0.00006431922,0.000026180198,0.0007990302,0.0000130646,0.0000071654626,0.000019076673,0.000014218174,0.9948495,0.0005931094,0.0008992708,0.00003386209,0.00268116],"study_design_scores_gemma":[0.000011655045,0.0001470184,0.0005444939,0.000003736259,0.000008271082,0.000011029545,0.000022412209,0.9979949,0.0006993104,0.00037795206,0.00017381963,0.0000053690846],"about_ca_topic_score_codex":0.0082133785,"about_ca_topic_score_gemma":0.0068061743,"teacher_disagreement_score":0.0082133785,"about_ca_system_score_codex":0.0020149567,"about_ca_system_score_gemma":0.0014535015,"threshold_uncertainty_score":0.016331136},"labels":[],"label_agreement":null},{"id":"W1968575874","doi":"10.1108/09576060410512365","title":"Work load responsive adjustment of planned lead times","year":2004,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Lead time; Supply chain; Queueing theory; Work (physics); Minification; Computer science; Lead (geology); Delivery Performance; Operations research; Control (management); Operations management; Business; Industrial engineering; Engineering","score_opus":0.012829515889197665,"score_gpt":0.21647594824551802,"score_spread":0.20364643235632035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968575874","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":[0.20739499,0.00017852538,0.7785554,0.00026304496,0.00014711267,0.00017641891,0.00012609774,0.0036879447,0.009470432],"genre_scores_gemma":[0.97188765,0.000055279757,0.026287306,0.000054387496,0.000038049497,0.00008712549,0.00008275761,0.000118158896,0.0013894163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988707,0.00034177775,0.000062275656,0.00023194331,0.00036076314,0.00013252521],"domain_scores_gemma":[0.99536574,0.0021041958,0.0006717619,0.00065493264,0.0010118833,0.00019154325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017089915,0.00070605427,0.00041807015,0.0008544763,0.0005162632,0.0013603962,0.0013483847,0.0005016434,0.0023470302],"category_scores_gemma":[0.010637104,0.00045119622,0.0002199232,0.00050853105,0.0005318933,0.0010626813,0.00063412637,0.0008192042,0.0008147245],"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":[0.0011359501,0.00047005576,0.00811042,0.00011444348,0.00008897343,0.00014579059,0.0006927025,0.63844216,0.041227598,0.01534131,0.0027581197,0.29147252],"study_design_scores_gemma":[0.00009903147,0.00044602223,0.0054471036,0.000022485397,0.00003781567,0.00007360981,0.0001588735,0.95894223,0.01717422,0.012496155,0.005006854,0.000095655996],"about_ca_topic_score_codex":0.0016702341,"about_ca_topic_score_gemma":0.0015319779,"teacher_disagreement_score":0.0023470302,"about_ca_system_score_codex":0.0006324316,"about_ca_system_score_gemma":0.0009365339,"threshold_uncertainty_score":0.009038091},"labels":[],"label_agreement":null},{"id":"W1971414088","doi":"10.1108/17410381011077964","title":"A computer simulation approach to evaluating assembly line balancing with variable operation times","year":2010,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Maximization; Minification; Line (geometry); Assembly line; Computer science; Variable (mathematics); Simulation; Mathematical optimization; Engineering; Mathematics; Mechanical engineering","score_opus":0.00802099015545313,"score_gpt":0.2384375148387684,"score_spread":0.23041652468331528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971414088","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":[0.3149904,0.00029312936,0.6497511,0.00037359097,0.00006959531,0.00035492174,0.00039427716,0.0006899773,0.03308299],"genre_scores_gemma":[0.92405194,0.00022671149,0.07179111,0.000046720088,0.0000117664895,0.0004895849,0.00021851069,0.0000480493,0.0031156293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950385,0.00027457363,0.000016449094,0.000040945368,0.000110396984,0.000053692067],"domain_scores_gemma":[0.99824476,0.0012937016,0.000120859266,0.00007786951,0.00022393664,0.000038780574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068298634,0.00069085974,0.0006253205,0.0006159883,0.0004658705,0.00084924605,0.0008340517,0.0008927253,0.0031536089],"category_scores_gemma":[0.002795259,0.00042013964,0.00061304786,0.00068291865,0.000508707,0.0005715417,0.00038878963,0.00074158754,0.00024000589],"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":[0.000017816585,0.000011651876,0.00013635193,0.000008223952,0.0000045173347,0.000007784105,0.000007779111,0.99773115,0.0002966844,0.00093010545,0.000037249927,0.00081074773],"study_design_scores_gemma":[0.00000713121,0.000024080095,0.00006273254,0.000002148142,0.0000031725685,0.0000023700384,0.00000523148,0.9992735,0.00019709302,0.00023141564,0.00018886027,0.000002309579],"about_ca_topic_score_codex":0.022464057,"about_ca_topic_score_gemma":0.011331011,"teacher_disagreement_score":0.022464057,"about_ca_system_score_codex":0.0016253291,"about_ca_system_score_gemma":0.0017750401,"threshold_uncertainty_score":0.044666648},"labels":[],"label_agreement":null},{"id":"W1988148995","doi":"10.1108/17410381311327981","title":"Modelling human boredom at work: mathematical formulations and a probabilistic framework","year":2013,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Mind wandering and attention","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Ottawa","funders":"","keywords":"Boredom; Computer science; Originality; Probabilistic logic; Set (abstract data type); Work (physics); Absenteeism; Artificial intelligence; Engineering; Psychology; Social psychology","score_opus":0.03381530740533453,"score_gpt":0.2611952031245987,"score_spread":0.22737989571926417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988148995","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":[0.015505121,0.00049168995,0.97892237,0.00096636615,0.000037531914,0.000060690272,0.0001327248,0.000063021645,0.0038204251],"genre_scores_gemma":[0.7530692,0.002715757,0.23272374,0.00030540512,0.000307687,0.00079562556,0.00026576576,0.00006881764,0.009747981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895215,0.00054718973,0.000057425466,0.00018016409,0.00017316731,0.00008997914],"domain_scores_gemma":[0.99391407,0.004647795,0.0007598479,0.00017364294,0.00038041864,0.00012423746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033576603,0.0009785738,0.0006854911,0.001089922,0.00055148354,0.002032684,0.0020854303,0.0014916436,0.0025748045],"category_scores_gemma":[0.009950107,0.00067170593,0.0013622177,0.0009196509,0.0018293669,0.002876404,0.0015028294,0.0016513201,0.00043199415],"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":[0.000027668315,0.000093530834,0.003383535,0.00010331871,0.000057965837,0.0001392577,0.00042378486,0.83023846,0.00055679394,0.14478824,0.0010281188,0.019159326],"study_design_scores_gemma":[0.000004737715,0.0000168094,0.0005442271,0.000014091992,0.000009447103,0.00003613813,0.000046513618,0.9639944,0.000043398482,0.034844544,0.00043167762,0.000014018242],"about_ca_topic_score_codex":0.0119125685,"about_ca_topic_score_gemma":0.008661992,"teacher_disagreement_score":0.0119125685,"about_ca_system_score_codex":0.0018547906,"about_ca_system_score_gemma":0.0013754325,"threshold_uncertainty_score":0.023686409},"labels":[],"label_agreement":null},{"id":"W2006593106","doi":"10.1108/09576060410512374","title":"A decision support system for machine tool selection","year":2004,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":94,"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 Toronto","funders":"","keywords":"Flexibility (engineering); Selection (genetic algorithm); Computer science; Process (computing); Machine tool; Decision support system; Rank (graph theory); Product (mathematics); Productivity; Manufacturing engineering; Decision maker; Industrial engineering; Flexible manufacturing system; Operations research; Risk analysis (engineering); Engineering; Machine learning; Artificial intelligence; Operations management; Business; Economics; Mathematics; Mechanical engineering","score_opus":0.004596457634378293,"score_gpt":0.22023209338497454,"score_spread":0.21563563575059624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006593106","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":[0.0111127645,0.00029037296,0.96217597,0.00036046852,0.00015409611,0.0005934499,0.0012908751,0.020685159,0.0033369288],"genre_scores_gemma":[0.21977286,0.0004346917,0.76988155,0.0003930638,0.00012978418,0.0018743604,0.0028464529,0.00026450783,0.004402658],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988243,0.0003374447,0.00019077996,0.00020149151,0.0003768707,0.0000691333],"domain_scores_gemma":[0.9971668,0.0017547203,0.00016829539,0.00013193993,0.00066150876,0.00011666311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020153527,0.001386155,0.0014768,0.0015054833,0.0010208864,0.0024082635,0.0016226409,0.001467857,0.011761176],"category_scores_gemma":[0.006620252,0.00043938344,0.0007221104,0.0011917396,0.0003162885,0.0013421803,0.001125727,0.0013667888,0.0035323028],"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":[0.0016364716,0.0005570667,0.0029476935,0.0011074649,0.0002775316,0.0013466103,0.0003998481,0.20749836,0.016163107,0.014316145,0.037421454,0.71632826],"study_design_scores_gemma":[0.00027995848,0.00024070096,0.0007519041,0.00009596106,0.00009348539,0.0002241516,0.00006486081,0.9655336,0.0070163347,0.008751498,0.016881604,0.00006602853],"about_ca_topic_score_codex":0.0033699197,"about_ca_topic_score_gemma":0.0026220307,"teacher_disagreement_score":0.011761176,"about_ca_system_score_codex":0.00071834703,"about_ca_system_score_gemma":0.0013450288,"threshold_uncertainty_score":0.039345086},"labels":[],"label_agreement":null},{"id":"W2014643764","doi":"10.1108/17410381111134455","title":"Learning to be lean: the influence of external information sources in lean improvements","year":2011,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; St. Francis Xavier University","funders":"","keywords":"Human performance technology; Lean manufacturing; Lean project management; Process management; Knowledge management; Business; Lean software development; Lean laboratory; Originality; Lean IT; USable; Operations management; Computer science; Marketing; Engineering; Qualitative research; Sociology","score_opus":0.014573057385104409,"score_gpt":0.2161064696030737,"score_spread":0.20153341221796928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014643764","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":[0.98049325,0.0003779498,0.0026297965,0.0011765575,0.000014399873,0.00008886226,0.00007577696,0.00004137858,0.015101995],"genre_scores_gemma":[0.9975279,0.00018953359,0.001337591,0.00013724694,0.000011341796,0.000022787615,0.000043644555,0.00001296757,0.0007170257],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9879197,0.0076353247,0.00044744997,0.0006368529,0.002450887,0.0009097588],"domain_scores_gemma":[0.8452765,0.117577225,0.020930069,0.003957011,0.0065307245,0.005728539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008926921,0.0004829512,0.00040475593,0.002444449,0.001361426,0.00604921,0.0007652449,0.0008740274,0.005638127],"category_scores_gemma":[0.056847356,0.00034701484,0.00049211265,0.0020052341,0.0019810796,0.0027693098,0.0034859644,0.0015420979,0.00034459966],"study_design_candidate":"qualitative","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":[0.00089917,0.0023599146,0.77461994,0.0006001583,0.00031484375,0.00061966566,0.024556486,0.0024921128,0.0020934949,0.004309639,0.0009401158,0.18619446],"study_design_scores_gemma":[0.00012117004,0.0011378278,0.9415618,0.00083204254,0.00042702956,0.0003773876,0.035571218,0.0053768526,0.0031691105,0.004825008,0.006506727,0.000093757786],"about_ca_topic_score_codex":0.013441123,"about_ca_topic_score_gemma":0.015116921,"teacher_disagreement_score":0.013441123,"about_ca_system_score_codex":0.0034515676,"about_ca_system_score_gemma":0.005710335,"threshold_uncertainty_score":0.047210574},"labels":[],"label_agreement":null},{"id":"W2025721140","doi":"10.1108/17410380610688250","title":"Cellular manufacturing versus a hybrid system: a comparative study","year":2006,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cellular manufacturing; Job shop; Schedule; Scheduling (production processes); Flexible manufacturing system; Computer science; Manufacturing engineering; Manufacturing; Originality; Industrial engineering; Job shop scheduling; Reliability engineering; Engineering; Operations management; Flow shop scheduling; Business","score_opus":0.01249678816978784,"score_gpt":0.22493625437254738,"score_spread":0.21243946620275955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025721140","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":[0.985204,0.0011391817,0.006312837,0.000069750036,0.0000530732,0.00013208276,0.00012192054,0.000051328287,0.0069158482],"genre_scores_gemma":[0.99744165,0.00020229294,0.0018065105,0.000012234708,0.000012611854,0.000018484416,0.00007831285,0.000004285327,0.0004234948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985398,0.00072445744,0.0000667927,0.00012709864,0.0003880545,0.00015383367],"domain_scores_gemma":[0.99569964,0.0027291756,0.00028911265,0.0002879078,0.00079329405,0.00020090236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019811457,0.00041792865,0.0005442151,0.0010701097,0.00031996134,0.0013693131,0.00050927594,0.00046049128,0.0038546603],"category_scores_gemma":[0.0037061665,0.00014389443,0.0005137613,0.0011718358,0.00037920993,0.00090371625,0.00068244437,0.00024512818,0.0003429881],"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":[0.014497003,0.0021102254,0.08506815,0.0028004497,0.0014945662,0.0011021408,0.0006960189,0.49678117,0.028306436,0.0074276393,0.0024834056,0.35723284],"study_design_scores_gemma":[0.0009766844,0.079139516,0.1517581,0.00024134046,0.0022704913,0.001273125,0.0039169895,0.7114818,0.03163212,0.0035259444,0.013532413,0.00025151036],"about_ca_topic_score_codex":0.0030686273,"about_ca_topic_score_gemma":0.0031422803,"teacher_disagreement_score":0.0038546603,"about_ca_system_score_codex":0.0012220761,"about_ca_system_score_gemma":0.00045250257,"threshold_uncertainty_score":0.012895107},"labels":[],"label_agreement":null},{"id":"W2031153466","doi":"10.1108/jmtm-12-2013-0178","title":"On the value of response time characteristics in robust design of supply flow","year":2015,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Supply chain; Flexibility (engineering); Lead time; Randomness; Stock (firearms); Computer science; Robustness (evolution); Robust optimization; Risk analysis (engineering); Operations research; Operations management; Business; Engineering; Economics; Mathematical optimization; Marketing","score_opus":0.020168146717196998,"score_gpt":0.21638632261969823,"score_spread":0.19621817590250124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031153466","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":[0.021384612,0.00032212705,0.97467345,0.00022434989,0.00002865526,0.000047265265,0.00001732403,0.0001298325,0.0031723503],"genre_scores_gemma":[0.9397414,0.0003678632,0.058106486,0.000078167905,0.0000420352,0.000087673485,0.00003541174,0.000066797205,0.0014742409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980274,0.0009462098,0.00008322614,0.0002918211,0.00048640635,0.00016489875],"domain_scores_gemma":[0.98905516,0.008430117,0.0011282125,0.0003757692,0.0008724268,0.00013841005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004852144,0.0011775392,0.0008739367,0.00072408357,0.00046163687,0.00136765,0.00084937597,0.0010700522,0.0032123819],"category_scores_gemma":[0.014549178,0.00070793,0.0011122079,0.00048932276,0.0009376858,0.0011876577,0.0011128522,0.0015963446,0.00031293934],"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":[0.00010277496,0.000023310657,0.0002990025,0.00006944042,0.000019853733,0.00004610552,0.00003574333,0.98255056,0.001503667,0.0054645017,0.000103035614,0.009782039],"study_design_scores_gemma":[0.0000053400804,0.000100697485,0.00007988825,0.000010220265,0.000010266099,0.000010116725,0.0000066540506,0.9975592,0.00075114367,0.001261207,0.00019933919,0.000005818385],"about_ca_topic_score_codex":0.0019332395,"about_ca_topic_score_gemma":0.0009959646,"teacher_disagreement_score":0.004852144,"about_ca_system_score_codex":0.0009654803,"about_ca_system_score_gemma":0.0011075959,"threshold_uncertainty_score":0.025660932},"labels":[],"label_agreement":null},{"id":"W2037173571","doi":"10.1108/jmtm-09-2013-0136","title":"Technical-economic cost modeling as a technology management tool","year":2014,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Technology Assessment and Management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Production (economics); Unit cost; Key (lock); Manufacturing engineering; Cost reduction; Risk analysis (engineering); Computer science; Cost driver; Operations management; Engineering; Systems engineering; Operations research; Business; Mechanical engineering; Economics","score_opus":0.006046996312021274,"score_gpt":0.22155053279389392,"score_spread":0.21550353648187265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037173571","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":[0.021252215,0.0009171064,0.8921628,0.0031012292,0.00024166786,0.0004381865,0.00101077,0.00055004214,0.08032605],"genre_scores_gemma":[0.6114344,0.002876194,0.35840732,0.00049859786,0.00019155077,0.0016282143,0.0016126048,0.0005298312,0.02282132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981121,0.00076137524,0.00007987507,0.00011764446,0.0008043769,0.00012476815],"domain_scores_gemma":[0.9940275,0.003719256,0.0004917461,0.00046594767,0.0011678224,0.0001277445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037540721,0.001775596,0.00072312745,0.002620951,0.0006851739,0.0039168117,0.0020179937,0.0014685469,0.008459182],"category_scores_gemma":[0.008780399,0.00085485337,0.0012705082,0.0028519132,0.0007309832,0.004033625,0.0012284302,0.002135834,0.0011500124],"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":[0.000020371035,0.00006286395,0.0009313475,0.00013621218,0.00003301885,0.00006214175,0.000045730787,0.85959107,0.00037526825,0.107641846,0.0029944358,0.028105645],"study_design_scores_gemma":[0.000008649623,0.000039439154,0.00039345032,0.0000810572,0.000023155473,0.000045907913,0.00009708848,0.93627685,0.0006157683,0.047642674,0.014748071,0.000027844953],"about_ca_topic_score_codex":0.0074700946,"about_ca_topic_score_gemma":0.0062617883,"teacher_disagreement_score":0.008459182,"about_ca_system_score_codex":0.004370734,"about_ca_system_score_gemma":0.0038352553,"threshold_uncertainty_score":0.031712055},"labels":[],"label_agreement":null},{"id":"W2038174873","doi":"10.1108/17410380710743815","title":"The role of federal government funding on the outreach programs of independent industrial R&D establishments in Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Outreach; Commercialization; Government (linguistics); Originality; Position (finance); Business; Variety (cybernetics); Value (mathematics); Marketing; Economic growth; Economics; Political science; Finance; Computer science","score_opus":0.03650951720334861,"score_gpt":0.22016255408624183,"score_spread":0.18365303688289322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038174873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67681164,0.01030092,0.0020510936,0.08092122,0.0006857754,0.0005926515,0.0025341555,0.00019260935,0.22590987],"genre_scores_gemma":[0.98047894,0.0021110044,0.00090402074,0.0033244635,0.00003468352,0.00007246218,0.0003201044,0.000019329504,0.012734987],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9820795,0.0024287475,0.00042710587,0.00087493047,0.00485314,0.009336607],"domain_scores_gemma":[0.94325626,0.01081891,0.0037280805,0.0014721892,0.01949653,0.021228062],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.010045433,0.00034626928,0.0005260058,0.0033127079,0.011646752,0.007938036,0.0026660592,0.0017938789,0.0077069504],"category_scores_gemma":[0.030611807,0.00044199004,0.0004435251,0.0037961414,0.004162173,0.0015940252,0.0052152826,0.002389718,0.00034184815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0010214349,0.00054548477,0.30567363,0.002497598,0.0002717437,0.0029098415,0.034512065,0.0038510372,0.0040600454,0.17188185,0.11151223,0.36126298],"study_design_scores_gemma":[0.00011861153,0.0002171288,0.641289,0.002908944,0.0002768713,0.00033280242,0.06078777,0.002436413,0.0022136688,0.0037514083,0.28545457,0.00021281953],"about_ca_topic_score_codex":0.98407364,"about_ca_topic_score_gemma":0.99097896,"teacher_disagreement_score":0.9899546,"about_ca_system_score_codex":0.15969364,"about_ca_system_score_gemma":0.3901346,"threshold_uncertainty_score":0.97463626},"labels":[],"label_agreement":null},{"id":"W2049070865","doi":"10.1108/17410380610639489","title":"Application of cybernetics to manufacturing flexibility: a systems perspective","year":2006,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Variety (cybernetics); Flexibility (engineering); Cybernetics; Node (physics); Originality; Computer science; Flexible manufacturing system; Value (mathematics); Viable system model; Industrial engineering; Risk analysis (engineering); Manufacturing engineering; Engineering; Management science; Process management; Operations management; Economics; Business; Artificial intelligence; Management; Sociology","score_opus":0.04642131319925396,"score_gpt":0.34590507148553684,"score_spread":0.2994837582862829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049070865","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":[0.12816566,0.020796377,0.58970493,0.053716905,0.0008148597,0.000134478,0.0002220063,0.00017898547,0.20626573],"genre_scores_gemma":[0.97353655,0.0046104025,0.01882739,0.00059968885,0.0002980382,0.00007469375,0.000029674846,0.000009697089,0.002013861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990746,0.00051125564,0.000036341462,0.000101843936,0.00019024829,0.00008577101],"domain_scores_gemma":[0.9980869,0.0012944781,0.00022737317,0.00015126195,0.00012138927,0.00011861121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009510982,0.0006097677,0.00042938773,0.0017541687,0.00076950446,0.0042410214,0.0006979307,0.0011177821,0.0034850268],"category_scores_gemma":[0.0019729985,0.00023378203,0.00068041106,0.0012954972,0.0063507995,0.0035277926,0.0018403016,0.0018055282,0.00016113796],"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":[0.0000097133725,0.000020175445,0.0010847362,0.00010717281,0.000028075123,0.00017519547,0.00041898587,0.03190623,0.00033881748,0.95326304,0.00045410843,0.012193604],"study_design_scores_gemma":[0.000010834263,0.00006199871,0.0014182318,0.00013346804,0.000017212169,0.00015346789,0.0009457818,0.0465464,0.00028859876,0.93642336,0.013979149,0.000021465428],"about_ca_topic_score_codex":0.0026365987,"about_ca_topic_score_gemma":0.0018751891,"teacher_disagreement_score":0.0042410214,"about_ca_system_score_codex":0.00319922,"about_ca_system_score_gemma":0.0019172765,"threshold_uncertainty_score":0.023212075},"labels":[],"label_agreement":null},{"id":"W2055448882","doi":"10.1108/17410380610707366","title":"Dispersed network manufacturing: adapting SMEs to compete on the global scale","year":2006,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Production (economics); Knowledge management; Process management; Business","score_opus":0.007781302372195695,"score_gpt":0.1929283584619448,"score_spread":0.18514705608974913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055448882","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":[0.6220683,0.0006483397,0.11980235,0.008271793,0.00013402232,0.0003377531,0.00006599154,0.00017781695,0.24849366],"genre_scores_gemma":[0.9850155,0.00020883382,0.010780674,0.00028047845,0.000017870878,0.000092740884,0.000024469962,0.000014626878,0.003564838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9984078,0.0008942642,0.00005269162,0.00022952547,0.00020781471,0.00020787853],"domain_scores_gemma":[0.9982609,0.00061337784,0.0002931109,0.00025653167,0.0001925358,0.0003835453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023666597,0.0003166213,0.00019864467,0.000721907,0.0016331932,0.0045225457,0.0011798785,0.0012846936,0.004555391],"category_scores_gemma":[0.004071895,0.0001630587,0.00023713554,0.000769514,0.003019462,0.0047712675,0.005603648,0.00075213093,0.0006088704],"study_design_candidate":"qualitative","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":[0.0001994411,0.0003086042,0.036479134,0.00051892165,0.00007266745,0.0038849448,0.035674483,0.021567313,0.01011591,0.71546113,0.005451218,0.17026621],"study_design_scores_gemma":[0.00015914101,0.0011169133,0.02845703,0.00074558734,0.0000876641,0.002243282,0.13602327,0.070389576,0.004263507,0.5122921,0.24408075,0.00014110612],"about_ca_topic_score_codex":0.0016127003,"about_ca_topic_score_gemma":0.0023413373,"teacher_disagreement_score":0.004555391,"about_ca_system_score_codex":0.0022685078,"about_ca_system_score_gemma":0.0018166103,"threshold_uncertainty_score":0.016459227},"labels":[],"label_agreement":null},{"id":"W2071173580","doi":"10.1108/17410380410547843","title":"Comprehensive machine cell/part family formation using genetic algorithms","year":2004,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Toronto Metropolitan University","funders":"","keywords":"Crossover; Genetic algorithm; Measure (data warehouse); Binary number; Population; Mutation; Algorithm; Computer science; Quality (philosophy); Quality control and genetic algorithms; Mathematical optimization; Mathematics; Data mining; Artificial intelligence; Meta-optimization; Arithmetic","score_opus":0.014581451964806263,"score_gpt":0.2217271888837006,"score_spread":0.20714573691889435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071173580","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":[0.17298366,0.00021549911,0.82427365,0.000058215926,0.0000112677335,0.00009748729,0.000021161626,0.0003457215,0.0019934222],"genre_scores_gemma":[0.6656575,0.00015889056,0.33240336,0.000025416013,0.000011482409,0.00015906976,0.00010434916,0.00004832744,0.0014316327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996512,0.00013185291,0.00001101049,0.00007209286,0.00009740693,0.00003656601],"domain_scores_gemma":[0.99936193,0.0003417975,0.00010591594,0.00007006894,0.00008404201,0.000036293543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011189007,0.0006930484,0.0008444456,0.00080410816,0.00041049818,0.00053352985,0.0005841773,0.0005790071,0.00077195396],"category_scores_gemma":[0.0016537949,0.00026474497,0.00049030065,0.00089664455,0.0006422826,0.0006160255,0.0006862833,0.0004270664,0.00012797097],"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":[0.000023887818,0.000026793252,0.00050732936,0.000017840852,0.000016544322,0.000021613925,0.000042614298,0.9492052,0.0022003152,0.0025162036,0.00015978144,0.045261793],"study_design_scores_gemma":[0.000010153538,0.000049389088,0.00020779051,0.0000042446864,0.000008126417,0.000012822796,0.000016529362,0.996223,0.0010774038,0.0020375098,0.000349226,0.0000037145464],"about_ca_topic_score_codex":0.0028453385,"about_ca_topic_score_gemma":0.0026398255,"teacher_disagreement_score":0.0028453385,"about_ca_system_score_codex":0.000665311,"about_ca_system_score_gemma":0.0007809812,"threshold_uncertainty_score":0.0059173703},"labels":[],"label_agreement":null},{"id":"W2082122886","doi":"10.1108/17410380710763831","title":"Closed‐loop supply chain activities and derived benefits in manufacturing SMEs","year":2007,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Supply chain; Business; Industrial organization; Supply chain management; Sample (material); Process management; Product (mathematics); Marketing","score_opus":0.007988049316961112,"score_gpt":0.20968201206714113,"score_spread":0.20169396275018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082122886","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":[0.9971546,0.00011075505,0.00061221357,0.0000874888,6.296325e-7,0.000011115106,0.000018039274,0.0000034348927,0.0020017982],"genre_scores_gemma":[0.9998159,0.000025288462,0.00007934873,0.000004652509,3.713347e-7,0.0000022550348,0.00000900071,2.4158302e-7,0.00006307599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888307,0.00053707894,0.00008669312,0.000083994455,0.00023886844,0.00017030828],"domain_scores_gemma":[0.985805,0.009296249,0.0028320462,0.0004225352,0.0010880207,0.00055622065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017369367,0.00014941623,0.00017748128,0.0017662,0.00048113993,0.0013971033,0.00024742764,0.0004888095,0.0027359712],"category_scores_gemma":[0.011586555,0.000112763715,0.0002336969,0.0017869862,0.0011290842,0.0017396549,0.0013465367,0.00031834777,0.00018806315],"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":[0.0005189968,0.0006421134,0.9062293,0.0002610526,0.00008860894,0.0012522181,0.012094521,0.0052760234,0.0023221567,0.012474914,0.00022220907,0.058617804],"study_design_scores_gemma":[0.00006251446,0.0010574134,0.91798615,0.0002630514,0.0001122993,0.00080910407,0.03474715,0.018241795,0.0032955029,0.021060277,0.0023124132,0.000052363455],"about_ca_topic_score_codex":0.0020428027,"about_ca_topic_score_gemma":0.0025183093,"teacher_disagreement_score":0.0027359712,"about_ca_system_score_codex":0.00095455203,"about_ca_system_score_gemma":0.00073126156,"threshold_uncertainty_score":0.00918591},"labels":[],"label_agreement":null},{"id":"W2091164709","doi":"10.1108/17410380610639470","title":"Towards best management practices for implementing manufacturing flexibility","year":2006,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Flexibility (engineering); Process management; Best practice; Manufacturing; Computer science; Conceptual framework; Competitive advantage; Manufacturing engineering; Risk analysis (engineering); Knowledge management; Operations management; Business; Engineering; Marketing; Economics","score_opus":0.03317125452634126,"score_gpt":0.29095856211794763,"score_spread":0.2577873075916064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091164709","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":[0.01802548,0.12728046,0.6023026,0.1440631,0.0026080408,0.0022245105,0.0005515541,0.001386833,0.10155751],"genre_scores_gemma":[0.130318,0.062417436,0.7931268,0.007348165,0.00032386687,0.002113725,0.0005845241,0.00016833653,0.0035992248],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9190884,0.04205532,0.009108937,0.0046849432,0.02268234,0.0023801206],"domain_scores_gemma":[0.9116378,0.042016044,0.0112281665,0.009610863,0.023811707,0.0016954986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.075169064,0.0027188007,0.0017253672,0.015198494,0.004436978,0.021863302,0.0092538465,0.0070468257,0.002352906],"category_scores_gemma":[0.08481634,0.0013887514,0.0032228748,0.01180245,0.009976262,0.017995477,0.008033161,0.008463615,0.001229746],"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":[0.000048775673,0.00040449976,0.004255869,0.010574922,0.00027835043,0.00048743407,0.016037114,0.009772854,0.0014790358,0.46751788,0.01902635,0.4701169],"study_design_scores_gemma":[0.00007688911,0.00030723485,0.006051874,0.07054067,0.00037264088,0.00084783277,0.034467634,0.009335037,0.0043055476,0.5268676,0.34647655,0.00035044135],"about_ca_topic_score_codex":0.012163741,"about_ca_topic_score_gemma":0.01485408,"teacher_disagreement_score":0.075169064,"about_ca_system_score_codex":0.016753538,"about_ca_system_score_gemma":0.03804373,"threshold_uncertainty_score":0.39753675},"labels":[],"label_agreement":null},{"id":"W2162036502","doi":"10.1108/17410380510600491","title":"Dynamic cellular manufacturing under multiperiod planning horizons","year":2005,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cellular manufacturing; Computer science; Product (mathematics); Plan (archaeology); Cell formation; New product development; Originality; Operations research; Industrial engineering; Manufacturing engineering; Mathematical optimization; Engineering; Business; Mathematics; Marketing","score_opus":0.00728854536022386,"score_gpt":0.2227942179202082,"score_spread":0.21550567255998435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162036502","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":[0.17986159,0.0007720711,0.8035812,0.00047476662,0.00006133247,0.00016198143,0.0002686096,0.00022542146,0.014593033],"genre_scores_gemma":[0.95841634,0.00032778093,0.0377725,0.000032446787,0.000018116387,0.00007231483,0.00007804124,0.000022649305,0.0032597291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991928,0.00031000943,0.000024868858,0.00014878699,0.0001512265,0.00017231535],"domain_scores_gemma":[0.99876153,0.00071042875,0.00021094312,0.00008598062,0.00012640671,0.000104631166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012055351,0.0007014852,0.00062093546,0.0005145187,0.0005605526,0.0013658253,0.0009821043,0.00088116154,0.0036367108],"category_scores_gemma":[0.002517714,0.00049807446,0.00053372333,0.00092266966,0.00072538934,0.0012573351,0.00093475904,0.00074147625,0.00022441059],"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":[0.000047434598,0.000013263805,0.00019628627,0.000029025126,0.000008759485,0.000082659426,0.0000247292,0.9816698,0.00038906344,0.009076397,0.00020006893,0.0082624545],"study_design_scores_gemma":[0.000009244853,0.000053577332,0.00021821755,0.00000481189,0.000007733407,0.000026266254,0.00004614023,0.991962,0.00025542136,0.006747232,0.000662561,0.0000067478227],"about_ca_topic_score_codex":0.00884203,"about_ca_topic_score_gemma":0.008505876,"teacher_disagreement_score":0.00884203,"about_ca_system_score_codex":0.0020243842,"about_ca_system_score_gemma":0.0012321508,"threshold_uncertainty_score":0.017581105},"labels":[],"label_agreement":null},{"id":"W2755289507","doi":"10.1108/jmtm-05-2017-0094","title":"Examining potential benefits and challenges associated with the Internet of Things integration in supply chains","year":2017,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":367,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"University of Salford Manchester","keywords":"Supply chain; Supply chain management; Business; Internet of Things; Marketing; The Internet; Knowledge management; Computer science","score_opus":0.02417752710707636,"score_gpt":0.20448880263732017,"score_spread":0.18031127553024381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755289507","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":[0.96171695,0.000874657,0.004336716,0.006778423,0.00007938814,0.00017296578,0.000038168007,0.000014489651,0.02598833],"genre_scores_gemma":[0.996854,0.0005128279,0.0018307533,0.00021229738,0.000020321031,0.000033431905,0.00001759038,0.0000034426878,0.0005153629],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9919614,0.0042220214,0.0003614001,0.00034052797,0.002063811,0.0010508796],"domain_scores_gemma":[0.96396196,0.022191973,0.0049399766,0.00096729404,0.0061403266,0.0017984874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009745676,0.00036689301,0.00024706768,0.001528882,0.0022764737,0.0064064404,0.0006045031,0.0014496697,0.0028571968],"category_scores_gemma":[0.024788199,0.00027146115,0.00052071427,0.002225458,0.002038788,0.00668521,0.003752245,0.0014108784,0.0002600379],"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":[0.00035280953,0.0009898838,0.5421303,0.0026190015,0.00024010101,0.0034600506,0.080151185,0.0061647585,0.0073917895,0.053392027,0.0031577756,0.29995027],"study_design_scores_gemma":[0.000038203485,0.0015181014,0.38800406,0.003433084,0.00033505086,0.0014616463,0.49358526,0.012219333,0.005286702,0.048450395,0.045490652,0.00017749419],"about_ca_topic_score_codex":0.0020930145,"about_ca_topic_score_gemma":0.005038207,"teacher_disagreement_score":0.009745676,"about_ca_system_score_codex":0.0029734292,"about_ca_system_score_gemma":0.0043502664,"threshold_uncertainty_score":0.051540673},"labels":[],"label_agreement":null},{"id":"W2806051123","doi":"10.1108/jmtm-08-2017-0164","title":"A DEMATEL approach for evaluating barriers for sustainable end-of-life practices","year":2018,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":80,"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 Windsor","funders":"","keywords":"Originality; Context (archaeology); Value (mathematics); Business; Process management; Ishikawa diagram; Risk analysis (engineering); Knowledge management; Operations management; Engineering; Computer science; Marketing; Qualitative research; Sociology","score_opus":0.0305129732297692,"score_gpt":0.2995485200315686,"score_spread":0.2690355468017994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806051123","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":[0.2614405,0.0018180761,0.57880765,0.0043952405,0.00045249946,0.0349098,0.015388082,0.0018698904,0.10091837],"genre_scores_gemma":[0.3115532,0.0006442623,0.64304984,0.0003120964,0.00002577403,0.036262147,0.0028270967,0.00019556597,0.0051298835],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98100305,0.012954823,0.0015626304,0.0014205866,0.0024971585,0.0005618006],"domain_scores_gemma":[0.934651,0.049274195,0.003761013,0.0029587778,0.008625234,0.0007296356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030409126,0.0023118684,0.0015382342,0.025217058,0.0044533997,0.006392823,0.0026064236,0.0015516904,0.01878934],"category_scores_gemma":[0.0480539,0.0011221082,0.0038959975,0.01291936,0.0047709593,0.006037318,0.0067612957,0.0032425155,0.001091503],"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":[0.00067661155,0.0009171358,0.08469292,0.015314849,0.00090983283,0.001511518,0.2146769,0.00995256,0.0044705262,0.22943965,0.02349867,0.41393885],"study_design_scores_gemma":[0.0005723792,0.0013015257,0.09681967,0.0077905436,0.0012878367,0.0013018969,0.42465863,0.05270066,0.0063511105,0.15276013,0.25389495,0.00056059123],"about_ca_topic_score_codex":0.011553209,"about_ca_topic_score_gemma":0.020950891,"teacher_disagreement_score":0.030409126,"about_ca_system_score_codex":0.012316954,"about_ca_system_score_gemma":0.010951605,"threshold_uncertainty_score":0.16082078},"labels":[],"label_agreement":null},{"id":"W2942056382","doi":"10.1108/jmtm-06-2018-0190","title":"Exploring the influence of environmental and social standards in integrated management systems on economic performance of firms","year":2019,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Certification; Business; Sustainability; Environmental economics; Industrial organization; Corporate social responsibility; Mindset; Marketing; Economics; Management; Public relations","score_opus":0.015266174750387428,"score_gpt":0.20606676203018717,"score_spread":0.19080058727979973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942056382","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":[0.997068,0.00006647796,0.00021106978,0.000106993226,0.000002392206,0.000009458301,0.00001856503,0.000001956777,0.0025152501],"genre_scores_gemma":[0.9998259,0.000016287328,0.00007166328,0.000006295171,0.00000269763,0.0000024824703,0.000018121716,5.744599e-7,0.000056033277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932413,0.002636438,0.00043160806,0.00050285517,0.0023391955,0.00084871583],"domain_scores_gemma":[0.9669689,0.013256629,0.012318514,0.0013015225,0.0037326606,0.0024218338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006470402,0.00030670385,0.00031352017,0.0016131841,0.00065652735,0.0032429057,0.00038717702,0.00034680878,0.0014796377],"category_scores_gemma":[0.017766023,0.00011740802,0.00045943772,0.0020320495,0.0013462451,0.0016219128,0.0026365584,0.0006572022,0.00012318614],"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":[0.00016665533,0.0003746628,0.9743465,0.000041753166,0.00022066223,0.000105818566,0.0007240734,0.002539447,0.0004830165,0.001436958,0.000092952025,0.019467546],"study_design_scores_gemma":[0.0000045863026,0.0002826043,0.9950022,0.000024790528,0.000052400326,0.0000146721095,0.0015924867,0.001908298,0.00042277665,0.00037372886,0.00031190232,0.000009477182],"about_ca_topic_score_codex":0.006042279,"about_ca_topic_score_gemma":0.006853611,"teacher_disagreement_score":0.006470402,"about_ca_system_score_codex":0.0025949008,"about_ca_system_score_gemma":0.0018328539,"threshold_uncertainty_score":0.034219146},"labels":[],"label_agreement":null},{"id":"W2950842326","doi":"10.1108/jmtm-07-2018-0213","title":"Microfactories and the new economies of scale and scope","year":2019,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Scope (computer science); Originality; Economies of scale; Industrial organization; Automation; Business; Scale (ratio); Product (mathematics); Production (economics); Business model; Process management; Marketing; Computer science; Economics; Engineering","score_opus":0.004474630550123971,"score_gpt":0.20264761499450168,"score_spread":0.1981729844443777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950842326","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":[0.15601927,0.0124115925,0.107456125,0.017785553,0.00032943633,0.00032117844,0.00014129822,0.00027238321,0.7052631],"genre_scores_gemma":[0.9588162,0.0029730564,0.021765608,0.0009508742,0.00016760797,0.00028656697,0.000037904098,0.00006990285,0.014932383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99553114,0.0016586164,0.00020104946,0.00076186954,0.0013968435,0.0004504907],"domain_scores_gemma":[0.988194,0.005879522,0.0016167714,0.00258849,0.0007656453,0.0009556958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005941148,0.0005217942,0.00041035883,0.0021617583,0.0018106627,0.008372124,0.0012363261,0.0015012702,0.01075076],"category_scores_gemma":[0.012414685,0.00035417895,0.00077557616,0.0016704632,0.019807998,0.012144904,0.008496085,0.0017733173,0.00097389123],"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":[0.000022878252,0.000016869993,0.0010643624,0.00008315636,0.000010595895,0.000117840566,0.0009468246,0.0005101139,0.00024861205,0.971368,0.0008554859,0.024755219],"study_design_scores_gemma":[0.00003347299,0.0001232122,0.004465669,0.00044278143,0.000021581984,0.0006407237,0.0030805033,0.001461861,0.00065238576,0.825811,0.16322835,0.00003843737],"about_ca_topic_score_codex":0.0014192564,"about_ca_topic_score_gemma":0.0013463495,"teacher_disagreement_score":0.01075076,"about_ca_system_score_codex":0.0038170007,"about_ca_system_score_gemma":0.002379528,"threshold_uncertainty_score":0.035964906},"labels":[],"label_agreement":null},{"id":"W3094299728","doi":"10.1108/jmtm-07-2019-0251","title":"Local on-demand fabrication: microfactories and online manufacturing platforms","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Openness to experience; Conceptualization; Automation; Personalization; Computer science; Originality; Knowledge management; Data science; Manufacturing engineering; Engineering; World Wide Web; Sociology; Artificial intelligence; Mechanical engineering; Qualitative research","score_opus":0.02307437971242495,"score_gpt":0.23320436695006772,"score_spread":0.21012998723764276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094299728","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":[0.9073142,0.00059581216,0.0104001295,0.00067471457,0.000025733842,0.00012244949,0.00010904976,0.00005496277,0.08070288],"genre_scores_gemma":[0.9949238,0.00015608221,0.0019666902,0.000041438132,0.0000053281215,0.000026131438,0.0000314689,0.000008433461,0.0028406556],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972078,0.001106498,0.00015998646,0.00028825947,0.0005330005,0.0007043649],"domain_scores_gemma":[0.99435425,0.002672126,0.0013739102,0.0009482561,0.00021289107,0.0004385585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993794,0.00036489504,0.00024237699,0.0016247767,0.002347343,0.005305613,0.00096490467,0.000903619,0.016046943],"category_scores_gemma":[0.00416482,0.00027306273,0.00037551895,0.0029093234,0.005059043,0.0059415367,0.0062160143,0.00079126045,0.00081482076],"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":[0.00051767385,0.0005584779,0.18100807,0.0014931182,0.00008263081,0.011228085,0.12982556,0.0067819967,0.00572801,0.2544983,0.0037747424,0.40450338],"study_design_scores_gemma":[0.000049537706,0.0008520439,0.20962039,0.0013978471,0.00007834794,0.012022964,0.48866546,0.006133172,0.0068972865,0.04481313,0.22929649,0.0001733718],"about_ca_topic_score_codex":0.0015367973,"about_ca_topic_score_gemma":0.0024814704,"teacher_disagreement_score":0.016046943,"about_ca_system_score_codex":0.0021116,"about_ca_system_score_gemma":0.0010868806,"threshold_uncertainty_score":0.053682387},"labels":[],"label_agreement":null},{"id":"W3179082604","doi":"10.1108/jmtm-11-2020-0440","title":"Collaborative approach to digital transformation (CADT) model for manufacturing SMEs","year":2021,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerospace; Digital transformation; Manufacturing; Originality; Portfolio; Small and medium-sized enterprises; Digital manufacturing; Process management; Manufacturing engineering; Knowledge management; Business; Engineering management; Computer science; Marketing; Engineering; Qualitative research","score_opus":0.012857100144865586,"score_gpt":0.2224603657783809,"score_spread":0.20960326563351533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179082604","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":[0.36813912,0.0006086954,0.29326645,0.010221351,0.00011011123,0.0018116758,0.00038589287,0.00041536582,0.3250413],"genre_scores_gemma":[0.9495868,0.0002749366,0.043430492,0.00023767451,0.000009536309,0.00067181094,0.00012764127,0.000018323348,0.0056428155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953106,0.0027446123,0.00027391443,0.0005374973,0.0007565134,0.0003768273],"domain_scores_gemma":[0.9941036,0.002936326,0.0007598754,0.0006827478,0.0009487579,0.0005687422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034950848,0.00051122357,0.00030642943,0.0022442825,0.0027395098,0.004773657,0.0015543018,0.0016004789,0.004987068],"category_scores_gemma":[0.0071786353,0.00017573786,0.0008549515,0.0018309592,0.0036655662,0.005054674,0.0045966813,0.0012829254,0.0007405257],"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":[0.00015998255,0.0006612598,0.04405718,0.0007376742,0.000090186324,0.0036574474,0.08582405,0.020589365,0.0025372393,0.71496385,0.0049197236,0.12180201],"study_design_scores_gemma":[0.0002446879,0.0009315322,0.03822066,0.0012562973,0.00024062893,0.0040426156,0.2271554,0.16414127,0.0039900304,0.36111236,0.1984887,0.00017580444],"about_ca_topic_score_codex":0.007238642,"about_ca_topic_score_gemma":0.0074330536,"teacher_disagreement_score":0.007238642,"about_ca_system_score_codex":0.0052412823,"about_ca_system_score_gemma":0.006442154,"threshold_uncertainty_score":0.03802842},"labels":[],"label_agreement":null},{"id":"W3191912470","doi":"10.1108/jmtm-02-2021-0060","title":"Integrating manufacturing and R&D functions for better quality and product development performance","year":2021,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mediation; Quality (philosophy); Originality; Product (mathematics); Manufacturing; New product development; Knowledge management; Process management; Manufacturing engineering; Business; Value (mathematics); Computer science; Engineering; Marketing; Psychology; Mathematics","score_opus":0.033928755872589124,"score_gpt":0.2596045363038702,"score_spread":0.2256757804312811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191912470","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":[0.9641853,0.0019063967,0.013187316,0.00092567154,0.000024680467,0.0001388817,0.000048809146,0.00012009335,0.019462796],"genre_scores_gemma":[0.9898685,0.00035854572,0.008917916,0.0001216077,0.000012542827,0.000018260238,0.000029616716,0.0000085276615,0.0006644828],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99181503,0.0034390676,0.00069983094,0.0007144489,0.0024367077,0.00089493225],"domain_scores_gemma":[0.9781924,0.0062883617,0.008830671,0.0025943588,0.0021738994,0.0019202284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008043655,0.0004888873,0.0003372684,0.0014786609,0.00091129256,0.004598565,0.00068121555,0.00045589762,0.0023697352],"category_scores_gemma":[0.012284026,0.00023478568,0.0006008344,0.0022510567,0.001044274,0.0017766325,0.004069229,0.0008057142,0.0005387956],"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":[0.00019774775,0.0010806618,0.44003776,0.0007528563,0.00041826325,0.00033425307,0.0032269938,0.005972567,0.02202322,0.007541764,0.00055623776,0.5178577],"study_design_scores_gemma":[0.00008384957,0.0018694887,0.9354365,0.0005144076,0.00048179762,0.0008030332,0.0090917265,0.007835577,0.020342173,0.0065463358,0.01689564,0.00009944666],"about_ca_topic_score_codex":0.0026078024,"about_ca_topic_score_gemma":0.0035860145,"teacher_disagreement_score":0.008043655,"about_ca_system_score_codex":0.0022542237,"about_ca_system_score_gemma":0.004953076,"threshold_uncertainty_score":0.042539477},"labels":[],"label_agreement":null},{"id":"W4307713563","doi":"10.1108/jmtm-12-2021-0503","title":"Manufacturer's servitization level and financial performance: the role of risk management","year":2022,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Risk management; Business; Financial services; Originality; Extant taxon; Risk analysis (engineering); Dimension (graph theory); Financial management; Empirical research; Structural equation modeling; Process management; Operations management; Finance; Economics; Computer science; Qualitative research","score_opus":0.007572618343752207,"score_gpt":0.18602034866163603,"score_spread":0.17844773031788383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307713563","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":[0.99688053,0.00024194535,0.0005110678,0.00019973546,0.000004119418,0.000021275531,0.00007133268,0.000009616403,0.002060285],"genre_scores_gemma":[0.9995789,0.00004387202,0.0002214716,0.0000124498965,0.0000047586195,0.0000033648062,0.000034173725,8.2321327e-7,0.00010022247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970772,0.0010188106,0.00037088027,0.00020798176,0.0010598581,0.00026529247],"domain_scores_gemma":[0.9390258,0.027870353,0.025255831,0.0019539373,0.003110127,0.0027838533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003592884,0.0003098235,0.00034096217,0.0011793891,0.0003910077,0.0027591912,0.00041756048,0.0006283937,0.0029283229],"category_scores_gemma":[0.022078114,0.00010817947,0.00038730088,0.0012643876,0.00077533454,0.0014216893,0.001060458,0.00076912035,0.0004048175],"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":[0.0001785026,0.00030316395,0.97279537,0.00007975558,0.00009554664,0.00009679672,0.00046244732,0.0014865198,0.0003818481,0.0008375205,0.0001406305,0.02314186],"study_design_scores_gemma":[0.000009961795,0.0006683888,0.9875289,0.00009420279,0.00010391422,0.00019209014,0.0018489413,0.006691178,0.0008120068,0.0012986572,0.0007196278,0.000032126292],"about_ca_topic_score_codex":0.001440174,"about_ca_topic_score_gemma":0.0011368255,"teacher_disagreement_score":0.003592884,"about_ca_system_score_codex":0.0010818838,"about_ca_system_score_gemma":0.001130746,"threshold_uncertainty_score":0.019001186},"labels":[],"label_agreement":null},{"id":"W4311607002","doi":"10.1108/jmtm-04-2022-0173","title":"Effect of Industry 4.0 on the relationship between socio-technical practices and workers' performance","year":2022,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Originality; Productivity; Manufacturing; Knowledge management; Business; Quality (philosophy); Industry 4.0; Value (mathematics); Marketing; Engineering; Psychology; Computer science; Economics","score_opus":0.025741940407381352,"score_gpt":0.26572885491645093,"score_spread":0.2399869145090696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311607002","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":[0.99346995,0.00021683156,0.00069608196,0.00028910584,0.000009015532,0.000030754778,0.000069083326,0.000012641456,0.0052066282],"genre_scores_gemma":[0.99866235,0.00008467182,0.00067349296,0.00004879825,0.000008794913,0.000022963097,0.00003708186,0.0000032273103,0.00045853894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99496245,0.0022639297,0.00039673925,0.00053300906,0.0012434485,0.0006003744],"domain_scores_gemma":[0.9552258,0.02041709,0.016100498,0.0023131215,0.0032313324,0.0027121622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050191493,0.0002765745,0.00021147905,0.0013516678,0.0006978605,0.0019644334,0.00049289176,0.0004586927,0.00464065],"category_scores_gemma":[0.017723827,0.00015221971,0.00037269545,0.0010290531,0.0014072707,0.00072578306,0.0024589158,0.00060252956,0.000505071],"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":[0.00014091237,0.0001771617,0.9464751,0.00015446455,0.00005441413,0.00009111992,0.004167656,0.00020468632,0.0016949079,0.00064638694,0.00019525216,0.04599784],"study_design_scores_gemma":[0.0000052081477,0.0004480704,0.99031574,0.000096605276,0.00003070114,0.000057655783,0.0062519354,0.00023752333,0.00059200096,0.00036197095,0.001589973,0.000012571348],"about_ca_topic_score_codex":0.0022935409,"about_ca_topic_score_gemma":0.002721732,"teacher_disagreement_score":0.0050191493,"about_ca_system_score_codex":0.0012305634,"about_ca_system_score_gemma":0.0017488169,"threshold_uncertainty_score":0.026544094},"labels":[],"label_agreement":null},{"id":"W4372358112","doi":"10.1108/jmtm-01-2023-0010","title":"Open-source 3-D printing materials database generator","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Open source; Python (programming language); Computer science; Generator (circuit theory); Originality; Database; Process engineering; Materials science; Engineering; Operating system","score_opus":0.019661445753544164,"score_gpt":0.24609326727685893,"score_spread":0.22643182152331476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372358112","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011419712,0.000617481,0.44364312,0.0004333835,0.0003089317,0.00084014627,0.077578865,0.45262784,0.012530545],"genre_scores_gemma":[0.14096698,0.0010359295,0.4791201,0.0008169974,0.00011357031,0.0025997437,0.32635757,0.035196364,0.013792821],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99846244,0.00014005763,0.00018856811,0.00038514324,0.000719163,0.000104708015],"domain_scores_gemma":[0.9971625,0.00082749536,0.00020243065,0.0010585821,0.00059646636,0.0001525013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019972802,0.0021408896,0.0012650021,0.0024737453,0.0005239482,0.0026656382,0.0068963883,0.0018177112,0.034540378],"category_scores_gemma":[0.0073219016,0.0012368949,0.002798861,0.002407363,0.0007401,0.0033347001,0.0036791991,0.0020028432,0.022837074],"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":[0.002839146,0.0007296928,0.0076135797,0.004284309,0.0005127708,0.0020603444,0.0004350485,0.07024728,0.03313264,0.02557653,0.41543204,0.43713653],"study_design_scores_gemma":[0.00096736924,0.0003395876,0.004983899,0.00026420678,0.00015150488,0.001521075,0.00015051938,0.41081637,0.12554999,0.02803957,0.42691642,0.00029946974],"about_ca_topic_score_codex":0.0015424694,"about_ca_topic_score_gemma":0.001502893,"teacher_disagreement_score":0.034540378,"about_ca_system_score_codex":0.0010829794,"about_ca_system_score_gemma":0.0015952673,"threshold_uncertainty_score":0.11554909},"labels":[],"label_agreement":null},{"id":"W4380787731","doi":"10.1108/jmtm-10-2022-0359","title":"Organizational changes approaches to facilitate the management of Industry 4.0 transformation in manufacturing SMEs","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Originality; Knowledge management; Manufacturing; Business; Digital transformation; Process management; Organizational performance; Organizational learning; Advanced manufacturing; Value (mathematics); Computer science; Marketing; Qualitative research","score_opus":0.06671729317979538,"score_gpt":0.2202552954760784,"score_spread":0.153538002296283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380787731","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":[0.8819638,0.00079321483,0.0396239,0.010127628,0.00015252705,0.0006867086,0.000035499957,0.00029350238,0.06632322],"genre_scores_gemma":[0.98542815,0.00019446325,0.011612829,0.00043520148,0.000018814038,0.00011923475,0.000020854497,0.000010366888,0.0021600407],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99407876,0.0036166087,0.00026552356,0.0003889793,0.0009113313,0.0007388429],"domain_scores_gemma":[0.98631257,0.0047094217,0.0030910692,0.0016408875,0.0017204079,0.0025256518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052029714,0.00026868645,0.00017362509,0.0013300349,0.0029541224,0.0044042883,0.0011950759,0.0010762792,0.0021923543],"category_scores_gemma":[0.012759716,0.00015831993,0.00042230813,0.0010438274,0.002317254,0.0024482033,0.0046939147,0.0013004174,0.00041568375],"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":[0.00018107504,0.0027103957,0.09380995,0.0009601583,0.00012261244,0.002002844,0.14640996,0.0031203157,0.012198974,0.040871013,0.0054235216,0.6921892],"study_design_scores_gemma":[0.00016181875,0.0037176637,0.25095016,0.0016171456,0.00015475144,0.0022751708,0.46532044,0.0091021415,0.012894441,0.044624113,0.20895377,0.00022841465],"about_ca_topic_score_codex":0.0016719159,"about_ca_topic_score_gemma":0.004193933,"teacher_disagreement_score":0.0052029714,"about_ca_system_score_codex":0.003425591,"about_ca_system_score_gemma":0.006441648,"threshold_uncertainty_score":0.027516246},"labels":[],"label_agreement":null},{"id":"W4411918070","doi":"10.1108/jmtm-10-2024-0584","title":"The effect of TQM on firms’ performance: the mediating role of environmental management practices and green innovation","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Total quality management; Business; Process management; Knowledge management; Industrial organization; Operations management; Engineering; Marketing; Computer science; Lean manufacturing","score_opus":0.003366569744625553,"score_gpt":0.2075014227236999,"score_spread":0.20413485297907435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411918070","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":[0.9906475,0.0005319736,0.0005916979,0.00086277054,0.000021285581,0.00004307912,0.00008230066,0.0000097270595,0.007209684],"genre_scores_gemma":[0.9992538,0.00015707323,0.00023079595,0.00004597384,0.000007532694,0.0000116798565,0.000018922135,0.0000012271129,0.00027301707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734586,0.0011164123,0.00014326483,0.00040927686,0.00039947467,0.0005857272],"domain_scores_gemma":[0.9825889,0.009428616,0.0046579447,0.0006040016,0.0013370172,0.0013836406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028611626,0.0005473181,0.00044551498,0.001204786,0.0010502852,0.0031285195,0.00068691705,0.00089067983,0.006287476],"category_scores_gemma":[0.009142269,0.00021033824,0.0008091508,0.0012530067,0.0017595851,0.0018457815,0.0026248293,0.0011759985,0.00029067197],"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":[0.00026691475,0.0016237417,0.9173701,0.0008171463,0.0006800529,0.00068265625,0.0067867935,0.0020214713,0.0016871253,0.010917621,0.0006591235,0.056487296],"study_design_scores_gemma":[0.000029135472,0.000652035,0.9782575,0.00047283038,0.00042263637,0.00011564189,0.010662757,0.0027413005,0.0012381199,0.0029350924,0.00244167,0.000031319087],"about_ca_topic_score_codex":0.014274693,"about_ca_topic_score_gemma":0.01494352,"teacher_disagreement_score":0.014274693,"about_ca_system_score_codex":0.0025832388,"about_ca_system_score_gemma":0.005608358,"threshold_uncertainty_score":0.028383195},"labels":[],"label_agreement":null},{"id":"W4416739747","doi":"10.1108/jmtm-08-2025-0789","title":"Building antifragile manufacturing systems through strategic technology integration","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Interoperability; Digital transformation; Operationalization; Adaptability; Industry 4.0; Competitive advantage; Dynamic capabilities; Advanced manufacturing; Delphi method","score_opus":0.013521156140115705,"score_gpt":0.2540574657840668,"score_spread":0.2405363096439511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416739747","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":[0.1152338,0.0012687008,0.7685677,0.008220852,0.00023481344,0.0009858087,0.000075526776,0.00080248964,0.10461036],"genre_scores_gemma":[0.7229332,0.00088351406,0.2681891,0.001156845,0.000046391422,0.00043542596,0.0001882086,0.00009317704,0.006074125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9850873,0.0076848855,0.0007454199,0.0014914179,0.0032777558,0.0017132465],"domain_scores_gemma":[0.98886526,0.00480811,0.0013335211,0.001998716,0.0019691736,0.0010252572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019205267,0.0014071957,0.00059937016,0.004587752,0.0039032083,0.0127416,0.0031008641,0.0033353851,0.004999971],"category_scores_gemma":[0.014397254,0.0006143832,0.0011621962,0.0019475392,0.009955778,0.011087761,0.017718688,0.0031141941,0.0014536746],"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":[0.00008914366,0.00027591188,0.00589277,0.0009166922,0.00016474837,0.0013298027,0.02790816,0.03329028,0.008026894,0.71072894,0.0035145266,0.20786215],"study_design_scores_gemma":[0.000064686756,0.0005974984,0.0032334405,0.0017414865,0.00013898808,0.0009069714,0.039505996,0.05597523,0.0096580135,0.6591104,0.22887804,0.00018924706],"about_ca_topic_score_codex":0.0020118102,"about_ca_topic_score_gemma":0.0025309776,"teacher_disagreement_score":0.019205267,"about_ca_system_score_codex":0.006466172,"about_ca_system_score_gemma":0.01531204,"threshold_uncertainty_score":0.1015684},"labels":[],"label_agreement":null},{"id":"W7087425553","doi":"10.1108/jmtm-11-2024-0642","title":"Driving new product development performance: the mediating role of absorptive capacity in open innovation for SMEs","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing Technology Management","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Absorptive capacity; Dimension (graph theory); New product development; Dynamic capabilities; Open innovation; Conceptual model; Identification (biology); Structural equation modeling; Survey data collection","score_opus":0.042830613376831826,"score_gpt":0.2302842836781954,"score_spread":0.18745367030136356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7087425553","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":[0.9939102,0.00022458145,0.0007523057,0.0003149507,0.0000037640743,0.000017489598,0.000028632932,0.000006851879,0.004741257],"genre_scores_gemma":[0.99969304,0.000056561345,0.00013802656,0.000008444941,0.0000016766005,0.000005670731,0.000007376515,8.8959126e-7,0.00008836118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952341,0.0027874836,0.00030670332,0.0004273797,0.0006147944,0.0006295638],"domain_scores_gemma":[0.9398219,0.041990362,0.009613803,0.002177424,0.0026165282,0.0037799939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004430224,0.00042160344,0.00042212845,0.0014443604,0.0008451154,0.0042073308,0.00045233613,0.0007139821,0.0028489546],"category_scores_gemma":[0.024772953,0.00026374302,0.0004720496,0.001111584,0.002067594,0.0025614311,0.0050384817,0.00080635486,0.00027851673],"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":[0.00030128093,0.0005147277,0.9176974,0.0004925103,0.0002781866,0.0010703133,0.01746253,0.0034961384,0.002911477,0.0077578607,0.0002387282,0.047778893],"study_design_scores_gemma":[0.000025535823,0.000499965,0.94762087,0.0004908433,0.00018979951,0.00042333905,0.032316145,0.005543703,0.0020259477,0.007757713,0.0030476402,0.000058530677],"about_ca_topic_score_codex":0.0033168932,"about_ca_topic_score_gemma":0.0029929427,"teacher_disagreement_score":0.004430224,"about_ca_system_score_codex":0.0016229949,"about_ca_system_score_gemma":0.0027195767,"threshold_uncertainty_score":0.023429513},"labels":[],"label_agreement":null}]}