{"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8669922,0.0008950135,0.0015249944,0.018649586,0.00069207995,0.001069265,8.130965e-7,0.000741978,0.10943407],"genre_scores_gemma":[0.9783072,0.00052502356,0.019222798,0.00057468866,0.00018031539,0.000055253655,0.0000025645923,0.000036473095,0.0010956938],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977797,0.000010024497,0.0009368805,0.00040789988,0.00036427908,0.0005012109],"domain_scores_gemma":[0.99902695,0.000014994774,0.00040288136,0.00045038722,0.000090781425,0.000014015299],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006537532,0.00035248528,0.00042203921,0.0044570267,0.00021247106,0.00022290972,0.00076691405,0.00015876177,0.000046562323],"category_scores_gemma":[0.000024423378,0.00032314262,0.00008556596,0.0006422319,0.00014138895,0.0010761612,0.0011092194,0.00048466003,0.00009159781],"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":[0.00008316415,0.00031867606,0.0013923687,0.00055449444,0.00026881302,0.00033764003,0.000046395693,0.0025767216,0.00006718772,0.34639174,0.0011997371,0.6467631],"study_design_scores_gemma":[0.008049973,0.00013006902,0.020860812,0.0010416537,0.00041074614,0.00011442657,0.018816305,0.0017486524,0.036174603,0.07379253,0.83732206,0.0015381637],"about_ca_topic_score_codex":0.0000034836692,"about_ca_topic_score_gemma":0.00006228954,"teacher_disagreement_score":0.83612233,"about_ca_system_score_codex":0.00018988475,"about_ca_system_score_gemma":0.0000055814903,"threshold_uncertainty_score":0.99992204},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9652455,0.00003562725,0.00015533244,0.00057466264,0.00031405388,0.00040531415,1.7302308e-7,0.00006554504,0.033203784],"genre_scores_gemma":[0.99862075,0.000044721164,0.00064367906,0.0002833874,0.00013250984,0.000014759164,0.000001149828,0.00001879047,0.00024027494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982226,0.000011916751,0.0009008354,0.00020534797,0.0003913031,0.00026801275],"domain_scores_gemma":[0.99854434,0.000011726511,0.0009245976,0.00035157255,0.00015948854,0.000008259814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033101448,0.00019189011,0.00041584994,0.003518903,0.00009462698,0.00002418044,0.00065741246,0.00005587896,0.000044700737],"category_scores_gemma":[0.000030104562,0.00017173399,0.00007609782,0.0014004826,0.000093679475,0.00033328045,0.00052429567,0.00030714157,0.00005621935],"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":[0.0008556518,0.013925051,0.6846389,0.0016088296,0.001990009,0.010203687,0.0024854012,0.0049721566,0.0000720959,0.06914304,0.014123775,0.19598135],"study_design_scores_gemma":[0.013554467,0.00094285293,0.717863,0.00031069765,0.00045708363,0.000110069836,0.04552572,0.00029492358,0.0014755052,0.008544227,0.20977017,0.0011512669],"about_ca_topic_score_codex":0.00002147853,"about_ca_topic_score_gemma":0.000120419696,"teacher_disagreement_score":0.19564639,"about_ca_system_score_codex":0.00007172088,"about_ca_system_score_gemma":0.000008052069,"threshold_uncertainty_score":0.7003109},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97778916,0.0003623346,0.0028936246,0.005461112,0.00029658517,0.00025996094,4.1590624e-7,0.00013439824,0.012802417],"genre_scores_gemma":[0.99655986,0.00017260546,0.0018841898,0.00052920065,0.0002560974,0.000012247624,0.0000019196325,0.000015982812,0.00056789315],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987669,0.000007956506,0.00045454,0.00018757273,0.00033044096,0.00025257995],"domain_scores_gemma":[0.9993032,0.0000101397,0.00023443627,0.00022186468,0.00020558518,0.000024773737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000715564,0.00017570001,0.00024009177,0.00097282825,0.0001497025,0.00023971924,0.00043469126,0.00007719618,0.00003281668],"category_scores_gemma":[0.000057507394,0.00014846142,0.000034600926,0.00034769357,0.000106010724,0.0012462218,0.00042099605,0.00022979209,0.00005608439],"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":[0.00072449155,0.0013928981,0.024324896,0.007993188,0.0015409414,0.0010957081,0.00047762936,0.055862986,0.0000533013,0.2779513,0.049191684,0.579391],"study_design_scores_gemma":[0.007157149,0.00084507064,0.03410293,0.0008014222,0.0009397592,0.00030532776,0.0133732455,0.004726945,0.005778655,0.10276566,0.82760066,0.0016031702],"about_ca_topic_score_codex":0.000014836113,"about_ca_topic_score_gemma":0.000023282888,"teacher_disagreement_score":0.778409,"about_ca_system_score_codex":0.00004619339,"about_ca_system_score_gemma":0.0000238223,"threshold_uncertainty_score":0.6054081},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45004278,0.00017326388,0.033207897,0.009324056,0.0034730611,0.0017857471,0.0000015497783,0.00053354603,0.5014581],"genre_scores_gemma":[0.9934905,0.00008718604,0.0049954494,0.00036387212,0.0003378554,0.000060403665,0.0000036598035,0.000038526192,0.00062255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774694,0.00001647289,0.0009434428,0.0003550728,0.0005490758,0.00038896492],"domain_scores_gemma":[0.9984557,0.000020217647,0.00065346697,0.0004843694,0.0003725524,0.000013679931],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010509038,0.00031719933,0.00048483777,0.0046053524,0.00011611662,0.000077624885,0.0012437785,0.00018674004,0.000088904264],"category_scores_gemma":[0.0000315632,0.0002837128,0.00017590052,0.0011521977,0.00018160876,0.0004287589,0.0007205029,0.00039689319,0.000098085235],"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":[0.00013712795,0.00035066946,0.0016310796,0.0009264473,0.0010004691,0.000118644006,0.000022874774,0.000096218384,0.00016354023,0.7891033,0.0010705412,0.20537904],"study_design_scores_gemma":[0.008460225,0.0003915237,0.012237384,0.0015316361,0.0010743462,0.0000741139,0.005007833,0.00067304407,0.052427143,0.13900872,0.7780394,0.0010746312],"about_ca_topic_score_codex":0.0000021106257,"about_ca_topic_score_gemma":0.0000026289213,"teacher_disagreement_score":0.77696884,"about_ca_system_score_codex":0.00012093517,"about_ca_system_score_gemma":0.000005741394,"threshold_uncertainty_score":0.9999615},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64507157,0.00027024033,0.35299015,0.000113455666,0.00031507324,0.00029976445,9.0213103e-7,0.000078998324,0.00085984083],"genre_scores_gemma":[0.98191345,0.0000450815,0.01786629,0.0000065994436,0.000100776706,0.000015379697,0.0000030293968,0.000025676482,0.000023709314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986363,0.000038212325,0.00040347496,0.00008428613,0.0006383064,0.00019941239],"domain_scores_gemma":[0.9992334,0.000017734268,0.00029600068,0.00018685411,0.00023009282,0.00003588331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010993223,0.00014737438,0.00022396386,0.0006273358,0.00003359335,0.000012241753,0.00019982066,0.00007215195,0.000027840879],"category_scores_gemma":[0.00003138991,0.00012372895,0.000033670898,0.00013877511,0.000026086098,0.00034967606,0.000050386916,0.00017081977,0.0000060581756],"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":[0.000018858023,0.000072152085,0.00017457461,0.000052460193,0.00046828503,0.0000026046173,0.00010704893,0.97860223,0.0004934802,0.00017052241,0.00012591062,0.019711902],"study_design_scores_gemma":[0.0041352124,0.0005806413,0.007771264,0.0005628195,0.0018033787,0.00008231431,0.00077860407,0.5161456,0.46583793,0.0014742005,0.00035365776,0.0004744207],"about_ca_topic_score_codex":9.773332e-7,"about_ca_topic_score_gemma":0.000001761622,"teacher_disagreement_score":0.46534443,"about_ca_system_score_codex":0.00023183072,"about_ca_system_score_gemma":0.000012519055,"threshold_uncertainty_score":0.504552},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9233262,0.0015766703,0.004001464,0.01972438,0.0028115006,0.0011820493,0.0000024160547,0.00039304834,0.046982303],"genre_scores_gemma":[0.99295205,0.0001830461,0.004189337,0.00096937636,0.00046009774,0.000019026333,0.00000274611,0.000041735457,0.0011825624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975437,0.000014862594,0.00091976445,0.0003116923,0.00074969867,0.0004602967],"domain_scores_gemma":[0.9980211,0.000028144228,0.0011621256,0.0005477617,0.00021737418,0.000023478511],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007789363,0.00032891546,0.00052915845,0.0019569625,0.00011597121,0.00006623693,0.0009707825,0.00015533641,0.00022004683],"category_scores_gemma":[0.00007396355,0.000288664,0.0002387957,0.000625212,0.00018248052,0.00056120235,0.0006919412,0.00035946956,0.0001742021],"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":[0.006062131,0.003703604,0.0049665626,0.0034805967,0.0054850937,0.0035333624,0.00046092385,0.03506874,0.0008792221,0.51823545,0.18103246,0.23709182],"study_design_scores_gemma":[0.0124648325,0.0008999567,0.024958642,0.002364194,0.0013483121,0.0000870397,0.006932065,0.000058446818,0.06693633,0.21156082,0.6709395,0.001449856],"about_ca_topic_score_codex":0.000019425288,"about_ca_topic_score_gemma":0.000009063941,"teacher_disagreement_score":0.48990703,"about_ca_system_score_codex":0.00036315984,"about_ca_system_score_gemma":0.00003465592,"threshold_uncertainty_score":0.99995655},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34636196,0.000008467899,0.6516392,0.00010296029,0.0002631016,0.00024352095,3.5465888e-7,0.00022120158,0.00115919],"genre_scores_gemma":[0.5645223,0.0000026538414,0.43524575,0.000028079126,0.00013089705,0.000008164241,0.000002784378,0.000025623229,0.000033712935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878055,0.00001794449,0.00045597836,0.0001857164,0.00031079134,0.0002489999],"domain_scores_gemma":[0.99931496,0.000039220093,0.00017681594,0.00028380554,0.0001271054,0.000058090234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061572064,0.00019519441,0.00026230444,0.00068556773,0.00009216616,0.00007739182,0.00028512877,0.00014114263,0.000012508957],"category_scores_gemma":[0.00002773626,0.00016846647,0.000031541207,0.00026459913,0.000014966411,0.00027271832,0.00009735695,0.00046593312,0.000009601591],"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":[0.000019129579,0.000039826675,0.00010820032,0.00007527569,0.000108384,0.000007376899,0.00005159671,0.98343986,0.0025909364,0.000450213,0.0001408894,0.0129682915],"study_design_scores_gemma":[0.0006369375,0.00022578271,0.001050891,0.000098438206,0.00008030771,0.000055149805,0.000053665466,0.9756247,0.021043496,0.00020266439,0.0007259629,0.00020203074],"about_ca_topic_score_codex":0.0000011785706,"about_ca_topic_score_gemma":0.0000026087655,"teacher_disagreement_score":0.21816038,"about_ca_system_score_codex":0.000102053884,"about_ca_system_score_gemma":0.000015104753,"threshold_uncertainty_score":0.6869863},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8902928,0.00002618215,0.10730634,0.0012800954,0.00006179102,0.00024674158,2.6488684e-7,0.00006763961,0.0007181457],"genre_scores_gemma":[0.9791201,0.00003409166,0.020124782,0.00004216927,0.000027634398,0.000018656932,1.7636677e-7,0.000012941767,0.0006194704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989509,0.000021323498,0.00038944883,0.00019414448,0.0002100042,0.00023417691],"domain_scores_gemma":[0.9993761,0.000075540374,0.00024367718,0.00022530327,0.000022207783,0.00005714756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017352145,0.00012495168,0.00018389434,0.0003647632,0.00020218668,0.00006742962,0.00023492228,0.00010936614,0.00009656898],"category_scores_gemma":[0.000058745034,0.00010043622,0.00005665417,0.00012125346,0.00011529158,0.0001500451,0.00025127668,0.0003034647,0.00003538661],"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":[0.00014445587,0.0013478084,0.0016183937,0.0015349924,0.00038856937,0.00056638947,0.0012876927,0.26240474,0.014917084,0.60883546,0.0035844164,0.10337002],"study_design_scores_gemma":[0.0005191878,0.00012476947,0.0011392152,0.00042924704,0.000082812316,0.0001791928,0.0001318377,0.009556237,0.026291057,0.96055233,0.00077855156,0.00021553347],"about_ca_topic_score_codex":8.183489e-7,"about_ca_topic_score_gemma":1.381999e-7,"teacher_disagreement_score":0.3517169,"about_ca_system_score_codex":0.0000664937,"about_ca_system_score_gemma":0.0000024942194,"threshold_uncertainty_score":0.40956703},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06512575,0.000112209644,0.9333314,0.00013259935,0.00048724576,0.00019557659,0.0000014666083,0.00035002845,0.0002637254],"genre_scores_gemma":[0.75249594,0.00014388308,0.24723731,0.000011284226,0.00004294638,0.000013461632,0.0000015640106,0.000023562854,0.000030040099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992156,0.0000022279148,0.00036787547,0.0001050399,0.0001298426,0.00017939384],"domain_scores_gemma":[0.9996525,0.000014825174,0.00014621024,0.000111956244,0.00004986827,0.0000246356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018121985,0.00012583184,0.00018280365,0.0005017714,0.00007494027,0.000021356156,0.00019182827,0.00009227922,0.000005268407],"category_scores_gemma":[0.000013382043,0.00011338217,0.00006323288,0.00013437448,0.000012047721,0.00015899458,0.00003904695,0.00017327449,0.000003856615],"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":[0.00004900943,0.000018888715,0.000017955776,0.00029949317,0.00008885365,0.00002222065,0.000014146892,0.8921269,0.00008725976,0.00241351,0.00011383239,0.10474792],"study_design_scores_gemma":[0.015071298,0.0021832578,0.0012881318,0.0018279537,0.00075488514,0.002010435,0.00086823985,0.06838785,0.729559,0.08775116,0.08888901,0.0014088019],"about_ca_topic_score_codex":3.443236e-7,"about_ca_topic_score_gemma":0.0000020623424,"teacher_disagreement_score":0.82373905,"about_ca_system_score_codex":0.0002600978,"about_ca_system_score_gemma":0.0000075718963,"threshold_uncertainty_score":0.46235907},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928453,0.000016226906,0.001790017,0.0018079279,0.00017086924,0.00039184652,3.603563e-7,0.000056361972,0.0029211096],"genre_scores_gemma":[0.9968281,0.00003797071,0.0013718733,0.0015317223,0.000065881955,0.000017919774,9.097967e-7,0.000012680124,0.00013293736],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99804676,0.0000146636,0.00095394795,0.00015508437,0.00048653688,0.00034303675],"domain_scores_gemma":[0.9985688,0.000022540715,0.00095636066,0.0003207315,0.00011561574,0.000015982188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014776331,0.000200729,0.00030659648,0.0015065647,0.00013522553,0.00008256167,0.0010779004,0.000083548606,0.00010145992],"category_scores_gemma":[0.000087566696,0.00015407425,0.00009653044,0.00048180146,0.00010425916,0.0013676195,0.0008812213,0.00045745762,0.00007169827],"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":[0.0015447972,0.0012240034,0.23429067,0.003346218,0.0010340123,0.00043590085,0.009885692,0.1179249,0.0010054467,0.18032311,0.00375804,0.4452272],"study_design_scores_gemma":[0.0045316876,0.0006199279,0.64515907,0.0012289246,0.0004385935,0.000035740544,0.03874258,0.0005095031,0.025703162,0.088001505,0.19393684,0.0010924832],"about_ca_topic_score_codex":0.000248059,"about_ca_topic_score_gemma":0.000043683274,"teacher_disagreement_score":0.4441347,"about_ca_system_score_codex":0.00006640274,"about_ca_system_score_gemma":0.000007532794,"threshold_uncertainty_score":0.62829655},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81167877,0.000290307,0.1799049,0.000045127457,0.0013026751,0.0004916279,0.0000033931508,0.0008102458,0.005472938],"genre_scores_gemma":[0.9860209,0.000039489256,0.013566523,0.0000030398023,0.00017294822,0.000024286399,0.0000046161044,0.000048562608,0.000119630444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980796,0.000036152043,0.00079680386,0.00026748728,0.0003798591,0.00044009596],"domain_scores_gemma":[0.9990344,0.000053855376,0.00034207877,0.00045138015,0.000054011194,0.000064249354],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028085863,0.0003716837,0.00054417294,0.0010249116,0.00015375033,0.00006425443,0.0005425076,0.000103937746,0.0000136916005],"category_scores_gemma":[0.0000052477862,0.00035161868,0.00011943153,0.00013153878,0.000072616,0.00020093974,0.00015814563,0.0005234787,0.000026451822],"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":[0.00012383309,0.00018922592,0.00003484726,0.00022239579,0.0004901804,0.0009273176,0.000063244486,0.99292815,0.000079483,0.0009789919,0.0007917586,0.00317057],"study_design_scores_gemma":[0.008172626,0.0010451901,0.0020169122,0.0003116052,0.00084299577,0.00023741262,0.006918411,0.009158633,0.9547915,0.0046526636,0.010674702,0.0011773746],"about_ca_topic_score_codex":0.0000073457536,"about_ca_topic_score_gemma":0.0000062775534,"teacher_disagreement_score":0.98376954,"about_ca_system_score_codex":0.00042276853,"about_ca_system_score_gemma":0.0000066314105,"threshold_uncertainty_score":0.9998936},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98619646,0.0000676006,0.0058591957,0.0061118044,0.0003273283,0.00056156074,0.0000016973629,0.00003900948,0.00083536404],"genre_scores_gemma":[0.9957155,0.00007047181,0.0035383152,0.00030364504,0.00009075725,0.000012651626,0.0000013170951,0.000023254015,0.00024408757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99792266,0.00007865732,0.0008975109,0.00020227565,0.0005903944,0.00030850613],"domain_scores_gemma":[0.99801713,0.00021903981,0.0010926314,0.0005077013,0.00014675531,0.000016736454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033660855,0.00022227854,0.00047683145,0.0019116172,0.00005426178,0.000042842996,0.0010419963,0.00011457406,0.00008199655],"category_scores_gemma":[0.00037180778,0.00015176964,0.00010819323,0.0005432961,0.00017823289,0.00027433765,0.00045752645,0.00032639186,0.000056499262],"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":[0.013416719,0.002816409,0.02129927,0.0013084956,0.0013553769,0.0020613417,0.0006468259,0.7239575,0.0015858787,0.08673741,0.07414773,0.07066709],"study_design_scores_gemma":[0.021982063,0.0042227795,0.32022378,0.007007392,0.002092885,0.0001583121,0.018500123,0.15813594,0.09779376,0.2749405,0.09167374,0.0032687697],"about_ca_topic_score_codex":0.000017349395,"about_ca_topic_score_gemma":0.000001643322,"teacher_disagreement_score":0.5658215,"about_ca_system_score_codex":0.00010248517,"about_ca_system_score_gemma":0.000028669969,"threshold_uncertainty_score":0.6188986},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3532772,0.0006041585,0.58236444,0.0059242253,0.0021489733,0.0016237489,0.000003349912,0.004580753,0.049473163],"genre_scores_gemma":[0.950861,0.0013977735,0.046823334,0.00011282026,0.000095518495,0.00016525802,0.000002345877,0.00009388616,0.00044809867],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971102,0.000026378211,0.0011797829,0.0004883969,0.00036354925,0.00083170366],"domain_scores_gemma":[0.99834913,0.000032394466,0.00034749808,0.0011357133,0.0000460871,0.00008917411],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007846769,0.00053368765,0.00071313116,0.0039845165,0.0001682913,0.00007339125,0.001779674,0.00055341114,0.0000989462],"category_scores_gemma":[0.000020397003,0.0005365377,0.00021639073,0.00046781483,0.00019012105,0.00029277036,0.0009338976,0.0010130245,0.00024723206],"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":[0.00006540496,0.00020598732,0.0002086713,0.00049748167,0.0014711766,0.0005990045,0.000019398445,0.19099797,0.0004428032,0.29403734,0.008166363,0.5032884],"study_design_scores_gemma":[0.0061752065,0.0011111117,0.000764816,0.0011389629,0.001438318,0.0010923994,0.0017053739,0.06939309,0.05269923,0.3345499,0.5273195,0.0026121081],"about_ca_topic_score_codex":0.0000015204191,"about_ca_topic_score_gemma":0.000005193848,"teacher_disagreement_score":0.5975838,"about_ca_system_score_codex":0.00062760914,"about_ca_system_score_gemma":0.000011510578,"threshold_uncertainty_score":0.9997086},"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&amp;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":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895382,0.00013436846,0.00013341861,0.0022946773,0.0003767397,0.00023926502,0.000006091348,0.0000041879225,0.0072730393],"genre_scores_gemma":[0.9994923,0.000060902723,0.00014311617,0.00006915886,0.00003965745,0.000005359742,5.4942643e-7,0.0000077323375,0.00018124034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983288,0.000013164287,0.0010565278,0.00011629813,0.00020215455,0.0002830649],"domain_scores_gemma":[0.99832803,0.00007312904,0.0012987197,0.00025416774,0.000023968169,0.000021956339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019321829,0.00010603901,0.00025147657,0.00033341124,0.000095979485,0.000025711617,0.00052489125,0.00008905454,0.000015632553],"category_scores_gemma":[0.00006767172,0.000073763294,0.000056195597,0.00024241165,0.000057920006,0.000063703126,0.0001553809,0.00042684315,0.0000017782893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031391485,0.00037814624,0.33630678,0.000041361818,0.0005739263,0.00003358994,0.00024310338,0.0006480991,0.00003436162,0.4978865,0.0011633991,0.1623768],"study_design_scores_gemma":[0.0046190573,0.00065492635,0.3252239,0.00040300906,0.00004262807,0.00003124596,0.014174314,0.000068461966,0.11147193,0.15206066,0.39070424,0.00054564676],"about_ca_topic_score_codex":0.019678768,"about_ca_topic_score_gemma":0.041162554,"teacher_disagreement_score":0.38954082,"about_ca_system_score_codex":0.00080920046,"about_ca_system_score_gemma":0.000037876045,"threshold_uncertainty_score":0.98684925},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7247132,0.000663592,0.26645702,0.0010777361,0.0006098398,0.00064440013,0.0000043117043,0.000071481925,0.0057583796],"genre_scores_gemma":[0.98861843,0.0000056075096,0.010056393,0.000027522405,0.00014785603,0.000015497508,1.4417388e-7,0.00001812016,0.0011104015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99523133,0.00010695428,0.0020661473,0.00052270474,0.0017380895,0.0003347962],"domain_scores_gemma":[0.9961649,0.00034032643,0.0016755015,0.0011561017,0.00057427934,0.000088852095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028823533,0.0002361608,0.0007248884,0.0027184875,0.000118935175,0.00015973409,0.0016081561,0.00014744136,0.000029215671],"category_scores_gemma":[0.00024382671,0.00017979479,0.00023280462,0.0006472017,0.00010140231,0.00017477563,0.00067015376,0.00028866075,0.000068785346],"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":[0.00045116118,0.0007603132,0.004872035,0.00020500261,0.0004894587,0.00035132395,0.00056722417,0.35027662,0.0018574174,0.41227704,0.018951938,0.20894045],"study_design_scores_gemma":[0.001472634,0.0005468017,0.05678481,0.00034450466,0.00013826734,0.00036823575,0.011461888,0.0028976575,0.06686976,0.7108451,0.14768897,0.0005813754],"about_ca_topic_score_codex":0.00014350419,"about_ca_topic_score_gemma":0.000029226829,"teacher_disagreement_score":0.34737897,"about_ca_system_score_codex":0.00032269294,"about_ca_system_score_gemma":0.000021571032,"threshold_uncertainty_score":0.7331819},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9415796,0.0000663002,0.0030753892,0.026020095,0.0014107847,0.00054779067,7.6927813e-7,0.00027139025,0.027027927],"genre_scores_gemma":[0.99332243,0.000011700395,0.0028673024,0.0018683537,0.0013722208,0.000015779911,0.0000039410274,0.000027985667,0.00051029876],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980159,0.000016986754,0.0006226139,0.00031903767,0.00049731985,0.0005281669],"domain_scores_gemma":[0.99884254,0.000029828549,0.0006223232,0.00040638106,0.00008021233,0.000018724792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007886314,0.00030201938,0.00032141502,0.00054387795,0.0004145884,0.00025176155,0.0009014156,0.0001042305,0.00009802962],"category_scores_gemma":[0.000022395678,0.00021606138,0.00012713425,0.00050739525,0.00007018698,0.00036935284,0.0005296868,0.00031413758,0.00019079224],"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":[0.0008576192,0.00070317305,0.0561508,0.00046231603,0.0009804002,0.0006060315,0.00006981831,0.15430191,0.00014488284,0.40695712,0.25392127,0.124844655],"study_design_scores_gemma":[0.002091629,0.0001087117,0.21875675,0.0006454457,0.0003639498,0.000053760938,0.0010233539,0.00031559353,0.020186309,0.0994742,0.6559329,0.0010474096],"about_ca_topic_score_codex":0.000019842772,"about_ca_topic_score_gemma":0.000038726525,"teacher_disagreement_score":0.40201163,"about_ca_system_score_codex":0.00019704408,"about_ca_system_score_gemma":0.000010170041,"threshold_uncertainty_score":0.88107276},"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":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23583524,0.0008548693,0.761919,0.00007680401,0.00052314013,0.00015043665,0.0000025147117,0.00023840491,0.00039956305],"genre_scores_gemma":[0.71016616,0.0011547902,0.28851834,0.000035070887,0.00006745957,0.0000035001779,0.000003019288,0.000032432632,0.000019205529],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988366,0.000010047746,0.00052114046,0.00013324361,0.00021485366,0.00028414748],"domain_scores_gemma":[0.9993932,0.000011692858,0.00023550123,0.0002474339,0.000057849596,0.00005427621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078867124,0.00021865488,0.00025768377,0.0006838533,0.000098698554,0.000030046145,0.0002904044,0.00012637564,0.0000064416954],"category_scores_gemma":[0.0000039007637,0.0002123757,0.00007345322,0.00013717334,0.00005247864,0.00021055281,0.00009484676,0.00034747247,0.000009906893],"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":[0.000008185184,0.000030201718,0.0000034035395,0.00015489256,0.00006685677,0.00012377805,0.000029696796,0.9847835,0.00052432466,0.00010042859,0.000073820986,0.014100923],"study_design_scores_gemma":[0.005520605,0.00045607187,0.0018193816,0.0005042143,0.00045450576,0.0008034472,0.0010700137,0.08518915,0.829856,0.03807782,0.03507033,0.0011785117],"about_ca_topic_score_codex":0.000002439617,"about_ca_topic_score_gemma":4.6957854e-7,"teacher_disagreement_score":0.89959437,"about_ca_system_score_codex":0.00029556834,"about_ca_system_score_gemma":0.0000070853494,"threshold_uncertainty_score":0.866043},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98952645,0.00060821004,0.001157192,0.003952201,0.00052852504,0.000644871,7.595366e-7,0.00020972936,0.0033720378],"genre_scores_gemma":[0.9954051,0.0003648387,0.0025686026,0.00072067295,0.00039285806,0.000021434405,0.0000030756726,0.00006683074,0.0004566217],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996857,0.00001976137,0.001027571,0.00050767534,0.00057859306,0.0010094075],"domain_scores_gemma":[0.9984216,0.000109308174,0.00086645153,0.000485493,0.00007609871,0.000041051873],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020939258,0.0004914577,0.0006333622,0.0055697286,0.00022406504,0.0002531682,0.00087227585,0.00024559247,0.00008334739],"category_scores_gemma":[0.00006794257,0.00047486825,0.00013787187,0.0005261202,0.0002050579,0.0012068736,0.0012835289,0.0007010611,0.000017351063],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008976031,0.0006861313,0.061533123,0.0027613156,0.0009769789,0.006716234,0.00034536733,0.005349369,0.00062724407,0.049439795,0.0022385884,0.86842823],"study_design_scores_gemma":[0.008299373,0.00024061598,0.69263947,0.0011937263,0.0005242034,0.00019376996,0.033478856,0.00033287916,0.12044096,0.05610913,0.08462374,0.0019232769],"about_ca_topic_score_codex":0.00008672109,"about_ca_topic_score_gemma":0.00018274297,"teacher_disagreement_score":0.86650497,"about_ca_system_score_codex":0.00032976086,"about_ca_system_score_gemma":0.000013221591,"threshold_uncertainty_score":0.9997703},"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":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37479547,0.00031307092,0.015831757,0.008583184,0.0026659041,0.00276398,0.00000660304,0.00068097183,0.59435904],"genre_scores_gemma":[0.96590674,0.000059913196,0.027131049,0.00071307557,0.0016615376,0.00014111173,0.000025524696,0.000087175795,0.0042738453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99594474,0.000019814535,0.0016502658,0.0006576317,0.00073476456,0.0009928107],"domain_scores_gemma":[0.9954109,0.000045103618,0.0034173478,0.0007304282,0.0003709254,0.000025263971],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024257395,0.00053839263,0.0006139684,0.0029858674,0.00057856675,0.0005137623,0.0012959273,0.0001872854,0.0001426285],"category_scores_gemma":[0.00006017411,0.0005011479,0.00034483627,0.0006270995,0.00012523754,0.0012022809,0.0013085902,0.00044209452,0.00013464507],"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":[0.0003220982,0.0010097135,0.0010613,0.0031457313,0.0010087021,0.0003219017,0.000020776246,0.00032801073,0.00013091229,0.70939755,0.014862628,0.2683907],"study_design_scores_gemma":[0.0030749722,0.0000931353,0.0025508709,0.00025214633,0.0007714992,0.000028327637,0.0026539394,0.00019560056,0.019462926,0.1315539,0.8386858,0.0006768514],"about_ca_topic_score_codex":0.000060123177,"about_ca_topic_score_gemma":0.00006548116,"teacher_disagreement_score":0.8238232,"about_ca_system_score_codex":0.00029784007,"about_ca_system_score_gemma":0.000016501526,"threshold_uncertainty_score":0.999744},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40201288,0.0008773589,0.5936042,0.00054491614,0.0006535235,0.00019145428,0.0000024228932,0.0006732694,0.0014399644],"genre_scores_gemma":[0.88485163,0.00045640685,0.114193134,0.000043583477,0.00010942066,0.000009672458,0.000004251549,0.00007086661,0.00026101453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981761,0.000017588325,0.00070000737,0.00025840502,0.00031084026,0.00053704943],"domain_scores_gemma":[0.9991094,0.000039626688,0.00026852687,0.00044004785,0.000035977908,0.000106458676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023348992,0.00037123254,0.000406651,0.0011192936,0.00016364359,0.00006072868,0.0005806278,0.00023810453,0.00004415484],"category_scores_gemma":[0.000011700578,0.0003622337,0.00013673473,0.00012157644,0.000090675654,0.00031352817,0.0001683213,0.0007400051,0.00003476467],"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":[0.000017587374,0.000041709754,0.000011675982,0.000089792884,0.00024932425,0.0001450817,0.00006174855,0.9523077,0.00047868805,0.00030579162,0.0002531607,0.04603774],"study_design_scores_gemma":[0.0025403693,0.00024084614,0.0018894821,0.00039074224,0.00034332453,0.00029954975,0.001305446,0.048532277,0.871992,0.010608677,0.06067117,0.0011861391],"about_ca_topic_score_codex":6.074094e-7,"about_ca_topic_score_gemma":0.000002003134,"teacher_disagreement_score":0.9037754,"about_ca_system_score_codex":0.00040285673,"about_ca_system_score_gemma":0.000008006233,"threshold_uncertainty_score":0.99988294},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925863,0.00035131956,0.001589347,0.001864432,0.00011250499,0.00010446371,8.5870477e-7,0.000044017987,0.003346738],"genre_scores_gemma":[0.99854195,0.0010013025,0.00038728878,0.000007772083,0.000010120999,0.0000045350366,4.5970245e-7,0.000011303298,0.00003529092],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993734,0.000009196028,0.00027432048,0.00006833825,0.00015022545,0.00012454906],"domain_scores_gemma":[0.9994982,0.000021884382,0.0002578725,0.00017944726,0.00002719467,0.000015394226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003449298,0.00010334466,0.00016438059,0.00034775527,0.000043815664,0.000057584173,0.0003893681,0.00010338842,0.0000029456592],"category_scores_gemma":[0.000019447254,0.00007245105,0.000019396357,0.000033381537,0.00009607894,0.0004553494,0.000083545194,0.0003428705,3.741859e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057469228,0.00008416557,0.0026674785,0.00027949194,0.0006408375,0.00012571673,0.0022338133,0.018110076,0.00014034368,0.010615509,0.00016424639,0.9648808],"study_design_scores_gemma":[0.004409732,0.0008814978,0.8454279,0.005701761,0.00024069395,0.00022749463,0.017938305,0.007568846,0.112389386,0.0035179907,0.0010690907,0.00062730873],"about_ca_topic_score_codex":0.0000020948937,"about_ca_topic_score_gemma":0.00001647271,"teacher_disagreement_score":0.96425354,"about_ca_system_score_codex":0.000049584403,"about_ca_system_score_gemma":0.000002531513,"threshold_uncertainty_score":0.2954468},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5093346,0.00063572364,0.4540258,0.008462776,0.0010859233,0.0074323365,0.0000043716705,0.00044170194,0.018576762],"genre_scores_gemma":[0.892035,0.000024686526,0.10469398,0.00066296547,0.00092105067,0.00034376406,0.000007853759,0.000080078564,0.0012306204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968883,0.000025970257,0.0011332931,0.00047288873,0.000585371,0.00089420425],"domain_scores_gemma":[0.9940861,0.00019195995,0.0037980168,0.0005755963,0.0013044496,0.000043881602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004531218,0.00036337433,0.00064646325,0.0025798925,0.00050514523,0.0002492486,0.0012739117,0.00019041628,0.00009514712],"category_scores_gemma":[0.0028425723,0.0003339447,0.0002803413,0.0006321529,0.00029038204,0.0013906613,0.00085137197,0.0002476893,0.000005947051],"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":[0.006608557,0.0014011571,0.005956543,0.046704136,0.006953565,0.00028166422,0.0005774062,0.019123057,0.00051636953,0.6683512,0.1043152,0.13921115],"study_design_scores_gemma":[0.010514093,0.001328106,0.00083811604,0.00035663586,0.00249216,0.000029067787,0.09375125,0.02812806,0.0130787995,0.17726758,0.6709897,0.0012264488],"about_ca_topic_score_codex":0.00003638872,"about_ca_topic_score_gemma":0.0000037945376,"teacher_disagreement_score":0.5666745,"about_ca_system_score_codex":0.00023135588,"about_ca_system_score_gemma":0.00009960422,"threshold_uncertainty_score":0.99991125},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99631006,0.000055327593,0.000012374113,0.00042016088,0.00036138273,0.0006219713,0.000005239547,0.00002609304,0.0021874162],"genre_scores_gemma":[0.99929696,0.00029268413,0.000042594616,0.00005648456,0.00006322791,0.000025703335,0.0000015728124,0.000018670185,0.00020207699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980869,0.00002758319,0.00092740695,0.00023299018,0.00046334593,0.00026175115],"domain_scores_gemma":[0.9985661,0.000030805062,0.001047702,0.00031859556,0.000029163184,0.00000761887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015242362,0.00022169965,0.00048088757,0.001281186,0.00008146523,0.0000556843,0.00061022583,0.000068473615,0.000040862233],"category_scores_gemma":[0.0000048867996,0.0001689402,0.00008205542,0.00016194902,0.00015135716,0.0007488878,0.00046832656,0.00028276743,0.00003642502],"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":[0.0038008096,0.0016483829,0.1273795,0.03306099,0.0043662563,0.0003304874,0.0015098565,0.29351312,0.0015181748,0.2717369,0.002020087,0.25911546],"study_design_scores_gemma":[0.006617213,0.00061793334,0.82327455,0.003346559,0.0004921896,0.000026147542,0.022143975,0.0017111845,0.0042054355,0.0016277627,0.13499966,0.00093737437],"about_ca_topic_score_codex":0.00004867791,"about_ca_topic_score_gemma":0.000005276975,"teacher_disagreement_score":0.6958951,"about_ca_system_score_codex":0.00021201275,"about_ca_system_score_gemma":0.0000067176557,"threshold_uncertainty_score":0.6889181},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95643663,0.0006098972,0.028862262,0.01296965,0.00023069012,0.00019335354,2.9912664e-7,0.00003458155,0.00066265743],"genre_scores_gemma":[0.9465371,0.0002902365,0.05257706,0.00010012367,0.000014970665,0.0000012255678,4.652965e-8,0.0000046234763,0.00047464622],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99932957,0.000016201797,0.00031725768,0.00012589442,0.00009901032,0.000112054215],"domain_scores_gemma":[0.99918425,0.000069916176,0.00034741027,0.00033987654,0.000037060352,0.000021505974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920078,0.000084598774,0.00022090835,0.000348391,0.000054155753,0.00007429978,0.0006711034,0.000048012953,0.000007820806],"category_scores_gemma":[0.000014326433,0.00005738939,0.00002965371,0.00013179793,0.00019519633,0.00028605398,0.0007332897,0.00016179224,0.000004207579],"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":[0.00013842683,0.00008171158,0.033066556,0.000305644,0.0007577274,0.00003022475,0.0021170573,0.00031648166,0.00062312366,0.3905255,0.00519687,0.5668407],"study_design_scores_gemma":[0.009223926,0.0006322826,0.13374326,0.00052983646,0.00017984875,0.0005842047,0.0025556637,0.00024812797,0.34897056,0.34126478,0.16144855,0.0006189575],"about_ca_topic_score_codex":0.000007479925,"about_ca_topic_score_gemma":0.0000027528451,"teacher_disagreement_score":0.5662217,"about_ca_system_score_codex":0.00002001357,"about_ca_system_score_gemma":0.000015891543,"threshold_uncertainty_score":0.23402713},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830643,0.0004678428,0.0035265451,0.011249351,0.00035171807,0.00026561334,0.0000024465648,0.00020620029,0.0008659782],"genre_scores_gemma":[0.9975451,0.00025576452,0.0010314386,0.00081369677,0.00024372259,0.0000068824725,0.000003446528,0.000033691318,0.00006622905],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99835706,0.000004500951,0.00059626676,0.0003390241,0.00036340236,0.00033974377],"domain_scores_gemma":[0.9989779,0.00003129064,0.00060007145,0.00026377526,0.00009164468,0.00003530796],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002045342,0.0003244628,0.00045918694,0.0007594167,0.00021821176,0.0001365567,0.00053434836,0.0001227657,0.00005659999],"category_scores_gemma":[0.000044056695,0.00026672438,0.00010797441,0.00021366868,0.00021482911,0.00054977747,0.00076444296,0.00051381637,0.000055300556],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035822336,0.00027162905,0.04881796,0.00084989605,0.00074710243,0.000708694,0.00014314242,0.00020791846,0.00014355699,0.0056683305,0.0027688444,0.9393147],"study_design_scores_gemma":[0.005426299,0.00044471916,0.3195315,0.0005989967,0.0013664698,0.00015436888,0.0071655633,0.00032898542,0.04239739,0.010922297,0.61006755,0.0015958822],"about_ca_topic_score_codex":0.0000076143233,"about_ca_topic_score_gemma":0.000008975566,"teacher_disagreement_score":0.9377188,"about_ca_system_score_codex":0.00007044939,"about_ca_system_score_gemma":0.000006755764,"threshold_uncertainty_score":0.9999785},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1650442,0.000092633134,0.7854453,0.00091139675,0.0003283193,0.0005665427,0.000055503842,0.00033232392,0.047223803],"genre_scores_gemma":[0.95873255,0.00008013794,0.040577494,0.000057873207,0.00004646011,0.0000670941,0.000016376951,0.000041254312,0.00038077496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985236,0.0000061920355,0.0006764119,0.00016642496,0.00028703542,0.0003403152],"domain_scores_gemma":[0.9993951,0.000026333473,0.00011894975,0.00024097641,0.0001235456,0.000095116055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643713,0.00024067807,0.0003184439,0.0007036644,0.00008200035,0.00018559475,0.0003756485,0.0001875827,0.00000574916],"category_scores_gemma":[0.000012781459,0.00024096212,0.00012887553,0.00024498109,0.00003368681,0.0009821684,0.00005821009,0.00033250434,0.000010665795],"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":[0.000040035648,0.000097931705,0.0000048265606,0.0005448445,0.0004237039,0.000021661941,0.0006565652,0.9070809,0.00009342755,0.005812238,0.002664953,0.08255892],"study_design_scores_gemma":[0.0025436643,0.0001612441,0.0001635393,0.0003365666,0.00018434682,0.00025037394,0.0086893225,0.059307173,0.83273995,0.021060865,0.07373427,0.00082871126],"about_ca_topic_score_codex":5.0703704e-8,"about_ca_topic_score_gemma":3.7922905e-7,"teacher_disagreement_score":0.84777373,"about_ca_system_score_codex":0.000208182,"about_ca_system_score_gemma":0.000025197241,"threshold_uncertainty_score":0.98261505},"labels":[],"label_agreement":null},{"id":"W3191912470","doi":"10.1108/jmtm-02-2021-0060","title":"Integrating manufacturing and R&amp;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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722747,0.0003579207,0.0151806725,0.009920452,0.00043431384,0.0003975242,0.0000011884225,0.00010755933,0.001325656],"genre_scores_gemma":[0.95799977,0.00014496561,0.038968954,0.0012344446,0.00039005355,0.000052527368,0.000013258791,0.000032602955,0.0011634243],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979792,0.000020449912,0.00085067144,0.0004363051,0.00031391677,0.00039941314],"domain_scores_gemma":[0.99884665,0.000058163972,0.0005700929,0.00034125033,0.0001577851,0.000026064183],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013648904,0.00028612543,0.0004237211,0.00080247805,0.0005087477,0.00028291126,0.00028170494,0.00009493017,0.000047180198],"category_scores_gemma":[0.000094946874,0.00025677148,0.00008448045,0.00017662208,0.0001220044,0.0007599205,0.00074152905,0.00036032163,0.000015098059],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016252231,0.00025195154,0.011134719,0.0042761173,0.0008150925,0.00007752954,0.00017405163,0.0001982988,0.0003684408,0.010934439,0.0036663048,0.9679405],"study_design_scores_gemma":[0.0018725075,0.00004531626,0.09614568,0.0004245394,0.00031913034,0.000091946844,0.0021882672,0.000097597964,0.035090398,0.011558802,0.8515273,0.00063850987],"about_ca_topic_score_codex":0.00000681317,"about_ca_topic_score_gemma":0.000039840623,"teacher_disagreement_score":0.967302,"about_ca_system_score_codex":0.0000765772,"about_ca_system_score_gemma":0.000018069304,"threshold_uncertainty_score":0.99998844},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916744,0.00038975716,0.0003481107,0.003722766,0.00050985446,0.00034485635,0.000004032984,0.00005514056,0.0029510313],"genre_scores_gemma":[0.9968845,0.00035056035,0.0010361355,0.0013428521,0.0002601163,0.00002530663,0.000008329635,0.000019808853,0.00007235805],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853104,0.000020327305,0.00054723775,0.00020696607,0.00046614543,0.0002282822],"domain_scores_gemma":[0.99849135,0.000018831233,0.0010281049,0.0003521866,0.00010272593,0.0000068044055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010231395,0.00017942263,0.00022795661,0.001153059,0.0004970053,0.000058228263,0.00067929697,0.000058128837,0.00010103341],"category_scores_gemma":[0.000015925229,0.00014216668,0.00006392016,0.00062197715,0.000063430394,0.0004380567,0.0009966182,0.00044975814,0.00000661246],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036385446,0.00025956475,0.017534576,0.00087817543,0.00042495283,0.000053823245,0.00030268755,0.008403487,0.000091087786,0.0955771,0.00278498,0.8733257],"study_design_scores_gemma":[0.0018454528,0.00013905534,0.22713895,0.00011864688,0.00065529265,0.00007883181,0.007360819,0.00062754005,0.015505125,0.21261117,0.5334763,0.0004428484],"about_ca_topic_score_codex":0.000028411068,"about_ca_topic_score_gemma":0.00000533744,"teacher_disagreement_score":0.87288284,"about_ca_system_score_codex":0.000056390367,"about_ca_system_score_gemma":0.0000074121685,"threshold_uncertainty_score":0.5797389},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923423,0.000053714888,0.00011402875,0.0018289256,0.00013234817,0.0001903884,0.0000023770601,0.00009382222,0.0052421098],"genre_scores_gemma":[0.9996552,0.000022511025,0.00017476163,0.000014000372,0.000027246242,0.000024721436,6.534585e-7,0.000014024434,0.00006687986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990458,0.000060220176,0.00038209645,0.000075314005,0.00029493985,0.00014163084],"domain_scores_gemma":[0.9987478,0.00065189233,0.0003669479,0.00019845499,0.000010154762,0.000024716275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011037384,0.00011552311,0.00017704487,0.0004042126,0.00014978393,0.00002091599,0.00039498636,0.00016788134,0.000026971411],"category_scores_gemma":[0.00008398101,0.00008688043,0.000046737136,0.00019429938,0.00009122611,0.00020435895,0.00015014934,0.0018520292,0.0000027110925],"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":[0.00026337572,0.000113942064,0.77701426,0.0014719304,0.00095118565,0.00007429876,0.0002524812,0.085783765,0.000049145536,0.008814278,0.007947053,0.11726431],"study_design_scores_gemma":[0.0029091174,0.003687633,0.8463344,0.0009166145,0.00064725225,0.00044423065,0.0051302607,0.00027254992,0.10389348,0.0065516834,0.02850555,0.000707252],"about_ca_topic_score_codex":2.1673203e-7,"about_ca_topic_score_gemma":4.4635954e-8,"teacher_disagreement_score":0.116557054,"about_ca_system_score_codex":0.0001154975,"about_ca_system_score_gemma":0.000005992192,"threshold_uncertainty_score":0.80462486},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98509425,0.00009811809,0.008392956,0.0008245127,0.00092782616,0.0003006734,0.000010874362,0.00297283,0.0013779777],"genre_scores_gemma":[0.97991455,0.0006061818,0.01857549,0.00003805079,0.0001377149,0.000033496297,0.000008385172,0.00008278995,0.0006033312],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99816084,0.00003106797,0.0006953253,0.00028562517,0.0002768734,0.0005502691],"domain_scores_gemma":[0.99884814,0.000054558765,0.00029787247,0.00069130264,0.00004525999,0.00006286311],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009420433,0.00030612494,0.00046153204,0.0015552526,0.00016861741,0.0001880787,0.0020925482,0.00019243475,0.0000884347],"category_scores_gemma":[0.00008093623,0.00027983086,0.000079430596,0.00045020203,0.00010781396,0.00030224226,0.002470376,0.0005224837,0.00017812938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009193649,0.0001685448,0.0003893729,0.0014716004,0.002144411,0.0026895674,0.00020872004,0.034563188,0.051557917,0.008275088,0.09784135,0.8005983],"study_design_scores_gemma":[0.0005147201,0.000051361472,0.001281701,0.00021748964,0.000051729956,0.00008820033,0.00041937034,0.00014000521,0.899496,0.0034859304,0.09395705,0.00029640237],"about_ca_topic_score_codex":0.0000025644724,"about_ca_topic_score_gemma":9.404927e-7,"teacher_disagreement_score":0.8479381,"about_ca_system_score_codex":0.00011167002,"about_ca_system_score_gemma":0.000009452136,"threshold_uncertainty_score":0.99996537},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97304356,0.000051060862,0.0043159295,0.0056166,0.0003461544,0.00057583227,0.000012456571,0.00030284098,0.015735552],"genre_scores_gemma":[0.9980179,0.00023937481,0.0013605217,0.00002619552,0.000023607137,0.000042834934,0.0000059078443,0.000027339636,0.0002562968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984786,0.000016540347,0.0006660794,0.00012600044,0.0003966005,0.00031621484],"domain_scores_gemma":[0.999522,0.000028704115,0.00012868436,0.00025152322,0.00002204875,0.000047076686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005143873,0.00019891355,0.00024285768,0.0015314942,0.00005394634,0.0000362628,0.000600454,0.00021173808,0.000027929847],"category_scores_gemma":[0.0000033136068,0.0001644286,0.00005535014,0.00076417736,0.00005644883,0.0002694019,0.00011844304,0.0005692747,0.000031431784],"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":[0.000052640386,0.000097038566,0.00046125532,0.002538745,0.0010753318,0.00014838765,0.0029070643,0.7675116,0.00008554769,0.017627867,0.0015058535,0.20598866],"study_design_scores_gemma":[0.004132261,0.0003606158,0.07698026,0.002646827,0.0003422005,0.00019138384,0.05838448,0.002965069,0.74885297,0.04363888,0.06012718,0.0013778707],"about_ca_topic_score_codex":9.4195036e-7,"about_ca_topic_score_gemma":0.0000039834886,"teacher_disagreement_score":0.7645465,"about_ca_system_score_codex":0.00014238361,"about_ca_system_score_gemma":0.0000055760465,"threshold_uncertainty_score":0.6705203},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932622,0.00027867942,0.000027233367,0.0037248766,0.0001844744,0.0006000941,7.806856e-7,0.000021111036,0.0019005638],"genre_scores_gemma":[0.9990775,0.0003780326,0.00014900611,0.00012456453,0.000074498006,0.000026910646,0.000001634943,0.000012598254,0.00015525575],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984252,0.000032392065,0.000701269,0.0001869942,0.0004302825,0.00022385294],"domain_scores_gemma":[0.99745095,0.00020410788,0.0019003706,0.00040982978,0.000029912342,0.0000048484085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016440189,0.00019937057,0.0002693748,0.00080311234,0.00029860632,0.000055455133,0.00068167126,0.00008292091,0.0000111576555],"category_scores_gemma":[0.000102579506,0.000119515506,0.000060716662,0.00042959253,0.000361129,0.00040635056,0.0009055169,0.00031651,0.0000031871211],"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":[0.00057563296,0.00020250113,0.12828109,0.0024342898,0.0007193339,0.000017496273,0.000059830283,0.0011439152,0.0006926698,0.013456786,0.00016977235,0.8522467],"study_design_scores_gemma":[0.0021812657,0.00041982756,0.87756413,0.00051255483,0.00073726627,0.000010649728,0.00410656,0.0005280321,0.053921174,0.014651935,0.045100637,0.00026594923],"about_ca_topic_score_codex":0.000013912086,"about_ca_topic_score_gemma":0.0000016742047,"teacher_disagreement_score":0.85198075,"about_ca_system_score_codex":0.000117659176,"about_ca_system_score_gemma":0.0000034767038,"threshold_uncertainty_score":0.48737007},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8980899,0.001339316,0.05792019,0.009198367,0.0034551164,0.0009959989,0.0000011623948,0.0006849435,0.028314995],"genre_scores_gemma":[0.9916387,0.000401278,0.0061819586,0.00049697206,0.00036496986,0.000049762824,0.000003125798,0.00003747967,0.000825758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99713314,0.000019141316,0.0011273974,0.00053492934,0.0005094922,0.0006759053],"domain_scores_gemma":[0.9980072,0.00003890246,0.0010402637,0.0007135472,0.00018351848,0.000016577453],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074078684,0.00045964887,0.0006426802,0.0049190335,0.00039978928,0.0004490005,0.0015238853,0.00034406496,0.00005296382],"category_scores_gemma":[0.000039130497,0.0003844291,0.00019928059,0.0012232955,0.00022000342,0.001173116,0.00093067245,0.00076425093,0.00007453294],"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":[0.0001261392,0.00034985293,0.0016323141,0.0013238086,0.00089306023,0.0007961069,0.000026921185,0.012614096,0.0008921818,0.8681724,0.009060548,0.10411258],"study_design_scores_gemma":[0.0028027205,0.00013411732,0.0025217843,0.0022987155,0.0008560114,0.00011036554,0.01082466,0.0021318325,0.101752,0.5303918,0.34512404,0.0010519142],"about_ca_topic_score_codex":0.000075158925,"about_ca_topic_score_gemma":0.00001413519,"teacher_disagreement_score":0.33778057,"about_ca_system_score_codex":0.00024374474,"about_ca_system_score_gemma":0.000024921477,"threshold_uncertainty_score":0.99986076},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98011625,0.00029091124,0.0010096744,0.0013422392,0.0006470553,0.00043569374,0.0000035725302,0.0000082127635,0.016146408],"genre_scores_gemma":[0.98492193,0.00010468181,0.010037423,0.000041062693,0.000023247443,0.000022371694,6.870334e-7,0.000004381034,0.00484421],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884105,0.0000039820893,0.0007891307,0.00017759865,0.000030204144,0.00015801689],"domain_scores_gemma":[0.9989879,0.000029592245,0.0007641904,0.00016987298,0.000039895764,0.000008526406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015090741,0.00008341247,0.0002904991,0.0009812814,0.00010705977,0.000037397902,0.00061501,0.000038501425,0.000035728044],"category_scores_gemma":[0.00009861314,0.00007173966,0.000032450786,0.00032243688,0.000058567228,0.00019668382,0.0004356614,0.00012899665,0.000012794463],"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":[0.00012871144,0.00026167702,0.17205162,0.0004394306,0.00145687,0.00000260547,0.0051605785,0.004031219,0.00011222244,0.450948,0.019502198,0.34590486],"study_design_scores_gemma":[0.0029741211,0.00011943923,0.28812695,0.00046287663,0.000048102596,0.0000033840483,0.010739523,0.00059846987,0.14109062,0.19595712,0.359503,0.00037639725],"about_ca_topic_score_codex":0.000015137198,"about_ca_topic_score_gemma":0.000009548632,"teacher_disagreement_score":0.34552845,"about_ca_system_score_codex":0.00016581183,"about_ca_system_score_gemma":0.000027150994,"threshold_uncertainty_score":0.29254586},"labels":[],"label_agreement":null}]}