{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":34,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":34,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"3adc27731fb7","filters":{"venue":"Journal of Manufacturing Technology Management"}},"results":[{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02417752710707636,"gpt":0.2044888026373202,"spread":0.1803112755302438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003449298,0.0001033447,0.0001643806,0.0003477553,0.00004381566,0.00005758417,0.0003893681,0.0001033884,0.000002945659],"category_scores_gemma":[0.00001944725,0.00007245105,0.00001939636,0.00003338154,0.00009607894,0.0004553494,0.00008354519,0.0003428705,3.741859e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000495844,"about_ca_system_score_gemma":0.000002531513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002094894,"about_ca_topic_score_gemma":0.00001647271,"domain_scores_codex":[0.9993734,0.000009196028,0.0002743205,0.00006833825,0.0001502254,0.0001245491],"domain_scores_gemma":[0.9994982,0.00002188438,0.0002578725,0.0001794473,0.00002719467,0.00001539423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005746923,0.00008416557,0.002667479,0.0002794919,0.0006408375,0.0001257167,0.002233813,0.01811008,0.0001403437,0.01061551,0.0001642464,0.9648808],"study_design_scores_gemma":[0.004409732,0.0008814978,0.8454279,0.005701761,0.0002406939,0.0002274946,0.0179383,0.007568846,0.1123894,0.003517991,0.001069091,0.0006273087],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925863,0.0003513196,0.001589347,0.001864432,0.000112505,0.0001044637,8.587048e-7,0.00004401799,0.003346738],"genre_scores_gemma":[0.998542,0.001001303,0.0003872888,0.000007772083,0.000010121,0.000004535037,4.597024e-7,0.0000113033,0.00003529092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9642535,"threshold_uncertainty_score":0.2954468,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01457305738510441,"gpt":0.2161064696030737,"spread":0.2015334122179693,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001477633,0.000200729,0.0003065965,0.001506565,0.0001352255,0.00008256167,0.0010779,0.00008354861,0.0001014599],"category_scores_gemma":[0.0000875667,0.0001540743,0.00009653044,0.0004818015,0.0001042592,0.001367619,0.0008812213,0.0004574576,0.00007169827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006640274,"about_ca_system_score_gemma":0.000007532794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000248059,"about_ca_topic_score_gemma":0.00004368327,"domain_scores_codex":[0.9980468,0.0000146636,0.000953948,0.0001550844,0.0004865369,0.0003430368],"domain_scores_gemma":[0.9985688,0.00002254071,0.0009563607,0.0003207315,0.0001156157,0.00001598219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001544797,0.001224003,0.2342907,0.003346218,0.001034012,0.0004359008,0.009885692,0.1179249,0.001005447,0.1803231,0.00375804,0.4452272],"study_design_scores_gemma":[0.004531688,0.0006199279,0.6451591,0.001228925,0.0004385935,0.00003574054,0.03874258,0.0005095031,0.02570316,0.0880015,0.1939368,0.001092483],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928453,0.00001622691,0.001790017,0.001807928,0.0001708692,0.0003918465,3.603563e-7,0.00005636197,0.00292111],"genre_scores_gemma":[0.9968281,0.00003797071,0.001371873,0.001531722,0.00006588196,0.00001791977,9.097967e-7,0.00001268012,0.0001329374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4441347,"threshold_uncertainty_score":0.6282966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.00954428337190498,"gpt":0.2283214484150835,"spread":0.2187771650431785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006537532,0.0003524853,0.0004220392,0.004457027,0.0002124711,0.0002229097,0.000766914,0.0001587618,0.00004656232],"category_scores_gemma":[0.00002442338,0.0003231426,0.00008556596,0.0006422319,0.000141389,0.001076161,0.001109219,0.00048466,0.00009159781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898848,"about_ca_system_score_gemma":0.00000558149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003483669,"about_ca_topic_score_gemma":0.00006228954,"domain_scores_codex":[0.9977797,0.0000100245,0.0009368805,0.0004078999,0.0003642791,0.0005012109],"domain_scores_gemma":[0.999027,0.00001499477,0.0004028814,0.0004503872,0.00009078142,0.0000140153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008316415,0.0003186761,0.001392369,0.0005544944,0.000268813,0.00033764,0.00004639569,0.002576722,0.00006718772,0.3463917,0.001199737,0.6467631],"study_design_scores_gemma":[0.008049973,0.000130069,0.02086081,0.001041654,0.0004107461,0.0001144266,0.01881631,0.001748652,0.0361746,0.07379253,0.8373221,0.001538164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669922,0.0008950135,0.001524994,0.01864959,0.0006920799,0.001069265,8.130965e-7,0.000741978,0.1094341],"genre_scores_gemma":[0.9783072,0.0005250236,0.0192228,0.0005746887,0.0001803154,0.00005525365,0.000002564592,0.00003647309,0.001095694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8361223,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.004596457634378293,"gpt":0.2202320933849745,"spread":0.2156356357505962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001812198,0.0001258318,0.0001828036,0.0005017714,0.00007494027,0.00002135616,0.0001918283,0.00009227922,0.000005268407],"category_scores_gemma":[0.00001338204,0.0001133822,0.00006323288,0.0001343745,0.00001204772,0.0001589946,0.00003904695,0.0001732745,0.000003856615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600978,"about_ca_system_score_gemma":0.000007571896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.443236e-7,"about_ca_topic_score_gemma":0.000002062342,"domain_scores_codex":[0.9992156,0.000002227915,0.0003678755,0.0001050399,0.0001298426,0.0001793938],"domain_scores_gemma":[0.9996525,0.00001482517,0.0001462102,0.0001119562,0.00004986827,0.0000246356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004900943,0.00001888872,0.00001795578,0.0002994932,0.00008885365,0.00002222065,0.00001414689,0.8921269,0.00008725976,0.00241351,0.0001138324,0.1047479],"study_design_scores_gemma":[0.0150713,0.002183258,0.001288132,0.001827954,0.0007548851,0.002010435,0.0008682398,0.06838785,0.729559,0.08775116,0.08888901,0.001408802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06512575,0.0001122096,0.9333314,0.0001325994,0.0004872458,0.0001955766,0.000001466608,0.0003500285,0.0002637254],"genre_scores_gemma":[0.7524959,0.0001438831,0.2472373,0.00001128423,0.00004294638,0.00001346163,0.000001564011,0.00002356285,0.0000300401],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8237391,"threshold_uncertainty_score":0.4623591,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.00728854536022386,"gpt":0.2227942179202082,"spread":0.2155056725599843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002334899,0.0003712325,0.000406651,0.001119294,0.0001636436,0.00006072868,0.0005806278,0.0002381045,0.00004415484],"category_scores_gemma":[0.00001170058,0.0003622337,0.0001367347,0.0001215764,0.00009067565,0.0003135282,0.0001683213,0.0007400051,0.00003476467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028567,"about_ca_system_score_gemma":0.000008006233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.074094e-7,"about_ca_topic_score_gemma":0.000002003134,"domain_scores_codex":[0.9981761,0.00001758833,0.0007000074,0.000258405,0.0003108403,0.0005370494],"domain_scores_gemma":[0.9991094,0.00003962669,0.0002685269,0.0004400479,0.00003597791,0.0001064587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001758737,0.00004170975,0.00001167598,0.00008979288,0.0002493243,0.0001450817,0.00006174855,0.9523077,0.000478688,0.0003057916,0.0002531607,0.04603774],"study_design_scores_gemma":[0.002540369,0.0002408461,0.001889482,0.0003907422,0.0003433245,0.0002995497,0.001305446,0.04853228,0.871992,0.01060868,0.06067117,0.001186139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4020129,0.0008773589,0.5936042,0.0005449161,0.0006535235,0.0001914543,0.000002422893,0.0006732694,0.001439964],"genre_scores_gemma":[0.8848516,0.0004564069,0.1141931,0.00004358348,0.0001094207,0.000009672458,0.000004251549,0.00007086661,0.0002610145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9037754,"threshold_uncertainty_score":0.9998829,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0305129732297692,"gpt":0.2995485200315686,"spread":0.2690355468017994,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004531218,0.0003633743,0.0006464632,0.002579893,0.0005051452,0.0002492486,0.001273912,0.0001904163,0.00009514712],"category_scores_gemma":[0.002842572,0.0003339447,0.0002803413,0.0006321529,0.000290382,0.001390661,0.000851372,0.0002476893,0.000005947051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002313559,"about_ca_system_score_gemma":0.00009960422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003638872,"about_ca_topic_score_gemma":0.000003794538,"domain_scores_codex":[0.9968883,0.00002597026,0.001133293,0.0004728887,0.000585371,0.0008942042],"domain_scores_gemma":[0.9940861,0.0001919599,0.003798017,0.0005755963,0.00130445,0.0000438816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006608557,0.001401157,0.005956543,0.04670414,0.006953565,0.0002816642,0.0005774062,0.01912306,0.0005163695,0.6683512,0.1043152,0.1392111],"study_design_scores_gemma":[0.01051409,0.001328106,0.000838116,0.0003566359,0.00249216,0.00002906779,0.09375125,0.02812806,0.0130788,0.1772676,0.6709897,0.001226449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5093346,0.0006357236,0.4540258,0.008462776,0.001085923,0.007432336,0.00000437167,0.0004417019,0.01857676],"genre_scores_gemma":[0.892035,0.00002468653,0.104694,0.0006629655,0.0009210507,0.0003437641,0.000007853759,0.00008007856,0.00123062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5666745,"threshold_uncertainty_score":0.9999112,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.007988049316961112,"gpt":0.2096820120671411,"spread":0.20169396275018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002093926,0.0004914577,0.0006333622,0.005569729,0.000224065,0.0002531682,0.0008722759,0.0002455925,0.00008334739],"category_scores_gemma":[0.00006794257,0.0004748683,0.0001378719,0.0005261202,0.0002050579,0.001206874,0.001283529,0.0007010611,0.00001735106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297609,"about_ca_system_score_gemma":0.00001322159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008672109,"about_ca_topic_score_gemma":0.000182743,"domain_scores_codex":[0.996857,0.00001976137,0.001027571,0.0005076753,0.0005785931,0.001009407],"domain_scores_gemma":[0.9984216,0.0001093082,0.0008664515,0.000485493,0.00007609871,0.00004105187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008976031,0.0006861313,0.06153312,0.002761316,0.0009769789,0.006716234,0.0003453673,0.005349369,0.0006272441,0.0494398,0.002238588,0.8684282],"study_design_scores_gemma":[0.008299373,0.000240616,0.6926395,0.001193726,0.0005242034,0.00019377,0.03347886,0.0003328792,0.120441,0.05610913,0.08462374,0.001923277],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895265,0.00060821,0.001157192,0.003952201,0.000528525,0.000644871,7.595366e-7,0.0002097294,0.003372038],"genre_scores_gemma":[0.9954051,0.0003648387,0.002568603,0.0007206729,0.0003928581,0.00002143441,0.000003075673,0.00006683074,0.0004566217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.866505,"threshold_uncertainty_score":0.9997703,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03317125452634126,"gpt":0.2909585621179476,"spread":0.2577873075916064,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00242574,0.0005383926,0.0006139684,0.002985867,0.0005785667,0.0005137623,0.001295927,0.0001872854,0.0001426285],"category_scores_gemma":[0.00006017411,0.0005011479,0.0003448363,0.0006270995,0.0001252375,0.001202281,0.00130859,0.0004420945,0.0001346451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978401,"about_ca_system_score_gemma":0.00001650153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006012318,"about_ca_topic_score_gemma":0.00006548116,"domain_scores_codex":[0.9959447,0.00001981454,0.001650266,0.0006576317,0.0007347646,0.0009928107],"domain_scores_gemma":[0.9954109,0.00004510362,0.003417348,0.0007304282,0.0003709254,0.00002526397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003220982,0.001009714,0.0010613,0.003145731,0.001008702,0.0003219017,0.00002077625,0.0003280107,0.0001309123,0.7093976,0.01486263,0.2683907],"study_design_scores_gemma":[0.003074972,0.0000931353,0.002550871,0.0002521463,0.0007714992,0.00002832764,0.002653939,0.0001956006,0.01946293,0.1315539,0.8386858,0.0006768514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3747955,0.0003130709,0.01583176,0.008583184,0.002665904,0.00276398,0.00000660304,0.0006809718,0.594359],"genre_scores_gemma":[0.9659067,0.0000599132,0.02713105,0.0007130756,0.001661538,0.0001411117,0.0000255247,0.00008717579,0.004273845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8238232,"threshold_uncertainty_score":0.999744,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02574194040738135,"gpt":0.2657288549164509,"spread":0.2399869145090696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001103738,0.0001155231,0.0001770449,0.0004042126,0.0001497839,0.00002091599,0.0003949864,0.0001678813,0.00002697141],"category_scores_gemma":[0.00008398101,0.00008688043,0.00004673714,0.0001942994,0.00009122611,0.0002043589,0.0001501493,0.001852029,0.000002711093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154975,"about_ca_system_score_gemma":0.000005992192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.16732e-7,"about_ca_topic_score_gemma":4.463595e-8,"domain_scores_codex":[0.9990458,0.00006022018,0.0003820964,0.000075314,0.0002949398,0.0001416308],"domain_scores_gemma":[0.9987478,0.0006518923,0.0003669479,0.000198455,0.00001015476,0.00002471628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002633757,0.0001139421,0.7770143,0.00147193,0.0009511856,0.00007429876,0.0002524812,0.08578376,0.00004914554,0.008814278,0.007947053,0.1172643],"study_design_scores_gemma":[0.002909117,0.003687633,0.8463344,0.0009166145,0.0006472523,0.0004442307,0.005130261,0.0002725499,0.1038935,0.006551683,0.02850555,0.000707252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923423,0.00005371489,0.0001140287,0.001828926,0.0001323482,0.0001903884,0.00000237706,0.00009382222,0.00524211],"genre_scores_gemma":[0.9996552,0.00002251103,0.0001747616,0.00001400037,0.00002724624,0.00002472144,6.534585e-7,0.00001402443,0.00006687986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1165571,"threshold_uncertainty_score":0.8046249,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science; Production (economics); Knowledge management; Process management; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.007781302372195695,"gpt":0.1929283584619448,"spread":0.1851470560897491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007886314,0.0003020194,0.000321415,0.0005438779,0.0004145884,0.0002517616,0.0009014156,0.0001042305,0.00009802962],"category_scores_gemma":[0.00002239568,0.0002160614,0.0001271342,0.0005073952,0.00007018698,0.0003693528,0.0005296868,0.0003141376,0.0001907922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001970441,"about_ca_system_score_gemma":0.00001017004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001984277,"about_ca_topic_score_gemma":0.00003872652,"domain_scores_codex":[0.9980159,0.00001698675,0.0006226139,0.0003190377,0.0004973199,0.0005281669],"domain_scores_gemma":[0.9988425,0.00002982855,0.0006223232,0.0004063811,0.00008021233,0.00001872479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008576192,0.000703173,0.0561508,0.000462316,0.0009804002,0.0006060315,0.00006981831,0.1543019,0.0001448828,0.4069571,0.2539213,0.1248447],"study_design_scores_gemma":[0.002091629,0.0001087117,0.2187568,0.0006454457,0.0003639498,0.00005376094,0.001023354,0.0003155935,0.02018631,0.0994742,0.6559329,0.00104741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415796,0.0000663002,0.003075389,0.02602009,0.001410785,0.0005477907,7.692781e-7,0.0002713903,0.02702793],"genre_scores_gemma":[0.9933224,0.00001170039,0.002867302,0.001868354,0.001372221,0.00001577991,0.000003941027,0.00002798567,0.0005102988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4020116,"threshold_uncertainty_score":0.8810728,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01526617475038743,"gpt":0.2060667620301872,"spread":0.1908005872797997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001524236,0.0002216997,0.0004808876,0.001281186,0.00008146523,0.0000556843,0.0006102258,0.00006847362,0.00004086223],"category_scores_gemma":[0.0000048868,0.0001689402,0.00008205542,0.000161949,0.0001513572,0.0007488878,0.0004683266,0.0002827674,0.00003642502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120127,"about_ca_system_score_gemma":0.000006717656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004867791,"about_ca_topic_score_gemma":0.000005276975,"domain_scores_codex":[0.9980869,0.00002758319,0.0009274069,0.0002329902,0.0004633459,0.0002617511],"domain_scores_gemma":[0.9985661,0.00003080506,0.001047702,0.0003185956,0.00002916318,0.00000761887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00380081,0.001648383,0.1273795,0.03306099,0.004366256,0.0003304874,0.001509857,0.2935131,0.001518175,0.2717369,0.002020087,0.2591155],"study_design_scores_gemma":[0.006617213,0.0006179333,0.8232746,0.003346559,0.0004921896,0.00002614754,0.02214397,0.001711185,0.004205436,0.001627763,0.1349997,0.0009373744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963101,0.00005532759,0.00001237411,0.0004201609,0.0003613827,0.0006219713,0.000005239547,0.00002609304,0.002187416],"genre_scores_gemma":[0.999297,0.0002926841,0.00004259462,0.00005648456,0.00006322791,0.00002570334,0.000001572812,0.00001867019,0.000202077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6958951,"threshold_uncertainty_score":0.6889181,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01285710014486559,"gpt":0.2224603657783809,"spread":0.2096032656335153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001643713,0.0002406781,0.0003184439,0.0007036644,0.00008200035,0.0001855947,0.0003756485,0.0001875827,0.00000574916],"category_scores_gemma":[0.00001278146,0.0002409621,0.0001288755,0.0002449811,0.00003368681,0.0009821684,0.00005821009,0.0003325043,0.0000106658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000208182,"about_ca_system_score_gemma":0.00002519724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.07037e-8,"about_ca_topic_score_gemma":3.79229e-7,"domain_scores_codex":[0.9985236,0.000006192035,0.0006764119,0.000166425,0.0002870354,0.0003403152],"domain_scores_gemma":[0.9993951,0.00002633347,0.0001189497,0.0002409764,0.0001235456,0.00009511605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004003565,0.0000979317,0.000004826561,0.0005448445,0.0004237039,0.00002166194,0.0006565652,0.9070809,0.00009342755,0.005812238,0.002664953,0.08255892],"study_design_scores_gemma":[0.002543664,0.0001612441,0.0001635393,0.0003365666,0.0001843468,0.0002503739,0.008689323,0.05930717,0.8327399,0.02106087,0.07373427,0.0008287113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1650442,0.00009263313,0.7854453,0.0009113968,0.0003283193,0.0005665427,0.00005550384,0.0003323239,0.0472238],"genre_scores_gemma":[0.9587325,0.00008013794,0.04057749,0.00005787321,0.00004646011,0.0000670941,0.00001637695,0.00004125431,0.000380775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8477737,"threshold_uncertainty_score":0.9826151,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.00802099015545313,"gpt":0.2384375148387684,"spread":0.2304165246833153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006157206,0.0001951944,0.0002623044,0.0006855677,0.00009216616,0.00007739182,0.0002851288,0.0001411426,0.00001250896],"category_scores_gemma":[0.00002773626,0.0001684665,0.00003154121,0.0002645991,0.00001496641,0.0002727183,0.00009735695,0.0004659331,0.000009601591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001020539,"about_ca_system_score_gemma":0.00001510475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001178571,"about_ca_topic_score_gemma":0.000002608765,"domain_scores_codex":[0.9987805,0.00001794449,0.0004559784,0.0001857164,0.0003107913,0.0002489999],"domain_scores_gemma":[0.999315,0.00003922009,0.0001768159,0.0002838055,0.0001271054,0.00005809023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001912958,0.00003982667,0.0001082003,0.00007527569,0.000108384,0.000007376899,0.00005159671,0.9834399,0.002590936,0.000450213,0.0001408894,0.01296829],"study_design_scores_gemma":[0.0006369375,0.0002257827,0.001050891,0.00009843821,0.00008030771,0.00005514981,0.00005366547,0.9756247,0.0210435,0.0002026644,0.0007259629,0.0002020307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.346362,0.000008467899,0.6516392,0.0001029603,0.0002631016,0.0002435209,3.546589e-7,0.0002212016,0.00115919],"genre_scores_gemma":[0.5645223,0.000002653841,0.4352458,0.00002807913,0.0001308971,0.000008164241,0.000002784378,0.00002562323,0.00003371293],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2181604,"threshold_uncertainty_score":0.6869863,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01282951588919766,"gpt":0.216475948245518,"spread":0.2036464323563204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007789363,0.0003289155,0.0005291585,0.001956963,0.0001159712,0.00006623693,0.0009707825,0.0001553364,0.0002200468],"category_scores_gemma":[0.00007396355,0.000288664,0.0002387957,0.000625212,0.0001824805,0.0005612024,0.0006919412,0.0003594696,0.0001742021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003631598,"about_ca_system_score_gemma":0.00003465592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001942529,"about_ca_topic_score_gemma":0.000009063941,"domain_scores_codex":[0.9975437,0.00001486259,0.0009197645,0.0003116923,0.0007496987,0.0004602967],"domain_scores_gemma":[0.9980211,0.00002814423,0.001162126,0.0005477617,0.0002173742,0.00002347851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006062131,0.003703604,0.004966563,0.003480597,0.005485094,0.003533362,0.0004609239,0.03506874,0.0008792221,0.5182354,0.1810325,0.2370918],"study_design_scores_gemma":[0.01246483,0.0008999567,0.02495864,0.002364194,0.001348312,0.0000870397,0.006932065,0.00005844682,0.06693633,0.2115608,0.6709395,0.001449856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9233262,0.00157667,0.004001464,0.01972438,0.002811501,0.001182049,0.000002416055,0.0003930483,0.0469823],"genre_scores_gemma":[0.992952,0.0001830461,0.004189337,0.0009693764,0.0004600977,0.00001902633,0.00000274611,0.00004173546,0.001182562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.489907,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.04642131319925396,"gpt":0.3459050714855368,"spread":0.2994837582862829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002882353,0.0002361608,0.0007248884,0.002718488,0.0001189352,0.0001597341,0.001608156,0.0001474414,0.00002921567],"category_scores_gemma":[0.0002438267,0.0001797948,0.0002328046,0.0006472017,0.0001014023,0.0001747756,0.0006701538,0.0002886608,0.00006878535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226929,"about_ca_system_score_gemma":0.00002157103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001435042,"about_ca_topic_score_gemma":0.00002922683,"domain_scores_codex":[0.9952313,0.0001069543,0.002066147,0.0005227047,0.001738089,0.0003347962],"domain_scores_gemma":[0.9961649,0.0003403264,0.001675501,0.001156102,0.0005742793,0.0000888521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004511612,0.0007603132,0.004872035,0.0002050026,0.0004894587,0.0003513239,0.0005672242,0.3502766,0.001857417,0.412277,0.01895194,0.2089404],"study_design_scores_gemma":[0.001472634,0.0005468017,0.05678481,0.0003445047,0.0001382673,0.0003682357,0.01146189,0.002897657,0.06686976,0.7108451,0.147689,0.0005813754],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7247132,0.000663592,0.266457,0.001077736,0.0006098398,0.0006444001,0.000004311704,0.00007148193,0.00575838],"genre_scores_gemma":[0.9886184,0.00000560751,0.01005639,0.0000275224,0.000147856,0.00001549751,1.441739e-7,0.00001812016,0.001110401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.347379,"threshold_uncertainty_score":0.7331819,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.004474630550123971,"gpt":0.2026476149945017,"spread":0.1981729844443777,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920078,0.00008459877,0.0002209083,0.000348391,0.00005415575,0.00007429978,0.0006711034,0.00004801295,0.000007820806],"category_scores_gemma":[0.00001432643,0.00005738939,0.00002965371,0.0001317979,0.0001951963,0.000286054,0.0007332897,0.0001617922,0.000004207579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002001357,"about_ca_system_score_gemma":0.00001589154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007479925,"about_ca_topic_score_gemma":0.000002752845,"domain_scores_codex":[0.9993296,0.0000162018,0.0003172577,0.0001258944,0.00009901032,0.0001120542],"domain_scores_gemma":[0.9991843,0.00006991618,0.0003474103,0.0003398765,0.00003706035,0.00002150597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001384268,0.00008171158,0.03306656,0.000305644,0.0007577274,0.00003022475,0.002117057,0.0003164817,0.0006231237,0.3905255,0.00519687,0.5668407],"study_design_scores_gemma":[0.009223926,0.0006322826,0.1337433,0.0005298365,0.0001798488,0.0005842047,0.002555664,0.000248128,0.3489706,0.3412648,0.1614486,0.0006189575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9564366,0.0006098972,0.02886226,0.01296965,0.0002306901,0.0001933535,2.991266e-7,0.00003458155,0.0006626574],"genre_scores_gemma":[0.9465371,0.0002902365,0.05257706,0.0001001237,0.00001497066,0.000001225568,4.652965e-8,0.000004623476,0.0004746462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5662217,"threshold_uncertainty_score":0.2340271,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.06671729317979538,"gpt":0.2202552954760784,"spread":0.153538002296283,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005143873,0.0001989135,0.0002428577,0.001531494,0.00005394634,0.0000362628,0.000600454,0.0002117381,0.00002792985],"category_scores_gemma":[0.000003313607,0.0001644286,0.00005535014,0.0007641774,0.00005644883,0.0002694019,0.000118443,0.0005692747,0.00003143178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423836,"about_ca_system_score_gemma":0.000005576047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.419504e-7,"about_ca_topic_score_gemma":0.000003983489,"domain_scores_codex":[0.9984786,0.00001654035,0.0006660794,0.0001260004,0.0003966005,0.0003162148],"domain_scores_gemma":[0.999522,0.00002870411,0.0001286844,0.0002515232,0.00002204875,0.00004707669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005264039,0.00009703857,0.0004612553,0.002538745,0.001075332,0.0001483877,0.002907064,0.7675116,0.00008554769,0.01762787,0.001505853,0.2059887],"study_design_scores_gemma":[0.004132261,0.0003606158,0.07698026,0.002646827,0.0003422005,0.0001913838,0.05838448,0.002965069,0.748853,0.04363888,0.06012718,0.001377871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730436,0.00005106086,0.004315929,0.0056166,0.0003461544,0.0005758323,0.00001245657,0.000302841,0.01573555],"genre_scores_gemma":[0.9980179,0.0002393748,0.001360522,0.00002619552,0.00002360714,0.00004283493,0.000005907844,0.00002733964,0.0002562968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7645465,"threshold_uncertainty_score":0.6705203,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.007838124695343271,"gpt":0.2203233733817136,"spread":0.2124852486863703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001050904,0.0003171993,0.0004848378,0.004605352,0.0001161166,0.00007762489,0.001243779,0.00018674,0.00008890426],"category_scores_gemma":[0.0000315632,0.0002837128,0.0001759005,0.001152198,0.0001816088,0.0004287589,0.0007205029,0.0003968932,0.00009808523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001209352,"about_ca_system_score_gemma":0.000005741394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002110626,"about_ca_topic_score_gemma":0.000002628921,"domain_scores_codex":[0.9977469,0.00001647289,0.0009434428,0.0003550728,0.0005490758,0.0003889649],"domain_scores_gemma":[0.9984557,0.00002021765,0.000653467,0.0004843694,0.0003725524,0.00001367993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000137128,0.0003506695,0.00163108,0.0009264473,0.001000469,0.000118644,0.00002287477,0.00009621838,0.0001635402,0.7891033,0.001070541,0.205379],"study_design_scores_gemma":[0.008460225,0.0003915237,0.01223738,0.001531636,0.001074346,0.0000741139,0.005007833,0.0006730441,0.05242714,0.1390087,0.7780394,0.001074631],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4500428,0.0001732639,0.0332079,0.009324056,0.003473061,0.001785747,0.000001549778,0.000533546,0.5014581],"genre_scores_gemma":[0.9934905,0.00008718604,0.004995449,0.0003638721,0.0003378554,0.00006040366,0.000003659803,0.00003852619,0.00062255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7769688,"threshold_uncertainty_score":0.9999615,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.006046996312021274,"gpt":0.2215505327938939,"spread":0.2155035364818726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007846769,0.0005336876,0.0007131312,0.003984516,0.0001682913,0.00007339125,0.001779674,0.0005534111,0.0000989462],"category_scores_gemma":[0.000020397,0.0005365377,0.0002163907,0.0004678148,0.000190121,0.0002927704,0.0009338976,0.001013024,0.0002472321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006276091,"about_ca_system_score_gemma":0.00001151058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001520419,"about_ca_topic_score_gemma":0.000005193848,"domain_scores_codex":[0.9971102,0.00002637821,0.001179783,0.0004883969,0.0003635492,0.0008317037],"domain_scores_gemma":[0.9983491,0.00003239447,0.0003474981,0.001135713,0.0000460871,0.00008917411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006540496,0.0002059873,0.0002086713,0.0004974817,0.001471177,0.0005990045,0.00001939845,0.190998,0.0004428032,0.2940373,0.008166363,0.5032884],"study_design_scores_gemma":[0.006175207,0.001111112,0.000764816,0.001138963,0.001438318,0.001092399,0.001705374,0.06939309,0.05269923,0.3345499,0.5273195,0.002612108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3532772,0.0006041585,0.5823644,0.005924225,0.002148973,0.001623749,0.000003349912,0.004580753,0.04947316],"genre_scores_gemma":[0.950861,0.001397774,0.04682333,0.0001128203,0.0000955185,0.000165258,0.000002345877,0.00009388616,0.0004480987],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5975838,"threshold_uncertainty_score":0.9997086,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01458145196480626,"gpt":0.2217271888837006,"spread":0.2071457369188943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007886712,0.0002186549,0.0002576838,0.0006838533,0.00009869855,0.00003004615,0.0002904044,0.0001263756,0.000006441695],"category_scores_gemma":[0.000003900764,0.0002123757,0.00007345322,0.0001371733,0.00005247864,0.0002105528,0.00009484676,0.0003474725,0.000009906893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002955683,"about_ca_system_score_gemma":0.000007085349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002439617,"about_ca_topic_score_gemma":4.695785e-7,"domain_scores_codex":[0.9988366,0.00001004775,0.0005211405,0.0001332436,0.0002148537,0.0002841475],"domain_scores_gemma":[0.9993932,0.00001169286,0.0002355012,0.0002474339,0.0000578496,0.00005427621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008185184,0.00003020172,0.000003403539,0.0001548926,0.00006685677,0.0001237781,0.0000296968,0.9847835,0.0005243247,0.0001004286,0.00007382099,0.01410092],"study_design_scores_gemma":[0.005520605,0.0004560719,0.001819382,0.0005042143,0.0004545058,0.0008034472,0.001070014,0.08518915,0.829856,0.03807782,0.03507033,0.001178512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2358352,0.0008548693,0.761919,0.00007680401,0.0005231401,0.0001504367,0.000002514712,0.0002384049,0.0003995631],"genre_scores_gemma":[0.7101662,0.00115479,0.2885183,0.00003507089,0.00006745957,0.000003500178,0.000003019288,0.00003243263,0.00001920553],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8995944,"threshold_uncertainty_score":0.866043,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0195919512270671,"gpt":0.2265744923350205,"spread":0.2069825411079534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310145,0.0001918901,0.0004158499,0.003518903,0.00009462698,0.00002418044,0.0006574125,0.00005587896,0.00004470074],"category_scores_gemma":[0.00003010456,0.000171734,0.00007609782,0.001400483,0.00009367947,0.0003332804,0.0005242957,0.0003071416,0.00005621935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007172088,"about_ca_system_score_gemma":0.000008052069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002147853,"about_ca_topic_score_gemma":0.0001204197,"domain_scores_codex":[0.9982226,0.00001191675,0.0009008354,0.000205348,0.0003913031,0.0002680128],"domain_scores_gemma":[0.9985443,0.00001172651,0.0009245976,0.0003515726,0.0001594885,0.000008259814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008556518,0.01392505,0.6846389,0.00160883,0.001990009,0.01020369,0.002485401,0.004972157,0.0000720959,0.06914304,0.01412378,0.1959814],"study_design_scores_gemma":[0.01355447,0.0009428529,0.717863,0.0003106977,0.0004570836,0.0001100698,0.04552572,0.0002949236,0.001475505,0.008544227,0.2097702,0.001151267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652455,0.00003562725,0.0001553324,0.0005746626,0.0003140539,0.0004053141,1.730231e-7,0.00006554504,0.03320378],"genre_scores_gemma":[0.9986207,0.00004472116,0.0006436791,0.0002833874,0.0001325098,0.00001475916,0.000001149828,0.00001879047,0.0002402749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1956464,"threshold_uncertainty_score":0.7003109,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02960638115749064,"gpt":0.2441386138513549,"spread":0.2145322326938643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000715564,0.0001757,0.0002400918,0.0009728282,0.0001497025,0.0002397192,0.0004346913,0.00007719618,0.00003281668],"category_scores_gemma":[0.00005750739,0.0001484614,0.00003460093,0.0003476936,0.0001060107,0.001246222,0.000420996,0.0002297921,0.00005608439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004619339,"about_ca_system_score_gemma":0.0000238223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001483611,"about_ca_topic_score_gemma":0.00002328289,"domain_scores_codex":[0.9987669,0.000007956506,0.00045454,0.0001875727,0.000330441,0.00025258],"domain_scores_gemma":[0.9993032,0.0000101397,0.0002344363,0.0002218647,0.0002055852,0.00002477374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007244915,0.001392898,0.0243249,0.007993188,0.001540941,0.001095708,0.0004776294,0.05586299,0.0000533013,0.2779513,0.04919168,0.579391],"study_design_scores_gemma":[0.007157149,0.0008450706,0.03410293,0.0008014222,0.0009397592,0.0003053278,0.01337325,0.004726945,0.005778655,0.1027657,0.8276007,0.00160317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777892,0.0003623346,0.002893625,0.005461112,0.0002965852,0.0002599609,4.159062e-7,0.0001343982,0.01280242],"genre_scores_gemma":[0.9965599,0.0001726055,0.00188419,0.0005292007,0.0002560974,0.00001224762,0.000001919632,0.00001598281,0.0005678931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.778409,"threshold_uncertainty_score":0.6054081,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01249678816978784,"gpt":0.2249362543725474,"spread":0.2124394662027596,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002808586,0.0003716837,0.0005441729,0.001024912,0.0001537503,0.00006425443,0.0005425076,0.0001039377,0.0000136916],"category_scores_gemma":[0.000005247786,0.0003516187,0.0001194315,0.0001315388,0.000072616,0.0002009397,0.0001581456,0.0005234787,0.00002645182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004227685,"about_ca_system_score_gemma":0.000006631411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007345754,"about_ca_topic_score_gemma":0.000006277553,"domain_scores_codex":[0.9980796,0.00003615204,0.0007968039,0.0002674873,0.0003798591,0.000440096],"domain_scores_gemma":[0.9990344,0.00005385538,0.0003420788,0.0004513802,0.00005401119,0.00006424935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001238331,0.0001892259,0.00003484726,0.0002223958,0.0004901804,0.0009273176,0.00006324449,0.9929281,0.000079483,0.0009789919,0.0007917586,0.00317057],"study_design_scores_gemma":[0.008172626,0.00104519,0.002016912,0.0003116052,0.0008429958,0.0002374126,0.006918411,0.009158633,0.9547915,0.004652664,0.0106747,0.001177375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116788,0.000290307,0.1799049,0.00004512746,0.001302675,0.0004916279,0.000003393151,0.0008102458,0.005472938],"genre_scores_gemma":[0.9860209,0.00003948926,0.01356652,0.000003039802,0.0001729482,0.0000242864,0.000004616104,0.00004856261,0.0001196304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9837695,"threshold_uncertainty_score":0.9998936,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02307437971242495,"gpt":0.2332043669500677,"spread":0.2101299872376428,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002045342,0.0003244628,0.0004591869,0.0007594167,0.0002182118,0.0001365567,0.0005343484,0.0001227657,0.00005659999],"category_scores_gemma":[0.00004405669,0.0002667244,0.0001079744,0.0002136687,0.0002148291,0.0005497775,0.000764443,0.0005138164,0.00005530056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007044939,"about_ca_system_score_gemma":0.000006755764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007614323,"about_ca_topic_score_gemma":0.000008975566,"domain_scores_codex":[0.9983571,0.000004500951,0.0005962668,0.0003390241,0.0003634024,0.0003397438],"domain_scores_gemma":[0.9989779,0.00003129064,0.0006000714,0.0002637753,0.00009164468,0.00003530796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003582234,0.000271629,0.04881796,0.0008498961,0.0007471024,0.000708694,0.0001431424,0.0002079185,0.000143557,0.00566833,0.002768844,0.9393147],"study_design_scores_gemma":[0.005426299,0.0004447192,0.3195315,0.0005989967,0.00136647,0.0001543689,0.007165563,0.0003289854,0.04239739,0.0109223,0.6100675,0.001595882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830643,0.0004678428,0.003526545,0.01124935,0.0003517181,0.0002656133,0.000002446565,0.0002062003,0.0008659782],"genre_scores_gemma":[0.9975451,0.0002557645,0.001031439,0.0008136968,0.0002437226,0.000006882472,0.000003446528,0.00003369132,0.00006622905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9377188,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.007572618343752207,"gpt":0.186020348661636,"spread":0.1784477303178838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023139,0.0001794226,0.0002279566,0.001153059,0.0004970053,0.00005822826,0.000679297,0.00005812884,0.0001010334],"category_scores_gemma":[0.00001592523,0.0001421667,0.00006392016,0.0006219771,0.00006343039,0.0004380567,0.0009966182,0.0004497581,0.00000661246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005639037,"about_ca_system_score_gemma":0.000007412169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002841107,"about_ca_topic_score_gemma":0.00000533744,"domain_scores_codex":[0.998531,0.0000203273,0.0005472378,0.0002069661,0.0004661454,0.0002282822],"domain_scores_gemma":[0.9984913,0.00001883123,0.001028105,0.0003521866,0.0001027259,0.000006804406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003638545,0.0002595648,0.01753458,0.0008781754,0.0004249528,0.00005382325,0.0003026875,0.008403487,0.00009108779,0.0955771,0.00278498,0.8733257],"study_design_scores_gemma":[0.001845453,0.0001390553,0.227139,0.0001186469,0.0006552926,0.00007883181,0.007360819,0.0006275401,0.01550512,0.2126112,0.5334763,0.0004428484],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916744,0.0003897572,0.0003481107,0.003722766,0.0005098545,0.0003448564,0.000004032984,0.00005514056,0.002951031],"genre_scores_gemma":[0.9968845,0.0003505604,0.001036135,0.001342852,0.0002601163,0.00002530663,0.000008329635,0.00001980885,0.00007235805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8728828,"threshold_uncertainty_score":0.5797389,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03381530740533453,"gpt":0.2611952031245987,"spread":0.2273798957192642,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001735214,0.0001249517,0.0001838943,0.0003647632,0.0002021867,0.00006742962,0.0002349223,0.0001093661,0.00009656898],"category_scores_gemma":[0.00005874503,0.0001004362,0.00005665417,0.0001212535,0.0001152916,0.0001500451,0.0002512767,0.0003034647,0.00003538661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000664937,"about_ca_system_score_gemma":0.000002494219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.183489e-7,"about_ca_topic_score_gemma":1.381999e-7,"domain_scores_codex":[0.9989509,0.0000213235,0.0003894488,0.0001941445,0.0002100042,0.0002341769],"domain_scores_gemma":[0.9993761,0.00007554037,0.0002436772,0.0002253033,0.00002220778,0.00005714756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001444559,0.001347808,0.001618394,0.001534992,0.0003885694,0.0005663895,0.001287693,0.2624047,0.01491708,0.6088355,0.003584416,0.10337],"study_design_scores_gemma":[0.0005191878,0.0001247695,0.001139215,0.000429247,0.00008281232,0.0001791928,0.0001318377,0.009556237,0.02629106,0.9605523,0.0007785516,0.0002155335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8902928,0.00002618215,0.1073063,0.001280095,0.00006179102,0.0002467416,2.648868e-7,0.00006763961,0.0007181457],"genre_scores_gemma":[0.9791201,0.00003409166,0.02012478,0.00004216927,0.0000276344,0.00001865693,1.763668e-7,0.00001294177,0.0006194704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3517169,"threshold_uncertainty_score":0.409567,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03392875587258912,"gpt":0.2596045363038702,"spread":0.2256757804312811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00136489,0.0002861254,0.0004237211,0.0008024781,0.0005087477,0.0002829113,0.0002817049,0.00009493017,0.0000471802],"category_scores_gemma":[0.00009494687,0.0002567715,0.00008448045,0.0001766221,0.0001220044,0.0007599205,0.000741529,0.0003603216,0.00001509806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000765772,"about_ca_system_score_gemma":0.0000180693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000681317,"about_ca_topic_score_gemma":0.00003984062,"domain_scores_codex":[0.9979792,0.00002044991,0.0008506714,0.0004363051,0.0003139168,0.0003994131],"domain_scores_gemma":[0.9988467,0.00005816397,0.0005700929,0.0003412503,0.0001577851,0.00002606418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001625223,0.0002519515,0.01113472,0.004276117,0.0008150925,0.00007752954,0.0001740516,0.0001982988,0.0003684408,0.01093444,0.003666305,0.9679405],"study_design_scores_gemma":[0.001872508,0.00004531626,0.09614568,0.0004245394,0.0003191303,0.00009194684,0.002188267,0.00009759796,0.0350904,0.0115588,0.8515273,0.0006385099],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722747,0.0003579207,0.01518067,0.009920452,0.0004343138,0.0003975242,0.000001188423,0.0001075593,0.001325656],"genre_scores_gemma":[0.9579998,0.0001449656,0.03896895,0.001234445,0.0003900536,0.00005252737,0.00001325879,0.00003260295,0.001163424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.967302,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.03650951720334861,"gpt":0.2201625540862418,"spread":0.1836530368828932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001932183,0.000106039,0.0002514766,0.0003334112,0.00009597949,0.00002571162,0.0005248912,0.00008905454,0.00001563255],"category_scores_gemma":[0.00006767172,0.00007376329,0.0000561956,0.0002424117,0.00005792001,0.00006370313,0.0001553809,0.0004268432,0.000001778289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008092005,"about_ca_system_score_gemma":0.00003787605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01967877,"about_ca_topic_score_gemma":0.04116255,"domain_scores_codex":[0.9983288,0.00001316429,0.001056528,0.0001162981,0.0002021546,0.0002830649],"domain_scores_gemma":[0.998328,0.00007312904,0.00129872,0.0002541677,0.00002396817,0.00002195634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003139148,0.0003781462,0.3363068,0.00004136182,0.0005739263,0.00003358994,0.0002431034,0.0006480991,0.00003436162,0.4978865,0.001163399,0.1623768],"study_design_scores_gemma":[0.004619057,0.0006549263,0.3252239,0.0004030091,0.00004262807,0.00003124596,0.01417431,0.00006846197,0.1114719,0.1520607,0.3907042,0.0005456468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895382,0.0001343685,0.0001334186,0.002294677,0.0003767397,0.000239265,0.000006091348,0.000004187923,0.007273039],"genre_scores_gemma":[0.9994923,0.00006090272,0.0001431162,0.00006915886,0.00003965745,0.000005359742,5.494264e-7,0.000007732338,0.0001812403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3895408,"threshold_uncertainty_score":0.9868492,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0150891770582421,"gpt":0.2534026252356749,"spread":0.2383134481774328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099322,0.0001473744,0.0002239639,0.0006273358,0.00003359335,0.00001224175,0.0001998207,0.00007215195,0.00002784088],"category_scores_gemma":[0.00003138991,0.000123729,0.0000336709,0.0001387751,0.0000260861,0.0003496761,0.00005038692,0.0001708198,0.000006058176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318307,"about_ca_system_score_gemma":0.00001251906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.773332e-7,"about_ca_topic_score_gemma":0.000001761622,"domain_scores_codex":[0.9986363,0.00003821233,0.000403475,0.00008428613,0.0006383064,0.0001994124],"domain_scores_gemma":[0.9992334,0.00001773427,0.0002960007,0.0001868541,0.0002300928,0.00003588331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001885802,0.00007215208,0.0001745746,0.00005246019,0.000468285,0.000002604617,0.0001070489,0.9786022,0.0004934802,0.0001705224,0.0001259106,0.0197119],"study_design_scores_gemma":[0.004135212,0.0005806413,0.007771264,0.0005628195,0.001803379,0.00008231431,0.0007786041,0.5161456,0.4658379,0.001474201,0.0003536578,0.0004744207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6450716,0.0002702403,0.3529902,0.0001134557,0.0003150732,0.0002997644,9.02131e-7,0.00007899832,0.0008598408],"genre_scores_gemma":[0.9819134,0.0000450815,0.01786629,0.000006599444,0.0001007767,0.0000153797,0.000003029397,0.00002567648,0.00002370931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4653444,"threshold_uncertainty_score":0.504552,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.003366569744625553,"gpt":0.2075014227236999,"spread":0.2041348529790744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001644019,0.0001993706,0.0002693748,0.0008031123,0.0002986063,0.00005545513,0.0006816713,0.00008292091,0.00001115766],"category_scores_gemma":[0.0001025795,0.0001195155,0.00006071666,0.0004295925,0.000361129,0.0004063506,0.0009055169,0.00031651,0.000003187121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176592,"about_ca_system_score_gemma":0.000003476704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001391209,"about_ca_topic_score_gemma":0.000001674205,"domain_scores_codex":[0.9984252,0.00003239206,0.000701269,0.0001869942,0.0004302825,0.0002238529],"domain_scores_gemma":[0.9974509,0.0002041079,0.001900371,0.0004098298,0.00002991234,0.000004848408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000575633,0.0002025011,0.1282811,0.00243429,0.0007193339,0.00001749627,0.00005983028,0.001143915,0.0006926698,0.01345679,0.0001697723,0.8522467],"study_design_scores_gemma":[0.002181266,0.0004198276,0.8775641,0.0005125548,0.0007372663,0.00001064973,0.00410656,0.0005280321,0.05392117,0.01465193,0.04510064,0.0002659492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932622,0.0002786794,0.00002723337,0.003724877,0.0001844744,0.0006000941,7.806856e-7,0.00002111104,0.001900564],"genre_scores_gemma":[0.9990775,0.0003780326,0.0001490061,0.0001245645,0.00007449801,0.00002691065,0.000001634943,0.00001259825,0.0001552558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8519807,"threshold_uncertainty_score":0.4873701,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.01966144575354416,"gpt":0.2460932672768589,"spread":0.2264318215233148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009420433,0.0003061249,0.000461532,0.001555253,0.0001686174,0.0001880787,0.002092548,0.0001924347,0.0000884347],"category_scores_gemma":[0.00008093623,0.0002798309,0.0000794306,0.000450202,0.000107814,0.0003022423,0.002470376,0.0005224837,0.0001781294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00011167,"about_ca_system_score_gemma":0.000009452136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002564472,"about_ca_topic_score_gemma":9.404927e-7,"domain_scores_codex":[0.9981608,0.00003106797,0.0006953253,0.0002856252,0.0002768734,0.0005502691],"domain_scores_gemma":[0.9988481,0.00005455876,0.0002978725,0.0006913026,0.00004525999,0.00006286311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009193649,0.0001685448,0.0003893729,0.0014716,0.002144411,0.002689567,0.00020872,0.03456319,0.05155792,0.008275088,0.09784135,0.8005983],"study_design_scores_gemma":[0.0005147201,0.00005136147,0.001281701,0.0002174896,0.00005172996,0.00008820033,0.0004193703,0.0001400052,0.899496,0.00348593,0.09395705,0.0002964024],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850942,0.00009811809,0.008392956,0.0008245127,0.0009278262,0.0003006734,0.00001087436,0.00297283,0.001377978],"genre_scores_gemma":[0.9799145,0.0006061818,0.01857549,0.00003805079,0.0001377149,0.0000334963,0.000008385172,0.00008278995,0.0006033312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8479381,"threshold_uncertainty_score":0.9999654,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.0135211561401157,"gpt":0.2540574657840668,"spread":0.2405363096439511,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007407868,0.0004596489,0.0006426802,0.004919033,0.0003997893,0.0004490005,0.001523885,0.000344065,0.00005296382],"category_scores_gemma":[0.0000391305,0.0003844291,0.0001992806,0.001223295,0.0002200034,0.001173116,0.0009306725,0.0007642509,0.00007453294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002437447,"about_ca_system_score_gemma":0.00002492148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007515893,"about_ca_topic_score_gemma":0.00001413519,"domain_scores_codex":[0.9971331,0.00001914132,0.001127397,0.0005349293,0.0005094922,0.0006759053],"domain_scores_gemma":[0.9980072,0.00003890246,0.001040264,0.0007135472,0.0001835185,0.00001657745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001261392,0.0003498529,0.001632314,0.001323809,0.0008930602,0.0007961069,0.00002692119,0.0126141,0.0008921818,0.8681724,0.009060548,0.1041126],"study_design_scores_gemma":[0.002802721,0.0001341173,0.002521784,0.002298716,0.0008560114,0.0001103655,0.01082466,0.002131833,0.101752,0.5303918,0.345124,0.001051914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980899,0.001339316,0.05792019,0.009198367,0.003455116,0.0009959989,0.000001162395,0.0006849435,0.02831499],"genre_scores_gemma":[0.9916387,0.000401278,0.006181959,0.0004969721,0.0003649699,0.00004976282,0.000003125798,0.00003747967,0.000825758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3377806,"threshold_uncertainty_score":0.9998608,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.020168146717197,"gpt":0.2163863226196982,"spread":0.1962181759025012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003366085,0.0002222785,0.0004768315,0.001911617,0.00005426178,0.000042843,0.001041996,0.0001145741,0.00008199655],"category_scores_gemma":[0.0003718078,0.0001517696,0.0001081932,0.0005432961,0.0001782329,0.0002743377,0.0004575264,0.0003263919,0.00005649926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024852,"about_ca_system_score_gemma":0.00002866997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000173494,"about_ca_topic_score_gemma":0.000001643322,"domain_scores_codex":[0.9979227,0.00007865732,0.0008975109,0.0002022757,0.0005903944,0.0003085061],"domain_scores_gemma":[0.9980171,0.0002190398,0.001092631,0.0005077013,0.0001467553,0.00001673645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01341672,0.002816409,0.02129927,0.001308496,0.001355377,0.002061342,0.0006468259,0.7239575,0.001585879,0.08673741,0.07414773,0.07066709],"study_design_scores_gemma":[0.02198206,0.00422278,0.3202238,0.007007392,0.002092885,0.0001583121,0.01850012,0.1581359,0.09779376,0.2749405,0.09167374,0.00326877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861965,0.0000676006,0.005859196,0.006111804,0.0003273283,0.0005615607,0.000001697363,0.00003900948,0.000835364],"genre_scores_gemma":[0.9957155,0.00007047181,0.003538315,0.000303645,0.00009075725,0.00001265163,0.000001317095,0.00002325402,0.0002440876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5658215,"threshold_uncertainty_score":0.6188986,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.04283061337683183,"gpt":0.2302842836781954,"spread":0.1874536703013636,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001509074,0.00008341247,0.0002904991,0.0009812814,0.0001070598,0.0000373979,0.00061501,0.00003850142,0.00003572804],"category_scores_gemma":[0.00009861314,0.00007173966,0.00003245079,0.0003224369,0.00005856723,0.0001966838,0.0004356614,0.0001289966,0.00001279446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001658118,"about_ca_system_score_gemma":0.00002715099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000151372,"about_ca_topic_score_gemma":0.000009548632,"domain_scores_codex":[0.998841,0.000003982089,0.0007891307,0.0001775986,0.00003020414,0.0001580169],"domain_scores_gemma":[0.9989879,0.00002959225,0.0007641904,0.000169873,0.00003989576,0.000008526406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001287114,0.000261677,0.1720516,0.0004394306,0.00145687,0.00000260547,0.005160579,0.004031219,0.0001122224,0.450948,0.0195022,0.3459049],"study_design_scores_gemma":[0.002974121,0.0001194392,0.2881269,0.0004628766,0.0000481026,0.000003384048,0.01073952,0.0005984699,0.1410906,0.1959571,0.359503,0.0003763972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801162,0.0002909112,0.001009674,0.001342239,0.0006470553,0.0004356937,0.00000357253,0.000008212764,0.01614641],"genre_scores_gemma":[0.9849219,0.0001046818,0.01003742,0.00004106269,0.00002324744,0.00002237169,6.870334e-7,0.000004381034,0.00484421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3455285,"threshold_uncertainty_score":0.2925459,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}