{"meta":{"query_hash":"9b32ec23df85","filters":{"venue":"Integrated Manufacturing Systems"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/9b32ec23df85","api":"https://metacan.xera.ac/api/v1/cohort?venue=Integrated+Manufacturing+Systems"},"results":[{"id":"W1985139560","doi":"10.1108/09576060210448125","title":"The holonic enterprise: a model for Internet‐enabled global manufacturing supply chain and workflow management","year":2002,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Interoperability; Workflow; Supply chain; Manufacturing engineering; Enterprise resource planning; Enterprise integration; Cyber-physical system; Engineering; The Internet; Systems engineering; Process management; Computer science; Knowledge management; Enterprise software; World Wide Web; Business; Database; Operating system","score_opus":0.018323532599601098,"score_gpt":0.22564631760116516,"score_spread":0.20732278500156406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985139560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10927728,0.0016765486,0.88327765,0.0005610541,0.0019115241,0.0019356625,0.00002342827,0.0004090113,0.00092785776],"genre_scores_gemma":[0.9875326,0.00022594683,0.0026755696,0.00007659234,0.00010312437,0.00040307306,0.000008262983,0.000027656219,0.008947187],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733394,0.00012934177,0.00064304407,0.00075238984,0.00037480996,0.0007664583],"domain_scores_gemma":[0.99863476,0.0001357423,0.0002921198,0.0007292801,0.0000561785,0.0001519101],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00064892013,0.00040557163,0.00035561933,0.00012606247,0.00038478713,0.0010705551,0.0010401057,0.00014811027,0.000005233795],"category_scores_gemma":[0.000016091035,0.0002820753,0.00013920324,0.00011393176,0.000044856188,0.00041157953,0.00027413666,0.00021662204,0.00004280021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004530185,0.00069940236,0.0020454286,0.003379357,0.0027127839,0.00031463508,0.01247785,0.118810944,0.00043663112,0.1732397,0.059614208,0.62581605],"study_design_scores_gemma":[0.0009024845,0.000054816803,0.00049446675,0.00040177832,0.000025194478,0.000057573307,0.00021258043,0.9848175,0.0022481943,0.00070063246,0.009735532,0.0003492203],"about_ca_topic_score_codex":0.00036174397,"about_ca_topic_score_gemma":0.00011279257,"teacher_disagreement_score":0.88060206,"about_ca_system_score_codex":0.00037117267,"about_ca_system_score_gemma":0.000014425663,"threshold_uncertainty_score":0.99996644},"labels":[],"label_agreement":null},{"id":"W2068918145","doi":"10.1108/09576060110392588","title":"A model for integrated production planning in cellular manufacturing systems","year":2001,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Production (economics); Production planning; Manufacturing engineering; Cellular manufacturing; Systems engineering; Computer science; Engineering","score_opus":0.027190916178222564,"score_gpt":0.23732017353305573,"score_spread":0.21012925735483318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068918145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27941662,0.0009949945,0.7130001,0.000018145385,0.002942219,0.0014544367,0.000048273952,0.0014016483,0.0007235253],"genre_scores_gemma":[0.993068,0.00017048104,0.0031000623,0.000009647257,0.00036093572,0.00061185285,0.00031404692,0.00020190052,0.0021630784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968393,0.00007793497,0.0010400759,0.00076119666,0.0003313218,0.0009501939],"domain_scores_gemma":[0.9987844,0.00012830393,0.00020933813,0.00058096054,0.00012477922,0.0001722188],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004987522,0.0007097078,0.0007285052,0.0007349002,0.00019878191,0.00029280756,0.0003745418,0.00040737662,0.000006157377],"category_scores_gemma":[0.000098125376,0.000670216,0.00012504209,0.0002394303,0.00005331884,0.0004902634,0.000036210717,0.0007110408,0.00002041113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000906313,0.000038917762,0.00006146784,0.00053676957,0.00007229462,0.000045858298,0.0004283579,0.99509555,0.0018192878,0.00012581871,0.00067817204,0.0010068779],"study_design_scores_gemma":[0.0006657744,0.000040618044,0.000044192162,0.00081693643,0.000036389585,0.00006493398,0.0009934063,0.9244565,0.0655134,0.00020568284,0.0064433073,0.0007188772],"about_ca_topic_score_codex":0.00044356802,"about_ca_topic_score_gemma":0.000056032644,"teacher_disagreement_score":0.71365136,"about_ca_system_score_codex":0.0008155134,"about_ca_system_score_gemma":0.00004971876,"threshold_uncertainty_score":0.9995749},"labels":[],"label_agreement":null},{"id":"W2082944158","doi":"10.1108/17410380310698478","title":"Intelligent process‐planning system or optimal CNC programming – a step towards complete automation of CNC programming","year":2003,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Numerical control; Automation; Process (computing); Automatic programming; Flexibility (engineering); Programmer; Computer science; Engineering drawing; Machining; Manufacturing engineering; Plan (archaeology); Blackboard (design pattern); Engineering; Embedded system; Programming language; Mechanical engineering","score_opus":0.022976385983686936,"score_gpt":0.2501829964487936,"score_spread":0.22720661046510668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082944158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2869197,0.0010447981,0.7020972,0.000007885973,0.0018592014,0.0023970606,0.000036954127,0.002909734,0.002727491],"genre_scores_gemma":[0.97331184,0.000017782895,0.025670862,0.0000038557205,0.00008559633,0.00042666867,0.000093337614,0.00014127293,0.00024875905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99650145,0.00013404372,0.0013432434,0.00057288073,0.00063734804,0.0008110563],"domain_scores_gemma":[0.998499,0.00008265828,0.00046096995,0.00045725785,0.00029233794,0.00020779598],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006575704,0.00067301234,0.00082540803,0.00048980664,0.00021434281,0.0004006562,0.00041610072,0.00032354114,0.00004286045],"category_scores_gemma":[0.000090351736,0.00054666825,0.00015293591,0.00044299813,0.000066067754,0.00042629152,0.000035626173,0.00048016847,0.000025679628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006376574,0.000065311266,0.000110955836,0.008272277,0.00024341539,0.000044316064,0.0019513249,0.96300805,0.00017993042,0.00031766552,0.00007222064,0.02567079],"study_design_scores_gemma":[0.0010583231,0.0003392622,0.00014411482,0.005898454,0.00017986629,0.00034463644,0.01338813,0.77214545,0.17233194,0.000008741391,0.03282578,0.0013352644],"about_ca_topic_score_codex":0.000209842,"about_ca_topic_score_gemma":0.000011620153,"teacher_disagreement_score":0.6863921,"about_ca_system_score_codex":0.00045903318,"about_ca_system_score_gemma":0.00011549877,"threshold_uncertainty_score":0.99969846},"labels":[],"label_agreement":null},{"id":"W2088013871","doi":"10.1108/09576060310491919","title":"Most efficient tool feed direction in three‐axis CNC machining","year":2003,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Concordia University","funders":"","keywords":"Tangent; Machining; Numerical control; Tool path; Machine tool; Point (geometry); Cutter location; Enhanced Data Rates for GSM Evolution; Engineering; Mechanical engineering; Cutting tool; Cnc milling; Engineering drawing; Geometry; Mathematics","score_opus":0.007228653040223125,"score_gpt":0.21453660767379473,"score_spread":0.2073079546335716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088013871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7756482,0.0005549114,0.21296893,0.000009090976,0.00078451954,0.00045533956,0.000008170602,0.0018806282,0.007690218],"genre_scores_gemma":[0.9980275,0.000022316892,0.0015290101,0.00001076682,0.000036262405,0.00011680849,0.000013493724,0.00006390796,0.00017992426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836683,0.00008469021,0.00055111304,0.00034148185,0.00023343567,0.0004224169],"domain_scores_gemma":[0.99940026,0.00008353888,0.000076883705,0.00032597818,0.00004192095,0.00007144408],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029947283,0.00032185382,0.00042487602,0.0003533823,0.00007080719,0.000084862215,0.00016181533,0.00015374155,0.000033209428],"category_scores_gemma":[0.0000894831,0.00028156067,0.0000750181,0.00049954304,0.000025847274,0.00011739949,0.00001685205,0.0004687738,0.000048458678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001056847,0.00004672726,0.00088016334,0.000106542895,0.00007578913,0.000031641906,0.00012645665,0.97789127,0.01064782,0.00044307995,0.00015409007,0.00958587],"study_design_scores_gemma":[0.00064151164,0.00007178515,0.003637956,0.0006816175,0.00004604177,0.00006876911,0.00048339786,0.624762,0.34428567,0.00048391917,0.02367617,0.0011611381],"about_ca_topic_score_codex":0.0009259254,"about_ca_topic_score_gemma":0.00014596192,"teacher_disagreement_score":0.35312924,"about_ca_system_score_codex":0.0005148429,"about_ca_system_score_gemma":0.00001357542,"threshold_uncertainty_score":0.99996364},"labels":[],"label_agreement":null},{"id":"W2111661238","doi":"10.1108/09576060310459384","title":"Improving workplace material handling through consolidation of cribs and a dispatching system","year":2003,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Workstation; Consolidation (business); Gauge (firearms); Engineering; Production (economics); Reliability engineering; Computer science; Manufacturing engineering; Simulation; Automotive engineering; Mechanical engineering; Business","score_opus":0.007686451150407448,"score_gpt":0.19854134237921858,"score_spread":0.19085489122881114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111661238","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31360903,0.00039354924,0.6817587,0.000001993905,0.0016520938,0.00031075926,0.00003613401,0.0005417553,0.0016959681],"genre_scores_gemma":[0.9920206,0.000046080357,0.0076618223,0.000002539971,0.000072327144,0.000032657506,0.000037670936,0.00005851303,0.000067759844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99866086,0.00008173492,0.00052359834,0.00026784124,0.00015796412,0.00030801265],"domain_scores_gemma":[0.99935454,0.00010990999,0.0001763298,0.00023695637,0.00005929244,0.000062948435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023758353,0.00028612913,0.00038486117,0.000113657945,0.00012161144,0.00014656039,0.000097654156,0.00015863025,0.000005967833],"category_scores_gemma":[0.00007311132,0.0002623407,0.0000388549,0.000076551885,0.00004701331,0.0002803697,0.000019777064,0.00020940736,0.000003429169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029023297,0.000013486487,0.0000453947,0.0018327717,0.0000719839,0.000010019514,0.0005974278,0.98598164,0.0059950976,0.004525877,0.00003472718,0.00086253654],"study_design_scores_gemma":[0.000958441,0.000054392425,0.000042698437,0.0013742275,0.000087147695,0.00013469585,0.0040361793,0.17167175,0.8192355,0.00021882907,0.001532177,0.0006539679],"about_ca_topic_score_codex":0.00040005517,"about_ca_topic_score_gemma":0.00000869667,"teacher_disagreement_score":0.8143099,"about_ca_system_score_codex":0.00016095722,"about_ca_system_score_gemma":0.00001856304,"threshold_uncertainty_score":0.9999829},"labels":[],"label_agreement":null}]}