{"meta":{"query_hash":"caed33abc490","filters":{"venue":"International Journal of Service and Computing Oriented Manufacturing"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/caed33abc490","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Service+and+Computing+Oriented+Manufacturing"},"results":[{"id":"W2024569061","doi":"10.1504/ijscom.2014.066496","title":"Using simulation to investigate the performance of a batch order manufacturing system","year":2014,"lang":"en","type":"article","venue":"International Journal of Service and Computing Oriented Manufacturing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Scheduling (production processes); Computer science; Genetic algorithm; Industrial engineering; Job shop scheduling; Batch production; Animation; Order (exchange); Payback period; Production (economics); Engineering; Machine learning; Embedded system; Operations management; Routing (electronic design automation)","score_opus":0.013391521108516475,"score_gpt":0.24320559899165248,"score_spread":0.22981407788313601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024569061","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":[0.6345916,0.00002043235,0.3645585,0.000073884905,0.00059578754,0.000056094195,0.000001304277,0.000038283466,0.00006413008],"genre_scores_gemma":[0.9809729,0.00001334038,0.018520465,0.00015791842,0.00030498693,5.6833784e-7,0.000002619951,0.00002405217,0.0000031906084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879926,0.00003153913,0.00052832667,0.00012437634,0.00034266044,0.00017383743],"domain_scores_gemma":[0.99900675,0.00016113513,0.00028748263,0.00012926995,0.00033317975,0.000082164064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031495202,0.00016640146,0.0002120194,0.00020498986,0.000106417196,0.000056375244,0.00029567312,0.000050116425,0.0000024025608],"category_scores_gemma":[0.000036784273,0.0001331463,0.00003876706,0.00009470994,0.000024024897,0.00021228772,0.000107760876,0.00021097124,0.0000014609553],"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":[0.000031739593,0.00000661887,0.00016559014,0.00014598006,0.0000680958,0.0000022678578,0.00057842274,0.9910862,0.00050136796,0.0000939794,0.0000022895167,0.0073174657],"study_design_scores_gemma":[0.0003441371,0.000041338386,0.0014531083,0.0004560084,0.000030991207,0.000058304307,0.0002659582,0.9197052,0.07706182,0.000055859993,0.00039571503,0.0001315347],"about_ca_topic_score_codex":0.000029474344,"about_ca_topic_score_gemma":0.000003818809,"teacher_disagreement_score":0.34638125,"about_ca_system_score_codex":0.00009675129,"about_ca_system_score_gemma":0.000014116703,"threshold_uncertainty_score":0.54295486},"labels":[],"label_agreement":null},{"id":"W2942219242","doi":"10.1504/ijscom.2018.10020805","title":"Numerical and experimental comparisons of pressed blades for large Francis turbine runners manufactured with a reconfigurable pressing setup and a conventional setup","year":2018,"lang":"en","type":"article","venue":"International Journal of Service and Computing Oriented Manufacturing","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Pressing; Finite element method; Hydraulic press; Mechanical engineering; Francis turbine; Turbine blade; Die (integrated circuit); Range (aeronautics); Process (computing); Hydropower; Engineering; Turbine; Drum; Power (physics); Structural engineering; Computer science; Electrical engineering","score_opus":0.008937208106471086,"score_gpt":0.24449630888171703,"score_spread":0.23555910077524594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942219242","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":[0.97409356,0.00035375488,0.02469701,0.000102493716,0.0005169718,0.000108466986,0.000018792574,0.000023834564,0.000085100204],"genre_scores_gemma":[0.9945619,0.000013669034,0.005074548,0.0000869069,0.00022086134,0.0000020346292,0.000013507742,0.000017396178,0.00000914529],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991009,0.000015430827,0.0003754564,0.00013830465,0.00019815029,0.00017175317],"domain_scores_gemma":[0.9993986,0.0000770396,0.00022214408,0.000052873893,0.00016583936,0.0000834935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165758,0.00015528465,0.00026550514,0.000116496674,0.00010869743,0.000075359145,0.00011213221,0.00005299317,0.00003437582],"category_scores_gemma":[0.000008105602,0.00013112239,0.00003474273,0.000031460044,0.000045193072,0.0002594493,0.000044352644,0.00011848348,2.7583778e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014551169,0.001425561,0.010125537,0.005983799,0.010543176,0.00020981571,0.044363834,0.053473316,0.8213417,0.005371917,0.0017908453,0.030819334],"study_design_scores_gemma":[0.0043104393,0.00037496243,0.0070207077,0.00082628074,0.000091383954,0.0004483831,0.0013089068,0.07476801,0.9064413,0.00016815629,0.0039469004,0.00029460905],"about_ca_topic_score_codex":0.000029280996,"about_ca_topic_score_gemma":0.00000584006,"teacher_disagreement_score":0.08509957,"about_ca_system_score_codex":0.000019934205,"about_ca_system_score_gemma":0.000012316072,"threshold_uncertainty_score":0.5347016},"labels":[],"label_agreement":null},{"id":"W4248973633","doi":"10.1504/ijscom.2018.099458","title":"Numerical and experimental comparisons of pressed blades for large Francis turbine runners manufactured with a reconfigurable pressing setup and a conventional setup","year":2018,"lang":"en","type":"article","venue":"International Journal of Service and Computing Oriented Manufacturing","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Francis turbine; Finite element method; Pressing; Mechanical engineering; Hydraulic press; Turbine blade; Die (integrated circuit); Hydropower; Range (aeronautics); Process (computing); Engineering; Turbine; Power (physics); Hydraulic turbines; Structural engineering; Computer science; Electrical engineering; Physics","score_opus":0.00861782450702188,"score_gpt":0.24794330083534766,"score_spread":0.23932547632832576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248973633","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":[0.970982,0.00047033752,0.02764252,0.00021397976,0.00039221294,0.00013952516,0.00003470223,0.000028653776,0.00009603956],"genre_scores_gemma":[0.99264145,0.00001026927,0.0069566146,0.00013643384,0.00020433354,0.0000032877113,0.0000174116,0.000021781098,0.00000843419],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896747,0.000017098735,0.0004185812,0.00016064831,0.00025923314,0.00017695755],"domain_scores_gemma":[0.99917495,0.00013835952,0.00026425984,0.000062591425,0.00026524253,0.000094591705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015564194,0.00016562354,0.0002594643,0.00015648156,0.00010196765,0.00008615414,0.00012736693,0.0000484099,0.000026187241],"category_scores_gemma":[0.000010694497,0.0001487043,0.0000363415,0.000047531867,0.000056202687,0.00026362386,0.000044560333,0.0001475285,3.0213462e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017168473,0.0030889553,0.047676787,0.00742144,0.017411085,0.0002468688,0.12386738,0.2328336,0.49151018,0.0071527506,0.0071412073,0.044481266],"study_design_scores_gemma":[0.010414719,0.000779469,0.038890745,0.0012816173,0.000163484,0.00065568695,0.0046873903,0.22071892,0.71609133,0.00048368555,0.0052217846,0.0006111523],"about_ca_topic_score_codex":0.000023045899,"about_ca_topic_score_gemma":0.0000060772536,"teacher_disagreement_score":0.22458115,"about_ca_system_score_codex":0.00003875437,"about_ca_system_score_gemma":0.000015442078,"threshold_uncertainty_score":0.6063985},"labels":[],"label_agreement":null}]}