{"meta":{"query_hash":"cbe81e3eed26","filters":{"venue":"Multidisciplinary Aspects of Production Engineering"},"cohort_total":4,"direct_labels_cover":0,"predictions_cover":4,"exported":4,"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/cbe81e3eed26","api":"https://metacan.xera.ac/api/v1/cohort?venue=Multidisciplinary+Aspects+of+Production+Engineering"},"results":[{"id":"W2896161174","doi":"10.2478/mape-2018-0016","title":"Measurement of Forces During the Extraction Process","year":2018,"lang":"en","type":"article","venue":"Multidisciplinary Aspects of Production Engineering","topic":"Mining and Industrial Processes","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Ministry of Labour","funders":"Silesian University of Technology","keywords":"Process (computing); Drum; Cartridge; Conical surface; Coal mining; Extraction (chemistry); Certification; Computer science; Mechanical engineering; Engineering drawing; Engineering; Coal; Waste management; Law","score_opus":0.02813357331273373,"score_gpt":0.2503377989678329,"score_spread":0.2222042256550992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896161174","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":[0.9985002,0.00014298703,0.000030080104,0.00039050382,0.00041183055,0.00016559869,0.0000020341558,0.000055376273,0.00030134717],"genre_scores_gemma":[0.99887997,0.00001010821,0.00005463953,5.1926867e-7,0.0009958086,0.000011775596,0.0000012960676,0.0000014122744,0.00004445595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991533,0.00001541768,0.0002328842,0.00019092797,0.00027315505,0.00013429436],"domain_scores_gemma":[0.999472,0.00002342624,0.00015101704,0.00006726144,0.00026111965,0.000025182528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003699841,0.000094366136,0.00011697251,0.000020157955,0.00017275891,0.000009103644,0.00014065452,0.000042701216,0.000039072194],"category_scores_gemma":[0.00025527572,0.000036425783,0.000040589675,0.0003420297,0.000065145236,0.00019199419,0.00003373043,0.00009041979,0.0000020798325],"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":[0.00004659753,0.000058358295,0.0009171705,0.000090782836,0.0000145852955,2.275952e-7,0.00037358218,0.0027749073,0.99276507,0.000040381074,0.000009011388,0.0029093274],"study_design_scores_gemma":[0.000074490454,0.00022205041,0.07541319,0.00014037183,0.000011101406,0.000009339506,0.0009660031,0.0006984657,0.92219,0.0000598807,0.000121200865,0.00009389935],"about_ca_topic_score_codex":0.000024642392,"about_ca_topic_score_gemma":0.000030651576,"teacher_disagreement_score":0.07449602,"about_ca_system_score_codex":0.0000213164,"about_ca_system_score_gemma":0.000009577368,"threshold_uncertainty_score":0.14854003},"labels":[],"label_agreement":null},{"id":"W2896702585","doi":"10.2478/mape-2018-0027","title":"Applying the Anticipatory Failure Determination at a Very Early Stage of a System’S Development: Overview and Case Study","year":2018,"lang":"en","type":"article","venue":"Multidisciplinary Aspects of Production Engineering","topic":"Technology Assessment and Management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Independent Electricity System Operator; Uniwersytet Szczeciński","keywords":"Hull; Process (computing); Set (abstract data type); Computer science; TRIZ; Reliability engineering; Systems engineering; Stage (stratigraphy); Engineering; Operations research; Industrial engineering; Artificial intelligence","score_opus":0.02060407265858838,"score_gpt":0.26074654651490176,"score_spread":0.24014247385631338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896702585","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":[0.9944651,0.0003011508,0.0032577144,0.000011849401,0.00041536396,0.0011730375,0.000001997049,0.0003112067,0.00006255673],"genre_scores_gemma":[0.997234,0.000011331669,0.0023093699,2.675403e-7,0.00006684419,0.00030160815,0.0000013976793,0.00002850971,0.000046695488],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909073,0.000019215833,0.00033012367,0.00022914378,0.00015884086,0.00017193175],"domain_scores_gemma":[0.99948823,0.000022790302,0.000092691764,0.00031246114,0.000057766385,0.000026055355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000348034,0.00017107338,0.0002070596,0.00022977556,0.00016173614,0.0000107449205,0.00010897198,0.0000530583,0.0000033605397],"category_scores_gemma":[0.000014148467,0.00015112842,0.000026151632,0.00026118307,0.00006374326,0.00021288151,0.00020304204,0.000114566494,0.0000019456993],"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":[0.00021384793,0.0017342707,0.11610725,0.040275745,0.0029863336,0.0025243962,0.1123357,0.17484027,0.45891264,0.009993685,0.00014087476,0.07993498],"study_design_scores_gemma":[0.0030313337,0.0012931686,0.21717125,0.00199712,0.0005435634,0.0015140831,0.06423388,0.34656256,0.35911864,0.000036338046,0.002680388,0.0018176853],"about_ca_topic_score_codex":0.000016336064,"about_ca_topic_score_gemma":0.00009895738,"teacher_disagreement_score":0.1717223,"about_ca_system_score_codex":0.000110735906,"about_ca_system_score_gemma":0.000009622071,"threshold_uncertainty_score":0.61628383},"labels":[],"label_agreement":null},{"id":"W2898032805","doi":"10.2478/mape-2018-0033","title":"Use of Triz SU-Field Models in the Process of Improving the Injector of an Internal Combustion Engine","year":2018,"lang":"en","type":"article","venue":"Multidisciplinary Aspects of Production Engineering","topic":"Mechanical and Thermal Properties Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Independent Electricity System Operator; Uniwersytet Szczeciński","keywords":"Injector; Field (mathematics); Process (computing); Class (philosophy); TRIZ; Nozzle; Computer science; Transformation (genetics); Combustion; Ignition system; Mechanical engineering; Industrial engineering; Systems engineering; Engineering; Manufacturing engineering; Mathematics; Aerospace engineering; Artificial intelligence; Programming language","score_opus":0.023771185988077464,"score_gpt":0.23301498035127832,"score_spread":0.20924379436320087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898032805","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":[0.97310084,0.00010928916,0.026201643,0.00006292155,0.0002183429,0.00023376763,0.0000050918547,0.000035191566,0.000032885124],"genre_scores_gemma":[0.9988069,0.000018399243,0.0009959227,0.0000010780029,0.00013655849,0.000011759163,0.0000026300931,0.000020708729,0.0000060430407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989061,0.000030391946,0.00052584277,0.00016505021,0.0002245417,0.00014809983],"domain_scores_gemma":[0.9992346,0.00007982915,0.00013929296,0.0003666918,0.00015539919,0.000024191284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004442664,0.00014038189,0.0002764792,0.00016777999,0.000028874003,0.000007434945,0.00027772464,0.000057199995,0.000011272742],"category_scores_gemma":[0.00017014329,0.000090369365,0.00008052854,0.00045960382,0.00006312331,0.00039007666,0.00005734517,0.00019418335,2.5211216e-7],"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":[0.00007192258,0.0000871199,0.000044778593,0.00036347983,0.00004135092,4.906331e-7,0.0016768343,0.72585046,0.26902446,0.00036929903,0.0000010298478,0.0024687524],"study_design_scores_gemma":[0.00009717597,0.00023854572,0.00044164504,0.00009987156,0.000025355988,0.0000033587103,0.00037784464,0.57935613,0.41915393,0.0001425237,9.108689e-7,0.00006271038],"about_ca_topic_score_codex":0.0001558061,"about_ca_topic_score_gemma":0.00002738066,"teacher_disagreement_score":0.15012948,"about_ca_system_score_codex":0.000018792221,"about_ca_system_score_gemma":0.000011341736,"threshold_uncertainty_score":0.36851555},"labels":[],"label_agreement":null},{"id":"W3198051986","doi":"10.2478/mape-2021-0036","title":"Statistical and Econometric Analysis of Selected Effects of COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Multidisciplinary Aspects of Production Engineering","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Pandemic; Quarter (Canadian coin); Unemployment; Statistic; Coronavirus disease 2019 (COVID-19); Economics; Econometrics; Statistics; Demographic economics; Geography; Economic growth; Mathematics","score_opus":0.028553960301073277,"score_gpt":0.27209832458381195,"score_spread":0.24354436428273868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198051986","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":[0.9444537,0.0033181568,0.05123603,0.00015632602,0.00032112584,0.00021904682,0.00013337078,0.00004744511,0.00011479152],"genre_scores_gemma":[0.996411,0.00035405045,0.0030602477,0.0000060560465,0.000045373014,0.000009570687,0.000044512504,0.00002090285,0.000048244354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983651,0.000027231952,0.0008138898,0.0005039766,0.000064031956,0.00022576842],"domain_scores_gemma":[0.9983015,0.00060324126,0.0004516977,0.00038080674,0.000111807836,0.00015095434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053151813,0.00016995038,0.00082892907,0.0015929261,0.00003978788,0.000008330554,0.00010684599,0.00009452792,0.00008073702],"category_scores_gemma":[0.006564069,0.00021156641,0.000110590845,0.0033204544,0.00008204364,0.00017423276,0.000112781214,0.0001460772,0.0000022641343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062079474,0.00038093264,0.63107914,0.0033723107,0.0017805495,0.000020069789,0.0020465858,0.2994511,0.031612575,0.029647851,0.000028916738,0.0005178948],"study_design_scores_gemma":[0.0009613371,0.00017377209,0.89834124,0.000054155054,0.00036958602,0.00002403882,0.00011680359,0.078559384,0.018483607,0.0024144426,0.00014215095,0.00035946665],"about_ca_topic_score_codex":0.000109365385,"about_ca_topic_score_gemma":0.000018975812,"teacher_disagreement_score":0.26726213,"about_ca_system_score_codex":0.00020331766,"about_ca_system_score_gemma":0.00012325925,"threshold_uncertainty_score":0.8627428},"labels":[],"label_agreement":null}]}