{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"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":"cbe81e3eed26","filters":{"venue":"Multidisciplinary Aspects of Production Engineering"}},"results":[{"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02060407265858838,"gpt":0.2607465465149018,"spread":0.2401424738563134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000348034,0.0001710734,0.0002070596,0.0002297756,0.0001617361,0.00001074492,0.000108972,0.0000530583,0.00000336054],"category_scores_gemma":[0.00001414847,0.0001511284,0.00002615163,0.0002611831,0.00006374326,0.0002128815,0.000203042,0.0001145665,0.000001945699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107359,"about_ca_system_score_gemma":0.000009622071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001633606,"about_ca_topic_score_gemma":0.00009895738,"domain_scores_codex":[0.9990907,0.00001921583,0.0003301237,0.0002291438,0.0001588409,0.0001719318],"domain_scores_gemma":[0.9994882,0.0000227903,0.00009269176,0.0003124611,0.00005776638,0.00002605536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002138479,0.001734271,0.1161072,0.04027575,0.002986334,0.002524396,0.1123357,0.1748403,0.4589126,0.009993685,0.0001408748,0.07993498],"study_design_scores_gemma":[0.003031334,0.001293169,0.2171713,0.00199712,0.0005435634,0.001514083,0.06423388,0.3465626,0.3591186,0.00003633805,0.002680388,0.001817685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944651,0.0003011508,0.003257714,0.0000118494,0.000415364,0.001173037,0.000001997049,0.0003112067,0.00006255673],"genre_scores_gemma":[0.997234,0.00001133167,0.00230937,2.675403e-7,0.00006684419,0.0003016081,0.000001397679,0.00002850971,0.00004669549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717223,"threshold_uncertainty_score":0.6162838,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02377118598807746,"gpt":0.2330149803512783,"spread":0.2092437943632009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004442664,0.0001403819,0.0002764792,0.00016778,0.000028874,0.000007434945,0.0002777246,0.0000572,0.00001127274],"category_scores_gemma":[0.0001701433,0.00009036937,0.00008052854,0.0004596038,0.00006312331,0.0003900767,0.00005734517,0.0001941833,2.521122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001879222,"about_ca_system_score_gemma":0.00001134174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558061,"about_ca_topic_score_gemma":0.00002738066,"domain_scores_codex":[0.9989061,0.00003039195,0.0005258428,0.0001650502,0.0002245417,0.0001480998],"domain_scores_gemma":[0.9992346,0.00007982915,0.000139293,0.0003666918,0.0001553992,0.00002419128],"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":[0.00007192258,0.0000871199,0.00004477859,0.0003634798,0.00004135092,4.906331e-7,0.001676834,0.7258505,0.2690245,0.000369299,0.000001029848,0.002468752],"study_design_scores_gemma":[0.00009717597,0.0002385457,0.000441645,0.00009987156,0.00002535599,0.00000335871,0.0003778446,0.5793561,0.4191539,0.0001425237,9.108689e-7,0.00006271038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731008,0.0001092892,0.02620164,0.00006292155,0.0002183429,0.0002337676,0.000005091855,0.00003519157,0.00003288512],"genre_scores_gemma":[0.9988069,0.00001839924,0.0009959227,0.000001078003,0.0001365585,0.00001175916,0.000002630093,0.00002070873,0.000006043041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1501295,"threshold_uncertainty_score":0.3685156,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02813357331273373,"gpt":0.2503377989678329,"spread":0.2222042256550992,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003699841,0.00009436614,0.0001169725,0.00002015796,0.0001727589,0.000009103644,0.0001406545,0.00004270122,0.00003907219],"category_scores_gemma":[0.0002552757,0.00003642578,0.00004058968,0.0003420297,0.00006514524,0.0001919942,0.00003373043,0.00009041979,0.000002079832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213164,"about_ca_system_score_gemma":0.000009577368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002464239,"about_ca_topic_score_gemma":0.00003065158,"domain_scores_codex":[0.9991533,0.00001541768,0.0002328842,0.000190928,0.000273155,0.0001342944],"domain_scores_gemma":[0.999472,0.00002342624,0.000151017,0.00006726144,0.0002611197,0.00002518253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004659753,0.0000583583,0.0009171705,0.00009078284,0.0000145853,2.275952e-7,0.0003735822,0.002774907,0.9927651,0.00004038107,0.000009011388,0.002909327],"study_design_scores_gemma":[0.00007449045,0.0002220504,0.07541319,0.0001403718,0.00001110141,0.000009339506,0.0009660031,0.0006984657,0.92219,0.0000598807,0.0001212009,0.00009389935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985002,0.000142987,0.0000300801,0.0003905038,0.0004118306,0.0001655987,0.000002034156,0.00005537627,0.0003013472],"genre_scores_gemma":[0.99888,0.00001010821,0.00005463953,5.192687e-7,0.0009958086,0.0000117756,0.000001296068,0.000001412274,0.00004445595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07449602,"threshold_uncertainty_score":0.14854,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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","retraction":null,"screen_n_in":null,"score":{"opus":0.02855396030107328,"gpt":0.2720983245838119,"spread":0.2435443642827387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005315181,0.0001699504,0.0008289291,0.001592926,0.00003978788,0.000008330554,0.000106846,0.00009452792,0.00008073702],"category_scores_gemma":[0.006564069,0.0002115664,0.0001105908,0.003320454,0.00008204364,0.0001742328,0.0001127812,0.0001460772,0.000002264134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002033177,"about_ca_system_score_gemma":0.0001232592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001093654,"about_ca_topic_score_gemma":0.00001897581,"domain_scores_codex":[0.9983651,0.00002723195,0.0008138898,0.0005039766,0.00006403196,0.0002257684],"domain_scores_gemma":[0.9983015,0.0006032413,0.0004516977,0.0003808067,0.0001118078,0.0001509543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006207947,0.0003809326,0.6310791,0.003372311,0.00178055,0.00002006979,0.002046586,0.2994511,0.03161258,0.02964785,0.00002891674,0.0005178948],"study_design_scores_gemma":[0.0009613371,0.0001737721,0.8983412,0.00005415505,0.000369586,0.00002403882,0.0001168036,0.07855938,0.01848361,0.002414443,0.000142151,0.0003594666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444537,0.003318157,0.05123603,0.000156326,0.0003211258,0.0002190468,0.0001333708,0.00004744511,0.0001147915],"genre_scores_gemma":[0.996411,0.0003540505,0.003060248,0.000006056046,0.00004537301,0.000009570687,0.0000445125,0.00002090285,0.00004824435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2672621,"threshold_uncertainty_score":0.8627428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}