{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"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","author_layer_release":"2026-06-26"},"query_hash":"551fa0358431","filters":{"venue":"Journal of Achievements of Materials and Manufacturing Engineering"}},"results":[{"id":"W2103029997","doi":"","title":"Microstructure and mechanical properties of AC AlSi9CuX alloys","year":2007,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Microstructure; Materials science; Indentation hardness; Eutectic system; Optical microscope; Alloy; Scanning electron microscope; Rockwell scale; Ultimate tensile strength; Metallurgy; Vickers hardness test; Ductility (Earth science); Intermetallic; Casting; Tensile testing; Composite material; Creep","authors":[{"name":"L. A. Dobrzański","is_ca":false},{"name":"R. Maniara","is_ca":false},{"name":"M. Krupiński","is_ca":false},{"name":"J. H. Sokołowski","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006626557557784089,"gpt":0.1830198135726851,"spread":0.176393256014901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001577109,0.0001938018,0.000139155,0.0003671464,0.0002211039,0.0002776942,0.0002649821,0.0002325839,0.00089244],"category_scores_gemma":[0.0002094147,0.0001323116,0.0001004246,0.0003030162,0.0001865021,0.0001341384,0.00009432607,0.00008872875,0.000221058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000411451,"about_ca_system_score_gemma":0.0001694426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001420527,"about_ca_topic_score_gemma":0.002538235,"domain_scores_codex":[0.9998043,0.00001323408,0.00001301671,0.00003836662,0.0001145717,0.00001662001],"domain_scores_gemma":[0.9998424,0.0000122128,0.00005462452,0.00001012288,0.00006946759,0.00001119427],"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":[0.0002197443,0.00002109104,0.00355208,0.0001450189,0.000009007643,0.00008662637,0.00006170954,0.0009165715,0.9906071,0.0001233055,0.00009805657,0.004159664],"study_design_scores_gemma":[0.00001578194,0.0009360312,0.06424925,0.00001422045,0.0000472001,0.000302491,0.0001182473,0.003424373,0.9277415,0.00005471993,0.003086465,0.000009593555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975566,0.0005621437,0.0004116249,0.00001317656,0.000005347043,0.000008603981,0.0001170451,0.00002584444,0.001299556],"genre_scores_gemma":[0.9981034,0.0001731489,0.0004317517,0.000004936991,0.00000314387,0.000006043681,0.0001377581,0.000007033253,0.001132814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001420527,"threshold_uncertainty_score":0.002985477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170636489","doi":"","title":"A novel approach to the design and optimisation of aluminium cast component heat treatment processes using advanced UMSA physical simulations","year":2007,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":24,"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":"Component (thermodynamics); Automotive industry; Process engineering; Mechanical engineering; Process (computing); Computer science; Sample (material); Aluminium; Materials science; Engineering; Metallurgy","authors":[{"name":"L. A. Dobrzański","is_ca":true},{"name":"Michael Kasprzak","is_ca":false},{"name":"W. Kasprzak","is_ca":false},{"name":"J. H. Sokołowski","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02085957274132079,"gpt":0.2311106017037997,"spread":0.2102510289624789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004829252,0.0006159305,0.0005028975,0.0004530798,0.0003813436,0.0007571046,0.001146809,0.0007889201,0.003080284],"category_scores_gemma":[0.0008498398,0.0003767345,0.000929744,0.0002704987,0.0003921111,0.0004515486,0.0006911159,0.0006646234,0.000411219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370266,"about_ca_system_score_gemma":0.001085494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488852,"about_ca_topic_score_gemma":0.003018647,"domain_scores_codex":[0.9997877,0.00005919485,0.000009651808,0.00002394705,0.00009710181,0.00002230687],"domain_scores_gemma":[0.9997296,0.0001191582,0.00003113221,0.00004112761,0.00006367126,0.00001544025],"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":[0.00003083175,0.0000444028,0.0004447258,0.00007297955,0.00002344992,0.00003953653,0.00003784465,0.9742665,0.0065249,0.006306121,0.0002508652,0.01195778],"study_design_scores_gemma":[0.000005856712,0.00002384997,0.00006354252,0.000004769672,0.000003991383,0.000008737343,0.000005305094,0.996318,0.001460065,0.0005675952,0.001535403,0.000002933335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03150347,0.0001766425,0.956163,0.0001041666,0.00006006492,0.0001484429,0.0001206496,0.0006935794,0.01102992],"genre_scores_gemma":[0.4978132,0.0003410736,0.4944392,0.00008308561,0.0000387098,0.0005878297,0.0002526893,0.0002479434,0.006196073],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003080284,"threshold_uncertainty_score":0.01030457,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2189508818","doi":"","title":"Shell element simulation of the push method of tube bending","year":2006,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Finite element method; Bending; Shell (structure); Materials science; Tube (container); Parametric statistics; Structural engineering; Lubrication; Work (physics); Mechanical engineering; Composite material; Engineering; Mathematics","authors":[{"name":"Y. Zhang","is_ca":true},{"name":"D. Redekop","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00538195694485794,"gpt":0.2186866964317019,"spread":0.2133047394868439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002315934,0.0002613619,0.0003303952,0.0002215321,0.0002581868,0.0003743778,0.0005545391,0.0007641959,0.003575247],"category_scores_gemma":[0.0006408258,0.0002149642,0.0004465492,0.000156048,0.0003757016,0.000252736,0.0004083684,0.0003006513,0.0004898121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002310425,"about_ca_system_score_gemma":0.0005024272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003035632,"about_ca_topic_score_gemma":0.002325459,"domain_scores_codex":[0.9998885,0.00002447898,0.000004479406,0.000009215212,0.00005709865,0.00001615312],"domain_scores_gemma":[0.9997588,0.0001226933,0.00002347041,0.00002427273,0.00005249089,0.00001838731],"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":[0.00009826155,0.00003765079,0.00111294,0.00008137132,0.00001507397,0.0001454963,0.0001237541,0.9684627,0.01755594,0.00422042,0.0002875253,0.007858826],"study_design_scores_gemma":[0.000006156816,0.00002413424,0.0001459057,0.000004418176,0.000002231502,0.00001906839,0.00001357236,0.9965944,0.002302679,0.0001807956,0.0007031618,0.000003524782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4942834,0.000177398,0.471312,0.0001536579,0.0000838259,0.0001764949,0.0003856905,0.001098174,0.03232923],"genre_scores_gemma":[0.926188,0.0001028821,0.06392041,0.00003221401,0.000006189386,0.0001231456,0.0002180265,0.000138054,0.009271176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003575247,"threshold_uncertainty_score":0.01196033,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102543662","doi":"","title":"Energy saving in milk processing","year":2009,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Visualization; Pasteurization; Electricity; Production line; Process engineering; Engineering; Computer science; Waste management; Environmental science; Food science; Electrical engineering; Mechanical engineering; Chemistry","authors":[{"name":"M. Janžekovič","is_ca":false},{"name":"B. Muršec","is_ca":false},{"name":"P. Vindiš","is_ca":false},{"name":"Franc Čuš","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007247024474862004,"gpt":0.1920728171828783,"spread":0.1848257927080163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001864226,0.000291076,0.000170966,0.0006350166,0.0002160901,0.0004870739,0.000420377,0.0003859933,0.006911833],"category_scores_gemma":[0.0003175288,0.00008009961,0.0002238522,0.0008288713,0.000154652,0.0005893127,0.0004774773,0.0001938461,0.0009531085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819373,"about_ca_system_score_gemma":0.0001996219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004561633,"about_ca_topic_score_gemma":0.0007496721,"domain_scores_codex":[0.9997976,0.00003853938,0.000007758763,0.00003471054,0.00009313939,0.00002834107],"domain_scores_gemma":[0.9999156,0.00002878422,0.00001409962,0.000009977734,0.00002809224,0.000003493487],"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":[0.001381302,0.0004478752,0.01285251,0.002318172,0.0001475098,0.0007785882,0.0002095757,0.01758599,0.2238705,0.01480582,0.005552146,0.72005],"study_design_scores_gemma":[0.00009272125,0.001573246,0.0503344,0.0005810956,0.0003358966,0.001653926,0.0008079247,0.02265836,0.6558177,0.0249271,0.2411413,0.00007631262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8525355,0.03923964,0.0473941,0.002282436,0.0004721393,0.0001121449,0.001070817,0.0004495336,0.05644378],"genre_scores_gemma":[0.9767195,0.005744131,0.008456764,0.0001471526,0.00005675824,0.00002785009,0.0004661981,0.00005031154,0.008331413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006911833,"threshold_uncertainty_score":0.02312243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2100428166","doi":"","title":"Effect of tool cutter immersion on Al-Si bi-metallic materials in High-Speed-Milling","year":2006,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; Brockhouse Institute for Materials Research; University of Windsor","funders":"","keywords":"Materials science; Immersion (mathematics); Metallurgy; High-speed steel; Metal; Mechanical engineering; Composite material; Engineering; Geometry","authors":[{"name":"J. H. Sokołowski","is_ca":true},{"name":"Daniel Szablewski","is_ca":true},{"name":"W. Kasprzak","is_ca":true},{"name":"E. Ng","is_ca":true},{"name":"Mihaela Dumitrescu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002825220312362365,"gpt":0.2006554688694382,"spread":0.1978302485570758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003727154,0.000304319,0.0003798923,0.0001720537,0.0002880745,0.0006492179,0.0003287529,0.0004499099,0.00225598],"category_scores_gemma":[0.001008318,0.000416476,0.000216209,0.0002318371,0.000414141,0.0005895158,0.0003358513,0.0004243159,0.0002099736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031269,"about_ca_system_score_gemma":0.0002767755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007314793,"about_ca_topic_score_gemma":0.001634438,"domain_scores_codex":[0.9997314,0.00003919546,0.00002060187,0.00006509073,0.00007948016,0.00006422991],"domain_scores_gemma":[0.9989817,0.0004589325,0.000198762,0.0000717691,0.0002003669,0.00008838643],"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":[0.0009017038,0.00003250424,0.000329972,0.00008275778,0.00001031106,0.00005638641,0.00009126269,0.0002434932,0.99603,0.00005756727,0.00004493056,0.002119115],"study_design_scores_gemma":[0.00002162105,0.0003019796,0.001823001,0.000004301838,0.00001451656,0.00002703477,0.00004050905,0.0007266483,0.9967743,0.00001358453,0.0002460793,0.000006492794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979826,0.0005109299,0.0007481061,0.00002878924,0.00002109965,0.000006835814,0.00004523831,0.00004889305,0.0006074695],"genre_scores_gemma":[0.9984773,0.0001486287,0.0007200342,0.00001439959,0.000005729117,0.000003612285,0.00003637603,0.00004172183,0.0005521902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00225598,"threshold_uncertainty_score":0.007547021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109148711","doi":"","title":"A Case Based Reasoning aluminium thermal analysis platform for the prediction of W319 Al cast component characteristics","year":2009,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":8,"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":"Component (thermodynamics); Casting; Automotive industry; Computer science; Aluminium; Case-based reasoning; Process (computing); Mechanical engineering; Manufacturing engineering; Engineering; Artificial intelligence; Materials science; Metallurgy","authors":[{"name":"G. Urbicain","is_ca":true},{"name":"J. H. Sokołowski","is_ca":false},{"name":"R. Lashkari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01013976465646999,"gpt":0.2049359310691857,"spread":0.1947961664127157,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009864725,0.0006245325,0.0003396645,0.001186087,0.0004003572,0.001145893,0.001405177,0.0008524269,0.005189629],"category_scores_gemma":[0.003266482,0.0003225761,0.0005276245,0.0004693336,0.000410614,0.0009331382,0.0006083786,0.0005090888,0.0007194445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007393612,"about_ca_system_score_gemma":0.001296203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006012925,"about_ca_topic_score_gemma":0.005018771,"domain_scores_codex":[0.9995172,0.0001269536,0.00003506093,0.0001040775,0.0001878045,0.00002895774],"domain_scores_gemma":[0.9990107,0.0005111242,0.000090389,0.0001519137,0.0001907381,0.00004505501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000780228,0.001165778,0.006289261,0.0003680371,0.0001063322,0.00288147,0.0007433895,0.3845494,0.06482826,0.01849913,0.007524647,0.5122642],"study_design_scores_gemma":[0.0000990202,0.000129464,0.001399232,0.00004049165,0.00004557434,0.0003802743,0.00009350355,0.9771747,0.01252269,0.003321406,0.004769243,0.00002436508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1460411,0.0001684171,0.838644,0.00032647,0.00003893742,0.0007457613,0.0005102746,0.004718668,0.008806297],"genre_scores_gemma":[0.4588021,0.0001417793,0.5364382,0.00004775285,0.00001239321,0.0002753143,0.000828688,0.00007149449,0.003382231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006012925,"threshold_uncertainty_score":0.01736104,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1600872332","doi":"","title":"Modelling of mechanical properties of Al-Si-Cu cast alloys using the neural network","year":2007,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Materials science; Indentation hardness; Artificial neural network; Casting; Vickers hardness test; Metallurgy; Universal testing machine; Ceramic; Rockwell scale; Mechanical engineering; Composite material; Ultimate tensile strength; Computer science; Engineering; Microstructure; Machine learning","authors":[{"name":"L. A. Dobrzański","is_ca":false},{"name":"R. Maniara","is_ca":false},{"name":"J. H. Sokołowski","is_ca":false},{"name":"M. Krupiński","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02172261978960057,"gpt":0.203758014469157,"spread":0.1820353946795564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798784,0.0005100364,0.0002921264,0.0003903688,0.0002326087,0.0004547106,0.0004809904,0.0005895829,0.001145156],"category_scores_gemma":[0.0004357109,0.0002460977,0.0005028201,0.0002886896,0.0001660895,0.0003516478,0.0001514615,0.0003289287,0.0002381597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004362161,"about_ca_system_score_gemma":0.0004966105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005368,"about_ca_topic_score_gemma":0.009089963,"domain_scores_codex":[0.9999096,0.00001768392,0.000006291365,0.00001820731,0.00003870651,0.000009440081],"domain_scores_gemma":[0.9998918,0.00005037504,0.00001447063,0.000008183076,0.00003159345,0.000003704932],"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":[0.00002558057,0.00002222873,0.0008844957,0.00004158738,0.0000143196,0.00003261561,0.00001663423,0.9832199,0.003903284,0.0003603838,0.00009733583,0.01138157],"study_design_scores_gemma":[6.823341e-7,0.000008379533,0.0002649227,0.000001958203,0.000002137884,0.000003731358,0.000001962604,0.9989581,0.0005700362,0.00007185768,0.0001147279,0.000001449446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3911474,0.001239526,0.5918333,0.0002359914,0.000102284,0.0001036817,0.0003032542,0.0009376797,0.01409687],"genre_scores_gemma":[0.9723706,0.0003934568,0.02267256,0.0000131512,0.00001145913,0.00007412799,0.0001789782,0.00002178249,0.00426398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01005368,"threshold_uncertainty_score":0.01999027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138169823","doi":"","title":"Cooling curve and microchemical phase analysis of rapidly quenched magnesium AM60B and AE44 alloys","year":2013,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada; Western University; University of Windsor","funders":"","keywords":"Cooling curve; Materials science; Equiaxed crystals; Microstructure; Eutectic system; Nucleation; Metallurgy; Alloy; Casting; Magnesium alloy; Die casting; Phase (matter); Magnesium; Thermodynamics; Chemistry","authors":[{"name":"Adam J. Gesing","is_ca":false},{"name":"J. H. Sokołowski","is_ca":true},{"name":"Paul Marchwica","is_ca":true},{"name":"Carsten Blawert","is_ca":false},{"name":"J. Jekl","is_ca":false},{"name":"Mark Kozdras","is_ca":true},{"name":"Michael Kasprzak","is_ca":false},{"name":"J.T. Wood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007391862577110272,"gpt":0.2203109394922319,"spread":0.2129190769151216,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001075056,0.0001938206,0.0002042801,0.0003724821,0.000141187,0.0001374425,0.0002507276,0.0001769853,0.001564545],"category_scores_gemma":[0.0002694203,0.0001286481,0.0001498708,0.0002502407,0.0001994309,0.0001417812,0.00009479776,0.0002112963,0.0002435738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002492183,"about_ca_system_score_gemma":0.0001451623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015579,"about_ca_topic_score_gemma":0.002796216,"domain_scores_codex":[0.9998804,0.000008108292,0.000005519228,0.0000276785,0.00006496027,0.00001336467],"domain_scores_gemma":[0.9998272,0.00002859863,0.00004475129,0.00001740298,0.00007261607,0.000009532144],"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":[0.00008817598,0.000007516683,0.001389252,0.00002556639,0.000003235152,0.00002792481,0.00003670586,0.0001889547,0.9961604,0.00003310433,0.00001943872,0.002019679],"study_design_scores_gemma":[0.000003389712,0.0001886021,0.02699806,0.000003252818,0.000007879536,0.00007074311,0.00002987273,0.001806383,0.9701592,0.00001954867,0.0007079667,0.000005128295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953413,0.0002648599,0.002896966,0.00001366617,0.000005045391,0.00001825551,0.0004095128,0.00008115343,0.0009692156],"genre_scores_gemma":[0.9949492,0.0001434165,0.003230897,0.00001113579,0.000003885191,0.00002402437,0.0003987559,0.00004421068,0.001194529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002015579,"threshold_uncertainty_score":0.005233884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965232939","doi":"10.5604/01.3001.0013.3182","title":"In-situ formed, ultrafine Al-Si compositematerials: ductility","year":2019,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":2,"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":"Materials science; Ultimate tensile strength; Alloy; Ductility (Earth science); Toughness; Metallurgy; Composite number; Whiskers; Casting; Silicon; Composite material; Indentation hardness; Microstructure; Creep","authors":[{"name":"Peter Guba","is_ca":true},{"name":"Adam J. Gesing","is_ca":false},{"name":"Jerzy Sokołowski","is_ca":true},{"name":"A. Conle","is_ca":true},{"name":"Andrzej Sobiesiak","is_ca":true},{"name":"Subhasish Das","is_ca":false},{"name":"Michael Kasprzak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005845438271538632,"gpt":0.1947637601419456,"spread":0.188918321870407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001632972,0.0002188964,0.0001125648,0.0001844724,0.0001358286,0.000267568,0.0002193651,0.0002059106,0.0009523687],"category_scores_gemma":[0.0001204449,0.0001668464,0.0001303399,0.0001186159,0.0001876762,0.0001806134,0.0001202056,0.0002871611,0.0002915601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003102761,"about_ca_system_score_gemma":0.0001728128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002988751,"about_ca_topic_score_gemma":0.002146468,"domain_scores_codex":[0.9998883,0.000007180742,0.000006448788,0.00003251336,0.00005193533,0.00001355475],"domain_scores_gemma":[0.9998451,0.00001926251,0.00005717224,0.00002011641,0.00004452413,0.00001367809],"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":[0.00001164327,0.000007218808,0.0001483401,0.00003296306,0.000001713493,0.000008957755,0.000008887113,0.0001930079,0.9987256,0.00004470053,0.00001477441,0.00080213],"study_design_scores_gemma":[0.000001287088,0.00005149947,0.0007802887,0.000001257608,0.000003532009,0.00002905425,0.000006199105,0.0007731318,0.9978724,0.000009754747,0.0004701446,0.000001470898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865246,0.0004318996,0.01037247,0.00002304423,0.00001390927,0.00001847791,0.0001208365,0.0001352991,0.002359421],"genre_scores_gemma":[0.9903172,0.0001347936,0.007334594,0.000009209389,0.000004035739,0.00001005223,0.00008492591,0.00002776193,0.002077377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009523687,"threshold_uncertainty_score":0.003185987,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782387825","doi":"10.5604/01.3001.0010.7564","title":"In situ-formed, low-cost, Al-Sinanocomposite materials","year":2017,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":1,"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":"Materials science; Metallurgy; Microstructure; Foundry; Alloy; Casting; Ductility (Earth science); Equiaxed crystals; Silicon; Toughness; Nanocomposite; Spinodal; Intermetallic; Die casting; Aluminium; Composite material; Creep; Phase (matter)","authors":[{"name":"Peter Guba","is_ca":true},{"name":"Adam J. Gesing","is_ca":false},{"name":"Jerzy Sokołowski","is_ca":true},{"name":"A. Conle","is_ca":true},{"name":"Andrzej Sobiesiak","is_ca":true},{"name":"S. Das","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008239683817782754,"gpt":0.215264078474626,"spread":0.2070243946568433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000881926,0.0002562572,0.000110338,0.0001988175,0.0001077266,0.000186751,0.0002185284,0.0002040932,0.001258602],"category_scores_gemma":[0.00008184702,0.0001613471,0.0001216007,0.0001072944,0.0001200863,0.0001488924,0.0001034497,0.0002741952,0.000527836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605764,"about_ca_system_score_gemma":0.0001475558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002970146,"about_ca_topic_score_gemma":0.001876515,"domain_scores_codex":[0.9999135,0.000004417604,0.000003365406,0.00002119894,0.00004855976,0.000009077865],"domain_scores_gemma":[0.9999357,0.000007762529,0.0000254392,0.000009346999,0.00001463324,0.000007129685],"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":[0.000009495954,0.000007193185,0.00008929327,0.00002602347,8.612124e-7,0.00001790658,0.000005483409,0.0000676932,0.998705,0.0000777336,0.00002301531,0.0009702867],"study_design_scores_gemma":[0.00000175089,0.00005943099,0.0007171389,0.000001793594,0.00000241465,0.00004955484,0.00000858537,0.0004553907,0.997012,0.00001088171,0.001679828,0.000001211696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783437,0.0009045355,0.0127124,0.00003563546,0.00005487831,0.00007050905,0.0004385384,0.0002482217,0.007191628],"genre_scores_gemma":[0.9765471,0.0003710089,0.01697204,0.0000192056,0.000009579817,0.00005192429,0.0003433723,0.0000426529,0.005643143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258602,"threshold_uncertainty_score":0.004210472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105764308","doi":"","title":"Justification of replacement of pasteurization equipment in dairy","year":2008,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Pasteurization; Raw milk; Food science; Environmental science; Biology","authors":[{"name":"M. Janžekovič","is_ca":false},{"name":"B. Muršec","is_ca":false},{"name":"P. Vindiš","is_ca":false},{"name":"Franc Čuš","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02581731578310512,"gpt":0.2193636357115242,"spread":0.1935463199284191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004278651,0.0003533055,0.0002039828,0.0006188839,0.0004975717,0.001156437,0.00160873,0.001274882,0.004666839],"category_scores_gemma":[0.01569559,0.0001373521,0.0003713857,0.0005521954,0.0006245623,0.0007865248,0.0005838823,0.0007956363,0.0006759826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762431,"about_ca_system_score_gemma":0.002466809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003165634,"about_ca_topic_score_gemma":0.002378929,"domain_scores_codex":[0.9928462,0.002245531,0.0004752018,0.0007262726,0.003299031,0.0004077271],"domain_scores_gemma":[0.9833266,0.007161156,0.003217696,0.001244862,0.004505948,0.0005436183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004338551,0.00118084,0.2138727,0.005181849,0.0002061466,0.002280827,0.002114413,0.004476613,0.07663417,0.01469218,0.01645466,0.658567],"study_design_scores_gemma":[0.0002391537,0.008284101,0.4981804,0.004831551,0.0006609166,0.003744127,0.005872406,0.008034072,0.122502,0.004332736,0.343159,0.0001596473],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086373,0.02478577,0.0103584,0.01302554,0.001363946,0.0002814884,0.0005219071,0.0003243443,0.04070128],"genre_scores_gemma":[0.9816548,0.002973861,0.008795829,0.001444008,0.0002583926,0.0000778321,0.0002087765,0.00004660545,0.004539832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004666839,"threshold_uncertainty_score":0.02262789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417364327","doi":"10.5604/01.3001.0055.4368","title":"Influence of interface notch geometry on the tensile behaviour of FGF-printed parts","year":2025,"lang":"en","type":"article","venue":"Journal of Achievements of Materials and Manufacturing Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":1,"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","funders":"","keywords":"Ultimate tensile strength; Digital image correlation; Thermoplastic; Tensile strain; Layer (electronics); Tensile testing; Interface (matter); Indentation","authors":[{"name":"Maryam Shokrollahi","is_ca":true},{"name":"Adam W. Smith","is_ca":true},{"name":"Martine Dubé","is_ca":true},{"name":"Ilyass Tabiai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007235690196051848,"gpt":0.2167023084041374,"spread":0.2094666182080855,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003026244,0.0002866922,0.0001878255,0.0001903013,0.0001204582,0.000483202,0.0002208515,0.0003344963,0.001340331],"category_scores_gemma":[0.0008022889,0.0001800045,0.0001969462,0.0001569135,0.0002858767,0.0002284553,0.0002112046,0.0002740763,0.0002816281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001958156,"about_ca_system_score_gemma":0.00006694902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003441333,"about_ca_topic_score_gemma":0.000967833,"domain_scores_codex":[0.9996618,0.00002961511,0.00002958886,0.00005135017,0.0001862955,0.00004142935],"domain_scores_gemma":[0.99919,0.000297993,0.0002299192,0.0001044926,0.0001375156,0.00004011264],"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":[0.00006946644,0.000008092616,0.0007228389,0.00003613494,0.000005401054,0.0001293486,0.00003243177,0.0007172413,0.9955158,0.00001787607,0.00002478668,0.002720566],"study_design_scores_gemma":[0.000002619739,0.0002363049,0.01176816,0.00000571994,0.000009558638,0.0001125309,0.00004112246,0.002167541,0.9852028,0.000009954312,0.0004363669,0.000007341887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975073,0.0001404631,0.001589485,0.00001017217,0.00001196125,0.000005009974,0.00007672267,0.00005018517,0.0006086872],"genre_scores_gemma":[0.9973967,0.00007089618,0.00188692,0.00001078602,0.000002049014,0.000004878149,0.00005881941,0.00002289717,0.0005460384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001340331,"threshold_uncertainty_score":0.004483879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}