{"meta":{"query_hash":"7a38dd09ebf1","filters":{"venue":"MATTER International Journal of Science and Technology"},"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/7a38dd09ebf1","api":"https://metacan.xera.ac/api/v1/cohort?venue=MATTER+International+Journal+of+Science+and+Technology"},"results":[{"id":"W2619247922","doi":"10.20319/mijst.2016.s11.0116","title":"CAPACITANCE MONITORING SYSTEM FOR ELECTROSTATIC WIND ENERGY HARVESTER","year":2017,"lang":"en","type":"article","venue":"MATTER International Journal of Science and Technology","topic":"Innovative Energy Harvesting Technologies","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":"University of Windsor","funders":"","keywords":"Capacitance; Microcontroller; Electrical engineering; Supercapacitor; Capacitance probe; Parasitic capacitance; Energy harvesting; Energy (signal processing); Engineering; Automotive engineering; Voltage; Capacitor; Physics; Electrode","score_opus":0.012320727491031263,"score_gpt":0.2538024578762287,"score_spread":0.2414817303851974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619247922","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23944679,0.0026578717,0.74080795,0.000892776,0.0005688929,0.00035927835,0.00047428638,0.007122955,0.0076691415],"genre_scores_gemma":[0.93080705,0.00057621504,0.06084875,0.0003693758,0.0001459076,0.00013180597,0.00019737643,0.00007670772,0.006846813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959975,0.000041279283,0.000025048612,0.00011673603,0.00019470605,0.000022459813],"domain_scores_gemma":[0.999653,0.0000770705,0.0000669076,0.000039530907,0.00014160841,0.000021997143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026570182,0.00028126556,0.00039044488,0.0004635639,0.00038638135,0.00041356284,0.00096689013,0.00062633416,0.0024022805],"category_scores_gemma":[0.00065498776,0.00017021711,0.0001680697,0.00033784477,0.00017160688,0.000963115,0.00036182438,0.0003435336,0.00049241417],"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":[0.0003225716,0.000069481604,0.0018340679,0.00041096218,0.000038530536,0.0004933975,0.00023251092,0.0034652173,0.82686496,0.0018456024,0.0038406735,0.16058193],"study_design_scores_gemma":[0.00012657032,0.0014768436,0.01259514,0.00009824308,0.00017249057,0.0031935314,0.00011963466,0.14523782,0.79274845,0.0015075819,0.042553343,0.00017039193],"about_ca_topic_score_codex":0.00034648576,"about_ca_topic_score_gemma":0.00040458117,"teacher_disagreement_score":0.0024022805,"about_ca_system_score_codex":0.0002913617,"about_ca_system_score_gemma":0.00027329897,"threshold_uncertainty_score":0.008036435},"labels":[],"label_agreement":null},{"id":"W2619250075","doi":"10.20319/mijst.2015.12.5772","title":"CORROSION PROTECTION OF STAINLESS STEEL TYPE 304 USING GRAPHENE COMPOSITES","year":2017,"lang":"en","type":"article","venue":"MATTER International Journal of Science and Technology","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":1,"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 Waterloo","funders":"","keywords":"Materials science; Graphene; Dielectric spectroscopy; Composite material; Corrosion; Polyetherimide; Scanning electron microscope; Curing (chemistry); Electrochemistry; Composite number; Electrode; Nanotechnology; Polymer","score_opus":0.029367052639874235,"score_gpt":0.3072322796282273,"score_spread":0.2778652269883531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619250075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955244,0.00085928355,0.0016904458,0.000031946507,0.00002516177,0.000013972803,0.00015680984,0.00008027415,0.0016177124],"genre_scores_gemma":[0.99475384,0.00053484034,0.002432962,0.000020942922,0.0000041239296,0.000007470406,0.00018462025,0.000011255143,0.0020497942],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985516,0.000015672986,0.000010604793,0.000024220408,0.000063661595,0.000030668165],"domain_scores_gemma":[0.9999194,0.000008292495,0.000017423848,0.000009586458,0.000032912005,0.000012365778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009488395,0.00045223394,0.0001997737,0.00029937908,0.00012864792,0.0001268669,0.00027478483,0.00038295615,0.0009011204],"category_scores_gemma":[0.00014452751,0.0002026066,0.0003277508,0.00020721897,0.000080631005,0.00014914194,0.0001376007,0.00024454365,0.00034705087],"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":[0.000021921302,0.000005133424,0.00005681654,0.000025740095,0.0000024881779,0.000044049364,0.0000041043,0.00006204561,0.99897575,0.000010015908,0.00002378761,0.00076822465],"study_design_scores_gemma":[0.0000025896306,0.00023316848,0.0031373869,0.0000048351976,0.000011167947,0.00014166869,0.000013989802,0.0006665669,0.99504495,0.000010772175,0.00072658615,0.000006312171],"about_ca_topic_score_codex":0.0012337657,"about_ca_topic_score_gemma":0.0027979785,"teacher_disagreement_score":0.0012337657,"about_ca_system_score_codex":0.00017067982,"about_ca_system_score_gemma":0.00012898694,"threshold_uncertainty_score":0.0030145645},"labels":[],"label_agreement":null},{"id":"W4399981382","doi":"10.20319/mijst.2024.10.139154","title":"STRUCTURAL ANALYSIS OF A LIGHTWEIGHT ELECTRIC VEHICLE CHASSIS","year":2024,"lang":"en","type":"article","venue":"MATTER International Journal of Science and Technology","topic":"Advanced Battery Technologies Research","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":"University of Manitoba","funders":"","keywords":"Chassis; Structural engineering; Finite element method; Shock (circulatory); Deformation (meteorology); Automotive engineering; Vibration; Stress (linguistics); Materials science; Engineering; Composite material; Physics; Acoustics","score_opus":0.007912531143900697,"score_gpt":0.27915322234065887,"score_spread":0.2712406911967582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399981382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8496217,0.00022598547,0.12269833,0.00010963047,0.00002712132,0.00007953243,0.00028267293,0.00027716774,0.026677867],"genre_scores_gemma":[0.9901225,0.000070399525,0.0048837797,0.000009340765,0.0000036726929,0.000022497672,0.00015503007,0.000013681765,0.004719181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999876,0.00001080353,0.000003609107,0.000019549703,0.00006690818,0.00002316116],"domain_scores_gemma":[0.9999026,0.000016641947,0.000014971361,0.000012422423,0.00004421807,0.000009077525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119971395,0.00034669705,0.00029424342,0.00064284325,0.00033824408,0.00041925584,0.00042477768,0.00045713372,0.0023773343],"category_scores_gemma":[0.00019715418,0.00025122153,0.00030970035,0.00023985947,0.00035848466,0.00020873078,0.0002701418,0.00016637381,0.00049255876],"study_design_candidate":"bench_or_experimental","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":[0.00014454438,0.000064872445,0.00575152,0.00012387459,0.000032833017,0.00047237202,0.00015508474,0.6665388,0.2746019,0.0058693006,0.00043911638,0.045805804],"study_design_scores_gemma":[0.000010913351,0.00032433606,0.011005206,0.000014116611,0.000022721768,0.00014652009,0.00018255669,0.9598858,0.023298815,0.0009998984,0.0040895324,0.000019629932],"about_ca_topic_score_codex":0.004358732,"about_ca_topic_score_gemma":0.0042932257,"teacher_disagreement_score":0.004358732,"about_ca_system_score_codex":0.00047363486,"about_ca_system_score_gemma":0.0005890137,"threshold_uncertainty_score":0.008666754},"labels":[],"label_agreement":null},{"id":"W4409781570","doi":"10.20319/icstr.2025.9394","title":"ADVANCED VERSION OF IEEE802.15.6 BASED ON COMPRESSED SENSING FOR INTELLIGENT BODY SENSOR NETWORKS","year":2025,"lang":"en","type":"article","venue":"MATTER International Journal of Science and Technology","topic":"Wireless Body Area Networks","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":"Georgian College","funders":"","keywords":"Computer science; Compressed sensing; Wireless sensor network; Artificial intelligence; Computer network","score_opus":0.0047805168832245944,"score_gpt":0.2389042315054682,"score_spread":0.2341237146222436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409781570","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010314951,0.010967931,0.9079907,0.0032999057,0.004601301,0.00066631864,0.0011731387,0.004356252,0.056629542],"genre_scores_gemma":[0.4206163,0.018944688,0.40692565,0.0048720636,0.004060696,0.0017262886,0.005673853,0.0006830463,0.13649751],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986683,0.000265616,0.00012072205,0.00016693886,0.000671618,0.00010680713],"domain_scores_gemma":[0.99851745,0.00019139334,0.000109036206,0.00018598164,0.0009291232,0.000066952045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010698675,0.0008192772,0.00044177647,0.00084492494,0.00040124095,0.0008947802,0.0010580305,0.0015605608,0.008084804],"category_scores_gemma":[0.0024773062,0.00020264022,0.00037783812,0.0008696089,0.00058464793,0.001562252,0.00083707523,0.0020697638,0.003943659],"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":[0.0007524643,0.0001735527,0.0012656808,0.0011000903,0.00010397479,0.00044146928,0.00036392413,0.016319463,0.101082996,0.11742142,0.10932372,0.65165126],"study_design_scores_gemma":[0.00014443495,0.0011376009,0.002558804,0.00041181137,0.000104683575,0.0019981842,0.00011576282,0.14605434,0.06574097,0.02612719,0.7553788,0.00022741669],"about_ca_topic_score_codex":0.0016643086,"about_ca_topic_score_gemma":0.0012853874,"teacher_disagreement_score":0.008084804,"about_ca_system_score_codex":0.0006519979,"about_ca_system_score_gemma":0.0010039136,"threshold_uncertainty_score":0.027046382},"labels":[],"label_agreement":null},{"id":"W4412882903","doi":"10.20319/mijst.2024.102.3554","title":"STRUCTURAL ANALYSIS OF A LIGHTWEIGHT ELECTRIC VEHICLE CHASSIS","year":2024,"lang":"en","type":"article","venue":"MATTER International Journal of Science and Technology","topic":"Mechanical Engineering and Vibrations Research","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":"University of Manitoba","funders":"","keywords":"Chassis; Electric vehicle; Automotive engineering; Engineering; Computer science; Structural engineering; Physics; Power (physics)","score_opus":0.00730265668123527,"score_gpt":0.2651083190729459,"score_spread":0.25780566239171065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412882903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85978466,0.0002125022,0.11504763,0.000100448364,0.000024389941,0.00007193064,0.00024434234,0.0002578681,0.024256188],"genre_scores_gemma":[0.990704,0.000063639294,0.0047131027,0.000008873174,0.0000035068572,0.000020494967,0.00013812608,0.000012608797,0.004335573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999874,0.000011180741,0.0000035163648,0.000019739895,0.000067545436,0.000023879127],"domain_scores_gemma":[0.9999038,0.000016824975,0.000015200315,0.000011984107,0.00004293152,0.000009173702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011636366,0.00034950557,0.0002946238,0.00062569603,0.00033437103,0.00041034343,0.00040729754,0.00045325764,0.0022762595],"category_scores_gemma":[0.00019309088,0.00024985019,0.00030074792,0.00022980123,0.00035721864,0.00019607868,0.00027254203,0.00016884744,0.00046004137],"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":[0.00014635232,0.00006476519,0.005776513,0.00012360472,0.000031944877,0.00046612468,0.00014947957,0.6545032,0.28829816,0.0053658145,0.0004082135,0.044665895],"study_design_scores_gemma":[0.0000111262525,0.00033191414,0.011643051,0.000013660802,0.00002232104,0.00014238684,0.00017980683,0.96034634,0.02261139,0.0009230654,0.0037556519,0.000019333174],"about_ca_topic_score_codex":0.0044393125,"about_ca_topic_score_gemma":0.0043832064,"teacher_disagreement_score":0.0044393125,"about_ca_system_score_codex":0.00046983405,"about_ca_system_score_gemma":0.0005775727,"threshold_uncertainty_score":0.008826971},"labels":[],"label_agreement":null}]}