{"meta":{"query_hash":"3533f5218ca1","filters":{"venue":"Multidisciplinary Journal of Research in Engineering and Technology"},"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/3533f5218ca1","api":"https://metacan.xera.ac/api/v1/cohort?venue=Multidisciplinary+Journal+of+Research+in+Engineering+and+Technology"},"results":[{"id":"W7133326063","doi":"10.65521/mjret.v9i1.1149","title":"Women’s Safety System","year":2022,"lang":"","type":"article","venue":"Multidisciplinary Journal of Research in Engineering and Technology","topic":"IoT and GPS-based Vehicle Safety Systems","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":"WSP (Canada)","funders":"","keywords":"Global Positioning System; Android (operating system); Smart phone; Event (particle physics); Phone; Security system; Mobile phone; System safety","score_opus":0.021610861274762225,"score_gpt":0.2864634421802171,"score_spread":0.2648525809054548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133326063","genre_codex":"other","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":[0.020521626,0.0026850847,0.028215313,0.008607801,0.0030547471,0.0013674741,0.028046895,0.049407504,0.8580935],"genre_scores_gemma":[0.18817449,0.0025809007,0.014949634,0.0084356805,0.0010992652,0.0020745222,0.022731066,0.0042377217,0.75571686],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992895,0.00012656728,0.00006308994,0.00013679183,0.0002602357,0.00012366283],"domain_scores_gemma":[0.9983974,0.00025070136,0.000111608606,0.00014636954,0.0008596661,0.00023425613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009113885,0.000674481,0.00048303066,0.0012015289,0.001220211,0.0016662595,0.00092974456,0.0010276175,0.21870786],"category_scores_gemma":[0.0037559774,0.0002493692,0.00034756938,0.0006612026,0.00029843266,0.0011128581,0.0019116102,0.00066603994,0.11332109],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005421824,0.0001098788,0.0059550167,0.0005150488,0.00002530552,0.00033704372,0.0014641301,0.00013653317,0.0030669866,0.008708843,0.75023794,0.22890101],"study_design_scores_gemma":[0.000041377887,0.00007769817,0.0021496126,0.000107778615,0.000016362346,0.0002141803,0.00024390021,0.00028238064,0.0014658534,0.0011024033,0.9942735,0.00002499282],"about_ca_topic_score_codex":0.0029204616,"about_ca_topic_score_gemma":0.0027551006,"teacher_disagreement_score":0.21870786,"about_ca_system_score_codex":0.0005994353,"about_ca_system_score_gemma":0.0017251767,"threshold_uncertainty_score":0.7316507},"labels":[],"label_agreement":null},{"id":"W7133349298","doi":"10.65521/mjret.v9i3.1216","title":"Wheat Kernel Classification Using Machine Learning","year":2022,"lang":"","type":"article","venue":"Multidisciplinary Journal of Research in Engineering and Technology","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"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":"Support vector machine; Linear classifier; Structured support vector machine; Boosting (machine learning); Classifier (UML); Binary classification; Decision tree; One-class classification; Supervised learning; Gradient boosting","score_opus":0.06326751532442722,"score_gpt":0.318435844727934,"score_spread":0.2551683294035068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133349298","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":[0.07575807,0.0009838371,0.9115347,0.00021971324,0.00019642165,0.0001488971,0.0009335894,0.0043795467,0.0058451397],"genre_scores_gemma":[0.6788152,0.0008247607,0.30851746,0.00010045428,0.00010132958,0.00015842414,0.004447505,0.0002788834,0.006756014],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991418,0.000115244,0.000084775755,0.00026811342,0.00029320872,0.00009677715],"domain_scores_gemma":[0.9992617,0.00017551136,0.000092016955,0.00015018527,0.00029205775,0.000028571823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006797836,0.00078386365,0.00091145886,0.003037142,0.0003778781,0.0017808091,0.0008803785,0.00085581705,0.002060296],"category_scores_gemma":[0.0021646072,0.000223069,0.0012821559,0.0030829709,0.00030457383,0.0015198026,0.00080368185,0.00080504693,0.0018739233],"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":[0.00024329407,0.00025014576,0.010834081,0.00035580967,0.00020682608,0.00024539453,0.00014577173,0.06953223,0.020657167,0.005777576,0.0103515815,0.88140005],"study_design_scores_gemma":[0.000016531489,0.000102175734,0.010505794,0.000045148325,0.000063443505,0.00020237606,0.00017409427,0.94926435,0.019062636,0.008815289,0.011697671,0.00005048692],"about_ca_topic_score_codex":0.0022627627,"about_ca_topic_score_gemma":0.0016827127,"teacher_disagreement_score":0.003037142,"about_ca_system_score_codex":0.0005755841,"about_ca_system_score_gemma":0.0003995194,"threshold_uncertainty_score":0.006892383},"labels":[],"label_agreement":null},{"id":"W7133357600","doi":"10.65521/mjret.v9i2.1156","title":"Online Matrimonial Portal","year":2022,"lang":"","type":"article","venue":"Multidisciplinary Journal of Research in Engineering and Technology","topic":"Authorship Attribution and Profiling","field":"Computer Science","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":"WSP (Canada)","funders":"","keywords":"Service provider; Matching (statistics); Service (business); Variation (astronomy); Register (sociolinguistics); User profile","score_opus":0.053872985387168094,"score_gpt":0.36378262920120735,"score_spread":0.30990964381403924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133357600","genre_codex":"other","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":[0.007955928,0.0017245295,0.009153432,0.0020620853,0.0012042619,0.0005168265,0.081465885,0.097976536,0.79794055],"genre_scores_gemma":[0.06267035,0.0023712302,0.017441474,0.002670603,0.0017330925,0.0007049222,0.15551506,0.020383999,0.7365093],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931514,0.00016613741,0.000056035537,0.000084786174,0.00027211307,0.00010583838],"domain_scores_gemma":[0.99568033,0.0006846711,0.0003988848,0.0013225038,0.0008087797,0.0011047034],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011503334,0.00077482854,0.00051589793,0.0028813358,0.0010593523,0.0043734536,0.0014640836,0.0009947631,0.4513571],"category_scores_gemma":[0.006710487,0.0003190974,0.0003888295,0.0037628103,0.00024821353,0.004126664,0.0029323814,0.0009536334,0.39803696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021652727,0.000114059854,0.0008803602,0.00036190532,0.0000069559314,0.00023419729,0.00025185486,0.00005249133,0.0010647951,0.0050579645,0.9159342,0.07582457],"study_design_scores_gemma":[0.000017341406,0.000023925368,0.0013958174,0.00006250946,0.000003381038,0.00021091654,0.00008666041,0.00021992883,0.0005960282,0.0014269266,0.9959403,0.000016161439],"about_ca_topic_score_codex":0.0008557302,"about_ca_topic_score_gemma":0.0014040525,"teacher_disagreement_score":0.4513571,"about_ca_system_score_codex":0.0004979529,"about_ca_system_score_gemma":0.0008775916,"threshold_uncertainty_score":0.7825725},"labels":[],"label_agreement":null},{"id":"W7133362845","doi":"10.65521/mjret.v9i3.1219","title":"Online Matrimonial Portal","year":2022,"lang":"","type":"article","venue":"Multidisciplinary Journal of Research in Engineering and Technology","topic":"Authorship Attribution and Profiling","field":"Computer Science","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":"WSP (Canada)","funders":"","keywords":"Service provider; Matching (statistics); Service (business); Variation (astronomy); Register (sociolinguistics); User profile","score_opus":0.053872985387168094,"score_gpt":0.36378262920120735,"score_spread":0.30990964381403924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133362845","genre_codex":"other","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":[0.008403064,0.0018192796,0.009589495,0.0021713844,0.0012775292,0.0005438228,0.08176593,0.099274665,0.7951549],"genre_scores_gemma":[0.06561899,0.00253286,0.018225942,0.0027548368,0.0018339797,0.0007470801,0.15645961,0.020568473,0.73125833],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930286,0.00017153188,0.00005772885,0.000084689455,0.000274559,0.00010855483],"domain_scores_gemma":[0.99566805,0.00068972073,0.0004101617,0.001314445,0.000816874,0.0011007335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011541381,0.0007611949,0.0005232697,0.0028585342,0.0010785995,0.004363944,0.001457115,0.0009995512,0.4373349],"category_scores_gemma":[0.0067779482,0.00031634068,0.00038875127,0.0038128905,0.00024881275,0.0041094045,0.0028997613,0.0009694061,0.38389516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002139705,0.00011623905,0.0008941633,0.00037758585,0.0000068789886,0.00024240764,0.00026396365,0.000052506486,0.0010584962,0.0051413,0.91530085,0.0763316],"study_design_scores_gemma":[0.00001680159,0.000023787708,0.0014233377,0.00006502462,0.0000034239586,0.00022223422,0.00009020314,0.000221052,0.0006028012,0.0014663123,0.99584854,0.000016364043],"about_ca_topic_score_codex":0.0008343664,"about_ca_topic_score_gemma":0.0013522183,"teacher_disagreement_score":0.4373349,"about_ca_system_score_codex":0.0004895721,"about_ca_system_score_gemma":0.00089201704,"threshold_uncertainty_score":0.80257344},"labels":[],"label_agreement":null}]}