{"meta":{"query_hash":"fbd8b1bd83f7","filters":{"venue":"Turkish Journal of Computer and Mathematics Education (TURCOMAT)"},"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/fbd8b1bd83f7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Turkish+Journal+of+Computer+and+Mathematics+Education+%28TURCOMAT%29"},"results":[{"id":"W3169031133","doi":"10.17762/turcomat.v12i10.4744","title":"The Use of Interactive Methods in Teaching the Russian in Technical Universities of Kazakhstan","year":2021,"lang":"en","type":"article","venue":"Turkish Journal of Computer and Mathematics Education (TURCOMAT)","topic":"Educational Innovations and Challenges","field":"Computer Science","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":"Agrarian society; Curriculum; Implementation; Political science; Mathematics education; Engineering management; Computer science; Engineering; Pedagogy; Agriculture; Sociology; Mathematics; Geography; Software engineering","score_opus":0.044704469678881704,"score_gpt":0.36723526508520066,"score_spread":0.32253079540631896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169031133","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":[0.8180541,0.0028809768,0.060323745,0.0019624871,0.00015684743,0.00037313625,0.000110759036,0.00046630914,0.115671635],"genre_scores_gemma":[0.95449024,0.001186833,0.034753866,0.00013636211,0.000030401527,0.00018868882,0.000064507636,0.000040635252,0.009108494],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978756,0.0014807276,0.000055032284,0.00017122824,0.0002312202,0.00018613951],"domain_scores_gemma":[0.9990675,0.0005708663,0.00007118568,0.000087085864,0.00008099996,0.00012240896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019799466,0.00043868826,0.00020798083,0.0013471935,0.0016245116,0.0028284236,0.0007930974,0.00054076564,0.0039967326],"category_scores_gemma":[0.002113343,0.00014862731,0.0003125285,0.0009911687,0.001280257,0.0012840941,0.0025402461,0.0004202444,0.00063633616],"study_design_candidate":"observational","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":[0.00040870332,0.001682721,0.029908355,0.0012516964,0.000055912875,0.0012915256,0.120529935,0.004336185,0.015917405,0.062865704,0.006750461,0.7550014],"study_design_scores_gemma":[0.00017714236,0.0026432173,0.15223128,0.0015661506,0.00028239007,0.0037473938,0.21942796,0.01600477,0.027633838,0.051002502,0.52507585,0.00020746561],"about_ca_topic_score_codex":0.001900616,"about_ca_topic_score_gemma":0.0039735944,"teacher_disagreement_score":0.0039967326,"about_ca_system_score_codex":0.0014265561,"about_ca_system_score_gemma":0.0019681847,"threshold_uncertainty_score":0.013370395},"labels":[],"label_agreement":null},{"id":"W3175573696","doi":"","title":"Implementation of SVM with SMO for Identifying Speech Emotions using FFT and Source Features","year":2021,"lang":"en","type":"article","venue":"Turkish Journal of Computer and Mathematics Education (TURCOMAT)","topic":"Emotion and Mood Recognition","field":"Psychology","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":"Speech recognition; Fast Fourier transform; Computer science; Emotion recognition; Standard deviation; Support vector machine; Fourier transform; Speech processing; Pattern recognition (psychology); Artificial intelligence; Mathematics; Statistics; Algorithm","score_opus":0.0477531928898562,"score_gpt":0.38194429211081193,"score_spread":0.33419109922095575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175573696","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":[0.039892714,0.000284791,0.9486152,0.0001545325,0.00017911474,0.00017892217,0.00033926594,0.008024634,0.0023308191],"genre_scores_gemma":[0.3353303,0.00024674958,0.6530073,0.00016114065,0.000096689044,0.0006173248,0.00286718,0.0003768944,0.0072963014],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997522,0.00003219816,0.00002337492,0.00007527161,0.000072721785,0.000044213153],"domain_scores_gemma":[0.99978584,0.000049875733,0.000012791203,0.000022064616,0.00011597606,0.00001345811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005075245,0.0007104598,0.000589561,0.0004949145,0.00037298494,0.00045679268,0.0008528283,0.0005161392,0.003926686],"category_scores_gemma":[0.000860703,0.0003246995,0.0007701746,0.0003153392,0.00010639326,0.00050891825,0.0005331765,0.0009976812,0.0019643165],"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":[0.00033753118,0.00035713371,0.0033083407,0.00014124493,0.0002051035,0.00006683191,0.00008391326,0.055065867,0.033297557,0.0016490143,0.009599079,0.8958883],"study_design_scores_gemma":[0.00002064006,0.00007559525,0.0015066456,0.0000071642853,0.000021710535,0.000027637132,0.000022874172,0.9882884,0.007096615,0.0005704273,0.0023533583,0.000008860526],"about_ca_topic_score_codex":0.005587143,"about_ca_topic_score_gemma":0.0075706574,"teacher_disagreement_score":0.005587143,"about_ca_system_score_codex":0.00024326207,"about_ca_system_score_gemma":0.0008535165,"threshold_uncertainty_score":0.013136089},"labels":[],"label_agreement":null},{"id":"W3181713895","doi":"10.17762/turcomat.v12i8.3414","title":"Particle Swarm Optimization for Least Square Support Vector Machine in MediumTerm Electricity Price Prediction","year":2021,"lang":"en","type":"article","venue":"Turkish Journal of Computer and Mathematics Education (TURCOMAT)","topic":"Energy Load and Power Forecasting","field":"Engineering","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":"Particle swarm optimization; Electricity market; Support vector machine; Electricity price forecasting; Electricity; Computer science; Term (time); Index (typography); Econometrics; Mathematical optimization; Economics; Artificial intelligence; Machine learning; Engineering; Mathematics","score_opus":0.009193083841574079,"score_gpt":0.22560014761106537,"score_spread":0.2164070637694913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181713895","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":[0.056950647,0.0015940499,0.9373158,0.00041391482,0.0001697384,0.00006307933,0.00008106594,0.0003692822,0.0030423612],"genre_scores_gemma":[0.8904263,0.0010126863,0.1047281,0.00009506328,0.00009596762,0.00015717576,0.00020996066,0.000040183324,0.003234606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996635,0.00010313035,0.00003401611,0.00007290712,0.00009210357,0.000034398246],"domain_scores_gemma":[0.9995185,0.0002674615,0.00004871407,0.000019753892,0.00013080661,0.000014695463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006569558,0.0005644183,0.00071898324,0.00035831056,0.00028264106,0.00069013884,0.0005273035,0.0007155451,0.0009026152],"category_scores_gemma":[0.0017570114,0.00032524354,0.000557249,0.00048754772,0.0002957481,0.0006199468,0.00037743634,0.0009712017,0.00024122337],"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":[0.00006834942,0.00005239053,0.0016124835,0.00011662886,0.00005594692,0.00009482801,0.00005656372,0.9176132,0.0026007008,0.0024497095,0.0011928261,0.07408633],"study_design_scores_gemma":[0.0000031238117,0.000018480696,0.00017970665,0.000003323112,0.0000032406974,0.000004624084,0.0000038716926,0.9990429,0.00023909425,0.00030724914,0.00019196891,0.0000023588539],"about_ca_topic_score_codex":0.0077846674,"about_ca_topic_score_gemma":0.0037160818,"teacher_disagreement_score":0.0077846674,"about_ca_system_score_codex":0.00031084806,"about_ca_system_score_gemma":0.0006197424,"threshold_uncertainty_score":0.01547873},"labels":[],"label_agreement":null},{"id":"W3182992032","doi":"10.17762/turcomat.v1i3.20","title":"A Comparison of Secondary School Mathematics Curriculum Guidebooks: Turkey, Germany and Canada","year":2010,"lang":"en","type":"article","venue":"Turkish Journal of Computer and Mathematics Education (TURCOMAT)","topic":"Educational Assessment and Pedagogy","field":"Social Sciences","cited_by":7,"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":"Curriculum; Turkish; German; Mathematics education; Everyday Mathematics; Connected Mathematics; Reform mathematics; Math wars; Mathematics curriculum; Integrated mathematics; Interactive Mathematics Program; Pedagogy; Political science; Sociology; Geography; Mathematics; Teaching method","score_opus":0.017010321772603944,"score_gpt":0.35866805965516607,"score_spread":0.34165773788256215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182992032","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":[0.97595507,0.00064257794,0.00018322938,0.00029306847,0.000021172145,0.00013343232,0.0011834523,0.000050368195,0.021537598],"genre_scores_gemma":[0.9883903,0.0013521512,0.001123032,0.00010774953,0.0000029823802,0.00009805843,0.0022507147,0.000030359359,0.0066447426],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980823,0.0002249013,0.00011193905,0.00016690677,0.00093380146,0.00048023395],"domain_scores_gemma":[0.99466693,0.00070167123,0.0003648508,0.0001222057,0.003096899,0.0010474557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014437663,0.00029688576,0.00030685565,0.004372669,0.0026101784,0.0019374569,0.0008605898,0.00037274888,0.0025386745],"category_scores_gemma":[0.0077007245,0.00024294107,0.00025998286,0.0066177556,0.0006731222,0.0008911407,0.0012392494,0.00050061516,0.00026488712],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018967974,0.0010389887,0.41554084,0.0017221682,0.00013761285,0.002185637,0.1304006,0.0018438315,0.0054581575,0.013434452,0.027741622,0.39859927],"study_design_scores_gemma":[0.000034410983,0.00019834378,0.86764777,0.0002699596,0.00004488214,0.00021335144,0.07086709,0.00040130503,0.001576223,0.00012244524,0.058557637,0.00006662287],"about_ca_topic_score_codex":0.8881753,"about_ca_topic_score_gemma":0.9502576,"teacher_disagreement_score":0.11182469,"about_ca_system_score_codex":0.02837517,"about_ca_system_score_gemma":0.03406942,"threshold_uncertainty_score":0.22496647},"labels":[],"label_agreement":null}]}