{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"b2554494c98b","filters":{"venue":"International Journal of Engineering Research and Technology"}},"results":[{"id":"W3118492972","doi":"10.37624/ijert/13.11.2020.3732-3735","title":"Model of Developing the Availability of Engineers to Innovative Activity for High-Tech Industry","year":2020,"lang":"en","type":"article","venue":"International Journal of Engineering Research and Technology","topic":"Technology Assessment and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Transport Canada","funders":"","keywords":"High tech; Business; Manufacturing engineering; Engineering management; Engineering; Geography","authors":[{"name":"Ангелина Олеговна Багатеева","is_ca":false},{"name":"Guliya Nailevna Akhmetzyanova","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05886575717397571,"gpt":0.3355557389846139,"spread":0.2766899818106382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004262879,0.00008038351,0.0001823124,0.0006618094,0.00001580671,0.00000805948,0.0005000999,0.0001619875,0.000002356309],"category_scores_gemma":[0.0006334788,0.00006696661,0.00002131272,0.000700356,0.00009556364,0.00008133324,0.0001752079,0.0006557686,2.207048e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007573098,"about_ca_system_score_gemma":0.00005628869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000247348,"about_ca_topic_score_gemma":0.00000120941,"domain_scores_codex":[0.9992224,0.000005429621,0.0002802201,0.00008588084,0.000247123,0.0001589219],"domain_scores_gemma":[0.9988252,0.000139429,0.0000654726,0.00009492039,0.0008407242,0.00003424867],"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":[0.0001982845,0.00008693244,0.002381119,0.0003585602,0.001037191,0.000011797,0.0004384022,0.1420641,0.5740868,0.2516153,0.001650201,0.02607128],"study_design_scores_gemma":[0.001133546,0.0008698339,0.002710989,0.0002064603,0.00001697138,0.00001319039,0.0004288491,0.1549102,0.8254741,0.01242511,0.001588961,0.0002217839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7448229,0.00005394494,0.2474686,0.007337636,0.00009994463,0.0001417479,0.00001224593,0.00004420213,0.00001879687],"genre_scores_gemma":[0.9829818,0.0000390849,0.01690007,0.00001152813,0.00003329784,0.00001766667,6.048796e-7,0.00001090268,0.000005032047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2513873,"threshold_uncertainty_score":0.2849025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412872200","doi":"10.70382/tijert.v08i5.006","title":"AI-DRIVEN DRILLING OPTIMIZATION AND REAL-TIME DATA ANALYSIS","year":2025,"lang":"en","type":"article","venue":"International Journal of Engineering Research and Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Drilling; Computer science; Petroleum engineering; Geology; Real-time computing; Engineering; Mechanical engineering","authors":[{"name":"AJETUNMOBI MOSES OLAIJUWON","is_ca":false},{"name":"OKORO OSARODION MURPHY","is_ca":false},{"name":"OJOMAH AROME EMMANUEL","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01409110421854661,"gpt":0.3090165042726641,"spread":0.2949254000541175,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004322579,0.00009725676,0.0002063575,0.002663458,0.00003357026,0.0000859907,0.0004878219,0.0001108283,0.000008597594],"category_scores_gemma":[0.0002278104,0.0000979057,0.00002422487,0.0009692792,0.00005751976,0.0001965274,0.0002029789,0.000400353,0.000001015307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006903339,"about_ca_system_score_gemma":0.00002435432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007993604,"about_ca_topic_score_gemma":0.000001670007,"domain_scores_codex":[0.99914,0.000007859749,0.0002753202,0.0001445652,0.000234754,0.0001974862],"domain_scores_gemma":[0.9991937,0.0001431698,0.00002766907,0.00020586,0.000370045,0.00005955827],"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":[0.000006157111,0.000009964519,0.001188698,0.00002637358,0.0008933541,0.00003141017,0.00001425249,0.9854773,0.007240077,0.002123425,0.0002737438,0.00271525],"study_design_scores_gemma":[0.0002111588,0.00002950318,0.0001946039,0.0001075642,0.00004630487,0.00003274581,0.00001765448,0.9959134,0.0009034225,0.0003622142,0.0021067,0.00007468796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.108938,0.002514794,0.885278,0.001788529,0.0005697687,0.00008613997,0.00002184753,0.0002927401,0.0005101518],"genre_scores_gemma":[0.9735497,0.004360573,0.02188215,0.000005503958,0.000101624,0.000002255963,0.00001714352,0.00001756134,0.00006344677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8646117,"threshold_uncertainty_score":0.3992479,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}