{"meta":{"query_hash":"0e919c0f370d","filters":{"venue":"Professor’s Journal Series Technical science"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/0e919c0f370d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Professor%E2%80%99s+Journal+Series+Technical+science"},"results":[{"id":"W7147658239","doi":"10.18572/2686-8598-2025-10-3-53-56","title":"From routine to creativity: how artificial intelligence is transforming the work of educators","year":2025,"lang":"","type":"article","venue":"Professor’s Journal Series Technical science","topic":"Artificial Intelligence in Education","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Process (computing); Objectivity (philosophy); Test (biology); Matching (statistics); Applications of artificial intelligence; Work (physics)","score_opus":0.05263166265361885,"score_gpt":0.3718309295752703,"score_spread":0.31919926692165146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147658239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20901676,0.00053366006,0.5717794,0.20987299,0.0069788466,0.0010787573,0.000012210157,0.000077345874,0.00065005204],"genre_scores_gemma":[0.9715003,0.00026548002,0.02535914,0.0012036237,0.00068784045,0.00007808982,5.4715304e-7,0.000021335578,0.00088367617],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9922677,0.00047923185,0.002021161,0.0014014594,0.002256474,0.0015739343],"domain_scores_gemma":[0.99372536,0.0011616637,0.0009962731,0.0017735501,0.0016841566,0.0006589856],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts"],"category_scores_codex":[0.007172713,0.00060387026,0.0007963719,0.0007657895,0.003287074,0.0022761857,0.008483367,0.00032398684,0.00023951345],"category_scores_gemma":[0.004446632,0.00045233883,0.00036183454,0.013448479,0.004670163,0.003627932,0.0016933923,0.0020143285,0.000060718867],"study_design_candidate":"design_other","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":[0.00029732374,0.00077505095,0.0016190512,0.000043100918,0.00005636329,0.000007800065,0.037482236,0.00018178756,0.03383291,0.09261271,0.0014958228,0.83159584],"study_design_scores_gemma":[0.000039334634,0.0004963692,0.0022759945,0.0015325119,0.000114066854,0.000045729612,0.020388447,0.0013535935,0.6722432,0.2956301,0.005193061,0.0006875873],"about_ca_topic_score_codex":0.00028189764,"about_ca_topic_score_gemma":0.0002041418,"teacher_disagreement_score":0.83090824,"about_ca_system_score_codex":0.0008787936,"about_ca_system_score_gemma":0.004109471,"threshold_uncertainty_score":0.9997928},"labels":[],"label_agreement":null}]}