{"id":"W4312520592","doi":"10.36809/2309-9380-2022-37-156-160","title":"ROLE OF ARTIFICIAL INTELLIGENCE IN THE EDUCATIONAL PROCESS OF A PEDAGOGICAL UNIVERSITY","year":2022,"lang":"en","type":"article","venue":"Review of Omsk State Pedagogical University Humanitarian research","topic":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Process (computing); Strengths and weaknesses; SWOT analysis; Context (archaeology); Computer science; Knowledge management; Artificial intelligence; Psychology; Management science; Engineering; Business; Social psychology; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006727936,0.0002303894,0.0004260373,0.002677711,0.001853645,0.01056333,0.0006064533,0.001143079,0.001937704],"category_scores_gemma":[0.007495036,0.0002098069,0.0003100061,0.002226257,0.005383332,0.005342714,0.002531344,0.001770648,0.000310377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003100775,"about_ca_system_score_gemma":0.008166902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001949772,"about_ca_topic_score_gemma":0.001705735,"domain_scores_codex":[0.991759,0.00588077,0.0004476935,0.0003410214,0.001125935,0.0004455076],"domain_scores_gemma":[0.9853299,0.01159042,0.001032535,0.0005829879,0.0009223584,0.0005418169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004617652,0.0001479298,0.01009254,0.002208985,0.00006471556,0.0004892367,0.01176888,0.002177803,0.000809215,0.6677483,0.002208734,0.3022374],"study_design_scores_gemma":[0.00002487874,0.0003017781,0.02509559,0.009652386,0.0001371651,0.001050349,0.03199722,0.005584116,0.001946571,0.4794091,0.4446797,0.0001211445],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1464428,0.1551968,0.09719389,0.06648617,0.00110428,0.0004304358,0.0001232617,0.0002273705,0.532795],"genre_scores_gemma":[0.9342488,0.03303292,0.02432713,0.001728612,0.0002738519,0.0001015399,0.00002760217,0.000023029,0.006236402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01056333,"threshold_uncertainty_score":0.03558111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.297524468999633,"score_gpt":0.4855068246397846,"score_spread":0.1879823556401515,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}