{"id":"W4402862300","doi":"10.15391/snsv.2024-3.005","title":"Olympic education as an object of scientific analysis based on international scientometric databases Scopus and Web of Science","year":2024,"lang":"en","type":"article","venue":"Слобожанський науково-спортивний вісник","topic":"Physical Education and Training Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Web of science; Object (grammar); World Wide Web; Library science; Information retrieval; Webometrics; Scientometrics; Computer science; Data science; Database; Political science; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451022,0.0002253011,0.0004321672,0.006451096,0.0009223412,0.0001157764,0.0005657118,0.00006145014,0.0004972919],"category_scores_gemma":[0.001812468,0.0001942291,0.0001388241,0.01405528,0.001953839,0.000668827,0.0001961514,0.0003130542,0.00007601752],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334312,"about_ca_system_score_gemma":0.005886247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004302484,"about_ca_topic_score_gemma":0.0001307494,"domain_scores_codex":[0.9964645,0.0002276594,0.000674663,0.0009002093,0.001273272,0.0004597095],"domain_scores_gemma":[0.9968942,0.0008827043,0.0002979949,0.0007398371,0.0009152596,0.0002699851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004816666,0.008122943,0.4197102,0.002849652,0.00175036,0.00001050834,0.02647809,0.0008935818,0.05435014,0.3263454,0.01196534,0.1470421],"study_design_scores_gemma":[0.002336093,0.000986228,0.8154716,0.003073888,0.001788556,0.000004859381,0.01770929,0.1110284,0.01090034,0.004164176,0.03132258,0.001213949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695709,0.0005019373,0.0001840209,0.0008202314,0.004351037,0.0004272588,0.0002240833,0.0001129375,0.02380763],"genre_scores_gemma":[0.9965577,0.00003644602,0.001089541,0.0003736903,0.0001924014,0.00007592734,0.0001740893,0.00002071588,0.001479528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3957614,"threshold_uncertainty_score":0.9997495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029635485918018,"score_gpt":0.5278023289868863,"score_spread":0.4248387803950844,"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."}}