{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007350226,0.0006985435,0.001554741,0.1157526,0.001314658,0.008633033,0.0007140287,0.0005531149,0.007195651],"category_scores_gemma":[0.02340076,0.0002155896,0.0008971961,0.1386977,0.001018211,0.002887908,0.002516398,0.0005251712,0.0009273593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002657765,"about_ca_system_score_gemma":0.008625544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004292502,"about_ca_topic_score_gemma":0.004462572,"domain_scores_codex":[0.9893062,0.0020182,0.00307949,0.001005819,0.004082213,0.000508148],"domain_scores_gemma":[0.9816152,0.007064758,0.006371002,0.0008120234,0.003290277,0.0008466156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006956593,0.0005019465,0.3022467,0.05404811,0.001590298,0.00197904,0.007997881,0.003739487,0.003488885,0.05882736,0.05354372,0.5113409],"study_design_scores_gemma":[0.0001002735,0.0002812319,0.6649697,0.01270249,0.002332732,0.002031954,0.01651883,0.007471536,0.003056019,0.02209989,0.2682098,0.0002254643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5654931,0.07056697,0.03528301,0.004109262,0.0008531804,0.007089226,0.1679453,0.001578395,0.1470817],"genre_scores_gemma":[0.8590833,0.03050514,0.04331571,0.0002841995,0.0008259173,0.005368596,0.05633888,0.0002228343,0.00405534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8842474,"threshold_uncertainty_score":0.03887212,"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."}}