{"id":"W84591170","doi":"","title":"АНАЛИЗ ЗАРУБЕЖНЫХ УЧЕБНЫХ ПЛАНОВ ПОДГОТОВКИ СПЕЦИАЛИСТОВ ДЛЯ СФЕРЫ АДАПТИВНОЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ","year":2008,"lang":"ru","type":"article","venue":"Педагогика, психология и медико-биологические проблемы физического воспитания и спорта","topic":"Physical Education and Training Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Training (meteorology); Vocational education; Medical education; Work (physics); Engineering; Medicine; Pedagogy; Psychology; Geography; Mechanical engineering","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":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004877128,0.007228851,0.008576742,0.002970906,0.01445391,0.0007936865,0.006402386,0.005111779,0.01744649],"category_scores_gemma":[0.004936598,0.007415147,0.004166759,0.006793039,0.006338004,0.00304349,0.004046799,0.01299847,0.04213594],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004528955,"about_ca_system_score_gemma":0.0096043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006910128,"about_ca_topic_score_gemma":0.002382396,"domain_scores_codex":[0.9582096,0.005471017,0.009271677,0.008421882,0.006610928,0.01201491],"domain_scores_gemma":[0.9700296,0.006012289,0.005094815,0.008593881,0.004019907,0.006249539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003331067,0.01383404,0.04058604,0.004644732,0.006112508,0.002617506,0.06319776,0.0002953523,0.003974392,0.04459615,0.7820374,0.03477307],"study_design_scores_gemma":[0.02174218,0.002898374,0.1900332,0.006154886,0.003328037,0.001023707,0.04059486,0.002642818,0.002669462,0.007875853,0.707414,0.01362257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.438383,0.02263081,0.003418562,0.05818468,0.054833,0.01596513,0.004748581,0.009224384,0.3926119],"genre_scores_gemma":[0.8061405,0.006300251,0.002467936,0.01753695,0.01734404,0.001943681,0.001377637,0.00195965,0.1449294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3677575,"threshold_uncertainty_score":0.9997029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2675042064195232,"score_gpt":0.5070917606333679,"score_spread":0.2395875542138448,"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."}}