{"id":"W7132504725","doi":"","title":"СРАВНЕНИЕ НА КОМПЮТЪРИЗИРАНИ СПРЯМО КОНВЕНЦИОНАЛНИ УПРАЖНЕНИЯ И УСТАНОВЯВАНЕ НА ТЯХНАТА ОПТИМАЛНА ЧЕСТОТА, ИНТЕНЗИВНОСТ И ПРОДЪЛЖИТЕЛНОСТ ПРИ АРТРОПЛАСТИКА НА ТАЗОБЕДРЕНАТА СТАВА","year":2023,"lang":"","type":"dissertation","venue":"Bulgarian Portal for Open Science","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Arthritis; Joint (building); Rheumatoid arthritis","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.01153094,0.004231224,0.005512168,0.003146251,0.007349696,0.005214889,0.01152706,0.002429277,0.01199484],"category_scores_gemma":[0.006147103,0.004010148,0.002154383,0.00732137,0.004591442,0.00462958,0.003567403,0.003549953,0.006219311],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052271,"about_ca_system_score_gemma":0.01560941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165641,"about_ca_topic_score_gemma":0.005278509,"domain_scores_codex":[0.96935,0.0003882289,0.006465152,0.008660819,0.007523045,0.007612763],"domain_scores_gemma":[0.9806784,0.001320831,0.004353128,0.005506882,0.003282181,0.004858524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01546322,0.00844369,0.04190973,0.009444248,0.004583156,0.015199,0.03042467,0.000375547,0.02334562,0.05265926,0.3870058,0.4111461],"study_design_scores_gemma":[0.04107525,0.01369048,0.1868112,0.0169782,0.007502344,0.005807788,0.0595542,0.009827308,0.01473593,0.00584863,0.6184933,0.01967531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5687571,0.00659515,0.002461336,0.006855251,0.1186186,0.05334923,0.01225663,0.00255363,0.228553],"genre_scores_gemma":[0.6963693,0.001806636,0.00411539,0.002990833,0.005820181,0.002402166,0.01168975,0.001427031,0.2733787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3914708,"threshold_uncertainty_score":0.9988658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04159596158633343,"score_gpt":0.3662519237649483,"score_spread":0.3246559621786148,"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."}}