{"id":"W7132775610","doi":"","title":"Periprostetinių šlaunikaulio lūžių pirminių bei pakartotinių operacijų LSMUL Kauno klinikose 2019-2023m. analizė","year":2025,"lang":"lt","type":"article","venue":"Lithuanian University of Health Sciences","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Standard illuminant; Age discrimination; Statistical analysis; Context (archaeology)","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":[],"consensus_categories":[],"category_scores_codex":[0.001767922,0.0004785659,0.0008535873,0.00148113,0.0006034105,0.002751632,0.0004108057,0.0007145229,0.01548334],"category_scores_gemma":[0.004363525,0.0002819843,0.001583256,0.001708463,0.0004905372,0.001311036,0.0008421118,0.001597473,0.00332888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001438148,"about_ca_system_score_gemma":0.002174556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002155618,"about_ca_topic_score_gemma":0.004304541,"domain_scores_codex":[0.998571,0.0002988495,0.0002270052,0.0001956355,0.0004744709,0.0002329843],"domain_scores_gemma":[0.9983289,0.0004987848,0.0005490844,0.0001097768,0.0003537474,0.0001597259],"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":[0.008218354,0.0007887306,0.1813717,0.00839818,0.001502118,0.004309015,0.001324326,0.001255372,0.01932538,0.004190831,0.02957399,0.7397419],"study_design_scores_gemma":[0.0006929521,0.007452114,0.2296802,0.006555066,0.004081654,0.03341791,0.004029645,0.003339718,0.05350483,0.008391961,0.6486061,0.0002477761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5143893,0.3563355,0.01882093,0.008375064,0.002062867,0.001613401,0.007801652,0.0009296624,0.08967152],"genre_scores_gemma":[0.8838148,0.0682462,0.01192619,0.003505739,0.0008501504,0.00109183,0.005629366,0.0002888772,0.02464681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01548334,"threshold_uncertainty_score":0.05179697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006154584668194,"score_gpt":0.3045586648492133,"score_spread":0.2844971190025313,"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."}}