{"id":"W7132447328","doi":"","title":"Šlaunikaulio periprotezinių lūžių, po klubo sąnario endoprotezavimo, operacinio gydymo artimieji rezultatai LSMUL KK Ortopedijos traumatologijos klinikoje","year":2025,"lang":"lt","type":"article","venue":"Lithuanian University of Health Sciences","topic":"Peripheral Artery Disease Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Test (biology); Population","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":[0.000733135,0.0005334594,0.0007609857,0.001085843,0.0005860178,0.001764359,0.0003607453,0.0008382254,0.02935634],"category_scores_gemma":[0.001022429,0.0003437957,0.0008627759,0.000653278,0.0006042589,0.0007574828,0.001103765,0.001586397,0.008026366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849474,"about_ca_system_score_gemma":0.0017326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141356,"about_ca_topic_score_gemma":0.002795859,"domain_scores_codex":[0.9994509,0.00007984015,0.00005937847,0.00008369427,0.0002276656,0.00009861849],"domain_scores_gemma":[0.9994866,0.00009806725,0.0001256934,0.00004767621,0.0001441831,0.00009782438],"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":[0.004206606,0.001275389,0.0128441,0.00548867,0.000330911,0.00261191,0.0007369689,0.0008933403,0.2598729,0.006525252,0.0317287,0.6734853],"study_design_scores_gemma":[0.0004020486,0.006416456,0.04682566,0.001671382,0.0005791052,0.01670717,0.001175643,0.001253135,0.154919,0.004255319,0.7656589,0.0001361972],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.467844,0.2321323,0.04546639,0.0102529,0.004770518,0.00177148,0.003625444,0.002250093,0.2318868],"genre_scores_gemma":[0.6348816,0.08471566,0.03247065,0.00404014,0.00113666,0.0009951467,0.00341126,0.0007947322,0.2375542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02935634,"threshold_uncertainty_score":0.0982067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951917265945301,"score_gpt":0.2989384361622454,"score_spread":0.2694192635027924,"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."}}