{"id":"W7151689090","doi":"","title":"Kalių sergančių piometra rentgenogramų ir kraujo tyrimų analizė Švedijos klinikoje "A"","year":2018,"lang":"en","type":"dissertation","venue":"Lithuanian University of Health Sciences","topic":"Veterinary Medicine and Surgery","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pyometra; Breed; Incidence (geometry); Labrador Retriever; Statistical significance; Estrous cycle","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":[0.00132061,0.0004324898,0.0008702397,0.00339611,0.0005279573,0.001716572,0.0003684574,0.0005246596,0.009517665],"category_scores_gemma":[0.001996732,0.0003266391,0.0006334857,0.001418488,0.0004361136,0.0006538212,0.0007973117,0.0005626016,0.0019946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003784506,"about_ca_system_score_gemma":0.0007110691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001569644,"about_ca_topic_score_gemma":0.002055125,"domain_scores_codex":[0.9993303,0.0001001454,0.00012204,0.0001235931,0.0002192955,0.0001046926],"domain_scores_gemma":[0.9993806,0.0001298626,0.0001668091,0.00004462231,0.0002126089,0.00006540098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001574781,0.0005333857,0.502059,0.00257856,0.0003657278,0.006089084,0.00279749,0.001004824,0.02764275,0.002236239,0.01579826,0.4373199],"study_design_scores_gemma":[0.00006646114,0.001704781,0.8505506,0.002069748,0.0004943864,0.02604522,0.006112297,0.00296158,0.0176888,0.00139225,0.09078082,0.0001331673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9180587,0.03237656,0.01312833,0.001634218,0.0007500675,0.0006883646,0.00360505,0.0005330112,0.02922568],"genre_scores_gemma":[0.927927,0.02160503,0.02858024,0.0004853922,0.0004934971,0.0004469128,0.003146427,0.0002355622,0.01708006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009517665,"threshold_uncertainty_score":0.03183979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041124645292763,"score_gpt":0.3655165331434146,"score_spread":0.2614040686141383,"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."}}