{"id":"W4380482121","doi":"10.25143/prom-rsu_2023-10_pdk","title":"Uz infrasarkano staru spektroskopijas balstīta klīniskā algoritma izmantošana mugurkaula operācijās un pēcoperācijas kognitīvie traucējumi. Promocijas darba kopsavilkums","year":2023,"lang":"lv","type":"dissertation","venue":"","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics","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":[0.002454383,0.0008861603,0.001514269,0.002590649,0.001294489,0.004069081,0.0007715542,0.001650352,0.02859271],"category_scores_gemma":[0.005165638,0.0005943984,0.001507149,0.001370511,0.001445178,0.0023881,0.00219853,0.003308845,0.008963109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343325,"about_ca_system_score_gemma":0.002901667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002192125,"about_ca_topic_score_gemma":0.003776601,"domain_scores_codex":[0.9980435,0.0005076028,0.0002239686,0.0003339523,0.0005859609,0.0003050296],"domain_scores_gemma":[0.9969094,0.0009840131,0.0005913072,0.0003454786,0.0006954283,0.0004742622],"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":[0.002453444,0.001038006,0.03742089,0.006743151,0.0005700497,0.009067899,0.00161911,0.001408728,0.07148892,0.008432256,0.0421848,0.8175728],"study_design_scores_gemma":[0.0004114929,0.004363457,0.082367,0.005870584,0.001043458,0.07605908,0.005115931,0.003323749,0.06678767,0.01295589,0.7413273,0.0003744097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.247624,0.3581738,0.09955622,0.03280426,0.007576844,0.001663662,0.00271571,0.004262595,0.2456229],"genre_scores_gemma":[0.6630511,0.1376533,0.07188728,0.01145376,0.005005664,0.0009110802,0.002678507,0.001005143,0.1063542],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02859271,"threshold_uncertainty_score":0.0956521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094350566425241,"score_gpt":0.2963670564603467,"score_spread":0.2754235507960943,"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."}}