{"id":"W6981676723","doi":"","title":"E.valdžios taikymas valstybės sienos apsaugoje","year":2006,"lang":"en","type":"dissertation","venue":"Laba (Lietuvos akademinių bibliotekų direktorių asociacija)","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lithuanian; Work (physics); Government (linguistics); Politics; State (computer science); Subject (documents); Eu countries","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":[0.0004068982,0.0004554839,0.0005495632,0.001248769,0.001061846,0.002800366,0.0002161725,0.0006307464,0.01813314],"category_scores_gemma":[0.0007358067,0.0002145086,0.0003005963,0.0008904656,0.0006552981,0.001343924,0.001316875,0.001476716,0.009136402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837102,"about_ca_system_score_gemma":0.001404208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004838698,"about_ca_topic_score_gemma":0.0006229487,"domain_scores_codex":[0.9997749,0.0000439537,0.00001821249,0.00006236021,0.00006584504,0.00003479821],"domain_scores_gemma":[0.9998147,0.00003899188,0.00002078286,0.00001442878,0.00006098271,0.00005020608],"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":[0.0005509936,0.000511311,0.007416926,0.002656049,0.00008196806,0.001815334,0.01292171,0.001298491,0.0119722,0.2393926,0.1685414,0.5528409],"study_design_scores_gemma":[0.00002195046,0.0001487462,0.01050668,0.000767876,0.00004519109,0.002134985,0.003525277,0.0004355974,0.004678928,0.01649245,0.9612188,0.00002364584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1719017,0.2035522,0.01227899,0.03861511,0.0103611,0.0001937072,0.001525759,0.0007361196,0.5608352],"genre_scores_gemma":[0.408809,0.1122556,0.007297066,0.002299682,0.001772953,0.0001608061,0.0006804474,0.0002482721,0.4664761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01813314,"threshold_uncertainty_score":0.06066138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08601158229851781,"score_gpt":0.4515259465323926,"score_spread":0.3655143642338748,"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."}}