{"id":"W7093622488","doi":"","title":"S poizvedovanjem obogateno generiranje besedil z domensko specifičnim doučevanjem velikih jezikovnih modeloveli","year":2024,"lang":"en","type":"article","venue":"Repository of the University of Ljubljana (University of Ljubljana)","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Generator (circuit theory); Component (thermodynamics); Question answering; Labrador Retriever; Context model; Architecture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001273751,0.0003227082,0.0007254591,0.0009172794,0.0007206166,0.0000894287,0.00306831,0.000230099,0.0007357503],"category_scores_gemma":[0.00006909677,0.0003127602,0.0009680467,0.001652672,0.001089457,0.001574226,0.001049708,0.0003435535,0.0001753114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468625,"about_ca_system_score_gemma":0.0003118613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008380711,"about_ca_topic_score_gemma":0.0001880814,"domain_scores_codex":[0.9958451,0.0002682428,0.000616377,0.0006674214,0.002209221,0.000393579],"domain_scores_gemma":[0.9965735,0.0003337237,0.0008147589,0.001288568,0.0007737042,0.0002157137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003889325,0.002017135,0.02522343,0.002110282,0.004317503,0.001675144,0.1065351,0.02480708,0.1224108,0.06356768,0.5692053,0.07424124],"study_design_scores_gemma":[0.005145612,0.0007124679,0.0850961,0.001151179,0.002098721,0.0001260325,0.146517,0.0753975,0.009353435,0.003643311,0.6687969,0.001961761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532548,0.0004970423,0.004328542,0.003069539,0.001269915,0.0004681977,0.0001727728,0.0001194629,0.03681978],"genre_scores_gemma":[0.9548424,0.0001497042,0.002402591,0.00003260864,0.00006560161,2.855317e-8,0.00001216199,0.00001922608,0.0424757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1130573,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1427270765340359,"score_gpt":0.3040141230584937,"score_spread":0.1612870465244578,"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."}}