{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00266973,0.001164609,0.001139782,0.001905084,0.0007474715,0.005420824,0.001839071,0.001678475,0.01312037],"category_scores_gemma":[0.006543644,0.0007890625,0.001468666,0.001155857,0.001254841,0.006022708,0.003820858,0.002731453,0.005618496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009911087,"about_ca_system_score_gemma":0.001530927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127853,"about_ca_topic_score_gemma":0.003599823,"domain_scores_codex":[0.9983842,0.0004814157,0.0001381972,0.0005092251,0.0003396984,0.0001473131],"domain_scores_gemma":[0.9973853,0.001102642,0.0001667613,0.0008329544,0.0004082717,0.0001039777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001309083,0.001344898,0.02915915,0.00277385,0.0004867426,0.002012866,0.008145929,0.09054281,0.07152981,0.1716288,0.02287978,0.5981863],"study_design_scores_gemma":[0.0001776178,0.0007131982,0.01379301,0.0009406072,0.0005416898,0.002328639,0.003621318,0.5426868,0.06150711,0.1451029,0.2281972,0.0003899588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1173862,0.00183235,0.8350336,0.002186303,0.0002152597,0.00050001,0.003603282,0.01048247,0.0287605],"genre_scores_gemma":[0.5057581,0.001849121,0.4626839,0.0006015641,0.0001234475,0.0004891311,0.006145684,0.00209972,0.02024932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01312037,"threshold_uncertainty_score":0.04389203,"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."}}