{"id":"W7116921225","doi":"10.51663/pnz.65.3.07","title":"Od kamnitega do spletnega portala: samodejno zaznavanje sprememb v rabi besed","year":2025,"lang":"sl","type":"article","venue":"Contributions to Contemporary History","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Atomic Energy of Canada Limited; University of Cambridge","keywords":"Representation (politics); Word (group theory); Identification (biology); Lexical item; Lexico; Word lists by frequency; Word formation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001455579,0.0008039986,0.001007055,0.005004616,0.001053579,0.005074317,0.0006724778,0.0008236521,0.007158867],"category_scores_gemma":[0.004750179,0.0005969415,0.0005381033,0.003663106,0.001025141,0.004722953,0.002670685,0.0009321527,0.004317502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006715491,"about_ca_system_score_gemma":0.001051153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004783984,"about_ca_topic_score_gemma":0.006811334,"domain_scores_codex":[0.9985741,0.0002469951,0.0002014818,0.000464703,0.0003986949,0.0001139432],"domain_scores_gemma":[0.9967017,0.001127567,0.0005173633,0.0006730081,0.0007446018,0.0002358528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001350324,0.0002844591,0.06870238,0.002333197,0.0001315425,0.001791751,0.01954179,0.002192867,0.03238648,0.006546852,0.02808164,0.8366568],"study_design_scores_gemma":[0.0001547329,0.0005719533,0.2074293,0.001792635,0.0004284206,0.003502451,0.02706635,0.03487426,0.06662595,0.01249999,0.6446103,0.0004436875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.626996,0.006917158,0.2112719,0.001845517,0.0006400703,0.0006309554,0.01415549,0.07433687,0.06320594],"genre_scores_gemma":[0.7717262,0.003537692,0.1769151,0.0003849779,0.000138168,0.0003332656,0.01398157,0.005628714,0.02735436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007158867,"threshold_uncertainty_score":0.02394885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553545882168788,"score_gpt":0.294454278189664,"score_spread":0.2689188193679761,"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."}}