{"id":"W7116097076","doi":"10.54808/jsci.23.07.164","title":"Responsible Integration of AI in Public Legal Education: Regulatory Challenges and Opportunities in Albania","year":2025,"lang":"en","type":"article","venue":"Journal of systemics, cybernetics, and informatics/Journal of systemics cybernetics and informatics","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legal research; Legal profession; Human rights; Economic Justice; Empirical legal studies; Legal education; Empowerment; Legal opinion","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":[0.007611965,0.0003339316,0.001199712,0.001749582,0.0001561875,0.0004131582,0.000555307,0.0004357751,0.000005846811],"category_scores_gemma":[0.001148908,0.000301137,0.0001322515,0.0003724213,0.0008401325,0.002607065,0.0001494908,0.0008594156,9.010568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039675,"about_ca_system_score_gemma":0.002558935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002290612,"about_ca_topic_score_gemma":0.0007407611,"domain_scores_codex":[0.9921103,0.0003279019,0.006108053,0.00009848904,0.0009283496,0.0004268766],"domain_scores_gemma":[0.9921268,0.0005467032,0.004323487,0.0002735008,0.002403656,0.0003258417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001747159,0.0001886469,0.005614269,0.003278405,0.0001574031,0.00001102834,0.1722416,0.0002046656,0.00008552378,0.7695209,0.001221931,0.04730094],"study_design_scores_gemma":[0.001908187,0.001044722,0.003691836,0.02108035,0.0002476234,0.001135458,0.8794495,0.009414488,0.0004816548,0.02753639,0.05322332,0.0007864694],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368379,0.0265039,0.001178494,0.003056765,0.002025543,0.0007024353,0.00001353445,0.0000113899,0.02967005],"genre_scores_gemma":[0.9303939,0.06626837,0.002447399,0.0002924591,0.000208311,0.000003487358,0.000002109777,0.00001692198,0.0003670301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7419845,"threshold_uncertainty_score":0.9999441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04979774736884525,"score_gpt":0.3033382152820583,"score_spread":0.2535404679132131,"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."}}