{"id":"W6930491322","doi":"10.5281/zenodo.13287092","title":"Digital Transformation: A Case Study of a Legal Firm in Sri Lanka and Its Impact","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Confidentiality; Adaptability; Digital transformation; Work (physics); Data security; Customer satisfaction; Operational efficiency; Sri lanka","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001322223,0.0003894572,0.0003691421,0.002364317,0.01250927,0.004777418,0.001982442,0.003052028,0.006222445],"category_scores_gemma":[0.003162799,0.0003486435,0.000426471,0.003654938,0.005317963,0.002572089,0.004226539,0.00311481,0.0008038917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007616196,"about_ca_system_score_gemma":0.003924678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04526975,"about_ca_topic_score_gemma":0.1000689,"domain_scores_codex":[0.9980394,0.0008908492,0.0000779106,0.0001507438,0.0002640792,0.0005769571],"domain_scores_gemma":[0.9971769,0.00114589,0.0004474682,0.000161456,0.0002551638,0.0008131221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001755582,0.0024258,0.1062825,0.0004372505,0.00007242957,0.252898,0.5447115,0.001988522,0.002174704,0.02446729,0.008022676,0.0563437],"study_design_scores_gemma":[0.0000179228,0.0003389081,0.04433792,0.0001864019,0.00003347261,0.01348278,0.9029648,0.001571492,0.0008623662,0.001170684,0.03497898,0.00005427],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836917,0.0002522644,0.0004450721,0.001954901,0.00001532068,0.00008687482,0.00007965364,0.00001417362,0.01345994],"genre_scores_gemma":[0.9937975,0.0005765106,0.0005442761,0.0003848306,0.00001197155,0.00002708677,0.00006497635,0.00001170595,0.004581117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04526975,"threshold_uncertainty_score":0.09001249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892944508366684,"score_gpt":0.3606333528969441,"score_spread":0.2917039078132773,"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."}}