{"id":"W814617309","doi":"10.71781/10474","title":"An anonymizable entity finder in judicial decisions","year":2008,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.005284068,0.0004257541,0.001333056,0.002307557,0.00138385,0.003194286,0.001851303,0.001824837,0.004081461],"category_scores_gemma":[0.01774702,0.0005207213,0.0005949558,0.003015615,0.0007669806,0.006256301,0.002768151,0.001345986,0.002498932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147932,"about_ca_system_score_gemma":0.003036553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007418184,"about_ca_topic_score_gemma":0.01173333,"domain_scores_codex":[0.9963641,0.001084995,0.0003920162,0.0008599869,0.001014603,0.0002844373],"domain_scores_gemma":[0.9929432,0.003253142,0.0005308198,0.00220666,0.0008391571,0.0002270971],"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":[0.003182926,0.0005368982,0.01278131,0.0004751626,0.0002814084,0.001847927,0.002287708,0.09178087,0.0172427,0.1543732,0.09518947,0.6200204],"study_design_scores_gemma":[0.0001651838,0.0001173456,0.003026901,0.0001055019,0.0001040762,0.0005565222,0.001158049,0.7948162,0.01913503,0.1119239,0.06882277,0.00006855547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1771558,0.002321596,0.7661048,0.006442874,0.0007555228,0.0007343121,0.01645232,0.01569543,0.01433726],"genre_scores_gemma":[0.5198452,0.0008541955,0.4542568,0.0003771568,0.0002744547,0.0001858061,0.01016444,0.0003924732,0.01364949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007418184,"threshold_uncertainty_score":0.02794516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1595575328853501,"score_gpt":0.4736280693710158,"score_spread":0.3140705364856657,"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."}}