{"id":"W4401687590","doi":"10.35626/sv.27.2023.361","title":"Inteligencia artificial, derechos humanos y archivos","year":2023,"lang":"es","type":"article","venue":"Studium Veritatis","topic":"Legal processes and jurisprudence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009032806,0.0003336506,0.0004437578,0.0002210084,0.001528003,0.0005236024,0.0007739642,0.0001819224,0.0004907016],"category_scores_gemma":[0.0009135735,0.0003423287,0.0001867485,0.002098822,0.0006817704,0.0004036723,0.000373854,0.0004244674,0.006943317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124386,"about_ca_system_score_gemma":0.0004326564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003833856,"about_ca_topic_score_gemma":0.002962939,"domain_scores_codex":[0.9964689,0.0002779637,0.0005632357,0.0006983565,0.0009987734,0.0009927739],"domain_scores_gemma":[0.9983515,0.0005733076,0.0002026753,0.000379549,0.0002451861,0.0002478083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000170602,0.0007895654,0.01207605,0.001080834,0.0005834763,0.0004738526,0.2093873,0.00004789694,0.004018317,0.2867798,0.2606063,0.223986],"study_design_scores_gemma":[0.0007176058,0.001025768,0.07404665,0.0006605425,0.0003189424,0.000004123112,0.07813661,0.0004813354,0.002736264,0.09473035,0.7451571,0.001984759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8541192,0.001853296,0.0005964126,0.02128657,0.005750321,0.001710493,0.0003652142,0.001084878,0.1132336],"genre_scores_gemma":[0.9886236,0.005169914,0.0002296146,0.0003520938,0.001133147,0.00009294855,0.00001495005,0.00004733445,0.004336419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4845507,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000889057157572,"score_gpt":0.3845484080613496,"score_spread":0.3345395174897739,"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."}}