{"id":"W4392419846","doi":"10.7202/1109098ar","title":"LA AUTOMATIZACIÓN DE LA MEDIACIÓN A TRAVÉS DE LA INTELIGENCIA ARTIFICIAL: UN RETO PARA EL ESTATUTO DEL MEDIADOR (MEDIADOR-ROBOT VS. MEDIADOR-HUMANO)","year":2024,"lang":"es","type":"article","venue":"Lex Electronica","topic":"Legal processes and jurisprudence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.008237836,0.001020537,0.001140356,0.0004824927,0.0009729171,0.002160539,0.002098431,0.001811204,0.0008138868],"category_scores_gemma":[0.003357502,0.0009896493,0.0006259044,0.002474033,0.003041537,0.0009876007,0.000312087,0.003530254,0.0005087251],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646237,"about_ca_system_score_gemma":0.01041738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003379237,"about_ca_topic_score_gemma":0.002267814,"domain_scores_codex":[0.9885497,0.003336121,0.001383409,0.00161862,0.001973056,0.003139062],"domain_scores_gemma":[0.9905092,0.006905129,0.0004167237,0.0008115917,0.0002393876,0.001118025],"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":[0.0005195424,0.001301034,0.001755437,0.001840718,0.0009833095,0.001829293,0.09378336,0.0001751764,0.02068728,0.6312126,0.02599167,0.2199206],"study_design_scores_gemma":[0.001454541,0.001314937,0.008136091,0.002146069,0.001347622,0.000368193,0.004696641,0.01333046,0.02278044,0.2690208,0.6720374,0.00336688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7793121,0.07493832,0.01102812,0.03341534,0.005757622,0.003029871,0.0003117305,0.004572181,0.08763466],"genre_scores_gemma":[0.9675184,0.02551257,0.001318209,0.0008395058,0.003604824,0.0003184623,0.00004845858,0.0002303563,0.0006092468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6460457,"threshold_uncertainty_score":0.9996716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107473193988067,"score_gpt":0.3643775589185728,"score_spread":0.3536302395197661,"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."}}