{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004492497,0.001344033,0.0007407488,0.001734959,0.001537888,0.01027282,0.001879559,0.002206035,0.01134446],"category_scores_gemma":[0.01393003,0.0006352951,0.001302099,0.001575257,0.006801106,0.01089295,0.003712584,0.003251958,0.00205606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002360492,"about_ca_system_score_gemma":0.002232488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004920544,"about_ca_topic_score_gemma":0.00322607,"domain_scores_codex":[0.9957748,0.001461841,0.0002099704,0.0008265463,0.001383369,0.000343433],"domain_scores_gemma":[0.9890783,0.00691789,0.0007961231,0.001328629,0.001645462,0.0002334716],"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":[0.0005255773,0.0001484207,0.00876586,0.002646823,0.0001571153,0.0005405127,0.02486799,0.01177194,0.02268038,0.6081227,0.007025911,0.3127468],"study_design_scores_gemma":[0.00009166345,0.0008326555,0.02513636,0.00341504,0.0004028014,0.001723614,0.02806812,0.05985547,0.0785066,0.3275363,0.4738538,0.0005776333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1116308,0.01242011,0.7003705,0.006971444,0.001219879,0.0002941837,0.0003801083,0.001333549,0.1653794],"genre_scores_gemma":[0.7424331,0.01024205,0.2025089,0.001682073,0.0005501394,0.0004578103,0.0002790733,0.000632896,0.04121396],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01134446,"threshold_uncertainty_score":0.03795099,"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."}}