{"id":"W4392419853","doi":"10.7202/1109096ar","title":"CONFLICT TRANSFORMATION THROUGH DIGITAL MEDIATION: A STUDY OF BRAZIL'S JUDICIARY COURTS","year":2024,"lang":"en","type":"article","venue":"Lex Electronica","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mediation; Transformation (genetics); Political science; Conflict transformation; Law; Law and economics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003531794,0.0002483018,0.0005906837,0.001489328,0.01077595,0.007426763,0.001468762,0.001727068,0.004187385],"category_scores_gemma":[0.01140112,0.0005156516,0.0002645759,0.002258964,0.007591745,0.004007641,0.005160423,0.002555466,0.0003695019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006768677,"about_ca_system_score_gemma":0.007170623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05940293,"about_ca_topic_score_gemma":0.1461069,"domain_scores_codex":[0.9969132,0.001791581,0.0001226447,0.000299354,0.0003627832,0.0005104065],"domain_scores_gemma":[0.9948422,0.002758265,0.0009801899,0.0002882165,0.0003267553,0.0008044043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001406493,0.0002542543,0.01523644,0.00009678856,0.000007230145,0.001735455,0.9608731,0.00006487284,0.0005710586,0.009962089,0.000587639,0.010597],"study_design_scores_gemma":[0.00001100065,0.0000852506,0.01978086,0.0002030591,0.000009288769,0.0005787702,0.9554393,0.0003002971,0.0001931637,0.001742658,0.02163839,0.00001806221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821441,0.0003884833,0.0003924704,0.001890593,0.00001314659,0.00007507929,0.00002788968,0.000004980494,0.01506325],"genre_scores_gemma":[0.9973283,0.0003374503,0.0002169392,0.0003753356,0.000007300119,0.00003242052,0.00001159381,0.000005111136,0.001685629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05940293,"threshold_uncertainty_score":0.1181144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486804914013247,"score_gpt":0.2694113641644552,"score_spread":0.2545433150243227,"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."}}