{"id":"W4401789389","doi":"10.1177/2694105820220202003","title":"Conflict Analytics: When Data Science Meets Dispute Resolution","year":2022,"lang":"en","type":"article","venue":"Management and business review.","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Analytics; Data science; Dispute resolution; Data analysis; Conflict resolution; Online dispute resolution; Computer science; Political science; Alternative dispute resolution; Data mining; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006885051,0.00009990297,0.0002443698,0.0002808083,0.001880392,0.0001906004,0.0013756,0.000008791684,0.001440976],"category_scores_gemma":[0.0003719804,0.0000906524,0.00002957005,0.002904254,0.0008128966,0.0007534322,0.002313201,0.0001021256,0.0000570659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001440167,"about_ca_system_score_gemma":0.0001033732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006038614,"about_ca_topic_score_gemma":0.0002290948,"domain_scores_codex":[0.9968827,0.000648158,0.0002542132,0.0005342467,0.00134159,0.0003390665],"domain_scores_gemma":[0.9987848,0.00008120767,0.000123129,0.0006148544,0.000306405,0.00008964467],"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":[0.00002762412,0.000216481,0.003211034,0.001299473,0.0002215023,0.00003713735,0.003684253,0.00008859945,0.00003452193,0.4671239,0.4219652,0.1020903],"study_design_scores_gemma":[0.0001010882,0.000009385457,0.006752099,0.0001087277,0.00008586555,2.663331e-7,0.00125272,0.001793247,5.47271e-7,0.0009595544,0.9888141,0.0001223729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.003671303,0.2260628,0.01819395,0.09193941,0.0006349412,0.004371556,0.0001408251,0.0002077095,0.6547775],"genre_scores_gemma":[0.3460015,0.5717292,0.005407571,0.005741304,0.0004122543,0.0004386925,0.000655463,0.00004269467,0.06957125],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5852063,"threshold_uncertainty_score":0.9994718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2645313786086008,"score_gpt":0.4775478889267745,"score_spread":0.2130165103181736,"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."}}