{"id":"W3213543119","doi":"10.5281/zenodo.4529733","title":"Conflict Resolution with Equitative Algorithms: A Tool to Establish A European Common Ground of Available Rights","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Dispute Resolution and Class Actions","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Conflict resolution; Dispute resolution; Inheritance (genetic algorithm); Political science; Resolution (logic); Civil procedure; Common ground; Focus (optics); Dispute mechanism; Asset (computer security); Alternative dispute resolution; Computer science; Law and economics; Law; Artificial intelligence; Geography; Computer security; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03456505,0.001385373,0.00150669,0.009032888,0.00234884,0.01180307,0.003763883,0.002779882,0.01278047],"category_scores_gemma":[0.1220816,0.0008240647,0.001570733,0.007869827,0.003933534,0.01199442,0.009848954,0.003745328,0.002605074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677378,"about_ca_system_score_gemma":0.004106884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451775,"about_ca_topic_score_gemma":0.001044899,"domain_scores_codex":[0.9693766,0.01775414,0.00336376,0.002910359,0.005924877,0.0006702144],"domain_scores_gemma":[0.9183012,0.05109407,0.006859724,0.0165797,0.006190758,0.000974511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001762609,0.0002522811,0.003060529,0.0002772341,0.000102158,0.0001863499,0.003065047,0.03448357,0.0009193808,0.6802576,0.006252701,0.2709668],"study_design_scores_gemma":[0.0001173161,0.0001151338,0.0008741083,0.00039597,0.00004756854,0.0003250769,0.001388846,0.3240938,0.004348938,0.5702175,0.09798555,0.00009021922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004011987,0.00009216808,0.9884687,0.000322246,0.00004173362,0.000163197,0.0001830665,0.001581344,0.005135519],"genre_scores_gemma":[0.05088174,0.0000767054,0.9467006,0.0001047855,0.00003952197,0.0003663709,0.0004950476,0.000377033,0.0009581543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03456505,"threshold_uncertainty_score":0.1827996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539068254891987,"score_gpt":0.2307708813973313,"score_spread":0.2153801988484114,"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."}}