{"id":"W2510084867","doi":"10.1007/s00146-016-0673-4","title":"Erratum to: Arguments from authority and expert opinion in computational argumentation systems","year":2016,"lang":"en","type":"erratum","venue":"AI & Society","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Argumentation theory; Performing arts; Expert opinion; Computer science; Management science; Epistemology; Engineering; Philosophy; Medicine; Art","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004615097,0.0003482199,0.000440962,0.00008979445,0.0001880357,0.0004017589,0.0004945357,0.0004919274,0.00001171712],"category_scores_gemma":[0.00002220199,0.0003119133,0.000141463,0.0002486241,0.00002992826,0.0006736877,0.0002686681,0.0004029477,0.0000668487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613421,"about_ca_system_score_gemma":0.0001900408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637536,"about_ca_topic_score_gemma":0.00003616175,"domain_scores_codex":[0.9971896,0.0002096894,0.0006033869,0.0009136575,0.0007292667,0.000354403],"domain_scores_gemma":[0.9988908,0.0001151052,0.0002566874,0.000429192,0.0001397012,0.0001684737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002880447,0.00005319399,0.000565737,0.00007680526,0.00005708925,0.00000114542,0.005365192,0.00006871876,0.0001145304,0.0008056843,0.9912642,0.001624855],"study_design_scores_gemma":[0.002631787,0.0001556749,0.05430397,0.002876784,0.00001724094,0.000008228456,0.0007351883,0.3205475,0.00003326311,0.003595493,0.6136122,0.001482667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002293716,0.008275591,0.8356989,0.006357765,0.1434008,0.002251551,0.0003095232,0.0003390039,0.001073126],"genre_scores_gemma":[0.6731508,0.01931258,0.1240617,0.01864512,0.04030773,0.002967454,0.01352114,0.0006109593,0.1074226],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7116372,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687610133686741,"score_gpt":0.3063577983432659,"score_spread":0.2794816970063985,"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."}}