{"id":"W4287887877","doi":"10.18653/v1/2022.trustnlp-1","title":"Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)","year":2022,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Compute Canada","keywords":"Computer science; Trustworthiness; Natural language processing; Programming language; Artificial intelligence; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002745186,0.0003575264,0.0004755552,0.0001871158,0.000288529,0.0002661484,0.003087839,0.0002008418,0.001597073],"category_scores_gemma":[0.0001065518,0.000218083,0.0002211992,0.001019101,0.0001151677,0.0002708414,0.00125161,0.001019875,0.0001321564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008593572,"about_ca_system_score_gemma":0.0002150468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004714594,"about_ca_topic_score_gemma":0.00001898723,"domain_scores_codex":[0.9976941,0.00003251989,0.0003749072,0.0006879998,0.0007836102,0.0004268192],"domain_scores_gemma":[0.9987341,0.0001314801,0.0004378936,0.0005271797,0.0001242028,0.00004519128],"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":[0.00003549818,0.0001205838,0.00009828855,0.000421169,0.00007054826,0.00001263639,0.003719887,0.00007679222,0.000266186,0.006816827,0.7966936,0.191668],"study_design_scores_gemma":[0.002017744,0.0005033737,0.003943624,0.002556356,0.0001936538,0.0002334552,0.01841324,0.03979186,0.01456136,0.0008638872,0.9133192,0.003602285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02643041,0.02163447,0.0007589444,0.004124162,0.01000892,0.00110765,0.00001846775,0.0003729381,0.935544],"genre_scores_gemma":[0.3316343,0.0002277278,0.00302419,0.001678843,0.00049191,0.0000945892,0.00001587147,0.00005003438,0.6627825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3052039,"threshold_uncertainty_score":0.9993156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125641609925274,"score_gpt":0.2608450258984049,"score_spread":0.2482808649058775,"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."}}