{"id":"W6947722435","doi":"10.48448/axzg-7v02","title":"One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflection; Transformer; Hallucinating; Reduplication; Hidden Markov model; Feature (linguistics); Pattern recognition (psychology); Inflection point","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008557977,0.0004051608,0.0006063888,0.002502193,0.0007870818,0.0009271954,0.003849787,0.0001443345,0.02166198],"category_scores_gemma":[0.000522583,0.0003550822,0.0001629259,0.003697276,0.001107338,0.001423357,0.0007307744,0.0005272367,0.001174274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003108708,"about_ca_system_score_gemma":0.0005554938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001659938,"about_ca_topic_score_gemma":0.005614352,"domain_scores_codex":[0.9909059,0.0002791084,0.0009453236,0.001723037,0.005352214,0.000794407],"domain_scores_gemma":[0.9969464,0.0002628347,0.0005714608,0.00172472,0.0002205815,0.0002739995],"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":[0.00003539792,0.0004864066,0.00001963308,0.0000491213,0.00008202419,0.00001540362,0.0009545119,0.006603346,0.0005110878,0.1942803,0.5255665,0.2713962],"study_design_scores_gemma":[0.0005162641,0.0001365991,0.00002184518,0.00003901136,0.00004662363,0.000004637936,0.001030172,0.014837,0.0001210861,0.09133334,0.8913962,0.0005172719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009071412,0.0003113117,0.1020266,0.002467497,0.001722354,0.0007638283,0.0002895967,0.0003520802,0.891976],"genre_scores_gemma":[0.03522346,0.000474935,0.01077902,0.002905035,0.0005443919,0.0001187013,0.0002407252,0.0002702044,0.9494435],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3658297,"threshold_uncertainty_score":0.9998901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190072877094653,"score_gpt":0.4263552269300338,"score_spread":0.2073479392205685,"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."}}