{"id":"W4389518728","doi":"10.18653/v1/2023.emnlp-main.357","title":"RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data","year":2023,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shield; Computer science; Generator (circuit theory); Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005401669,0.002286356,0.001271526,0.00222222,0.0009046182,0.003620256,0.002680107,0.001978308,0.06945919],"category_scores_gemma":[0.02748549,0.001635464,0.001157533,0.001408662,0.0009003339,0.004858033,0.005040687,0.002407809,0.04813332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942097,"about_ca_system_score_gemma":0.001155561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007441672,"about_ca_topic_score_gemma":0.000701275,"domain_scores_codex":[0.9968889,0.001084251,0.0003712959,0.0005533074,0.0008747312,0.0002275455],"domain_scores_gemma":[0.977168,0.01021245,0.0009852907,0.007904506,0.002605745,0.001124093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004089757,0.0004085652,0.004777845,0.001020125,0.0002815214,0.0012396,0.001962551,0.006570023,0.05260211,0.01356985,0.5378187,0.3756593],"study_design_scores_gemma":[0.0008891784,0.0005856088,0.002703517,0.0002868276,0.0002594531,0.001335479,0.0003452508,0.1516919,0.1974966,0.02811663,0.6160314,0.0002581824],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005695877,0.0001745335,0.5771164,0.0007950269,0.0006470152,0.0005247615,0.008540679,0.3979908,0.008514956],"genre_scores_gemma":[0.1938127,0.0006487768,0.4417773,0.003009529,0.0014305,0.002183147,0.03884579,0.24211,0.07618235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06945919,"threshold_uncertainty_score":0.2323642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1300335500915746,"score_gpt":0.3267851180605534,"score_spread":0.1967515679689788,"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."}}