{"id":"W6910492592","doi":"10.48448/cjc8-5755","title":"Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Automatic summarization; Inference; Unsupervised learning; Sentence; Transformer; Multi-document summarization","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":[0.000793196,0.001030644,0.001034213,0.0008649082,0.0002937613,0.0006863797,0.001289371,0.0008349562,0.002228436],"category_scores_gemma":[0.002875175,0.000438128,0.000818146,0.0009844196,0.000293207,0.001218702,0.0005927249,0.001171006,0.001528788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005070879,"about_ca_system_score_gemma":0.000946354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297686,"about_ca_topic_score_gemma":0.008600374,"domain_scores_codex":[0.9994131,0.0002115515,0.00003349549,0.0002172381,0.00007869628,0.00004586559],"domain_scores_gemma":[0.9987825,0.0007925722,0.0001168766,0.0001180707,0.000154491,0.00003541992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002819459,0.0002187989,0.001114459,0.0003113466,0.0002170282,0.0001913916,0.0001736846,0.4010456,0.01969269,0.009216972,0.01174614,0.5557899],"study_design_scores_gemma":[0.00001486334,0.00004927993,0.0001844832,0.000006501215,0.00001998623,0.00001937186,0.00001342434,0.9913629,0.002960211,0.004409258,0.0009523587,0.000007279404],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02201181,0.0006382558,0.9708338,0.0002114595,0.00004191494,0.00005155449,0.0004274937,0.00460521,0.001178568],"genre_scores_gemma":[0.4801372,0.0005437516,0.5019718,0.0004136579,0.0001940639,0.0002849529,0.00649894,0.0009960432,0.008959493],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003297686,"threshold_uncertainty_score":0.007454872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0385452430017343,"score_gpt":0.3039090864426731,"score_spread":0.2653638434409388,"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."}}