{"id":"W6929093930","doi":"10.48448/mb1x-ax52","title":"Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Relevance (law); Function (biology); Named-entity recognition; Entity linking; Named entity","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001355543,0.0004296527,0.0007545267,0.002042637,0.0003966005,0.0001221122,0.000644829,0.0001698882,0.006734662],"category_scores_gemma":[0.004164548,0.0003522162,0.0001099811,0.002568623,0.00143918,0.0002110385,0.000710888,0.001224016,0.0000665258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006471655,"about_ca_system_score_gemma":0.001151947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004567,"about_ca_topic_score_gemma":0.007678912,"domain_scores_codex":[0.9955604,0.000161239,0.0005425395,0.00101231,0.001862308,0.0008611726],"domain_scores_gemma":[0.9983462,0.0001934095,0.0002786093,0.000654447,0.0002509801,0.0002763465],"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":[0.001430256,0.002908257,0.2998082,0.003804572,0.001004027,0.003262719,0.01039795,0.00006675703,0.03306661,0.004874625,0.256023,0.383353],"study_design_scores_gemma":[0.03566815,0.006366176,0.3672785,0.004504158,0.0007726119,0.001216992,0.01845385,0.01487802,0.002343049,0.09866261,0.4405651,0.009290812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2573058,0.002228495,0.0005007013,0.01038068,0.002280308,0.00544864,0.0005478953,0.001442755,0.7198647],"genre_scores_gemma":[0.7681595,0.001008517,0.02320622,0.001183401,0.002090098,0.0006786497,0.001987388,0.0008894136,0.2007968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5190679,"threshold_uncertainty_score":0.999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079762817752399,"score_gpt":0.32522183703327,"score_spread":0.2944242088557459,"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."}}