{"id":"W4366492899","doi":"10.1093/database/baad023","title":"CARD*Shark: automated prioritization of literature curation for the Comprehensive Antibiotic Resistance Database","year":2023,"lang":"en","type":"article","venue":"Database","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Cisco Systems Canada; Canada Foundation for Innovation; McMaster University; Cisco Systems","keywords":"Computer science; Database; Scope (computer science); Prioritization; Task (project management); Information retrieval; Triage; World Wide Web; Data science; Medicine; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002075486,0.0001477664,0.0001505136,0.00005360513,0.0001397709,0.00004600511,0.000245018,0.00008935996,0.000004399316],"category_scores_gemma":[0.0003372355,0.0001184391,0.00006552399,0.0003714465,0.0001053587,0.00002677552,0.0001205548,0.00006442078,0.000009014916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001032624,"about_ca_system_score_gemma":0.00006701533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007933821,"about_ca_topic_score_gemma":0.00004564277,"domain_scores_codex":[0.9989528,0.00006704675,0.0002640935,0.0003527813,0.0001518791,0.0002113794],"domain_scores_gemma":[0.9986531,0.00009359902,0.0001588266,0.000765594,0.0002898691,0.00003906285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002521758,0.00002993945,0.0007914124,0.0004293861,0.00006098395,0.00000726844,0.00005869184,0.00004473746,0.9023647,0.0006996914,0.09513672,0.0001242986],"study_design_scores_gemma":[0.002311247,0.0001911985,0.05095195,0.001146338,0.0001965775,0.00001695501,0.0005621844,0.01271947,0.7380036,0.00005739431,0.1931303,0.000712867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586979,0.003664152,0.01525148,0.0004404353,0.0007607866,0.001463844,0.01939753,0.0002037038,0.0001202246],"genre_scores_gemma":[0.9408724,0.001577904,0.003934307,0.0001318476,0.0002624997,0.00001603898,0.05245346,0.00003931388,0.0007122649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643611,"threshold_uncertainty_score":0.4829805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199321420995732,"score_gpt":0.3013782340759962,"score_spread":0.281446091976423,"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."}}