{"id":"W3101981777","doi":"10.1093/database/baaa079","title":"Measurement Recorder: developing a useful tool for making species descriptions that produces computable phenotypes","year":2020,"lang":"en","type":"article","venue":"Database","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Agriculture and Agri-Food Canada; University of Manitoba","funders":"National Science Foundation","keywords":"Computer science; Usability; Software; Set (abstract data type); Ontology; Reuse; Variation (astronomy); Character (mathematics); Information retrieval; Data science; Software engineering; Human–computer interaction; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0002403099,0.0001254028,0.000134872,0.00001933822,0.000142866,0.00004497489,0.0001871519,0.00005881916,0.00001753661],"category_scores_gemma":[0.0006341485,0.0001106547,0.00004858747,0.00007739422,0.00006725681,0.000006680304,0.0001576005,0.00005984437,0.000007891816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001726948,"about_ca_system_score_gemma":0.0001068232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005694515,"about_ca_topic_score_gemma":0.00003330935,"domain_scores_codex":[0.999059,0.00003085271,0.00014946,0.0003707665,0.0001582822,0.0002316621],"domain_scores_gemma":[0.9995693,0.00001376875,0.00005774645,0.0002114713,0.00009651194,0.0000511901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000572174,0.0001920572,0.01541869,0.0008092318,0.0003587549,0.00001311561,0.0006344827,0.00007095023,0.6160818,0.0008843497,0.2819309,0.08303358],"study_design_scores_gemma":[0.0004306985,0.0001543636,0.001365447,0.00009538631,0.00002894017,0.000004194712,0.0002707004,0.0002495641,0.0819675,0.000040278,0.91514,0.0002529542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2192136,0.004027871,0.7663577,0.00801827,0.0006220062,0.0006969587,0.0006482002,0.0001456776,0.0002696388],"genre_scores_gemma":[0.8540167,0.0001599525,0.141918,0.002343414,0.0006439593,0.00007956636,0.0007047637,0.00002442858,0.0001091962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6348031,"threshold_uncertainty_score":0.4512366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1723905253619712,"score_gpt":0.3014869736680668,"score_spread":0.1290964483060956,"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."}}