{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01597781,0.002091286,0.001290553,0.004860613,0.001228021,0.00407424,0.004606051,0.001809899,0.02685297],"category_scores_gemma":[0.0458105,0.002699327,0.002667244,0.003725276,0.001468004,0.01054232,0.005288737,0.003289466,0.01171098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650012,"about_ca_system_score_gemma":0.003352416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290152,"about_ca_topic_score_gemma":0.002415769,"domain_scores_codex":[0.9946507,0.001438695,0.0009184904,0.001010718,0.001823091,0.0001584661],"domain_scores_gemma":[0.9675407,0.01838585,0.002315856,0.007449688,0.00347752,0.0008303328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001017628,0.0004745011,0.007987884,0.004593059,0.0005447965,0.001475732,0.008319071,0.00910005,0.04303045,0.06252945,0.2264422,0.6344852],"study_design_scores_gemma":[0.0004243052,0.0004657884,0.00514044,0.0009726572,0.0002050697,0.001828147,0.001147801,0.08461258,0.07358461,0.05679628,0.7741722,0.000650087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002117612,0.00008867311,0.8229253,0.0004166283,0.0001259671,0.0004775777,0.005045022,0.1662386,0.002564485],"genre_scores_gemma":[0.01832729,0.0002726931,0.934727,0.0003239447,0.00005176407,0.001336452,0.01020492,0.02923012,0.00552587],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02685297,"threshold_uncertainty_score":0.08983213,"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."}}