{"id":"W2550915265","doi":"10.1186/s12859-016-1352-7","title":"Introducing Explorer of Taxon Concepts with a case study on spider measurement matrix building","year":2016,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas; University of Florida; Stony Brook University; National Science Foundation","keywords":"Spider; Taxon; Data science; Biology; Evolutionary biology; Computer science; Matrix (chemical analysis); Computational biology; Geography; Ecology; Chemistry","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":[0.0004934359,0.0001576453,0.0001954501,0.00005581951,0.00005446424,0.00001522236,0.0001336802,0.00009515342,0.000008446907],"category_scores_gemma":[0.0003507505,0.00008602102,0.00004932912,0.00007848525,0.0001412637,0.000006173678,0.00008271416,0.00005655994,0.000007553261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002699711,"about_ca_system_score_gemma":0.00007969757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001522092,"about_ca_topic_score_gemma":0.00003205798,"domain_scores_codex":[0.9988821,0.00004501865,0.0003610154,0.0001765073,0.0003192503,0.0002160907],"domain_scores_gemma":[0.9991663,0.0000361346,0.0001873102,0.0004063226,0.0001327537,0.00007114934],"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":[0.002980148,0.003900094,0.1254171,0.001532642,0.001718862,0.0005666808,0.01851282,0.001225468,0.3036752,0.0005821362,0.01722704,0.5226619],"study_design_scores_gemma":[0.02927514,0.04732363,0.009240285,0.002523263,0.0006506082,0.00353844,0.1758695,0.005025258,0.6696995,0.0001055584,0.05336934,0.003379533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507921,0.00009206303,0.1485187,0.00007010181,0.00009305891,0.0002826503,0.000007768876,0.00002160868,0.000121956],"genre_scores_gemma":[0.9271753,0.000007843946,0.07260523,0.00005052577,0.00008896871,0.00002374254,0.000001899499,0.00001144125,0.00003500945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5192823,"threshold_uncertainty_score":0.3507836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05128918781762937,"score_gpt":0.3172159791570347,"score_spread":0.2659267913394053,"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."}}