{"id":"W4394410433","doi":"10.6084/m9.figshare.19401731","title":"Additional file 1 of The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Phenotype; Bridging (networking); Xenopus; Model organism; Ontology; Computational biology; Organism; Biology; Computer science; Genetics; Bioinformatics; Gene; Computer security; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00149614,0.001873311,0.001354911,0.003543911,0.0008718836,0.001928692,0.002394285,0.001920946,0.3771636],"category_scores_gemma":[0.0104997,0.0007325191,0.001356516,0.005363828,0.0005476982,0.001730815,0.001717286,0.001667095,0.08728433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001884195,"about_ca_system_score_gemma":0.002627138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224415,"about_ca_topic_score_gemma":0.02318945,"domain_scores_codex":[0.9990976,0.0001219745,0.0001465759,0.0003064349,0.0002008967,0.0001264784],"domain_scores_gemma":[0.9931934,0.004386138,0.0005203836,0.0007043181,0.0008493017,0.0003465156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001712513,0.00007641972,0.002286871,0.002669382,0.0000592402,0.00007099501,0.0000570388,0.0005524854,0.0003126263,0.001059903,0.9886828,0.004001048],"study_design_scores_gemma":[0.001148199,0.00007095162,0.01078236,0.001010475,0.0001275814,0.000304592,0.0001936084,0.00111152,0.001106404,0.004858891,0.9792138,0.00007161251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000700531,0.00001319748,0.00007454197,0.00002993273,0.000005505212,0.00001309215,0.9994246,0.0001242706,0.0002448262],"genre_scores_gemma":[0.0007966856,0.00004180736,0.0006930411,0.00007562766,0.000006158288,0.0001978668,0.9974222,0.00009864262,0.0006680123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3771636,"threshold_uncertainty_score":0.8884005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0839332524157449,"score_gpt":0.3079487255259383,"score_spread":0.2240154731101934,"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."}}