{"id":"W4394544620","doi":"10.6084/m9.figshare.19401734","title":"Additional file 2 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; Organism; Computational biology; Model organism; Biology; Ontology; Computer science; Genetics; 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":[0.001500573,0.001764307,0.001402414,0.0034529,0.000933682,0.002075237,0.002344094,0.001767705,0.4427495],"category_scores_gemma":[0.01014235,0.0007384986,0.001334611,0.005282158,0.000539701,0.001734864,0.001677174,0.001651951,0.09771498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740376,"about_ca_system_score_gemma":0.002408687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01316152,"about_ca_topic_score_gemma":0.02397047,"domain_scores_codex":[0.9990871,0.0001208,0.000145908,0.0003120541,0.0001955591,0.0001385313],"domain_scores_gemma":[0.9933588,0.004131712,0.0005251921,0.000720403,0.0008942261,0.0003696869],"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":[0.0001590365,0.00006878257,0.002081337,0.002216335,0.00005058001,0.00006216044,0.00005057745,0.0003971422,0.0002598596,0.0008245192,0.9901472,0.003682621],"study_design_scores_gemma":[0.001121386,0.00006618092,0.0105135,0.0009172709,0.0001144396,0.000259874,0.0001914815,0.0008180577,0.0009990195,0.00429835,0.9806331,0.00006749124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006132533,0.00001040515,0.00006152914,0.00002888401,0.00000579217,0.00001331595,0.9994503,0.0001089015,0.0002595387],"genre_scores_gemma":[0.0007730682,0.00003424762,0.0006466525,0.00007923351,0.000007403185,0.0002132577,0.9973355,0.0001087996,0.0008018084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4427495,"threshold_uncertainty_score":0.7948502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0813036634809764,"score_gpt":0.3073642430765197,"score_spread":0.2260605795955433,"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."}}