{"id":"W3172564335","doi":"10.3897/aca.4.e68913","title":"Practical aspects of implementing the IRIDA system as a solution for One Health bioinformatics analyses","year":2021,"lang":"en","type":"article","venue":"ARPHA Conference Abstracts","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Metadata; World Wide Web; Web server; Visualization; Server; Context (archaeology); Interface (matter); Web service; Web application; User interface; The Internet; Operating system; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02348431,0.001714203,0.0017585,0.00203854,0.00326056,0.0131131,0.009164472,0.004201378,0.0252054],"category_scores_gemma":[0.02788331,0.00238406,0.001765624,0.001951321,0.002282748,0.01035773,0.008379542,0.006705289,0.02783345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328666,"about_ca_system_score_gemma":0.009448372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01157384,"about_ca_topic_score_gemma":0.009206642,"domain_scores_codex":[0.9839689,0.003788152,0.001178121,0.004314902,0.004997917,0.001752006],"domain_scores_gemma":[0.9644921,0.007127001,0.001117372,0.01313953,0.009726603,0.004397475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003068942,0.002000803,0.01609583,0.00143837,0.0004361468,0.002560216,0.008138937,0.01004666,0.04909459,0.0503658,0.3414766,0.515277],"study_design_scores_gemma":[0.0009472623,0.001153618,0.01203122,0.0008840312,0.0002990763,0.001866385,0.002870496,0.0849705,0.04131036,0.04140114,0.8112231,0.001042712],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02308608,0.0006338287,0.644272,0.01527715,0.001760398,0.001679649,0.002353743,0.2813836,0.02955356],"genre_scores_gemma":[0.0656862,0.0003547806,0.8972092,0.003401327,0.0004236875,0.0008988319,0.00442595,0.009428603,0.01817146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0252054,"threshold_uncertainty_score":0.1241984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256324037265549,"score_gpt":0.4130921275084238,"score_spread":0.2874597237818689,"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."}}