{"id":"W4416431993","doi":"10.12688/f1000research.156426.1","title":"25 Years of BOSC, the Bioinformatics Open Source Conference","year":2024,"lang":"en","type":"article","venue":"F1000Research","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; U.S. Department of Energy; Office of Science; National Science Foundation; National Institutes of Health; Aeronautical Science Foundation of China","keywords":"Open source; Open science; Open data; Event (particle physics); Open peer review; Open university","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001532547,0.0001213915,0.0001544846,0.0001182675,0.00009774251,0.0003468345,0.001692682,0.0001544519,0.0002283334],"category_scores_gemma":[0.0005415808,0.00008417592,0.00009245172,0.0003300936,0.0006749647,0.00001374366,0.001649208,0.0003032728,0.0002623705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001641141,"about_ca_system_score_gemma":0.0005711229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102707,"about_ca_topic_score_gemma":0.00004137807,"domain_scores_codex":[0.9980919,0.00009906517,0.0003765079,0.0002125753,0.0007538226,0.0004661775],"domain_scores_gemma":[0.9988027,0.0001247672,0.00004320604,0.0006129072,0.0002336954,0.00018272],"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":[0.0001786838,0.0001627259,0.0006571519,0.0008011846,0.0003057244,0.00001657954,0.002071727,0.00004094255,0.1209806,0.003410651,0.257899,0.613475],"study_design_scores_gemma":[0.0003775789,0.0006002371,0.001710758,0.0001099387,0.00001331856,0.00001754359,0.001203594,0.01705673,0.05289435,0.0005628228,0.9252505,0.0002026777],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7983822,0.007542777,0.0398707,0.01083838,0.001358595,0.004580835,0.0004652982,0.0001469213,0.1368143],"genre_scores_gemma":[0.9779947,0.002208766,0.001932574,0.0002505655,0.0002360409,0.00004865086,0.0001431222,0.00003395097,0.01715168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673515,"threshold_uncertainty_score":0.3432595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647131531715117,"score_gpt":0.3541532605506322,"score_spread":0.3076819452334811,"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."}}