{"id":"W3087138371","doi":"10.12688/f1000research.26498.1","title":"The 21st annual Bioinformatics Open Source Conference (BOSC 2020, part of BCC2020)","year":2020,"lang":"en","type":"preprint","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":"Ontario Institute for Cancer Research","funders":"Broad Institute","keywords":"Open source; Library science; Open science; Open data; World Wide Web; Computer science; Software","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.002323802,0.0004260774,0.0005838793,0.00009783144,0.0003555159,0.0005981404,0.005370867,0.0006909376,0.0002222188],"category_scores_gemma":[0.002322507,0.0003099944,0.0002639828,0.0003037031,0.001502939,0.00001359824,0.01603203,0.001352141,0.0002258859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000434384,"about_ca_system_score_gemma":0.002241379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001784399,"about_ca_topic_score_gemma":0.0001415344,"domain_scores_codex":[0.9951633,0.0003435707,0.001152461,0.0006149535,0.001707907,0.001017861],"domain_scores_gemma":[0.9958909,0.0002090879,0.0003985616,0.001619773,0.001221495,0.0006602372],"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":[0.00108741,0.0003508322,0.0007797614,0.002262141,0.0008964322,0.00001858727,0.002071204,0.0001770004,0.01822247,0.0009091506,0.7804115,0.1928135],"study_design_scores_gemma":[0.0008411522,0.001043626,0.0004530562,0.0002033229,0.00003577544,0.0000107226,0.004358766,0.008406362,0.03107304,0.001075913,0.9519418,0.0005564649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.266155,0.02437495,0.05198754,0.1237678,0.0108463,0.03917176,0.02428669,0.0005529542,0.458857],"genre_scores_gemma":[0.798466,0.1054111,0.01729597,0.002134473,0.004884317,0.001006982,0.008967976,0.0004229822,0.06141021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.532311,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0557392087619986,"score_gpt":0.3472987659163192,"score_spread":0.2915595571543206,"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."}}