{"id":"W2607382887","doi":"10.1038/544161c","title":"Plug gap in essential bioinformatics skills","year":2017,"lang":"en","type":"letter","venue":"Nature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Bioinformatics; Computer science; Computational biology; Data science; Biology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01317234,0.0009445245,0.0008335699,0.001262531,0.002697009,0.005428495,0.002524981,0.01409172,0.04178251],"category_scores_gemma":[0.08053937,0.000876417,0.00106987,0.0009328719,0.00442229,0.008933694,0.007197484,0.02679093,0.03067883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521758,"about_ca_system_score_gemma":0.007271853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182953,"about_ca_topic_score_gemma":0.005157147,"domain_scores_codex":[0.9934757,0.002077287,0.0006644735,0.0007028989,0.002168671,0.0009108801],"domain_scores_gemma":[0.8971483,0.0719378,0.002236617,0.007592476,0.007681831,0.01340303],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006910151,0.0000458487,0.0004072229,0.00006095413,0.00001022692,0.0005586778,0.00007841436,0.0001507397,0.0002623497,0.009026587,0.9471216,0.04220816],"study_design_scores_gemma":[0.00007144938,0.00004015346,0.0004507874,0.0002235125,0.00001402348,0.001473282,0.0001306823,0.001202162,0.000494624,0.06681971,0.9290504,0.0000291967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000685774,0.001441383,0.00889293,0.9528111,0.02348637,0.0000347675,0.0001779915,0.001352531,0.01111717],"genre_scores_gemma":[0.01507119,0.00226413,0.01298265,0.8779456,0.05469125,0.0002049149,0.000466411,0.0007987943,0.03557507],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9868277,"threshold_uncertainty_score":0.1397764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008954034975119542,"score_gpt":0.2940049880634011,"score_spread":0.2850509530882815,"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."}}