{"id":"W4385759320","doi":"10.1038/s41587-023-01891-9","title":"Grand challenges in bioinformatics education and training","year":2023,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bioinformatics Solutions (Canada); Ontario Institute for Cancer Research","funders":"","keywords":"Training (meteorology); Medical education; Bioinformatics; Computer science; Data science; Engineering ethics; Medicine; Biology; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0764933,0.001223133,0.001741043,0.002877642,0.009241457,0.01803844,0.007127554,0.01672416,0.05073015],"category_scores_gemma":[0.09178559,0.001026443,0.001180026,0.002524595,0.00774542,0.01726255,0.01566721,0.02701953,0.02054044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009474533,"about_ca_system_score_gemma":0.07084642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01614111,"about_ca_topic_score_gemma":0.02395771,"domain_scores_codex":[0.9714926,0.0130831,0.001230489,0.002136214,0.006497168,0.005560391],"domain_scores_gemma":[0.7749929,0.0812588,0.00371007,0.006681798,0.04026218,0.09309422],"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":[0.000162307,0.0007936984,0.001977651,0.0009895475,0.00005823583,0.0001911586,0.001579488,0.001461431,0.0006998875,0.09016237,0.6561947,0.2457294],"study_design_scores_gemma":[0.0001280759,0.0002485815,0.003505434,0.001873376,0.0000270893,0.0003253782,0.009431258,0.002812778,0.0004747817,0.1746695,0.806373,0.0001308228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007783999,0.005857736,0.004054033,0.9798554,0.003870158,0.00002476456,0.0001001509,0.000162176,0.005297242],"genre_scores_gemma":[0.1742027,0.06093759,0.1115153,0.5262386,0.04902629,0.001577104,0.001646683,0.0008255595,0.07403026],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0764933,"threshold_uncertainty_score":0.4045401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417038867366334,"score_gpt":0.3026785545901938,"score_spread":0.2785081659165305,"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."}}