{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000377314,0.0001238323,0.0001426957,0.0003965716,0.00004772756,0.00001594687,0.0002167297,0.001243442,0.000003136179],"category_scores_gemma":[0.0004952928,0.0001086405,0.00002939858,0.0003195303,0.0002263693,0.000004859513,0.0001963033,0.0004430796,0.00002191058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001156886,"about_ca_system_score_gemma":0.000129316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003101373,"about_ca_topic_score_gemma":0.00007828377,"domain_scores_codex":[0.9990431,0.00001960574,0.0002225387,0.0002231688,0.000148055,0.0003435188],"domain_scores_gemma":[0.9995433,0.00002038083,0.00004829955,0.0002663357,0.00004505788,0.0000766232],"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":[0.00002588242,0.00004947003,0.0002857299,0.0001444091,0.0000201624,0.000003158833,0.0005370651,0.000001232279,0.0301656,0.001750977,0.003726729,0.9632896],"study_design_scores_gemma":[0.001695437,0.0009558872,0.01602592,0.000126803,0.00001485559,0.0001373989,0.0102515,0.001674288,0.09892242,0.004374721,0.8651551,0.0006656676],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606063,0.01530636,0.0001577174,0.01732532,0.0006815388,0.0004337766,0.00002193652,0.0001408669,0.005326218],"genre_scores_gemma":[0.9614716,0.03503054,0.002570818,0.0003442249,0.0001387331,0.00002374648,0.0001293081,0.00001437989,0.000276691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9626239,"threshold_uncertainty_score":0.9590564,"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."}}