{"id":"W3040460291","doi":"10.1371/journal.pcbi.1009803","title":"Ten quick tips for deep learning in biology","year":2022,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Institute of Dental and Craniofacial Research; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; National Institute of Food and Agriculture; National Heart, Lung, and Blood Institute; Allegheny Health Network; National Science Foundation of Sri Lanka; Moffitt Cancer Center; Lustgarten Foundation; Grand Rapids Community Foundation; Gordon and Betty Moore Foundation; National Human Genome Research Institute; Hope Foundation; U.S. Department of Agriculture; National Science Foundation","keywords":"Artificial intelligence; Deep learning; Machine learning; Computer science; Context (archaeology); Active learning (machine learning); Task (project management); Instance-based learning; Set (abstract data type); Data science; 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":[0.007509443,0.002353397,0.00123213,0.001771155,0.001428563,0.005020209,0.00262179,0.003851427,0.01338359],"category_scores_gemma":[0.0434827,0.001279571,0.0009497477,0.001567462,0.006023459,0.0140932,0.004165554,0.01826875,0.005107467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566077,"about_ca_system_score_gemma":0.001802432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184485,"about_ca_topic_score_gemma":0.00300419,"domain_scores_codex":[0.9968997,0.00132198,0.0001963784,0.0004475606,0.0009080822,0.0002263991],"domain_scores_gemma":[0.9765113,0.01823828,0.0004475542,0.001882888,0.001963054,0.0009569832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004105447,0.0001783833,0.001342058,0.000828539,0.0001605909,0.0001645557,0.0003046428,0.009747602,0.001819412,0.4604082,0.1236251,0.4010105],"study_design_scores_gemma":[0.00008042423,0.00008973452,0.0003593755,0.000435406,0.00003187033,0.0001154722,0.0001071788,0.01817797,0.001648002,0.8807834,0.09810742,0.00006369164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003454675,0.03259746,0.8779105,0.06227364,0.005577507,0.0001243433,0.0005015531,0.002241066,0.01531929],"genre_scores_gemma":[0.1122618,0.03668908,0.7803583,0.02748444,0.01177506,0.0006945187,0.001013023,0.002261178,0.02746267],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01338359,"threshold_uncertainty_score":0.04477257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421684826323487,"score_gpt":0.308183027642918,"score_spread":0.2839661793796831,"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."}}