{"id":"W2892221324","doi":"10.1038/nbt.4233","title":"Deep learning in biomedicine","year":2018,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":604,"is_retracted":false,"has_abstract":false,"ca_institutions":"MaRS","funders":"","keywords":"Biomedicine; Flexibility (engineering); Deep learning; Computer science; Artificial intelligence; Data science; Risk analysis (engineering); Machine learning; Bioinformatics; Biology; Medicine","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":[0.001471,0.0005576975,0.0007577719,0.0007414229,0.0002725836,0.001354083,0.0008138613,0.00138221,0.004019369],"category_scores_gemma":[0.003546503,0.0003572237,0.0002922943,0.0009329062,0.001071134,0.002137972,0.001615801,0.002496599,0.001131119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038291,"about_ca_system_score_gemma":0.001018259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580626,"about_ca_topic_score_gemma":0.002360201,"domain_scores_codex":[0.9996279,0.0001237189,0.00002505706,0.00007199801,0.0001209822,0.00003029841],"domain_scores_gemma":[0.9983332,0.001001371,0.00008216011,0.0001768013,0.0003070575,0.00009952587],"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":[0.00008030604,0.00009959615,0.001155291,0.000689164,0.0001075482,0.00005611678,0.00005879177,0.07565121,0.002007009,0.1851407,0.04256639,0.6923878],"study_design_scores_gemma":[0.00001369828,0.00003531662,0.0005911486,0.0002107155,0.00002737813,0.00004434951,0.00002602515,0.4307557,0.003011635,0.5213221,0.04394197,0.00001999181],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01097667,0.04434422,0.9039649,0.01845598,0.001600406,0.0000539767,0.0008782093,0.00117186,0.01855379],"genre_scores_gemma":[0.5038999,0.04527141,0.3895487,0.00426591,0.002779306,0.0002449353,0.001859426,0.0003698249,0.05176067],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004019369,"threshold_uncertainty_score":0.01344615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002510414399498334,"score_gpt":0.2589834060732092,"score_spread":0.2564729916737108,"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."}}