{"id":"W4280573845","doi":"10.1007/s00253-022-11963-6","title":"Machine learning: its challenges and opportunities in plant system biology","year":2022,"lang":"en","type":"review","venue":"Applied Microbiology and Biotechnology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of British Columbia; University of Guelph","funders":"","keywords":"Systems biology; Omics; Computer science; Data integration; Key (lock); Metabolomics; Proteomics; Big data; Data science; Pace; Genomics; Computational biology; Biology; Bioinformatics; Data mining; Genome","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":[0.002040065,0.001030131,0.001707446,0.002035202,0.0003485915,0.002425456,0.001457703,0.002322484,0.002516742],"category_scores_gemma":[0.002605507,0.0003464273,0.0004294274,0.004221675,0.002017049,0.003960257,0.001134737,0.004120425,0.001393155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232835,"about_ca_system_score_gemma":0.001806141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00193207,"about_ca_topic_score_gemma":0.002881235,"domain_scores_codex":[0.9995427,0.0001410605,0.00003719342,0.00005976401,0.0001883964,0.00003087904],"domain_scores_gemma":[0.9972782,0.001978784,0.0001057804,0.00006901416,0.0004400558,0.0001281896],"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":[0.00005673882,0.00005963885,0.0002027527,0.00608697,0.00008143708,0.0000657949,0.00005929631,0.0009723523,0.0004495391,0.01713259,0.03718299,0.9376499],"study_design_scores_gemma":[0.00002235939,0.0000905019,0.0008515577,0.004350246,0.00008355104,0.0004891666,0.0001067605,0.001352359,0.0003635981,0.04027233,0.9519689,0.00004862023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005352274,0.9968118,0.0009081419,0.001371721,0.0003083548,0.00000163702,0.000009832737,0.000008765473,0.0005262714],"genre_scores_gemma":[0.0009599627,0.9958819,0.000978438,0.0006809028,0.0009815169,0.000005334066,0.00002068378,0.000004296086,0.0004869336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002516742,"threshold_uncertainty_score":0.01078898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06299162445051475,"score_gpt":0.2665272775073915,"score_spread":0.2035356530568767,"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."}}