{"id":"W4367309313","doi":"10.1371/journal.pgen.1010732","title":"Overexpression profiling reveals cellular requirements in the context of genetic backgrounds and environments","year":2023,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Fungal and yeast genetics research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Ohsumi Frontier Science Foundation","keywords":"Biology; Profiling (computer programming); Computational biology; Context (archaeology); Genetics; Evolutionary biology; Gene expression profiling; Gene; Gene expression; Computer science","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":[0.000280653,0.0004248125,0.0004238692,0.0003814728,0.0001937816,0.0005431214,0.0002284211,0.0003044272,0.0005044095],"category_scores_gemma":[0.000353966,0.0001948921,0.0003082376,0.0003988835,0.0002979491,0.0003481255,0.0004406094,0.0005636195,0.0003210561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002708035,"about_ca_system_score_gemma":0.0002601366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007259145,"about_ca_topic_score_gemma":0.001840407,"domain_scores_codex":[0.9997252,0.00003686969,0.00003717666,0.00008195679,0.00007648055,0.00004228816],"domain_scores_gemma":[0.9995888,0.0001210982,0.00008988317,0.0000781862,0.0000722045,0.00004993919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001730523,0.000002812636,0.0004064716,0.00001136459,0.000002293862,0.00002420331,0.000006557661,0.00003016788,0.9991562,0.00002402983,0.000004968995,0.0003136914],"study_design_scores_gemma":[0.0000044176,0.00007300029,0.01603216,0.000007467334,0.00004147995,0.0002885362,0.00008180885,0.001313543,0.9802405,0.0001099679,0.001794797,0.00001228526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776787,0.000736048,0.01904823,0.0001520222,0.0000216627,0.00002873923,0.001251185,0.0002477427,0.0008357026],"genre_scores_gemma":[0.9796198,0.001138273,0.01515844,0.0001187028,0.000008665233,0.00004700759,0.002115528,0.0001845082,0.001609135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007259145,"threshold_uncertainty_score":0.001964808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365876079447627,"score_gpt":0.2883137040830862,"score_spread":0.2446549432886099,"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."}}