{"id":"W4283156118","doi":"10.2174/1570164619666220617145437","title":"Heavy Metal Stress Tolerance by Serratia nematodiphila sp. MB307: Insightsfrom Mass Spectrometry-based Proteomics","year":2022,"lang":"en","type":"article","venue":"Current Proteomics","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"","keywords":"Proteome; Bacteria; Cadmium; Environmental chemistry; Environmental remediation; Chemistry; Rhizosphere; Tandem mass tag; Hyperaccumulator; Proteomics; Zinc; Heavy metals; Phytoremediation; Biology; Quantitative proteomics; Biochemistry; Contamination; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004080563,0.0003672209,0.0003521834,0.00008601585,0.0005084777,0.0001159991,0.000583369,0.00008169143,0.001542317],"category_scores_gemma":[0.00003549291,0.0003449871,0.0001522226,0.0006227597,0.0001642206,0.0003104281,0.0003324289,0.0006230107,0.0001251045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000802958,"about_ca_system_score_gemma":0.00008470789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000980385,"about_ca_topic_score_gemma":0.0000320055,"domain_scores_codex":[0.9972571,0.0002050257,0.0004492395,0.000726151,0.0008330838,0.0005294565],"domain_scores_gemma":[0.9989403,0.00004010506,0.0003179886,0.0004967968,0.00001440448,0.0001903425],"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":[0.0002330187,0.0009386027,0.0231941,0.00012852,0.00002782434,0.00001210043,0.0003243916,0.009733424,0.9572765,0.0001194927,0.0065446,0.001467483],"study_design_scores_gemma":[0.003334705,0.000794467,0.007439656,0.00007051112,0.0001009613,0.00001462158,0.000121659,0.07718942,0.880023,0.0008747944,0.02850146,0.001534751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735233,0.0004023632,0.02099926,0.0005647611,0.00112005,0.002533824,0.0004569785,0.0001244968,0.0002750025],"genre_scores_gemma":[0.9815473,0.00003432876,0.01645441,0.000206651,0.0002505691,0.0007668167,0.000580226,0.00005651746,0.0001032007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07725345,"threshold_uncertainty_score":0.9999002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020905279259197,"score_gpt":0.2253250523527114,"score_spread":0.2151159995601195,"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."}}