{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001230631,0.000328479,0.0002681779,0.000254717,0.000191535,0.000479549,0.0001723836,0.0003131728,0.0003860625],"category_scores_gemma":[0.0001310988,0.0001238482,0.000158092,0.0002583023,0.0001490564,0.0002329717,0.0002627541,0.0002501367,0.0003430038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173985,"about_ca_system_score_gemma":0.0002080395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143797,"about_ca_topic_score_gemma":0.003262791,"domain_scores_codex":[0.9998869,0.000008616812,0.000008969104,0.00002312868,0.00005200014,0.00002045138],"domain_scores_gemma":[0.9999388,0.000009571871,0.000015133,0.000006826182,0.00001981474,0.000009873775],"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":[0.00006632434,0.00001212581,0.001745315,0.0000311793,0.000003508374,0.00004494429,0.00002357533,0.00002157814,0.9965395,0.00001048643,0.00005314166,0.001448395],"study_design_scores_gemma":[0.00002638123,0.0006181267,0.3440711,0.00004474999,0.0000769798,0.001310925,0.0008630444,0.001594055,0.6454012,0.00009638099,0.005858923,0.00003803903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970953,0.0007730631,0.0003961759,0.0001068633,0.00001142428,0.000007553963,0.0007902561,0.00002747087,0.0007917173],"genre_scores_gemma":[0.9937506,0.0009933587,0.001296655,0.00008417731,0.000008628869,0.00001158004,0.002121375,0.00001628769,0.001717298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003143797,"threshold_uncertainty_score":0.006250978,"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."}}