{"id":"W2070667091","doi":"10.1016/j.micres.2010.03.004","title":"Cytoplasmic membrane response to copper and nickel in Acidithiobacillus ferrooxidans","year":2010,"lang":"en","type":"article","venue":"Microbiological Research","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University; University of Guelph; Laurentian University","funders":"","keywords":"Membrane fluidity; Membrane; Biology; Strain (injury); Bacterial outer membrane; Fatty acid; Copper; Bacteria; Metal; Biochemistry; Biophysics; Metallurgy; Escherichia coli; Materials science; Gene; Genetics","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":[0.0002175699,0.000364121,0.0004935695,0.0001679697,0.000374527,0.0005697368,0.0004006023,0.000471626,0.000809295],"category_scores_gemma":[0.0004525692,0.0002618411,0.0002480609,0.0003058565,0.0003913899,0.0004587168,0.0004451049,0.0006845095,0.0002759968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126954,"about_ca_system_score_gemma":0.0005561935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284454,"about_ca_topic_score_gemma":0.006019196,"domain_scores_codex":[0.9997664,0.00003381064,0.00001683033,0.00004354164,0.00007353656,0.00006589058],"domain_scores_gemma":[0.999788,0.00005300311,0.00003605905,0.0000219473,0.0000725346,0.00002839699],"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":[0.0003148378,0.00001917238,0.0002933041,0.00002200643,0.000002614137,0.00005161246,0.0000798418,0.00003120623,0.9986778,0.000073927,0.00003818687,0.0003954057],"study_design_scores_gemma":[0.00003267132,0.0002881385,0.02042923,0.000009226326,0.0000152641,0.0003631715,0.0008339033,0.001660362,0.9748129,0.0001360604,0.001403189,0.00001590076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981642,0.0002488489,0.0005004084,0.0001919203,0.00002428112,0.000007926075,0.0002192208,0.00002329194,0.0006198011],"genre_scores_gemma":[0.9967527,0.0001372308,0.000479655,0.00003758088,0.000008174433,0.00001316599,0.0004403254,0.00001340269,0.002117793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01284454,"threshold_uncertainty_score":0.02553952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0477682818732447,"score_gpt":0.3329870048813796,"score_spread":0.2852187230081348,"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."}}