{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002556246,0.0001237857,0.0001726824,0.0002515762,0.00008996856,0.00005927275,0.0002015654,0.0001891396,0.000256163],"category_scores_gemma":[0.0009637482,0.00009122839,0.00003137227,0.0003431836,0.0001246011,0.00005379473,0.0001240482,0.001355333,0.0005253017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005421725,"about_ca_system_score_gemma":0.00002010776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002377045,"about_ca_topic_score_gemma":0.0003122646,"domain_scores_codex":[0.9986407,0.0002805558,0.0001897875,0.0002808718,0.0001220362,0.0004861015],"domain_scores_gemma":[0.9990736,0.0005151693,0.000006532047,0.0001941519,0.00004118673,0.0001693474],"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":[0.0002528562,0.00002460632,0.0002922822,0.00001137267,0.000003831959,0.00001968639,0.00008642842,0.00005384259,0.9945999,0.00006342559,0.0008199036,0.00377184],"study_design_scores_gemma":[0.00103493,0.000339498,0.04521304,0.00005639908,0.000002640886,0.0001746519,0.0003158803,0.001608612,0.6615215,0.00009567284,0.2891259,0.0005112169],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967605,0.00009447685,0.00003332994,0.0007280137,0.0002105717,0.0002208002,0.0000113109,0.00008758612,0.001853388],"genre_scores_gemma":[0.9976903,0.00005684571,0.0006230063,0.0001038947,0.00003874159,0.00002148087,0.000005104795,0.00001257397,0.001448096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3330784,"threshold_uncertainty_score":0.6751866,"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."}}