{"id":"W1858420640","doi":"10.1111/j.1574-6941.2010.00965.x","title":"Tolerance of Pseudomonas pseudoalcaligenes KF707 to metals, polychlorobiphenyls and chlorobenzoates: effects on chemotaxis-, biofilm- and planktonic-grown cells","year":2010,"lang":"en","type":"article","venue":"FEMS Microbiology Ecology","topic":"Environmental remediation with nanomaterials","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Biofilm; Chemotaxis; Biology; Pseudomonas; Biphenyl; Bacteria; Microbiology; Metalloid; Metal; Environmental chemistry; Bioremediation; Microorganism; Biodegradation; Metal toxicity; Biochemistry; Heavy metals; Chemistry; Ecology; Organic chemistry; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001572252,0.0007741189,0.0005114653,0.0002554296,0.00020764,0.000463434,0.0003212567,0.0004044126,0.0004839438],"category_scores_gemma":[0.0002666283,0.0001250939,0.0002899485,0.0003760312,0.0002141355,0.0002486747,0.0004820045,0.0002511906,0.000370765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002716799,"about_ca_system_score_gemma":0.0003618061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003509505,"about_ca_topic_score_gemma":0.002575956,"domain_scores_codex":[0.9995105,0.0000769407,0.00005514853,0.00007435399,0.0001819824,0.0001010691],"domain_scores_gemma":[0.9998353,0.0000267971,0.00003200136,0.00001967294,0.00005933698,0.0000268948],"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":[0.00008923915,0.00004195106,0.0005586313,0.00005827606,0.000005872934,0.000042192,0.00003140171,0.0000688834,0.997445,0.0000209682,0.00002694268,0.00161062],"study_design_scores_gemma":[0.000008859854,0.0006300121,0.01884063,0.000007164734,0.00002798661,0.000373361,0.0002140028,0.0007646293,0.9778161,0.00004086009,0.001252986,0.00002348661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968353,0.0007045398,0.0009429344,0.0001091038,0.00001907846,0.00002285658,0.0005592749,0.00004516372,0.0007618686],"genre_scores_gemma":[0.9931834,0.0007896165,0.002408533,0.00007308873,0.00001323337,0.0000615824,0.001417891,0.00001794827,0.002034626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003509505,"threshold_uncertainty_score":0.006978154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003849371750619962,"score_gpt":0.1888233865518174,"score_spread":0.1849740148011975,"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."}}