{"id":"W2543287382","doi":"10.1021/acssuschemeng.6b00991","title":"pH Responsive Bioactive Lead Sulfide Nanomaterials: Protein Induced Morphology Control, Bioapplicability, and Bioextraction of Nanomaterials","year":2016,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of the North Atlantic","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Nanomaterials; Chemistry; Alginic acid; Aqueous solution; Nanoparticle; Lysozyme; Chemical engineering; Aqueous two-phase system; Nanotechnology; Materials science; Organic chemistry; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006528807,0.000257846,0.0004477416,0.00002380373,0.00009075095,0.00004948972,0.0002474994,0.0002873983,0.00008496545],"category_scores_gemma":[0.0008272529,0.0001154077,0.00005749208,0.0001900829,0.0001163004,0.0002451157,0.0001512132,0.00007369708,0.00000399083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001629186,"about_ca_system_score_gemma":0.00003130079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000180941,"about_ca_topic_score_gemma":0.000001033311,"domain_scores_codex":[0.9983469,0.00008194026,0.0004651066,0.0004561573,0.000154524,0.000495398],"domain_scores_gemma":[0.9989457,0.0003054934,0.0002602567,0.0001653943,0.0002292658,0.00009386332],"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":[0.0001792952,0.00003594442,0.00007655515,0.0001969781,0.00003390192,0.0000207284,0.00002932571,0.000002320972,0.9980347,0.0001499845,0.000004369756,0.001235897],"study_design_scores_gemma":[0.0004019307,0.0001614455,0.0009042344,0.00008315573,0.00001201501,0.00005341098,0.0003822306,0.000003799098,0.9963351,0.0001858622,0.001232644,0.0002441674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983499,0.000172581,0.00003960351,0.0003164996,0.0000726751,0.0007843124,0.00006513777,0.0001255961,0.00007366618],"genre_scores_gemma":[0.9990985,0.00001477378,0.00005113893,0.000005973694,0.0001960424,0.0002704354,0.000007367611,0.000005102028,0.0003506096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001699595,"threshold_uncertainty_score":0.470619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010318485240927,"score_gpt":0.2039501220569246,"score_spread":0.1936316368159977,"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."}}