{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726876,0.0003220764,0.0001424624,0.0001545559,0.0001406295,0.0002249299,0.0001373931,0.0002547741,0.0003116956],"category_scores_gemma":[0.0001606236,0.0001980448,0.0001507746,0.000118469,0.0002537455,0.0001870845,0.0001789309,0.0001857365,0.0001480821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002501591,"about_ca_system_score_gemma":0.0001563174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003535894,"about_ca_topic_score_gemma":0.0009927687,"domain_scores_codex":[0.9998652,0.00002261233,0.00001254592,0.00003527117,0.00004449586,0.00001999194],"domain_scores_gemma":[0.9999096,0.00002326894,0.00002090171,0.000009966881,0.00002618272,0.0000100805],"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":[0.00001075265,0.000002243064,0.00001842366,0.000007621315,5.524802e-7,0.000007567201,0.000006019994,0.00002905043,0.999666,0.00001402807,0.000003398045,0.0002343344],"study_design_scores_gemma":[0.00000104383,0.00001418922,0.0001412023,3.698023e-7,0.000001100179,0.00001156276,0.000002595447,0.0001924016,0.999544,0.000006284357,0.00008451316,7.185074e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866374,0.0006232308,0.01144813,0.00007756784,0.00001703065,0.00002326187,0.0001032177,0.0001043706,0.000965724],"genre_scores_gemma":[0.9928343,0.0004226514,0.005034057,0.00002585257,0.000005642733,0.00002182607,0.00009802421,0.00002344205,0.001534164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003535894,"threshold_uncertainty_score":0.001815081,"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."}}