{"id":"W2971822601","doi":"10.3390/nano9091258","title":"Morphological Transformation of Silver Nanoparticles from Commercial Products: Modeling from Product Incorporation, Weathering through Use Scenarios, and Leaching into Wastewater","year":2019,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Carleton University","funders":"Environment and Climate Change Canada","keywords":"Leaching (pedology); Nanomaterials; X-ray photoelectron spectroscopy; Weathering; Materials science; Wastewater; Nanoparticle; Silver nanoparticle; Environmental chemistry; Energy-dispersive X-ray spectroscopy; Chemical engineering; Inductively coupled plasma mass spectrometry; Nanotoxicology; Weathering steel; Raw material; Metallurgy; Nanotechnology; Chemistry; Scanning electron microscope; Mass spectrometry; Environmental science; Composite material; Environmental engineering; Corrosion; Chromatography; Geology; Organic chemistry; Soil science; Engineering","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":[0.0005498498,0.0002123745,0.0004370817,0.00003663306,0.0001711281,0.0002433804,0.0002059418,0.00009068944,0.0003696925],"category_scores_gemma":[0.00009468187,0.0001684186,0.00003754452,0.000107155,0.00009418682,0.001279937,0.00009717213,0.00005153513,0.0001082381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000365753,"about_ca_system_score_gemma":0.00003726202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355311,"about_ca_topic_score_gemma":0.00004399297,"domain_scores_codex":[0.9980199,0.0002152052,0.0007580763,0.0005134044,0.0002419313,0.0002514782],"domain_scores_gemma":[0.9990666,0.00009639914,0.0002437689,0.0004418995,0.0001003568,0.00005098997],"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":[0.0001117629,0.00009838644,0.001698699,0.00003695776,0.00001117347,7.440794e-7,0.0045369,0.0007927781,0.9919565,0.0003081742,0.00001276173,0.0004351309],"study_design_scores_gemma":[0.000413167,0.00004298019,0.001514966,0.00008240424,0.00003778191,0.000002414614,0.0002845464,0.0015462,0.9935332,0.002156955,0.0001710648,0.0002143362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978124,0.0001413485,0.0004045044,0.0004284573,0.000307204,0.0006630539,0.0001355499,0.00009472932,0.00001278287],"genre_scores_gemma":[0.9848644,0.00002871902,0.01474028,0.000045163,0.0001641963,0.00005702212,0.00006620277,0.00002549589,0.000008566564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01433577,"threshold_uncertainty_score":0.6867913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588047123938871,"score_gpt":0.247034987122188,"score_spread":0.2111545158827993,"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."}}