{"id":"W2088895097","doi":"10.5942/jawwa.2013.105.0154","title":"Nanomaterials: Removal processes and beneficial applications in treatment","year":2013,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"University of Cincinnati","keywords":"Nanomaterials; Water treatment; Nanotechnology; Titanium dioxide; Environmental science; Materials science; Environmental engineering","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":[0.0001866238,0.0001226263,0.0002151,0.00005803054,0.0001403344,0.000225887,0.00008946673,0.00004455304,0.0001610605],"category_scores_gemma":[0.00003643255,0.00008669636,0.0000210997,0.0002388228,0.00005326233,0.0002474957,0.00003013061,0.00002634157,0.000277006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002246346,"about_ca_system_score_gemma":0.00002680005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275515,"about_ca_topic_score_gemma":0.0001566512,"domain_scores_codex":[0.9989591,0.00006610175,0.0002709699,0.0002726758,0.000130888,0.0003003176],"domain_scores_gemma":[0.9994265,0.0001339018,0.0001612958,0.0001492707,0.00007348408,0.00005557227],"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":[0.000007416251,0.0002117654,0.02168669,0.00001063674,0.000009704094,4.643348e-7,0.001045677,0.00002776814,0.9451827,0.0001834225,0.00006693562,0.03156685],"study_design_scores_gemma":[0.0004046791,0.0001001799,0.03604796,0.000029243,0.00003973391,0.000002934449,0.0009667178,0.0001291337,0.9543912,0.001657087,0.005898418,0.0003326446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980104,0.00008231764,0.0001740816,0.0009521069,0.00003181831,0.000513298,0.00001167977,0.00006766825,0.0001566578],"genre_scores_gemma":[0.9974455,0.0001017432,0.001109879,0.00005854656,0.00009842525,0.0009687858,0.00002278961,0.00001376631,0.0001805636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0312342,"threshold_uncertainty_score":0.3560444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007778672546147493,"score_gpt":0.23051189854295,"score_spread":0.2227332259968025,"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."}}