{"id":"W4403188237","doi":"10.3390/jox14040078","title":"Transformation of Engineered Copper Oxide Nanoparticles in Surface Waters","year":2024,"lang":"en","type":"article","venue":"Journal of Xenobiotics","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Dissolution; Nanoparticle; Copper; Context (archaeology); Chemical engineering; Particle (ecology); Copper oxide; Surface water; Environmental chemistry; Chemistry; Sedimentation; Particle size; Nanotechnology; Materials science; Environmental engineering; Sediment; Environmental science; Geology; Organic chemistry","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":[0.0007390083,0.000068176,0.0001721533,0.00008316711,0.00001840025,0.0000469705,0.0001284701,0.00003701059,0.00003699754],"category_scores_gemma":[0.00003470285,0.00005113282,0.00006250047,0.0002023299,0.00004160422,0.0002481156,0.000008585364,0.00007513152,0.00003114032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004327783,"about_ca_system_score_gemma":0.00005423064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007569904,"about_ca_topic_score_gemma":0.000002775012,"domain_scores_codex":[0.9990133,0.00004297759,0.0005559553,0.00006460229,0.000184297,0.0001388631],"domain_scores_gemma":[0.9995762,0.0001241349,0.00009460848,0.00008716156,0.00006745705,0.00005041078],"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":[0.00001934752,0.00006196221,0.0001747098,0.00005861582,0.000006543454,0.00000496761,0.0007714466,0.006772978,0.990483,0.001190711,0.0001494684,0.0003062932],"study_design_scores_gemma":[0.0001591557,0.00004725951,0.001479337,0.0001588149,0.00002487035,0.00002066042,0.0002628603,0.001731031,0.9952111,0.0002305353,0.0006164827,0.00005789085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978176,0.0004166542,0.0006398461,0.000831058,0.0001527482,0.00006745946,0.00001168496,0.00001244015,0.0000504529],"genre_scores_gemma":[0.9965159,0.00006817569,0.003350904,0.0000144458,0.00002345473,4.584733e-7,4.15777e-7,0.000008642261,0.00001765011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005041947,"threshold_uncertainty_score":0.2085136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455817659218044,"score_gpt":0.2444171835135685,"score_spread":0.2298590069213881,"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."}}