{"id":"W7063947288","doi":"","title":"Aggregation and transport of nanoscale zerovalent iron particles in model groundwater systems: role of particle coatings and biofilms","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Zerovalent iron; Particle aggregation; Particle (ecology); Groundwater remediation; Environmental remediation; Rhamnolipid; Nanoparticle; Nanomaterials; Permeable reactive barrier","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002177698,0.0002547799,0.0002808952,0.0001593282,0.0002140857,0.000341288,0.000196863,0.0003585916,0.0001451169],"category_scores_gemma":[0.0001622941,0.0001139347,0.0002112797,0.0001290528,0.0001514153,0.0002252236,0.0001958666,0.0002523662,0.000056608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003873402,"about_ca_system_score_gemma":0.0002789994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007185167,"about_ca_topic_score_gemma":0.004861007,"domain_scores_codex":[0.9998654,0.00002383954,0.00001056077,0.00003544544,0.0000335512,0.00003117156],"domain_scores_gemma":[0.9999175,0.00002374129,0.00002148681,0.000005468036,0.00002224539,0.000009561604],"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":[0.00008403532,0.00005332626,0.001950152,0.00006288879,0.000007308907,0.00005760821,0.00008087002,0.0006559499,0.9948171,0.00009511458,0.0000227946,0.002112776],"study_design_scores_gemma":[0.00001587992,0.0008739633,0.015005,0.00001617954,0.00003187367,0.0001135877,0.0002271529,0.02653546,0.9561997,0.0001579748,0.0008038155,0.00001947583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984597,0.000392759,0.0008231304,0.00002905713,0.000003578387,0.00001239336,0.00006216947,0.000008812714,0.0002084269],"genre_scores_gemma":[0.9974673,0.0004606021,0.001518236,0.00001240438,0.000002806024,0.00001525892,0.00008695666,0.000002669907,0.0004337004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007185167,"threshold_uncertainty_score":0.0142867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390484787937114,"score_gpt":0.2395474516979443,"score_spread":0.2256426038185732,"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."}}