{"id":"W1996146606","doi":"10.1016/j.jcis.2008.01.046","title":"Effect of particle size and natural organic matter on the migration of nano- and microscale latex particles in saturated porous media","year":2008,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":310,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"DLVO theory; Microscale chemistry; Particle (ecology); Colloid; Nanomaterials; Chemical engineering; Particle size; Nanoparticle; Chemical physics; Ionic strength; Natural organic matter; Particle aggregation; Surface charge; Chemistry; Humic acid; Filtration (mathematics); Materials science; Nanotechnology; Organic matter; Organic chemistry; Geology; Physical 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":[0.0005904665,0.00006193364,0.0001199798,0.00003358917,0.00008568151,0.00002085552,0.0001204765,0.00001470582,0.00005316793],"category_scores_gemma":[0.0001240543,0.00003593557,0.00001247133,0.0002882017,0.0008610751,0.0003317617,0.00008982635,0.00007666751,0.000003127359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000357114,"about_ca_system_score_gemma":0.000008705139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004850067,"about_ca_topic_score_gemma":0.0000774948,"domain_scores_codex":[0.9992939,0.0000610539,0.0002160156,0.00009897488,0.0002123907,0.0001176168],"domain_scores_gemma":[0.9995597,0.0001693159,0.0001439291,0.00006825153,0.0000164246,0.00004238691],"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":[0.00005644666,0.00001873797,0.1536857,0.000004067639,0.000002299262,5.016452e-7,0.001090905,0.00001806028,0.8448628,0.000005072218,0.0001844604,0.00007091657],"study_design_scores_gemma":[0.0002406561,0.0002405694,0.4427111,0.00002393769,0.000005894289,0.00002483886,0.0001012635,0.0003642333,0.5562279,0.00001406905,0.00001675432,0.00002872379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990749,0.0001861755,0.000006743461,0.0005469318,0.00005479572,0.00009046209,8.304776e-7,0.000001424046,0.00003771772],"genre_scores_gemma":[0.999711,0.0000702919,0.00006585845,0.00005665592,0.000003730516,6.465881e-7,2.452082e-8,0.000002233583,0.00008954928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2890255,"threshold_uncertainty_score":0.3172667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00492513222033573,"score_gpt":0.2069940558581517,"score_spread":0.202068923637816,"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."}}