{"id":"W2331210574","doi":"10.1021/ar200113c","title":"Nanoparticle ζ -Potentials","year":2011,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":331,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Electrophoresis; Electrokinetic phenomena; Electrophoretic light scattering; Nanoparticle; Nanotechnology; Surface charge; Particle (ecology); Colloid; Coating; Chemistry; Materials science; Computer science; Dynamic light scattering; Chromatography; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004512489,0.00093747,0.0006227339,0.0006252087,0.001121358,0.002202993,0.001504673,0.002013287,0.008543693],"category_scores_gemma":[0.001370248,0.0003883929,0.0004940755,0.000396534,0.001109935,0.001974203,0.001714795,0.002125555,0.004892588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627666,"about_ca_system_score_gemma":0.0004336427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005281941,"about_ca_topic_score_gemma":0.0004881446,"domain_scores_codex":[0.9992929,0.00007949887,0.00003227038,0.0001801303,0.0003207804,0.00009443543],"domain_scores_gemma":[0.9996892,0.00008588223,0.00003251395,0.00003445449,0.0001218174,0.0000360894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001172894,0.00006097955,0.0004532011,0.0008998396,0.00004404755,0.0005292668,0.0005129215,0.006690753,0.2230228,0.6851933,0.01856991,0.06390552],"study_design_scores_gemma":[0.00006540056,0.0002182213,0.0006280912,0.0002523635,0.0000378435,0.001104683,0.0003817811,0.03122167,0.2686645,0.2531943,0.4440663,0.0001647818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08400218,0.06600594,0.4356696,0.009738656,0.005849431,0.0005074803,0.001684997,0.001184618,0.395357],"genre_scores_gemma":[0.7496747,0.02941595,0.0617844,0.003882682,0.0006460513,0.0008911725,0.001689767,0.0003578828,0.1516573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008543693,"threshold_uncertainty_score":0.0285815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144363221517315,"score_gpt":0.380892491034425,"score_spread":0.2664561688826935,"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."}}