{"id":"W2911759018","doi":"10.1021/acs.jpcc.8b08215","title":"Attachment and Detachment of Particles from a Surface under Shear Flow","year":2019,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research","keywords":"Laminar flow; Kinetics; Formalism (music); Mechanics; Exponential function; Microfluidics; Shear (geology); Shear flow; Adsorption; Materials science; Volumetric flow rate; Flow (mathematics); Chemistry; Nanotechnology; Physics; Classical mechanics; Composite material; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007935105,0.00007443858,0.0001620903,0.00000394268,0.0000118211,0.000006559314,0.0001122329,0.00003314746,0.00001673228],"category_scores_gemma":[0.000005538536,0.00004563699,0.00004536035,0.00003556033,0.00006345956,0.00002758215,0.00003952649,0.00014232,0.000004006322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002237739,"about_ca_system_score_gemma":0.000007378689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003763637,"about_ca_topic_score_gemma":5.934774e-8,"domain_scores_codex":[0.9995981,0.000008476476,0.0001419704,0.00004157318,0.0001200437,0.00008978261],"domain_scores_gemma":[0.9996885,0.00007766737,0.00005323382,0.0001309407,0.00002178621,0.00002783786],"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":[0.00001590224,0.00003016135,0.0002245545,0.00002992195,0.00005146176,7.851991e-7,0.0001282634,0.004511053,0.9939458,0.000007057442,0.000404269,0.0006507538],"study_design_scores_gemma":[0.0002068175,0.00003387568,0.0005452592,0.00004774805,0.00003956012,0.000007442588,0.0002676143,0.01092411,0.9870884,0.0006233398,0.0001617586,0.00005401084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983439,0.001004635,0.0003070117,0.0001804924,0.00002195597,0.00002475625,0.000004422933,0.00002186316,0.00009092932],"genre_scores_gemma":[0.9993377,0.000122989,0.0004568512,0.000007884142,0.00004841581,6.661909e-8,4.323386e-7,0.000006141925,0.00001953827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006857357,"threshold_uncertainty_score":0.1861023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007821519711980609,"score_gpt":0.2109175565242295,"score_spread":0.2030960368122489,"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."}}