{"id":"W2497430021","doi":"10.1063/1.4955191","title":"Precise control of polymer coated nanopores by nanoparticle additives: Insights from computational modeling","year":2016,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Polymer; Brush; Nanoparticle; Materials science; Nanopore; Polymer brush; Molecular dynamics; Monomer; Nanotechnology; Polymer nanocomposite; Chemical physics; Composite material; Chemistry; Computational chemistry; Polymerization","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":[0.0001109222,0.0001036657,0.0002677128,0.00001275508,0.00004216009,0.00001226436,0.0002333678,0.00002750546,0.000104626],"category_scores_gemma":[0.000085163,0.00005330535,0.00007466722,0.00006288299,0.0002104199,0.0002984199,0.00004571806,0.000080129,0.00002287734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003160455,"about_ca_system_score_gemma":0.00004370091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003183265,"about_ca_topic_score_gemma":2.622557e-7,"domain_scores_codex":[0.9988489,0.000101823,0.0004560459,0.00008344659,0.0003829233,0.0001268859],"domain_scores_gemma":[0.9981716,0.0009247158,0.0004436061,0.0001077057,0.0002938931,0.00005848516],"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":[0.000357539,0.00009738476,0.00002367083,0.000001793586,0.00006458286,5.097425e-7,0.0004664272,0.0007231959,0.9971823,0.00004804926,0.0007884204,0.0002461789],"study_design_scores_gemma":[0.0008909248,0.00003810772,0.000007653516,0.00008914257,0.00005507768,0.000002912512,0.0000955584,0.003439281,0.9903242,0.004969363,0.00001645863,0.0000713441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793218,0.0009471193,0.01897352,0.0003827595,0.0001422325,0.00004068558,0.0001489778,0.000009763056,0.00003318822],"genre_scores_gemma":[0.9996645,0.00001568616,0.0000930942,0.00008150447,0.0001189924,0.000001177481,0.000001497136,0.000009522252,0.00001401949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02034275,"threshold_uncertainty_score":0.2173729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426810106798967,"score_gpt":0.2467489036490288,"score_spread":0.2324808025810391,"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."}}