{"id":"W2146353465","doi":"10.1063/1.2943201","title":"Ion distribution in multilayers of weak polyelectrolytes: A neutron reflectometry study","year":2008,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; National Research Council Canada; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Polyelectrolyte; Counterion; Neutron reflectometry; Salt (chemistry); Allylamine; Substrate (aquarium); Acrylic acid; Materials science; Ion; Chemical engineering; Chemistry; Neutron; Neutron scattering; Copolymer; Small-angle neutron scattering; Composite material; Polymer; Organic chemistry; Physics; Geology","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":[0.0003871082,0.0001030095,0.0002966214,0.00003511233,0.00004213832,0.000005904242,0.000252443,0.00002765935,0.00001094421],"category_scores_gemma":[0.0001156618,0.00006830534,0.00007747149,0.0003250311,0.0001299238,0.0001999474,0.00005915657,0.0002745637,0.000007104135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118938,"about_ca_system_score_gemma":0.00004535459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005569606,"about_ca_topic_score_gemma":0.000001752465,"domain_scores_codex":[0.9987714,0.0001244088,0.0004634633,0.00007893317,0.0003845033,0.0001773108],"domain_scores_gemma":[0.9989612,0.0002706919,0.0004462721,0.0001472196,0.0001378953,0.00003674779],"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":[0.0004325526,0.0004379512,0.00208436,0.000004365856,0.00002122259,0.000002556148,0.001077845,0.00009647943,0.9954887,0.000004856355,0.0002285864,0.0001205465],"study_design_scores_gemma":[0.0006179325,0.0002202012,0.00595215,0.00002670012,0.00003022687,0.00003296831,0.000512151,0.00004849789,0.9923849,0.00009247351,0.00001988306,0.00006193799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991544,0.0002361814,0.0001784066,0.0001217026,0.0001527499,0.0000780367,0.000005600436,0.000007392789,0.00006553531],"genre_scores_gemma":[0.9997697,0.00003595688,0.00003598252,0.00001923598,0.000119861,0.000001268275,5.377809e-7,0.000007193373,0.0000102001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00386779,"threshold_uncertainty_score":0.2785411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788652662715967,"score_gpt":0.3042978298172543,"score_spread":0.2764113031900947,"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."}}