{"id":"W2910767715","doi":"10.1039/c8nr08057g","title":"Tailoring adhesion of anionic surfaces using cationic PISA-latexes – towards tough nanocellulose materials in the wet state","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Wallenberg Wood Science Center; Knut och Alice Wallenbergs Stiftelse","keywords":"Nanocellulose; Cationic polymerization; Adhesion; Materials science; Adsorption; Chemical engineering; Polymer science; Nanotechnology; Polymer chemistry; Composite material; Chemistry; Cellulose; Organic 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":[0.0001442504,0.000413938,0.0001891329,0.0001581983,0.0001082258,0.0003021453,0.0001821355,0.0002912337,0.0007768687],"category_scores_gemma":[0.0002457917,0.000162894,0.0002352991,0.0001472754,0.0001760206,0.0002262248,0.0002713121,0.0004022543,0.0004417525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002339966,"about_ca_system_score_gemma":0.0001204016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003440583,"about_ca_topic_score_gemma":0.0005913069,"domain_scores_codex":[0.9998752,0.00001331069,0.00001037997,0.00003580756,0.00003514366,0.00003008773],"domain_scores_gemma":[0.9998337,0.00003798249,0.00005033303,0.00001362253,0.00003026378,0.00003414679],"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":[0.000008422881,0.000003798004,0.00002442107,0.00001104658,0.000001772043,0.000008995428,0.000005577537,0.00003729316,0.9996457,0.000009614335,0.000002780564,0.0002405086],"study_design_scores_gemma":[0.000001950949,0.00005184283,0.0006370583,0.000001716156,0.000004324673,0.00002350023,0.000007423908,0.0003744597,0.9986157,0.000006723343,0.0002727532,0.000002579943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949168,0.0003664059,0.003928809,0.00002556727,0.00000856335,0.00001664818,0.00008093012,0.00006324895,0.000593067],"genre_scores_gemma":[0.9939512,0.0004023027,0.003997378,0.0000371156,0.000005525208,0.0000363519,0.0001454847,0.00003574083,0.001388881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007768687,"threshold_uncertainty_score":0.002598822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270758336018308,"score_gpt":0.3013200691191698,"score_spread":0.2686124857589867,"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."}}