{"id":"W4389069101","doi":"10.1002/pen.26585","title":"Improved pressure‐sensitive adhesive performance using carboxylated cellulose nanocrystals via blending","year":2023,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Montreal Biodome; Queen's University; University of British Columbia; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Adhesive; Composite material; Homogenizer; Mixing (physics); Central composite design; Factorial experiment; Cellulose; Chemical engineering; Response surface methodology; Chromatography; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613261,0.0003796718,0.0003415112,0.0002107552,0.00008236534,0.000310702,0.0001904671,0.0002825018,0.0005677519],"category_scores_gemma":[0.0003322525,0.0001977768,0.0002837045,0.000228627,0.0001070983,0.0003084551,0.0001643893,0.0003397051,0.0001702621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233085,"about_ca_system_score_gemma":0.0001547344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000621103,"about_ca_topic_score_gemma":0.001218918,"domain_scores_codex":[0.9997587,0.00002845697,0.000025241,0.00006452901,0.00008161043,0.00004145968],"domain_scores_gemma":[0.9997446,0.00006018599,0.0000844262,0.0000177863,0.00005217165,0.00004083355],"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":[0.00004073506,0.00001890678,0.00003821891,0.00001807933,0.000002993662,0.000007941137,0.000003759737,0.00006870348,0.9991421,0.000008497265,0.000004079841,0.0006460263],"study_design_scores_gemma":[0.000005049451,0.0002002757,0.0005890798,0.000001682211,0.000008709647,0.00001084858,0.000002996555,0.0006151492,0.9983677,0.000002199795,0.0001934932,0.000002861881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973678,0.0004047136,0.001753261,0.00001166483,0.00001253864,0.00001808368,0.00006069473,0.00002476009,0.0003466352],"genre_scores_gemma":[0.9932837,0.0003819534,0.005333595,0.00001851437,0.000007078163,0.00003284429,0.00008544106,0.00002048025,0.0008363652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000621103,"threshold_uncertainty_score":0.0023458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566293846823748,"score_gpt":0.2545870775142897,"score_spread":0.2389241390460522,"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."}}