{"id":"W3191937661","doi":"10.1098/rsta.2020.0330","title":"How latex film formation and adhesion at the nanoscale correlate to performance of pressure sensitive adhesives with cellulose nanocrystals","year":2021,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; University of Ottawa; CelluForce (Canada); McMaster University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland","keywords":"Materials science; Adhesive; Composite material; Acrylate; Emulsion polymerization; Methyl methacrylate; Surface roughness; Adhesion; Chemical engineering; Polymer; Contact angle; Methacrylate; Colloid; Butyl acrylate; Coalescence (physics); Polymerization; Copolymer; Layer (electronics)","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":[0.0001367338,0.0002030607,0.0001365351,0.0001514034,0.0001020714,0.0003680703,0.0001494645,0.0002524932,0.0009087746],"category_scores_gemma":[0.0004791604,0.0001990944,0.0001555055,0.0001749227,0.0001348803,0.0003271679,0.0001273586,0.0003999216,0.0002940516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002395397,"about_ca_system_score_gemma":0.0001065492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268928,"about_ca_topic_score_gemma":0.001677996,"domain_scores_codex":[0.9997982,0.00001377915,0.00001604378,0.00005489157,0.00007388264,0.0000431776],"domain_scores_gemma":[0.9996769,0.00009775069,0.000107358,0.00001897271,0.00006727045,0.00003172623],"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":[0.00001365822,0.000006575339,0.0003667302,0.0000131475,0.000003212373,0.00001480569,0.00001453462,0.00003505124,0.9989361,0.00001563393,0.00001341344,0.0005671098],"study_design_scores_gemma":[9.994242e-7,0.00003346209,0.006814799,0.000001723446,0.000006884593,0.00002616831,0.00002038902,0.0006441458,0.992258,0.000009104267,0.0001811203,0.000003265072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955987,0.0004424726,0.002822404,0.00003764255,0.00001175076,0.00001166917,0.0001802407,0.00003605327,0.0008592141],"genre_scores_gemma":[0.996866,0.0003364281,0.001580211,0.00002961399,0.00000417657,0.00002364846,0.0001885699,0.00001735597,0.0009539682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268928,"threshold_uncertainty_score":0.003040135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008697471179158077,"score_gpt":0.1943726436945595,"score_spread":0.1856751725154014,"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."}}