{"id":"W4221021719","doi":"10.1093/pnasnexus/pgac026","title":"Mistletoe viscin: a hygro- and mechano-responsive cellulose-based adhesive for diverse material applications","year":2022,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Max-Planck-Gesellschaft; Canada Research Chairs","keywords":"Adhesive; Materials science; Composite material; Cellulose; Adhesion; Natural materials; Nanotechnology; Polymer science; Chemical engineering; 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":[0.0001301023,0.0003185752,0.000113442,0.0002696714,0.0001682154,0.0001920939,0.0001382259,0.0003828722,0.0007127054],"category_scores_gemma":[0.00008907923,0.00009473567,0.0001263221,0.0001953895,0.0001198572,0.0002813047,0.0001862329,0.0003499196,0.0001890408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001627752,"about_ca_system_score_gemma":0.0001106042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002467635,"about_ca_topic_score_gemma":0.0008075174,"domain_scores_codex":[0.9999298,0.000009049601,0.000003284912,0.00001404754,0.00002824972,0.00001551242],"domain_scores_gemma":[0.9999411,0.000009624811,0.00001974245,0.000004352597,0.00000932182,0.00001582978],"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":[0.00001288712,0.000007928587,0.0000982858,0.00004196563,0.00000177263,0.00004514324,0.00001052181,0.00005690385,0.9966559,0.0001401045,0.00008416022,0.002844443],"study_design_scores_gemma":[0.000003682413,0.0001186354,0.002253004,0.00001132929,0.000008614277,0.0003203644,0.00001861951,0.0008454489,0.9884701,0.00005698891,0.007885979,0.000007291554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556851,0.01258,0.02412758,0.0004107595,0.0001382132,0.00008049008,0.0003602678,0.0001815643,0.006436098],"genre_scores_gemma":[0.9730248,0.004661599,0.01565563,0.000210346,0.00003756313,0.00004052331,0.0002121834,0.00003802462,0.006119324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007127054,"threshold_uncertainty_score":0.002384186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152191657773755,"score_gpt":0.2204736444437172,"score_spread":0.2089517278659797,"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."}}