{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008653996,0.0001493972,0.000147719,0.0001158226,0.0004910938,0.0000425286,0.0001116488,0.00004522856,0.0005857379],"category_scores_gemma":[0.00002124026,0.0001690845,0.00007424876,0.000156663,0.00002666381,0.00009101733,0.00004193051,0.000114435,0.0000336002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001420815,"about_ca_system_score_gemma":0.00003884374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006018466,"about_ca_topic_score_gemma":0.00002119673,"domain_scores_codex":[0.9992123,0.00004035765,0.000176603,0.0002251464,0.0001333835,0.0002122664],"domain_scores_gemma":[0.999412,0.0002046383,0.00004232928,0.0001895333,0.00006414716,0.00008734727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001618563,0.0006460067,0.0005652729,0.0006413397,0.0004888225,0.00005827295,0.00726243,0.1450029,0.6867179,0.01292672,0.1366394,0.007432447],"study_design_scores_gemma":[0.001627565,0.0003780625,0.000377813,0.000017531,0.0001682965,0.000040361,0.003676214,0.09795538,0.1124654,0.002853586,0.779734,0.0007058244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7350498,0.0007015474,0.2456411,0.001037669,0.004961889,0.003693406,0.002875135,0.00141477,0.004624604],"genre_scores_gemma":[0.9949525,0.00001183265,0.001650831,0.0001108944,0.0001889829,0.001318187,0.0001371387,0.0000474757,0.001582146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6430945,"threshold_uncertainty_score":0.6895067,"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."}}