{"id":"W3005534461","doi":"10.1002/adma.201906886","title":"Exploiting Supramolecular Interactions from Polymeric Colloids for Strong Anisotropic Adhesion between Solid Surfaces","year":2020,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020 Framework Programme; Aalto-Yliopisto; H2020 European Research Council; Division of Materials Research; Australian Synchrotron; Australian Nuclear Science and Technology Organisation","keywords":"Materials science; Adhesion; Adhesive; Nanotechnology; Anisotropy; Supramolecular chemistry; Biomimetics; Self-assembly; Colloid; Evaporation; Nanostructure; Composite material; Aqueous solution; Chemical engineering; Chemical physics; Crystallography; Crystal structure; Chemistry; Optics","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":[0.00009153763,0.0002197857,0.0001240931,0.0001611396,0.0001390989,0.0002490446,0.0001579937,0.0001814743,0.0009078839],"category_scores_gemma":[0.0001341557,0.0001312442,0.0001077659,0.000113151,0.0001568989,0.0001743127,0.000351985,0.0003802055,0.0003537018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000209373,"about_ca_system_score_gemma":0.0001280064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068396,"about_ca_topic_score_gemma":0.0008660119,"domain_scores_codex":[0.9999214,0.000006858873,0.00000558897,0.00001549461,0.0000295883,0.00002107642],"domain_scores_gemma":[0.9999193,0.00001632535,0.00002119227,0.000008797135,0.00001197744,0.00002248725],"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":[0.000005600746,0.00001047002,0.00004798846,0.00001980604,0.000002087155,0.00002724918,0.00001218769,0.0001517163,0.9981255,0.0002026225,0.00005730489,0.001337465],"study_design_scores_gemma":[0.000009335939,0.0000934126,0.001214298,0.000004890798,0.00000557534,0.00006208306,0.00001930046,0.004580111,0.9915267,0.00009894436,0.002376104,0.000009346924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857041,0.0005714583,0.00867835,0.00008782656,0.00004041148,0.00002533673,0.00007717924,0.000185929,0.004629397],"genre_scores_gemma":[0.9955404,0.0001883486,0.003276909,0.00003573,0.00000787705,0.00001686659,0.00003961171,0.00001489947,0.0008793106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009078839,"threshold_uncertainty_score":0.003037214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02681439183570004,"score_gpt":0.2765886029292551,"score_spread":0.249774211093555,"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."}}