{"id":"W2252685024","doi":"10.1021/acsami.5b10406","title":"SU-8-Induced Strong Bonding of Polymer Ligands to Flexible Substrates via in Situ Cross-Linked Reaction for Improved Surface Metallization and Fast Fabrication of High-Quality Flexible Circuits","year":2016,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Layer (electronics); Substrate (aquarium); Molecule; Fabrication; Surface modification; Copper; Adhesive; Epoxy; Metal; Coating; Polymer; Adhesion; Nanotechnology; Chemical engineering; Composite material; Organic chemistry; Metallurgy","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":[0.0001186012,0.0005309519,0.0001868556,0.0001522246,0.000114783,0.0002176876,0.0003964572,0.0002690956,0.001031529],"category_scores_gemma":[0.0001792056,0.000253422,0.0002330547,0.0001213847,0.0001653629,0.0002710406,0.0003291919,0.0004207081,0.0002822191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607877,"about_ca_system_score_gemma":0.00009435171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000139336,"about_ca_topic_score_gemma":0.0002843723,"domain_scores_codex":[0.999863,0.00001837871,0.00001044188,0.00003903409,0.00003169901,0.00003731165],"domain_scores_gemma":[0.999915,0.00001559915,0.00002990641,0.00001751797,0.000009828098,0.00001212799],"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":[0.000006633325,0.000006801829,0.00002896505,0.00002306007,0.000002757231,0.00003314844,0.00001096858,0.00005746374,0.9986194,0.00009066287,0.00002162217,0.001098468],"study_design_scores_gemma":[0.000002514872,0.00002698991,0.0001568488,7.621668e-7,0.00000329023,0.0000489364,0.000003154903,0.0005163691,0.9987541,0.00001617924,0.0004692043,0.00000149547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657804,0.0006845818,0.0312066,0.00007063952,0.00005299948,0.00003584962,0.00008204149,0.0003110419,0.00177584],"genre_scores_gemma":[0.9818827,0.0002819333,0.01546329,0.00002621535,0.00001082377,0.00003161475,0.00008459296,0.00003485951,0.002183894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001031529,"threshold_uncertainty_score":0.003450751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02289919701406942,"score_gpt":0.2899102304213477,"score_spread":0.2670110334072783,"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."}}