{"id":"W1968743967","doi":"10.1021/la050448j","title":"Viscoelastic Response of Poly(dimethylsiloxane) in the Adhesive Interaction with AFM Tips","year":2005,"lang":"en","type":"article","venue":"Langmuir","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Chemistry; Office of Naval Research","keywords":"Viscoelasticity; Adhesive; Atomic force microscopy; Materials science; Composite material; Chemical engineering; Nanotechnology; Layer (electronics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001138703,0.00006633146,0.00007898015,0.00004215914,0.0000374851,0.00001276047,0.000114826,0.00001640436,0.0001220966],"category_scores_gemma":[0.000002022277,0.00004283929,0.00002921779,0.0001447369,0.00003363456,0.00005644202,0.00001366028,0.00009621367,0.00002875743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001324835,"about_ca_system_score_gemma":0.0000141859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307823,"about_ca_topic_score_gemma":0.00002427362,"domain_scores_codex":[0.9995951,0.00004630915,0.0001103861,0.00009163415,0.00006027614,0.000096263],"domain_scores_gemma":[0.9996669,0.00009065981,0.00006241055,0.0001502431,0.00001815459,0.00001165448],"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":[0.003115367,0.002096248,0.06225813,0.00007139206,0.0001817601,0.000008595907,0.02326569,0.000412297,0.6210796,0.168612,0.02508784,0.0938111],"study_design_scores_gemma":[0.001537798,0.0006867136,0.07480203,0.000205256,0.0000911115,0.0000211363,0.008371918,0.0009796579,0.6518459,0.001903407,0.2589786,0.0005765666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98619,0.00003898863,0.007796216,0.0008964037,0.000008209528,0.0001852175,0.00002126807,0.00001901402,0.004844669],"genre_scores_gemma":[0.9977278,5.073216e-7,0.001687071,0.00007474606,0.00006472956,0.00005418788,0.00001353239,0.0000077278,0.0003696925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2338907,"threshold_uncertainty_score":0.1746936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007997832659669045,"score_gpt":0.2811490987852994,"score_spread":0.2731512661256304,"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."}}