{"id":"W2127690123","doi":"10.1007/s11249-010-9699-9","title":"A New AFM Nanotribology Method Using a T-Shape Cantilever with an Off-Axis Tip for Friction Coefficient Measurement with Minimized Abbé Error","year":2010,"lang":"en","type":"article","venue":"Tribology Letters","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Cantilever; Materials science; Nanotribology; Nanometre; Atomic force microscopy; Friction coefficient; Bending; Voltage; Optics; Nanotechnology; Composite material; Physics","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":[0.0003205086,0.0002662191,0.0003709286,0.0001118143,0.0002543254,0.0000329034,0.0002145117,0.0001063299,0.0002528509],"category_scores_gemma":[0.00000472848,0.00020952,0.0000889431,0.0001805629,0.0001278074,0.00008399818,0.00002766078,0.0002588103,0.000004770835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005953867,"about_ca_system_score_gemma":0.0002209765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065837,"about_ca_topic_score_gemma":0.000195537,"domain_scores_codex":[0.9985284,0.00007031488,0.0002702528,0.0005097697,0.0001574767,0.0004638343],"domain_scores_gemma":[0.9990271,0.00006023737,0.0002180044,0.000406839,0.000155594,0.0001322692],"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":[0.0006658198,0.0001901599,0.001712363,0.000009111304,0.0001515009,0.000001682379,0.0003082203,0.0004435024,0.9826053,0.002453543,0.003563848,0.007894897],"study_design_scores_gemma":[0.02040101,0.00341774,0.003407218,0.0001237162,0.001570657,0.0001677509,0.0007514266,0.06417152,0.7188519,0.001202222,0.1834476,0.002487226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4246505,0.000005574382,0.5732737,0.001159664,0.00007892458,0.0006880319,0.0000410894,0.00005746585,0.00004506728],"genre_scores_gemma":[0.5707434,3.03428e-7,0.4278912,0.0007145577,0.0001939617,0.0002737115,0.00008225489,0.00004358793,0.00005701224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2637534,"threshold_uncertainty_score":0.8543978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713750155033401,"score_gpt":0.3119766000377498,"score_spread":0.2848390984874158,"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."}}