{"id":"W2108973751","doi":"10.1088/0957-4484/21/7/075501","title":"Cantilever-based sensing: the origin of surface stress and optimization strategies","year":2010,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":137,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; McGill University; Acadia University; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Surface stress; Cantilever; Materials science; Monolayer; Adsorption; Surface (topology); Intermolecular force; Stress (linguistics); Nanotechnology; Chemical physics; Self-assembled monolayer; Molecule; Composite material; Physical chemistry; Surface energy; Chemistry; Organic chemistry","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":[0.0006381415,0.0006491464,0.0004391519,0.0002871277,0.000222608,0.0004714929,0.0005430318,0.0006356606,0.000723718],"category_scores_gemma":[0.0009410407,0.0002989811,0.0001735259,0.0002280118,0.0005777502,0.0007123309,0.0004641836,0.0005250013,0.0002201393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003335216,"about_ca_system_score_gemma":0.0001857684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179935,"about_ca_topic_score_gemma":0.0004150585,"domain_scores_codex":[0.9995977,0.0000771444,0.00001899799,0.00007419896,0.0002022231,0.00002982419],"domain_scores_gemma":[0.9997229,0.0001412909,0.00003573954,0.00003725374,0.0000484173,0.00001435788],"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":[0.00005335126,0.00005543375,0.00066086,0.0002211551,0.00002888013,0.00007055186,0.0001098957,0.007515653,0.926784,0.01032565,0.0001839144,0.05399073],"study_design_scores_gemma":[0.00006351689,0.0008124147,0.00466792,0.00009033643,0.00004692961,0.0004783872,0.0001249808,0.2471218,0.7093186,0.02804213,0.009118428,0.00011468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3451575,0.01043993,0.6346888,0.001135049,0.0001795721,0.000189559,0.00009886614,0.0003530483,0.007757643],"genre_scores_gemma":[0.8053861,0.004293659,0.1871093,0.0002808538,0.00008086753,0.0002484286,0.00005169105,0.0000748878,0.002474378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000723718,"threshold_uncertainty_score":0.003374875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008571410909725087,"score_gpt":0.2401004221883433,"score_spread":0.2315290112786182,"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."}}