{"id":"W2811400602","doi":"10.1016/j.ultramic.2018.06.016","title":"Thermal nanometrology using piezoresistive SThM probes with metallic tips","year":2018,"lang":"en","type":"article","venue":"Ultramicroscopy","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Seventh Framework Programme; FP7 Ideas: European Research Council; Canadian Meteorological and Oceanographic Society","keywords":"Scanning thermal microscopy; Piezoresistive effect; Materials science; Nanometrology; Resistive touchscreen; Microelectromechanical systems; Silicon; Focused ion beam; Thermoelectric effect; Nanotechnology; Optoelectronics; Scanning probe microscopy; Thermal; Deflection (physics); Nanoscopic scale; Atomic force microscopy; Optics; Electrical engineering; Engineering; Chemistry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008335918,0.0002241473,0.000228488,0.00007880569,0.0003220058,0.00007516054,0.0002383496,0.00004766355,0.0005922372],"category_scores_gemma":[0.000001650922,0.0001774862,0.0000700559,0.0003022657,0.0004846388,0.0001099701,0.00004363642,0.0001508756,0.00009643331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003225415,"about_ca_system_score_gemma":0.00007304467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004182466,"about_ca_topic_score_gemma":0.000005970802,"domain_scores_codex":[0.9989095,0.00002806882,0.0001980969,0.0003715563,0.0000911698,0.0004016085],"domain_scores_gemma":[0.9993145,0.00002624073,0.0001273582,0.0003431712,0.0001160953,0.00007256727],"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":[0.00005242262,0.0001425608,0.0116358,0.000007369617,0.00009018215,5.74486e-7,0.000195036,0.000008619262,0.9731546,0.01331252,0.0002726683,0.001127652],"study_design_scores_gemma":[0.0004231964,0.0003694209,0.001435212,0.00002975018,0.00007622598,0.000005004467,0.000163142,0.0003763524,0.978824,0.001245857,0.01670562,0.0003462755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9044972,0.00002953765,0.08969504,0.00005887539,0.00004232579,0.000379379,0.00007705118,0.00009570174,0.005124876],"genre_scores_gemma":[0.945299,8.932244e-7,0.05364916,0.0001185537,0.0002411665,0.00006473592,0.00004396607,0.00004085834,0.0005416145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04080183,"threshold_uncertainty_score":0.7237678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015335673973838,"score_gpt":0.2756289556364668,"score_spread":0.2654755988967284,"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."}}