{"id":"W3047604378","doi":"10.1073/pnas.2003945117","title":"Nanoscale force sensing of an ultrafast nonlinear optical response","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Femtosecond; Nonlinear system; Polarization (electrochemistry); Optical force; Ultrashort pulse; Cantilever; Optics; Physics; Nanoscopic scale; Microscopy; Photon; Dielectric; Nonlinear optics; Materials science; Optoelectronics; Nanotechnology; Chemistry; Optical tweezers; Laser","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":[0.0001612236,0.0002000428,0.0001552695,0.0002336323,0.0002259801,0.0002511118,0.0003052907,0.0004418094,0.00113109],"category_scores_gemma":[0.0004868386,0.0001211838,0.0000850014,0.0001165916,0.0003223431,0.0004714606,0.0003345738,0.0003869699,0.0002402314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742083,"about_ca_system_score_gemma":0.000156599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005274739,"about_ca_topic_score_gemma":0.0007551936,"domain_scores_codex":[0.9998108,0.00001857166,0.00000503765,0.00004559281,0.00009548615,0.00002467037],"domain_scores_gemma":[0.9998124,0.00007823062,0.00004561664,0.00001658531,0.00003180047,0.00001531777],"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":[0.00002708184,0.00001770902,0.0003647158,0.00002956626,0.000002598457,0.00003449164,0.00002893904,0.0003459253,0.9907375,0.001136628,0.000139163,0.007135768],"study_design_scores_gemma":[0.00001515221,0.0001180052,0.003186306,0.000009736866,0.000007205641,0.0002276469,0.00005564927,0.0227697,0.9686257,0.0008675531,0.004099469,0.00001784873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215766,0.001562534,0.06858414,0.000427381,0.0001474679,0.00003344438,0.0002223569,0.0002730496,0.00717317],"genre_scores_gemma":[0.9720177,0.0003976699,0.02582004,0.00008154463,0.00003853101,0.00002607442,0.00005364316,0.00001071815,0.001554056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00113109,"threshold_uncertainty_score":0.003783882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929403321630316,"score_gpt":0.3197844134424928,"score_spread":0.2904903802261896,"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."}}