{"id":"W1955295757","doi":"10.1038/nnano.2015.168","title":"Opto-nanomechanical spectroscopic material characterization","year":2015,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Renewable Energy Laboratory","keywords":"Characterization (materials science); Nanoscopic scale; Nanotechnology; Materials science; Raman spectroscopy; Chemical imaging; Raman scattering; Optics; Hyperspectral imaging; Physics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279359,0.000555319,0.0002437155,0.001201761,0.0008371359,0.0005366246,0.0007006621,0.0005460211,0.00643935],"category_scores_gemma":[0.0009062263,0.0002603738,0.0002034429,0.0005824199,0.0004419184,0.001010734,0.0004831297,0.0004410109,0.001564582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004687379,"about_ca_system_score_gemma":0.0005758338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197195,"about_ca_topic_score_gemma":0.003017155,"domain_scores_codex":[0.9996048,0.00002965694,0.00001896297,0.00008066108,0.0002186442,0.00004739094],"domain_scores_gemma":[0.9994752,0.0001051909,0.00008087529,0.00009325429,0.0002245649,0.00002089188],"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":[0.00004612465,0.0000381964,0.001151206,0.00008206118,0.000005301439,0.00004568556,0.00006290691,0.0002783429,0.9862428,0.0009315859,0.0003769184,0.01073894],"study_design_scores_gemma":[0.000004912498,0.00005936126,0.004706957,0.000009012016,0.000008330722,0.0001387388,0.0000969346,0.005750978,0.9823021,0.000308815,0.006601486,0.00001244011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136867,0.001592691,0.148796,0.0009135451,0.0002489304,0.0006060757,0.003910632,0.001128954,0.02911647],"genre_scores_gemma":[0.9214947,0.0006272631,0.06785622,0.0001891419,0.00003720959,0.0002565071,0.0009788196,0.000147884,0.008412409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00643935,"threshold_uncertainty_score":0.02154177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006346118876526997,"score_gpt":0.2702294519209521,"score_spread":0.2638833330444251,"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."}}