{"id":"W2313806264","doi":"10.1063/1.4944559","title":"Low vibration high numerical aperture automated variable temperature Raman microscope","year":2016,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Phase-change materials and chalcogenides","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; National Science Foundation","keywords":"Raman spectroscopy; Raman microscope; Microscope; Materials science; Optics; Polarization (electrochemistry); Optical microscope; Microscopy; Vibration; Thermal; Numerical aperture; SIGNAL (programming language); Optoelectronics; Raman scattering; Scanning electron microscope; Chemistry; Composite material; Acoustics; Physics; Thermodynamics; Computer science; Wavelength","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009817996,0.000241742,0.0005002937,0.00008227804,0.00025952,0.0002399961,0.0004816892,0.000117004,0.003844693],"category_scores_gemma":[0.0002013534,0.0001449785,0.00008928301,0.0004794872,0.0002230252,0.000532211,0.0001500308,0.00005252348,0.000667746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007720645,"about_ca_system_score_gemma":0.0001299794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001437428,"about_ca_topic_score_gemma":8.32684e-7,"domain_scores_codex":[0.9976595,0.000165785,0.000635769,0.0005766297,0.0005469843,0.0004153154],"domain_scores_gemma":[0.998678,0.00004112709,0.0003562122,0.0005674713,0.0002261431,0.0001310837],"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":[0.00001394132,0.000106994,0.00001654818,0.001603869,0.000009163439,0.000001743534,0.00002030273,1.305731e-7,0.9883422,0.0003093093,0.006337934,0.003237927],"study_design_scores_gemma":[0.0004482706,0.00005845802,0.000103586,0.008050633,0.00003114241,0.00001380767,0.00000529306,0.00004067106,0.9767216,0.000123699,0.01418968,0.0002131964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935961,0.001425664,0.0000615351,0.0006752061,0.002761982,0.000561125,0.000515475,0.0002015687,0.0002013085],"genre_scores_gemma":[0.9929429,0.001643482,0.003263158,0.000960299,0.0001117522,0.00005203889,0.0001619523,0.00002691516,0.0008375431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01162057,"threshold_uncertainty_score":0.9970659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156112933950635,"score_gpt":0.2554406011374392,"score_spread":0.2438794717979328,"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."}}