{"id":"W4214904590","doi":"10.1021/acs.jpcc.1c10955","title":"Raman Spectromicroscopy: A Tool to “See” Subtle Aspects in Science, Technology, and Engineering","year":2022,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Silicon Nanostructures and Photoluminescence","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Board","keywords":"Raman spectroscopy; Microscopy; Materials science; Computer science; Nanotechnology; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004111637,0.00007987917,0.0001542734,0.0001015721,0.0001316029,0.00003842843,0.0005499096,0.00001465839,0.00009015076],"category_scores_gemma":[0.0001060358,0.00005805728,0.00002479336,0.0008713608,0.0001730076,0.00007152581,0.0002748625,0.000285509,0.000002004945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009334201,"about_ca_system_score_gemma":0.00009467731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006499535,"about_ca_topic_score_gemma":3.120002e-7,"domain_scores_codex":[0.9992549,0.00001050511,0.0001535971,0.0001152833,0.000256579,0.0002091078],"domain_scores_gemma":[0.9996114,0.00004568597,0.00008884198,0.0001605698,0.00003412935,0.0000593104],"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":[0.00003809263,0.00002690412,0.00008006059,0.000008643465,0.000001213443,0.00001037997,0.0002392411,0.0005042493,0.9988292,0.0001898977,0.00003640319,0.00003574254],"study_design_scores_gemma":[0.0001901464,0.00008640864,0.0008388273,0.00001413393,0.000005630292,0.0002280386,0.0001592888,0.0002719935,0.9972564,0.0006174287,0.0002571016,0.00007461992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993604,0.00005825181,0.000003043389,0.0003381296,0.00006634654,0.00005589434,0.000004520351,0.000009109342,0.0001042595],"genre_scores_gemma":[0.9997352,0.000001390245,0.00008507914,0.0000378511,0.0001077707,0.000002536911,8.853615e-8,0.000005646823,0.00002438561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001572789,"threshold_uncertainty_score":0.2367507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00334793928764276,"score_gpt":0.2191642539268273,"score_spread":0.2158163146391846,"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."}}