{"id":"W3049696202","doi":"10.1016/j.chemgeo.2020.119819","title":"A Raman spectroscopic tool to estimate chemical composition of natural volcanic glasses","year":2020,"lang":"en","type":"article","venue":"Chemical Geology","topic":"Glass properties and applications","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Università degli Studi di Torino; Università degli Studi di Perugia; Ludwig-Maximilians-Universität München","keywords":"Raman spectroscopy; Silicate; Mineralogy; Analytical Chemistry (journal); Silicate glass; Chemical composition; Spectral line; Volcano; Geology; Materials science; Chemistry; Geochemistry; Optics; Physics; Environmental chemistry","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":[0.0005097642,0.0006053278,0.0003222832,0.001029988,0.0002377085,0.0003915579,0.0005491022,0.0004303433,0.000520493],"category_scores_gemma":[0.0009389794,0.0003745379,0.0004686804,0.0005419835,0.0002401288,0.0006148782,0.0004406098,0.0002996309,0.0003001112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008644,"about_ca_system_score_gemma":0.0004678243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671651,"about_ca_topic_score_gemma":0.003089323,"domain_scores_codex":[0.999769,0.0000327478,0.000008324636,0.00008974408,0.00008458766,0.00001550419],"domain_scores_gemma":[0.9997899,0.00008077047,0.0000383152,0.00004529724,0.00003835202,0.000007402771],"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":[0.0001493025,0.0001621703,0.05298832,0.000222791,0.0003015445,0.0002283777,0.0001755246,0.2369941,0.572524,0.003801209,0.000624402,0.1318283],"study_design_scores_gemma":[0.000008579909,0.0001183346,0.0163189,0.000011138,0.00004755059,0.000296412,0.00006023778,0.9093233,0.0696774,0.002532319,0.00157262,0.00003319047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3466292,0.000322024,0.6478127,0.00006344635,0.00001027008,0.00008574652,0.001262482,0.00238515,0.001429027],"genre_scores_gemma":[0.8187155,0.0002908528,0.1789571,0.00002660998,0.00000713769,0.00007853816,0.001036228,0.0000911573,0.0007969936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002671651,"threshold_uncertainty_score":0.005312204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256474033008639,"score_gpt":0.2665273960441252,"score_spread":0.2539626557140388,"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."}}