{"id":"W4297229371","doi":"10.3390/min12101210","title":"Identifying Pseudorutile and Kleberite Using Raman Spectroscopy","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Geological Survey of Canada; Natural Resources Canada; Saint Mary's University","funders":"Offshore Energy Research Association","keywords":"Raman spectroscopy; Ilmenite; Rutile; Goethite; Analytical Chemistry (journal); Mineral; Lepidocrocite; Diagenesis; Mineralogy; Materials science; Geology; Chemistry; Optics; Physics; Metallurgy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003057681,0.0003882065,0.0001623167,0.001954256,0.0003564182,0.000512842,0.000394221,0.0004203694,0.000765781],"category_scores_gemma":[0.0004565062,0.0002070029,0.0001748415,0.0006654413,0.0003443604,0.0002802885,0.0003628555,0.0001903511,0.0002959227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314379,"about_ca_system_score_gemma":0.0004357516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023714,"about_ca_topic_score_gemma":0.100573,"domain_scores_codex":[0.9996791,0.00001808822,0.00001409994,0.00006422109,0.0001697761,0.00005479209],"domain_scores_gemma":[0.9996982,0.00004572008,0.00005822973,0.00001926166,0.0001477207,0.00003082494],"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":[0.0001117478,0.00001883681,0.03560049,0.0001016447,0.00001418429,0.0003154741,0.0004475899,0.0001470335,0.9511214,0.000130294,0.00007671646,0.01191459],"study_design_scores_gemma":[0.00001501501,0.0001827382,0.5745498,0.00004988652,0.00003841726,0.001540786,0.001786869,0.003806913,0.4109445,0.0002114544,0.006842169,0.00003141686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892174,0.000434657,0.007589664,0.00002310204,0.000008206762,0.00007810664,0.0003490965,0.00009653882,0.002203208],"genre_scores_gemma":[0.9776921,0.0005790244,0.01881068,0.00002236691,0.000003258749,0.0000287513,0.0004717997,0.00002811961,0.002363906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.023714,"threshold_uncertainty_score":0.04715192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122307249291028,"score_gpt":0.2647273559575063,"score_spread":0.2335042834645961,"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."}}