{"id":"W4200069544","doi":"10.1016/j.sab.2021.106347","title":"Post-landing major element quantification using SuperCam laser induced breakdown spectroscopy","year":2021,"lang":"en","type":"article","venue":"Spectrochimica Acta Part B Atomic Spectroscopy","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg; McGill University","funders":"Los Alamos National Laboratory; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Centre National de la Recherche Scientifique; Ministerio de Ciencia e Innovación; Centre National d’Etudes Spatiales; National Aeronautics and Space Administration","keywords":"Laser-induced breakdown spectroscopy; Spectroscopy; Materials science; Analytical Chemistry (journal); Laser; Chemistry; Optics; Physics; Environmental chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001486347,0.0003336867,0.0002336109,0.0007039527,0.00041453,0.0006080475,0.0003917254,0.0004613294,0.002357629],"category_scores_gemma":[0.0004481504,0.0001747348,0.0001899978,0.0003748887,0.0003004147,0.0004573192,0.0003584257,0.0005324617,0.0006907106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512537,"about_ca_system_score_gemma":0.0002933407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428561,"about_ca_topic_score_gemma":0.00409232,"domain_scores_codex":[0.9998143,0.00000804374,0.000005417065,0.0000451704,0.00009230275,0.00003482239],"domain_scores_gemma":[0.999674,0.00006328779,0.00005356494,0.00003054822,0.0001588721,0.0000198262],"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":[0.0001834728,0.00002658846,0.004245861,0.0000603109,0.00001777629,0.00007402191,0.00007364225,0.0002897481,0.9856925,0.0002383903,0.000190757,0.008907022],"study_design_scores_gemma":[0.000005173291,0.000167569,0.01489409,0.00001324114,0.00002267731,0.0001748693,0.0001804667,0.007795091,0.9739249,0.0002321684,0.00257416,0.00001553068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96569,0.0007094917,0.02727108,0.00006112675,0.00009483175,0.00003082112,0.0006984908,0.0004993039,0.004944883],"genre_scores_gemma":[0.984874,0.0002480314,0.0103436,0.00005300789,0.00001420429,0.00002934344,0.0004106507,0.00006571908,0.003961435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002357629,"threshold_uncertainty_score":0.007887065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830618876434793,"score_gpt":0.2553482599470582,"score_spread":0.2370420711827103,"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."}}