{"id":"W4412816665","doi":"10.1016/j.icarus.2025.116742","title":"Database development and LIBS calibration for the LIBS-Raman Sensor for planetary exploration","year":2025,"lang":"en","type":"article","venue":"Icarus","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Winnipeg; Brampton Civic Hospital; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada; European Regional Development Fund; Canadian Space Agency; Consejería de Educación, Junta de Castilla y León; Research Manitoba; Canada Foundation for Innovation; Ministerio de Ciencia, Innovación y Universidades","keywords":"Calibration; Astrobiology; Remote sensing; Raman spectroscopy; Materials science; Environmental science; Geology; Physics; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008730148,0.00008683024,0.00007617653,0.00003382366,0.0001361266,0.00005221593,0.00005528207,0.00004898523,0.000005627842],"category_scores_gemma":[0.00002228836,0.00006806009,0.00001618973,0.00005517258,0.000008966385,0.0001752494,0.00001134005,0.00005698998,0.000001951401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001914957,"about_ca_system_score_gemma":0.00002601636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006172257,"about_ca_topic_score_gemma":0.00008462099,"domain_scores_codex":[0.9995854,0.000007512023,0.0001228372,0.0001132308,0.00004536285,0.0001256328],"domain_scores_gemma":[0.9995826,0.0002472828,0.0000133185,0.0001198105,0.00001155178,0.0000254678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001448304,0.0002461754,0.001183938,0.003701253,0.001586204,0.00002439809,0.01048414,0.1153429,0.2910292,0.05498225,0.1885238,0.3314475],"study_design_scores_gemma":[0.0007219884,0.0000453045,0.000423481,0.00005068507,0.00006454105,0.000002086498,0.0002097879,0.3670395,0.3690926,0.0006811724,0.2614619,0.0002069358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4398649,0.0006972418,0.5524852,0.001960749,0.001288251,0.001877707,0.0004567319,0.0004177166,0.0009515194],"genre_scores_gemma":[0.9656436,0.0001347931,0.03059535,0.0003666171,0.0002774088,0.0005175308,0.001690859,0.00002675316,0.000747044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5257788,"threshold_uncertainty_score":0.277541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446680551036054,"score_gpt":0.2428543118020196,"score_spread":0.2183875062916591,"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."}}