{"id":"W6980637790","doi":"","title":"Comparative study of two commercial échelle spectrometers equipped with intensified CCD for LIBS analysis and plasma diagnostics","year":2006,"lang":"en","type":"other","venue":"NPARC","topic":"Engineering Education and Pedagogy","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spectrometer; Plasma diagnostics; Plasma; Data acquisition; Calibration","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130844,0.0004630311,0.0005050001,0.001518512,0.001015302,0.0008397159,0.001146067,0.001167951,0.002430027],"category_scores_gemma":[0.002345903,0.0003868502,0.0003954147,0.001057059,0.0004865807,0.001144732,0.0007460432,0.0003242374,0.0007167322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007163218,"about_ca_system_score_gemma":0.0005854794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146696,"about_ca_topic_score_gemma":0.003559653,"domain_scores_codex":[0.9985612,0.000238326,0.00005189951,0.0003050949,0.0007355049,0.0001079248],"domain_scores_gemma":[0.9962932,0.000870922,0.000151485,0.0003018934,0.002193764,0.0001886979],"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":[0.002829553,0.0002397177,0.02061643,0.0003572411,0.0001604327,0.0002948358,0.0006018167,0.0004361832,0.9247901,0.0009611874,0.001571793,0.04714089],"study_design_scores_gemma":[0.0001283165,0.00106149,0.07177515,0.00002029289,0.0002483632,0.001638595,0.0006358305,0.006786352,0.9066801,0.0002690262,0.01068716,0.00006932239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496127,0.002253128,0.03676732,0.0002816065,0.0001548744,0.0001193614,0.0005356185,0.001402134,0.008873303],"genre_scores_gemma":[0.9407805,0.000614956,0.05194011,0.0002424427,0.00007314774,0.00006951077,0.0008472014,0.0002828213,0.00514941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002430027,"threshold_uncertainty_score":0.01126915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697574374669292,"score_gpt":0.2918824982056724,"score_spread":0.2649067544589795,"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."}}