{"id":"W7028549099","doi":"","title":"Étude expérimentale des approches
\\npour améliorer la sensibilité de la technique LIBS pour l’analyse.
\\ndes solides et des liquides.","year":2013,"lang":"fr","type":"dissertation","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytical Chemistry (journal); Laser beams; Laser-induced breakdown spectroscopy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00178285,0.0009790321,0.0006175822,0.0004501379,0.0007469126,0.001206756,0.001082143,0.001496184,0.007121381],"category_scores_gemma":[0.001565609,0.0007769239,0.0005737167,0.0006739114,0.0007710926,0.001151288,0.0006058609,0.001249076,0.002708627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009373298,"about_ca_system_score_gemma":0.0007092023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445694,"about_ca_topic_score_gemma":0.003303275,"domain_scores_codex":[0.9982644,0.0002286955,0.00006392144,0.0004438488,0.0008881926,0.0001109984],"domain_scores_gemma":[0.9986946,0.0004380346,0.0001163383,0.0002349345,0.0004809935,0.00003521315],"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":[0.0001307754,0.00007974761,0.0003314117,0.000288485,0.00002512933,0.0000707468,0.0001656205,0.0003118,0.9837174,0.0009954402,0.0004222231,0.01346129],"study_design_scores_gemma":[0.0000208465,0.000381428,0.0008873238,0.00001883159,0.00003225909,0.0001186924,0.00005071105,0.001760751,0.9763241,0.0001700495,0.02021131,0.00002372474],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6829932,0.007086039,0.2675051,0.0007560041,0.001145004,0.0006049876,0.001392937,0.002002391,0.03651434],"genre_scores_gemma":[0.7120686,0.00525142,0.2351182,0.0005077049,0.0001531728,0.001146425,0.001180465,0.0005873156,0.04398673],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007121381,"threshold_uncertainty_score":0.02382338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192479239808939,"score_gpt":0.3716686987421267,"score_spread":0.2524207747612328,"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."}}