{"id":"W2157352949","doi":"10.1109/imtc.1999.776814","title":"Signal processing support for the evaluation of blood toxic oxidation activity","year":2003,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; SIGNAL (programming language); Signal processing; Digital signal processing; Interpretation (philosophy); Quality (philosophy); Artificial intelligence; Computer hardware","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005878236,0.0003978263,0.0002634553,0.0006690737,0.0002158566,0.0008073793,0.000504536,0.0005463882,0.00205518],"category_scores_gemma":[0.003503928,0.000108382,0.0001921452,0.0006323131,0.0003207038,0.0005095544,0.0002846048,0.0003845922,0.0005919185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002254503,"about_ca_system_score_gemma":0.0003200516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003297589,"about_ca_topic_score_gemma":0.0003936386,"domain_scores_codex":[0.9996545,0.00007673429,0.00002831992,0.00005734819,0.0001617271,0.00002131625],"domain_scores_gemma":[0.9989795,0.0003820994,0.0001003526,0.0001141049,0.0003899133,0.00003396685],"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":[0.0008091779,0.0001203082,0.001580546,0.0003021417,0.00003441947,0.000234549,0.00008653161,0.02065084,0.456962,0.008152117,0.001875667,0.5091917],"study_design_scores_gemma":[0.00007045866,0.0004566409,0.003648453,0.00004096466,0.00005498578,0.0006854497,0.00006229861,0.6465429,0.334871,0.005754421,0.00777078,0.00004166463],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07032144,0.000321094,0.9256684,0.0002965853,0.0001351915,0.00006696473,0.0001892446,0.001153997,0.00184711],"genre_scores_gemma":[0.4594702,0.0004231479,0.53766,0.0001789179,0.0001794801,0.0001223394,0.000398052,0.00006418178,0.001503654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00205518,"threshold_uncertainty_score":0.006875217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06014305026511586,"score_gpt":0.3517807404618504,"score_spread":0.2916376901967345,"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."}}