{"id":"W2169517814","doi":"10.1897/07-412.1","title":"Evaluation of sample preparation methods for nuclear magnetic resonance metabolic profiling studies with<i>Eisenia fetida</i>","year":2008,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Eisenia fetida; Lumbricus rubellus; Valine; Chemistry; Lumbricus terrestris; Taurine; Earthworm; Chromatography; Biochemistry; Amino acid; Toxicity; Biology; Organic chemistry","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":[0.002674739,0.001194594,0.0006312046,0.0007293953,0.0006574253,0.0006507945,0.0006828611,0.0008766497,0.0009066858],"category_scores_gemma":[0.002877226,0.0003224067,0.0004656545,0.0006854251,0.0005265892,0.0004605822,0.0005654128,0.0006059579,0.0005509883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003730535,"about_ca_system_score_gemma":0.0005680166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074807,"about_ca_topic_score_gemma":0.003151168,"domain_scores_codex":[0.9980191,0.0005258049,0.0002389406,0.0004867304,0.0005912599,0.0001381815],"domain_scores_gemma":[0.9984902,0.0005851975,0.000246862,0.0001619422,0.0004562868,0.00005947003],"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":[0.00017594,0.00005391212,0.0008441654,0.000226044,0.00002925861,0.00007748802,0.00005250928,0.0001872288,0.9918398,0.00005992935,0.00007157619,0.006382276],"study_design_scores_gemma":[0.00003109019,0.0009601586,0.009698331,0.00007981913,0.000136986,0.0003103915,0.0001161452,0.001688552,0.9804038,0.0001312531,0.006407846,0.00003557186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8162173,0.007768056,0.1655944,0.000743221,0.0004756616,0.002394898,0.002484335,0.0009165382,0.003405476],"genre_scores_gemma":[0.4955458,0.009876631,0.4790235,0.001055067,0.0001907185,0.003829449,0.006273582,0.0005451677,0.003659983],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002674739,"threshold_uncertainty_score":0.01414555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560900280766269,"score_gpt":0.3177001255024719,"score_spread":0.2920911226948092,"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."}}