{"id":"W169227635","doi":"","title":"Metabolomics and biochemical profiling in drug discovery and development.","year":2002,"lang":"en","type":"article","venue":"PubMed","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"dPoint Technologies (Canada)","funders":"","keywords":"Metabolomics; Drug discovery; Metabolite profiling; Drug development; Profiling (computer programming); Medicine; Drug; Computational biology; Metabolite; Bioinformatics; Pharmacology; Biology; Computer science; Internal medicine","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":[0.004874733,0.001047238,0.001562358,0.00288597,0.0006154936,0.002402076,0.000815835,0.002761361,0.003262173],"category_scores_gemma":[0.003737699,0.0004201673,0.0006639824,0.002440798,0.003426496,0.003382277,0.001843906,0.003113244,0.002140598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002025273,"about_ca_system_score_gemma":0.001986841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533857,"about_ca_topic_score_gemma":0.001742096,"domain_scores_codex":[0.9979247,0.0009957205,0.0001046824,0.0002048917,0.0006739775,0.00009612252],"domain_scores_gemma":[0.9980128,0.001042351,0.000253554,0.000149288,0.0003325396,0.0002095395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004601727,0.0002248599,0.003300351,0.003675929,0.0002902332,0.0006100734,0.0002815157,0.004041298,0.01373116,0.3396508,0.054727,0.5790066],"study_design_scores_gemma":[0.00008189784,0.0006144325,0.005188783,0.001253728,0.0001609478,0.00204206,0.0003080696,0.005952504,0.01294153,0.3300132,0.6412898,0.0001530225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004032117,0.8211295,0.09420872,0.04011814,0.004252555,0.0001669767,0.0003696703,0.0004985688,0.03522371],"genre_scores_gemma":[0.1033878,0.7617739,0.0979895,0.01343981,0.006363571,0.0002907999,0.0003175829,0.00009327379,0.01634382],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004874733,"threshold_uncertainty_score":0.02578038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595844386976032,"score_gpt":0.1983094840431485,"score_spread":0.1823510401733882,"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."}}