{"id":"W2101394823","doi":"10.1093/nar/gku436","title":"CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra","year":2014,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":479,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Western Canada Research Grid; Compute Canada","keywords":"Annotation; Computer science; Web server; Identification (biology); Metabolite; Biology; Artificial intelligence; Computational biology; Data mining; Pattern recognition (psychology); Machine learning; The Internet; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002780062,0.003077898,0.002000849,0.00712067,0.001786191,0.002486407,0.005027267,0.003073705,0.08395483],"category_scores_gemma":[0.007616123,0.00161897,0.001503502,0.004441205,0.0005720698,0.003606822,0.002851257,0.002123886,0.08042279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484452,"about_ca_system_score_gemma":0.003362407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009435594,"about_ca_topic_score_gemma":0.008192644,"domain_scores_codex":[0.9986801,0.0001241398,0.0001128627,0.0003552347,0.0005596957,0.0001679901],"domain_scores_gemma":[0.9968343,0.0007943177,0.0002875183,0.0007728843,0.000815604,0.0004952383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001826811,0.0002271952,0.00325481,0.001399671,0.000130689,0.000594289,0.0002018959,0.001136834,0.03950497,0.0039808,0.7893776,0.1583644],"study_design_scores_gemma":[0.0008200834,0.0003080137,0.01469637,0.0004967889,0.0001747153,0.002433246,0.0001991251,0.05020614,0.09373784,0.01847761,0.8178209,0.0006292368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005085953,0.0008684409,0.1127155,0.0004044806,0.0002911156,0.0005635537,0.2856449,0.5794926,0.01493352],"genre_scores_gemma":[0.0206281,0.0004417385,0.2264292,0.0004877233,0.0001599902,0.00104016,0.7024157,0.03372901,0.01466836],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.08395483,"threshold_uncertainty_score":0.2808569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232801082797474,"score_gpt":0.3030589217130826,"score_spread":0.2797788134333352,"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."}}