{"id":"W2565739830","doi":"10.1038/nchembio.2265","title":"Mapping an amazing thicket","year":2016,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Natural (archaeology); Resource (disambiguation); Computational biology; Thicket; Data science; Natural resource; Nanotechnology; World Wide Web; Biology; Ecology; Materials science; Paleontology","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":[0.0005970149,0.0009251195,0.0006390611,0.001854142,0.002140677,0.003206528,0.001896835,0.001945345,0.01102057],"category_scores_gemma":[0.002550764,0.001093219,0.0004230732,0.001117546,0.002145258,0.006378198,0.003411227,0.003338412,0.003192492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993277,"about_ca_system_score_gemma":0.0005337211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005945247,"about_ca_topic_score_gemma":0.0009640698,"domain_scores_codex":[0.9994538,0.0000430783,0.0000197867,0.0002147055,0.000190584,0.00007791715],"domain_scores_gemma":[0.9983854,0.0003777689,0.0002082279,0.0005138582,0.0002766218,0.0002380231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004022705,0.0001571445,0.01214109,0.0004329701,0.0001751131,0.001546579,0.0009512035,0.00562329,0.7779607,0.05654362,0.01024986,0.1338162],"study_design_scores_gemma":[0.00009997709,0.0005469539,0.0463056,0.0004371893,0.000316791,0.007164061,0.005196782,0.0316168,0.4130189,0.2388513,0.2559275,0.0005181916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5682569,0.006154825,0.3321047,0.007817709,0.002239833,0.0001208004,0.002227791,0.004707193,0.07637026],"genre_scores_gemma":[0.8322954,0.00226158,0.1243218,0.001976119,0.0003427135,0.0001145853,0.001067776,0.001978565,0.03564141],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01102057,"threshold_uncertainty_score":0.0368675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008809055540812497,"score_gpt":0.2698074868302938,"score_spread":0.2609984312894813,"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."}}