{"id":"W2627062987","doi":"10.1021/acs.jproteome.7b00273","title":"Impact of Low-Intensity Pulsed Ultrasound on Transcript and Metabolite Abundance in <i>Saccharomyces cerevisiae</i>","year":2017,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; University of British Columbia, Okanagan Campus; University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Saccharomyces cerevisiae; Metabolite; Abundance (ecology); Chemistry; Intensity (physics); Biology; Computational biology; Biochemistry; Yeast; Physics; Optics; Ecology","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":[0.0001531259,0.0002119682,0.0002346682,0.0001586547,0.00009716849,0.0004801562,0.0001421195,0.0002212077,0.0007475776],"category_scores_gemma":[0.0002427357,0.00008735393,0.0002043488,0.0001900549,0.0002303861,0.0001268085,0.0001721625,0.0003638219,0.0002065617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000321837,"about_ca_system_score_gemma":0.0002053297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832752,"about_ca_topic_score_gemma":0.001731571,"domain_scores_codex":[0.9998127,0.00003410064,0.00001998612,0.00006410954,0.00004286015,0.00002626924],"domain_scores_gemma":[0.9997631,0.00008985624,0.00005424969,0.00002334314,0.00003764326,0.00003184622],"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":[0.0001267593,0.0000127147,0.0003279871,0.00001622228,0.000003130964,0.00001458843,0.00001309009,0.00004465508,0.9987497,0.00002193623,0.00002095934,0.0006481925],"study_design_scores_gemma":[0.000007849971,0.0002333625,0.01676328,0.000005864953,0.00001892161,0.00005292067,0.0001065462,0.001060866,0.9809654,0.0000447812,0.0007314801,0.000008729126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949729,0.0007366342,0.001456514,0.0001136724,0.00002121994,0.00001691046,0.001873022,0.00006795343,0.0007412458],"genre_scores_gemma":[0.9941401,0.0003747682,0.00204559,0.0001180823,0.000008520803,0.00003428383,0.001855388,0.00004170836,0.001381452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001832752,"threshold_uncertainty_score":0.003644109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04604739833652793,"score_gpt":0.3984079701834442,"score_spread":0.3523605718469163,"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."}}