{"id":"W7098549664","doi":"","title":"SHORT COMMUNICATION MetaboLights: towards a new COSMOS of metabolomics data management","year":2016,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Metabolome; Data management; Metabolomics; Metadata management; Big data; Dissemination; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02087529,0.001490666,0.00153944,0.006460345,0.00251169,0.0208516,0.004744925,0.005579335,0.07984617],"category_scores_gemma":[0.06292139,0.002322322,0.001135931,0.009070501,0.006197535,0.03076053,0.01480357,0.01040406,0.0656098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945648,"about_ca_system_score_gemma":0.004827666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002069789,"about_ca_topic_score_gemma":0.001134289,"domain_scores_codex":[0.9879533,0.003867901,0.001457399,0.002079594,0.004191299,0.0004503846],"domain_scores_gemma":[0.9432642,0.01686364,0.002847931,0.01706131,0.01003399,0.009928917],"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":[0.0003408691,0.00005905639,0.001588365,0.0004461219,0.00006368976,0.0003215339,0.0006070725,0.001250636,0.003523652,0.118678,0.656197,0.216924],"study_design_scores_gemma":[0.00004023595,0.00003980358,0.0004359471,0.0002494518,0.00001690491,0.0004023022,0.0001820717,0.005105364,0.001716624,0.07246347,0.9192588,0.00008911213],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.002966245,0.005629587,0.8133362,0.06643835,0.01786032,0.0004229283,0.01089869,0.04562121,0.03682648],"genre_scores_gemma":[0.03634185,0.01117082,0.7098897,0.02201558,0.03834705,0.0008389972,0.03880212,0.03471993,0.107874],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07984617,"threshold_uncertainty_score":0.2671121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277355058498451,"score_gpt":0.2547569595080627,"score_spread":0.1270214536582176,"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."}}