{"id":"W2771234895","doi":"10.22541/au.151326160.02842606","title":"Empowering users - self-service metabolomics data analysis for everyone?","year":2017,"lang":"en","type":"dataset","venue":"Authorea","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Metabolomics; Software; World Wide Web; Data science; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006684012,0.0005292201,0.0009647776,0.0002637378,0.0003710259,0.0001682416,0.002567152,0.0005745389,0.00003731023],"category_scores_gemma":[0.0004773544,0.0005066173,0.0003837658,0.0002687675,0.00006220856,0.00001148191,0.002017508,0.0002391149,0.00002633342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229831,"about_ca_system_score_gemma":0.0001690655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004110819,"about_ca_topic_score_gemma":0.002616704,"domain_scores_codex":[0.9973812,0.00005833226,0.0004398859,0.001356363,0.0002277915,0.0005363968],"domain_scores_gemma":[0.9942459,0.00004437789,0.0005721819,0.004800091,0.0001945004,0.0001428897],"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":[0.00006175384,0.00007214772,0.0001764309,0.0001153218,0.007567576,0.000003313727,0.00000945194,0.00001121096,0.001371847,0.000009464036,0.990546,0.0000554574],"study_design_scores_gemma":[0.0003980215,0.00007356158,0.0007932502,0.000008046921,0.005714603,0.000003410441,0.00002135799,0.0001073585,0.00051501,0.0000283209,0.9917613,0.0005757253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009906875,0.00501625,0.001182696,0.0001206604,0.0008256612,0.0004277827,0.9913449,0.00002218308,0.00006912669],"genre_scores_gemma":[0.0004345933,0.006308249,0.004727474,0.0002921791,0.0007226683,0.00008054308,0.9867951,0.00004909971,0.0005901487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004549908,"threshold_uncertainty_score":0.9997385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543022776042047,"score_gpt":0.3556454194444384,"score_spread":0.310215191684018,"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."}}