{"id":"W6945276902","doi":"10.25345/c5v698d5v","title":"MassIVE MSV000088958 - Qtof_FS_POS_MZML_CS_metabolomics_annotation","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Set (abstract data type)","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":[0.001230351,0.00447717,0.002587776,0.004848795,0.001894894,0.003204298,0.004749374,0.003740019,0.1251159],"category_scores_gemma":[0.004640619,0.001244132,0.002430415,0.00643957,0.0007159208,0.001548019,0.002909532,0.001994397,0.123536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772892,"about_ca_system_score_gemma":0.003498049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02302184,"about_ca_topic_score_gemma":0.03968438,"domain_scores_codex":[0.9987728,0.000152825,0.00009685163,0.000432018,0.0003049853,0.0002405028],"domain_scores_gemma":[0.9983391,0.0005417813,0.0001489076,0.0004169198,0.0003324339,0.0002209401],"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":[0.0002957835,0.00003400747,0.0008778755,0.001283272,0.0001000103,0.00006430335,0.00004571477,0.000666047,0.001805638,0.001012976,0.9903014,0.003513029],"study_design_scores_gemma":[0.0007067761,0.00004894755,0.004267764,0.0003721422,0.0001923615,0.0001580878,0.00008508765,0.001836464,0.003191496,0.004284654,0.9847485,0.0001076428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002397176,0.0001314183,0.0002514501,0.00007261763,0.0000370938,0.00001474309,0.9963989,0.001591387,0.001262615],"genre_scores_gemma":[0.0006077603,0.00007444552,0.000880479,0.0000792544,0.000007543812,0.00006077475,0.9973388,0.0003019668,0.0006488652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1251159,"threshold_uncertainty_score":0.4185544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874276855911456,"score_gpt":0.27613780372035,"score_spread":0.2573950351612355,"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."}}