{"id":"W6964113685","doi":"10.25345/c5000020d","title":"MassIVE MSV000088957 - Qtof_FS_POS_MZML_WS_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":[0.001251169,0.0046987,0.002615838,0.005063894,0.00187165,0.003275161,0.004705236,0.003729882,0.1113614],"category_scores_gemma":[0.004542919,0.001306074,0.002542207,0.006556931,0.0007100005,0.00158843,0.002940874,0.002041104,0.1204912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727666,"about_ca_system_score_gemma":0.003523506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02369786,"about_ca_topic_score_gemma":0.03966543,"domain_scores_codex":[0.9987372,0.0001544396,0.0001093952,0.0004362999,0.0003236574,0.0002390507],"domain_scores_gemma":[0.9983536,0.0005226739,0.0001507397,0.000416675,0.0003373649,0.0002189369],"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":[0.0003088669,0.00003729113,0.0009389785,0.001319994,0.0001078981,0.00007017821,0.00005027459,0.0006779369,0.002064986,0.001008289,0.9899114,0.0035039],"study_design_scores_gemma":[0.0006641737,0.00004813452,0.004483812,0.0003656247,0.0001926161,0.0001582028,0.00008956406,0.001849943,0.003345925,0.004049832,0.9846413,0.0001108678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002463609,0.0001186287,0.0002462841,0.00006852786,0.00003721036,0.00001401549,0.9964767,0.001614872,0.001177473],"genre_scores_gemma":[0.000520389,0.00006591417,0.0007845285,0.00006506113,0.000006525472,0.00005371909,0.9976655,0.0002760191,0.0005622646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1113614,"threshold_uncertainty_score":0.3725411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797395878871886,"score_gpt":0.2755266897752851,"score_spread":0.2575527309865662,"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."}}