{"id":"W6888964465","doi":"10.25345/c5kp7ts8f","title":"MassIVE MSV000088960 - Qtof_FS_NEG_RAW_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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006597672,0.0009111062,0.001016853,0.0009804163,0.0005106236,0.0002339004,0.001597558,0.0004702617,0.3297412],"category_scores_gemma":[0.0005382318,0.001014323,0.0004371539,0.0009903697,0.0001976842,0.0002304606,0.0008430348,0.001639572,0.01769659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000622765,"about_ca_system_score_gemma":0.0003928702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608635,"about_ca_topic_score_gemma":0.0006949953,"domain_scores_codex":[0.9949503,0.000512158,0.0008783003,0.001328322,0.001410884,0.0009200556],"domain_scores_gemma":[0.9960536,0.0002761543,0.001120381,0.002069122,0.0001939623,0.0002868176],"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":[0.0001148183,0.0002362748,0.00000935273,0.00008734949,0.000268596,0.0002974453,0.00005042574,0.0001119352,0.0002786908,0.0002401962,0.9978616,0.0004433368],"study_design_scores_gemma":[0.0007578582,0.0001339305,0.0001503502,0.00003196566,0.0004343708,0.00002519658,0.0001216317,0.00002931751,0.00008286803,0.0005923465,0.9965791,0.001061046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002676684,0.001407771,0.000003590918,0.00006325667,0.002777735,0.000827614,0.9929973,0.0002408518,0.001414239],"genre_scores_gemma":[0.00004469794,0.0002935827,0.0001402355,0.000544443,0.000674754,0.0004216761,0.9966202,0.0002944386,0.0009659786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3120446,"threshold_uncertainty_score":0.9992307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734043821071141,"score_gpt":0.273142251482364,"score_spread":0.2558018132716526,"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."}}