{"id":"W6888970811","doi":"10.25345/c5rv0d39m","title":"MassIVE MSV000088996 - Qtof_DDA_NEG_RAW_CS_metabolomics_annotation_example_set","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":[0.001066969,0.00443586,0.002393996,0.00426507,0.001823343,0.002732005,0.004153908,0.003799107,0.1408003],"category_scores_gemma":[0.004163076,0.001178359,0.002459344,0.005458697,0.0006822688,0.001346077,0.002579619,0.001973256,0.1210005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704193,"about_ca_system_score_gemma":0.002883878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222054,"about_ca_topic_score_gemma":0.04337684,"domain_scores_codex":[0.9988689,0.0001410385,0.00008367681,0.0004121082,0.000281283,0.0002129849],"domain_scores_gemma":[0.9985023,0.0005102988,0.0001132591,0.0003769756,0.0003142401,0.0001829248],"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":[0.000229999,0.00003732059,0.0008117807,0.001035209,0.00008449241,0.0000572633,0.0000390313,0.000528222,0.001138211,0.0006663271,0.9925524,0.002819654],"study_design_scores_gemma":[0.0007483497,0.00005548773,0.005039013,0.0003213131,0.0001711599,0.0001917152,0.00008269012,0.001661348,0.002935613,0.003297894,0.985391,0.0001042984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003177615,0.0001154722,0.0002116911,0.00007585336,0.00004373859,0.00001756181,0.9964731,0.00138992,0.001354837],"genre_scores_gemma":[0.0006234972,0.00006823228,0.0007563462,0.00007865359,0.00000840712,0.00006989481,0.9974592,0.0002488959,0.000686853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1408003,"threshold_uncertainty_score":0.4710239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385881946084551,"score_gpt":0.2785485295547287,"score_spread":0.2546897100938832,"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."}}