{"id":"W6945085419","doi":"10.25345/c5h98zh0m","title":"MassIVE MSV000088998 - Qtof_DIA_POS_RAW_CS_metabolomics_annotation_example_set","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","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":[0.001005271,0.003964442,0.001863271,0.00364571,0.001602812,0.00235651,0.003877958,0.003162485,0.08798347],"category_scores_gemma":[0.003045592,0.001001952,0.002267517,0.004338572,0.0006274176,0.001192425,0.002278181,0.001796775,0.07113275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521258,"about_ca_system_score_gemma":0.002675473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066738,"about_ca_topic_score_gemma":0.04302936,"domain_scores_codex":[0.9990767,0.0001076882,0.00006077809,0.0003656002,0.000225626,0.0001637001],"domain_scores_gemma":[0.998823,0.0003621614,0.00009558432,0.0003124873,0.0002463088,0.0001603618],"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":[0.000348743,0.00006226471,0.001514954,0.001415879,0.0001338136,0.00008524842,0.00006025839,0.0009520447,0.002400807,0.001031604,0.9880073,0.003986934],"study_design_scores_gemma":[0.0007867996,0.0000724005,0.008573284,0.0002669395,0.0001966146,0.000231247,0.0001000695,0.002765055,0.004244265,0.003320921,0.9793315,0.0001108958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006404439,0.0001084478,0.0002378322,0.0000628156,0.00003684704,0.00002000818,0.9959781,0.001524317,0.001391117],"genre_scores_gemma":[0.0009639098,0.00005325071,0.0008039924,0.00006232709,0.000005775904,0.00006029552,0.9972368,0.0001939944,0.0006196715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08798347,"threshold_uncertainty_score":0.2943341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248852727255807,"score_gpt":0.2360106040321283,"score_spread":0.2135220767595702,"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."}}