{"id":"W6889021510","doi":"10.25345/c5hx15s3p","title":"MassIVE MSV000088945 - Qtof_DDA_NEG_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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00118998,0.004272379,0.00258979,0.004703707,0.001869888,0.003218128,0.004494841,0.003610839,0.1150753],"category_scores_gemma":[0.004486508,0.001215335,0.002446156,0.006045739,0.0006936233,0.001449299,0.002890782,0.001949239,0.1212504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699661,"about_ca_system_score_gemma":0.00345742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02236922,"about_ca_topic_score_gemma":0.04144405,"domain_scores_codex":[0.9987832,0.0001489029,0.00009673301,0.0004338453,0.0003007616,0.000236664],"domain_scores_gemma":[0.9983846,0.0005084644,0.0001417139,0.0004047878,0.0003375044,0.0002229098],"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":[0.000274655,0.00003131916,0.000974293,0.001226279,0.0001057187,0.000062582,0.00004459807,0.0005986689,0.001769269,0.0008952841,0.9905921,0.003425193],"study_design_scores_gemma":[0.0006726319,0.00004630214,0.004459129,0.0003538459,0.0002022564,0.0001655018,0.00008646618,0.001700476,0.003157458,0.003916156,0.9851365,0.0001033642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002439214,0.0001349846,0.000245929,0.00007289545,0.00004019458,0.00001423824,0.9965054,0.001546397,0.001196145],"genre_scores_gemma":[0.0006223511,0.00007947605,0.0008803878,0.00008540371,0.000008363495,0.00006219939,0.9972745,0.0003043745,0.0006831043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8849247,"threshold_uncertainty_score":0.3849652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837667683729248,"score_gpt":0.2727174223953072,"score_spread":0.2543407455580147,"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."}}