{"id":"W6963611290","doi":"10.25345/c54m91c16","title":"MassIVE MSV000088948 - Qtof_DIA_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":[0.001211403,0.004487471,0.00253839,0.00490623,0.001833101,0.003151373,0.004504226,0.003422994,0.09972893],"category_scores_gemma":[0.004139262,0.001248075,0.00251396,0.006315564,0.0006587593,0.001449448,0.002823027,0.002046668,0.1166283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623287,"about_ca_system_score_gemma":0.003473286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326798,"about_ca_topic_score_gemma":0.04132146,"domain_scores_codex":[0.9987968,0.0001450478,0.0001023446,0.0004200694,0.0003097811,0.0002258913],"domain_scores_gemma":[0.9984373,0.0004726164,0.0001427323,0.0003960393,0.0003339522,0.0002173464],"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":[0.0002810355,0.00003586779,0.0009429841,0.001217084,0.0001063614,0.00006464968,0.0000489649,0.0005913767,0.002065092,0.0009265009,0.9903661,0.003353924],"study_design_scores_gemma":[0.0006157325,0.00004684366,0.004690648,0.0003405793,0.0001894586,0.0001517939,0.00009165004,0.001760055,0.0033754,0.003710484,0.9849228,0.000104556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002508587,0.0001107568,0.0002390295,0.00006428945,0.00003726044,0.00001360814,0.9965318,0.001602755,0.001149636],"genre_scores_gemma":[0.0004938625,0.00006331776,0.0007807549,0.000062193,0.000006286718,0.0000528424,0.9976971,0.0002762454,0.000567423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09972893,"threshold_uncertainty_score":0.3336265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01750277359202731,"score_gpt":0.2721100054451815,"score_spread":0.2546072318531543,"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."}}