{"id":"W6926305945","doi":"10.25345/c5513tz9c","title":"MassIVE MSV000088993 - Qtof_DDA_POS_MZML_CS_metabolomics_example_TEST","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","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":[0.0004185493,0.0009203826,0.00123864,0.0005433938,0.0007144539,0.00006305141,0.00159066,0.0008130737,0.4318888],"category_scores_gemma":[0.0001962796,0.0008801267,0.0004016434,0.0003918912,0.0003536824,0.0001170584,0.001143581,0.002141936,0.006534428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001881058,"about_ca_system_score_gemma":0.0002623941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003920507,"about_ca_topic_score_gemma":0.0002265741,"domain_scores_codex":[0.9960156,0.0007482198,0.0007533662,0.001257513,0.0001709743,0.00105432],"domain_scores_gemma":[0.9971839,0.0003906689,0.0005886781,0.001633489,0.0001112077,0.00009201357],"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":[0.0001287769,0.0002742108,0.000008801445,0.00005635186,0.0005347588,0.0002398302,0.00003678389,0.000002509646,0.02843801,0.0009375767,0.9687328,0.0006096429],"study_design_scores_gemma":[0.001211107,0.0004362095,0.00005090025,0.00003276061,0.00035796,0.0001101713,0.0001215264,1.049684e-7,0.01742538,0.0006341297,0.9786838,0.0009359374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001233273,0.005314245,0.00001403471,0.0001364854,0.004601184,0.0006843136,0.9871186,0.0001756102,0.0007222464],"genre_scores_gemma":[0.0003549085,0.0007848672,0.00006199914,0.001551992,0.0002405625,0.0002873757,0.9927623,0.00009808428,0.003857923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4253543,"threshold_uncertainty_score":0.999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001753588983562,"score_gpt":0.2465739055187368,"score_spread":0.2265563696289012,"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."}}