{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037145,0.002992763,0.001534738,0.002409926,0.0009744234,0.002412444,0.003032632,0.00318001,0.08508336],"category_scores_gemma":[0.005237662,0.0006794423,0.001770843,0.002691625,0.000480835,0.0009030272,0.001698451,0.001440542,0.06315727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001250292,"about_ca_system_score_gemma":0.002244473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768394,"about_ca_topic_score_gemma":0.03799944,"domain_scores_codex":[0.9991485,0.0001317385,0.00006376864,0.0003388842,0.0001805607,0.0001365912],"domain_scores_gemma":[0.9986193,0.0005736198,0.0001113197,0.0003113202,0.0002301904,0.0001541479],"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":[0.0003148892,0.00004433679,0.002387887,0.001120257,0.0001387146,0.00007038085,0.00002186238,0.001025457,0.000513591,0.0005737781,0.9890013,0.004787544],"study_design_scores_gemma":[0.001303876,0.00008844814,0.009192667,0.0004060486,0.0002680418,0.0003011595,0.00007262686,0.00366642,0.002239348,0.00495122,0.9774207,0.00008943742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005276647,0.0001729627,0.0002059526,0.000125959,0.00003837248,0.00001978521,0.9965367,0.001224156,0.001148463],"genre_scores_gemma":[0.002101926,0.0001158021,0.001012877,0.0001973151,0.00001616263,0.00009384895,0.9950833,0.000219423,0.0011593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08508336,"threshold_uncertainty_score":0.2846322,"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."}}