{"id":"W6888964465","doi":"10.25345/c5kp7ts8f","title":"MassIVE MSV000088960 - Qtof_FS_NEG_RAW_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":[0.001228633,0.004931055,0.00279348,0.00500625,0.001987311,0.003240322,0.004640619,0.003909665,0.1336851],"category_scores_gemma":[0.004470459,0.001262826,0.002733898,0.006459859,0.000738556,0.001551546,0.002906674,0.002020334,0.1432528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706704,"about_ca_system_score_gemma":0.003503315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092436,"about_ca_topic_score_gemma":0.03774321,"domain_scores_codex":[0.9987813,0.0001464899,0.00008750174,0.0004427113,0.00029477,0.0002472731],"domain_scores_gemma":[0.9984535,0.0004484705,0.0001221222,0.0004336719,0.000342052,0.0002000991],"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":[0.0002781538,0.00003413494,0.0007653577,0.001229193,0.0001051555,0.00005509365,0.00003830891,0.0005599378,0.001721538,0.0008447084,0.9910231,0.003345372],"study_design_scores_gemma":[0.0006609686,0.00005586408,0.004277935,0.0003712688,0.000205455,0.0001651499,0.00007831833,0.001704334,0.00354007,0.004684368,0.9841382,0.0001181104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002348439,0.0001465421,0.0002609662,0.00006533344,0.00004551112,0.00001519102,0.9961802,0.001721405,0.001329988],"genre_scores_gemma":[0.0005657586,0.00008221649,0.0008496032,0.00007968757,0.000008951823,0.0000593419,0.9972878,0.000338621,0.0007281658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8663149,"threshold_uncertainty_score":0.447221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734043821071141,"score_gpt":0.273142251482364,"score_spread":0.2558018132716526,"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."}}