{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007168468,0.0009367808,0.001050001,0.001044619,0.0005140521,0.0002300591,0.001556987,0.0004881878,0.3785995],"category_scores_gemma":[0.000582798,0.001043529,0.0004512844,0.001011823,0.0002031185,0.0002212007,0.0008920407,0.001707138,0.01729663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006157113,"about_ca_system_score_gemma":0.0003889628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004129392,"about_ca_topic_score_gemma":0.0006394073,"domain_scores_codex":[0.9947351,0.0005613938,0.0008993958,0.001359333,0.001496058,0.0009487128],"domain_scores_gemma":[0.9959603,0.0002825266,0.001145522,0.002108137,0.000210264,0.0002932555],"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":[0.0001216644,0.0002261812,0.00001035016,0.00008880916,0.0002605691,0.0003114945,0.00004661339,0.0001108929,0.00027438,0.0002197709,0.9979489,0.0003804169],"study_design_scores_gemma":[0.0007738194,0.0001338583,0.0001445766,0.00003141661,0.0004452739,0.00002597364,0.0001171344,0.00002710612,0.00007498296,0.0004798813,0.9966548,0.001091158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002208876,0.001291387,0.00000315529,0.00007325527,0.00278357,0.0008404029,0.9927146,0.0002497427,0.001822944],"genre_scores_gemma":[0.00003633102,0.000277947,0.0001534161,0.0005961509,0.0006799382,0.0003932015,0.9962164,0.0003105641,0.001336036],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3613029,"threshold_uncertainty_score":0.9992015,"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."}}