{"id":"W6926754367","doi":"10.25345/c5fx74043","title":"MassIVE MSV000088961 - Qtof_FS_NEG_MZML_WS_metabolomics_annotation","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","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":[],"category_scores_codex":[0.0002338339,0.0004095896,0.0007183953,0.0003183737,0.0002082426,0.00005341453,0.0003159148,0.0003172455,0.1724063],"category_scores_gemma":[0.0004058657,0.0003362149,0.000281132,0.0003370455,0.00008773659,0.00005688368,0.0002292584,0.0009420499,0.0003434911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540074,"about_ca_system_score_gemma":0.0001967779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001732969,"about_ca_topic_score_gemma":0.00006250618,"domain_scores_codex":[0.9978983,0.00009818729,0.0004519388,0.0007073648,0.0004592982,0.000384919],"domain_scores_gemma":[0.9984558,0.00008320823,0.0003293208,0.0008433909,0.0001317357,0.0001566074],"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":[0.0001839612,0.0001619639,0.000003343495,0.0002287585,0.0001800346,0.0001863315,0.00001267122,9.486853e-7,0.005425685,0.00001993338,0.9889395,0.004656904],"study_design_scores_gemma":[0.0004982714,0.0002123321,0.00009675484,0.00006907298,0.00053676,0.00006092267,0.00003432953,0.000002369664,0.002759214,0.00004487188,0.9953088,0.0003763239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009170239,0.002629834,6.367488e-7,0.001398694,0.001508171,0.0007210633,0.9924371,0.0000546174,0.0003328612],"genre_scores_gemma":[0.0003733782,0.001542295,0.0001490334,0.002111558,0.0009965901,0.00001069738,0.9924474,0.00004432174,0.002324727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1720629,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495461955768066,"score_gpt":0.2593913085817467,"score_spread":0.2444366890240661,"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."}}