{"id":"W6931497265","doi":"10.5281/zenodo.6581870","title":"BUDDY: molecular formula discovery via bottom-up MS/MS interrogation","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interrogation; Software; Event (particle physics); Context (archaeology)","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":[0.00219518,0.002536253,0.002014447,0.003495366,0.0008964472,0.003740008,0.003083309,0.001622097,0.07154353],"category_scores_gemma":[0.003237037,0.001462721,0.001475949,0.001982169,0.0004839233,0.002529891,0.003052697,0.00206568,0.04648321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000804243,"about_ca_system_score_gemma":0.001508421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325947,"about_ca_topic_score_gemma":0.002690861,"domain_scores_codex":[0.9986872,0.0001321182,0.00008508936,0.0003144027,0.0006614911,0.00011964],"domain_scores_gemma":[0.9990895,0.0003270475,0.00008436797,0.0002141905,0.0002171963,0.00006769298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001698111,0.0001799208,0.002527752,0.003089681,0.000950132,0.0006743681,0.0002565779,0.002478722,0.09814113,0.00909651,0.7008298,0.1800774],"study_design_scores_gemma":[0.0006617053,0.0002082442,0.002889568,0.0002508914,0.0002701937,0.001347961,0.000107718,0.05038176,0.2897073,0.01624223,0.6375207,0.0004117059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.01283883,0.004406318,0.2621681,0.00140961,0.0006633666,0.0005605815,0.1327128,0.5563865,0.02885375],"genre_scores_gemma":[0.07371984,0.005190213,0.5607929,0.00308483,0.0002340093,0.002785648,0.209861,0.09740821,0.04692334],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07154353,"threshold_uncertainty_score":0.239337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662795099595869,"score_gpt":0.2493265424932061,"score_spread":0.2326985914972474,"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."}}