{"id":"W6930649838","doi":"10.5281/zenodo.14840543","title":"qakcn/MassBankML: Release on Feb 9, 2025","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"SARS-CoV-2 detection and testing","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"QUAD Engineering (Canada)","funders":"","keywords":"Fingerprint (computing); Identification (biology); Component (thermodynamics); Noise (video)","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":[0.002717654,0.004853858,0.002378937,0.003550788,0.001033453,0.003997805,0.004161989,0.002641149,0.3001813],"category_scores_gemma":[0.007156891,0.003253537,0.00183348,0.002994971,0.0006159223,0.002976972,0.003434299,0.002569559,0.3522455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277323,"about_ca_system_score_gemma":0.001918228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006274607,"about_ca_topic_score_gemma":0.004812148,"domain_scores_codex":[0.9987558,0.0001858572,0.0001619095,0.0003149527,0.0004048766,0.0001765241],"domain_scores_gemma":[0.9984797,0.0004850507,0.0001525199,0.000391963,0.0003511165,0.0001396852],"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":[0.0006840565,0.00003665463,0.0004492958,0.0005380036,0.00005105797,0.00007910554,0.00005525987,0.0004335753,0.001893041,0.001390454,0.9794464,0.01494313],"study_design_scores_gemma":[0.0005334779,0.00006102758,0.001512037,0.0002742042,0.00006386627,0.0002701104,0.00004738613,0.005298234,0.007927662,0.007069541,0.9768341,0.0001082276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001244816,0.0004719805,0.02554017,0.0007420962,0.0003676813,0.0001662446,0.6738592,0.2840092,0.01359858],"genre_scores_gemma":[0.005565329,0.000311036,0.02059307,0.000449635,0.00008367189,0.0002828978,0.9142219,0.04562169,0.01287071],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3001813,"threshold_uncertainty_score":0.9982065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585995354605715,"score_gpt":0.2866462278772055,"score_spread":0.2407862743311483,"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."}}