{"id":"W6977257769","doi":"10.6084/m9.figshare.21382487.v1","title":"Additional file 2 of The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"","keywords":"Suspect; High resolution; File format","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":[0.003702956,0.001148655,0.00120622,0.00265603,0.001035266,0.00274813,0.002600629,0.001711395,0.9039057],"category_scores_gemma":[0.04332758,0.0007688312,0.0008171378,0.004344628,0.0004630505,0.003437075,0.002303289,0.00145998,0.3529202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576854,"about_ca_system_score_gemma":0.002231309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006512144,"about_ca_topic_score_gemma":0.007349384,"domain_scores_codex":[0.9987675,0.0002980392,0.0001700382,0.0002142152,0.0003795621,0.0001707159],"domain_scores_gemma":[0.9631747,0.02649519,0.001596587,0.002360109,0.005325621,0.001047851],"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":[0.0001585509,0.0000273723,0.0003007202,0.0006919419,0.000009825342,0.00002130481,0.00002073268,0.0001115844,0.00003976316,0.000586039,0.993243,0.004789063],"study_design_scores_gemma":[0.001975317,0.0001204551,0.005774809,0.001948199,0.00006876246,0.0002365616,0.0002306196,0.0009374754,0.0007485013,0.01333799,0.9745122,0.0001090252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0001562907,0.00004876353,0.001091696,0.0005533693,0.00009077515,0.0001666872,0.9909594,0.001870631,0.005062464],"genre_scores_gemma":[0.009017835,0.0003368731,0.007634158,0.002209837,0.0003805503,0.001827343,0.9417655,0.006250229,0.03057756],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.9039057,"threshold_uncertainty_score":0.1370669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271612599512707,"score_gpt":0.2108672290532929,"score_spread":0.1981511030581658,"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."}}