{"id":"W6950911145","doi":"10.5281/zenodo.7040586","title":"BioNovoGene mzkit: Data toolkits for processing NMR, MALDI MSI, LC-MS and GC-MS raw data, chemoinformatics data analysis and data visualization","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics","funders":"","keywords":"Raw data; Visualization; Data visualization; File format; Plot (graphics); Rendering (computer graphics); Software; Pipeline (software); Data file","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":[0.003137158,0.003286294,0.002426875,0.004725962,0.001568312,0.004321242,0.005169864,0.001345616,0.123142],"category_scores_gemma":[0.009750186,0.002390833,0.001668347,0.003868707,0.0007350193,0.004692008,0.005348877,0.003473705,0.1308653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610784,"about_ca_system_score_gemma":0.003690596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188008,"about_ca_topic_score_gemma":0.004385781,"domain_scores_codex":[0.9971603,0.0002678286,0.0004682002,0.0007837338,0.001007677,0.0003122088],"domain_scores_gemma":[0.9960197,0.0007442442,0.0004124714,0.001052978,0.001433191,0.000337387],"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":[0.001164128,0.0001113475,0.002949311,0.002686863,0.0002032428,0.0004278726,0.0005435752,0.0008004617,0.02962406,0.003998358,0.8802789,0.0772119],"study_design_scores_gemma":[0.0002654736,0.00009447146,0.005166977,0.0003874933,0.0001002752,0.0007255484,0.0002366191,0.005399622,0.06862157,0.008687674,0.9100131,0.0003011648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003666273,0.0007164508,0.1161846,0.0005584382,0.0003614463,0.0005667203,0.3948895,0.4715319,0.01152471],"genre_scores_gemma":[0.01288274,0.0006981492,0.1551974,0.001123797,0.00009755536,0.002845591,0.6701341,0.1381487,0.01887202],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.123142,"threshold_uncertainty_score":0.4119511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06571126346900978,"score_gpt":0.2790857489586946,"score_spread":0.2133744854896849,"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."}}