{"id":"W2966422660","doi":"10.3390/microorganisms7080235","title":"Spectral Grouping of Nominally Aspergillus versicolor Microbial-Collection Deposits by MALDI-TOF MS","year":2019,"lang":"en","type":"article","venue":"Microorganisms","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; Ministry of Agriculture of the People's Republic of China; Department for International Development","keywords":"Matrix-assisted laser desorption/ionization; Food spoilage; Mass spectrometry; Aspergillus; Environmental science; Biology; Botany; Chromatography; Chemistry; Desorption; Bacteria; Paleontology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001427377,0.000138677,0.0001659384,0.0000402503,0.00007840071,0.00004159052,0.0001836103,0.0001489832,0.0002390051],"category_scores_gemma":[0.00003767488,0.0001557963,0.00008824274,0.0001242794,0.00004494644,0.000007985977,0.0000798654,0.00007392773,0.00008428052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004946213,"about_ca_system_score_gemma":0.00006266076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029381,"about_ca_topic_score_gemma":0.0001201944,"domain_scores_codex":[0.9990332,0.00004953585,0.0002733449,0.0003661,0.00007169005,0.0002061851],"domain_scores_gemma":[0.9994268,0.000008934516,0.0001335437,0.0002889455,0.00009052982,0.00005122004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007233591,0.0000779555,0.004890671,0.00003090367,0.00003139403,5.501407e-7,0.00009711355,0.00000347575,0.9924891,0.00001569104,0.002115498,0.0001753094],"study_design_scores_gemma":[0.0005512128,0.0002204351,0.01481086,0.00001340222,0.00001844691,0.00002266715,0.00006311181,0.000009917948,0.9807596,0.000007162069,0.003353275,0.0001699614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979793,0.00009834819,0.0004240311,0.0001070849,0.0004245955,0.0002439503,0.00002076902,0.00001970454,0.000682242],"genre_scores_gemma":[0.9950159,0.00001271116,0.001408607,0.0001376126,0.000092177,0.000002778084,0.0001835685,0.00002621449,0.003120474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01172956,"threshold_uncertainty_score":0.6353188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004671011022738518,"score_gpt":0.195966063586468,"score_spread":0.1912950525637294,"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."}}