{"id":"W2298378897","doi":"10.1021/acs.analchem.5b03614","title":"Imprint Desorption Electrospray Ionization Mass Spectrometry Imaging for Monitoring Secondary Metabolites Production during Antagonistic Interaction of Fungi","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Chemistry; Mass spectrometry; Potato dextrose agar; Mass spectrometry imaging; Agar plate; Desorption electrospray ionization; Desorption; Chromatography; Agar; Chemical ionization; Ionization; Biology; Ion; Bacteria","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003151752,0.0001310879,0.0001565907,0.0000424236,0.00006846188,0.00005352369,0.00009735102,0.00008698339,0.00002034115],"category_scores_gemma":[0.0008719389,0.0001448946,0.00009207401,0.000157535,0.00004721769,0.00002386141,0.00003755443,0.0001113172,0.000002244042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008984651,"about_ca_system_score_gemma":0.00007581506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007127883,"about_ca_topic_score_gemma":7.127795e-7,"domain_scores_codex":[0.9989156,0.00002644264,0.0003489096,0.0003832066,0.0001275406,0.0001983497],"domain_scores_gemma":[0.9990782,0.00001739965,0.000165987,0.0002639659,0.0003787728,0.00009565438],"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":[0.0001102772,0.00004982328,0.01347558,0.000132299,0.0000355968,2.902042e-7,0.00001784265,0.00003932026,0.9853389,0.00001987635,0.00002481953,0.0007553451],"study_design_scores_gemma":[0.0003088415,0.00002454491,0.006773034,0.000019165,0.00005688507,0.00001593688,0.0001656838,0.00158184,0.9905857,0.0001815709,0.0001474463,0.0001393272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883562,0.0002669203,0.01064734,0.00007878084,0.0002521844,0.0001337122,0.000009449423,0.00002858522,0.0002268798],"genre_scores_gemma":[0.9951679,0.00003238852,0.003425721,0.000005303652,0.0007419852,0.00001633362,0.0002276061,0.00001965404,0.0003631143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007221615,"threshold_uncertainty_score":0.590863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828197412211722,"score_gpt":0.2837158108398481,"score_spread":0.2654338367177309,"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."}}