{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002481489,0.0005747991,0.0002602164,0.0005526132,0.0002039208,0.0003060749,0.0002788691,0.0005404323,0.0008299909],"category_scores_gemma":[0.000233745,0.0002292707,0.0002711316,0.0003647599,0.0002453678,0.0003925953,0.0002951946,0.0006058657,0.000349646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002451055,"about_ca_system_score_gemma":0.0001616568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004312753,"about_ca_topic_score_gemma":0.0009063684,"domain_scores_codex":[0.9998028,0.00002300366,0.000009631219,0.00007332955,0.00006292964,0.00002835758],"domain_scores_gemma":[0.9998067,0.0000543938,0.0000570463,0.00001115068,0.00004035779,0.00003027699],"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":[0.00002147851,0.000005052232,0.0001018725,0.00002415852,0.000001966138,0.0000361974,0.00001014765,0.00002778111,0.9989242,0.00001321689,0.00001544504,0.0008185514],"study_design_scores_gemma":[0.000004839193,0.0000982776,0.00499127,0.000005951435,0.0000106182,0.000315001,0.000034811,0.003538392,0.9901518,0.00003303467,0.0008032135,0.00001271469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050465,0.005614209,0.08279102,0.0002560074,0.0001087408,0.0001645329,0.001488791,0.0007085626,0.003821578],"genre_scores_gemma":[0.872633,0.003987143,0.1181275,0.0002831359,0.00004994191,0.0002171783,0.0008385612,0.0001242979,0.003739198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008299909,"threshold_uncertainty_score":0.002776623,"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."}}