{"id":"W2897574815","doi":"10.1186/s13007-018-0358-8","title":"A simple and inexpensive method for practical storage of field-sample proteins for subsequent MALDI-TOF MS analysis","year":2018,"lang":"en","type":"article","venue":"Plant Methods","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"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":"Sample preparation; Chromatography; Trifluoroacetic acid; Filter paper; Matrix-assisted laser desorption/ionization; Chemistry; Mass spectrometry; Matrix (chemical analysis); Desorption; Adsorption","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008094754,0.001368661,0.0006277391,0.001264491,0.0006777379,0.0005026638,0.0008739446,0.0007974678,0.008535452],"category_scores_gemma":[0.0005351084,0.0005742028,0.0006176205,0.0008018872,0.0002942157,0.0007724955,0.0006634868,0.001219439,0.00693101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002597571,"about_ca_system_score_gemma":0.0004470665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003354816,"about_ca_topic_score_gemma":0.001024952,"domain_scores_codex":[0.9992368,0.00008940201,0.00006654408,0.0002191427,0.0003343146,0.00005364569],"domain_scores_gemma":[0.9996759,0.00005666344,0.0000701183,0.00007547402,0.000088265,0.00003363549],"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":[0.00003814544,0.00003494902,0.000149194,0.0001399534,0.00001099577,0.00007278433,0.00001683382,0.0000278338,0.9869345,0.00006309023,0.0006155203,0.01189623],"study_design_scores_gemma":[0.00004204797,0.0004396783,0.00621083,0.00005853275,0.0000788258,0.001899209,0.00005165349,0.001164443,0.9426445,0.0002465479,0.04710494,0.00005890929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1448958,0.009587794,0.8213697,0.001009023,0.0007846205,0.00285798,0.005702332,0.005601986,0.008190639],"genre_scores_gemma":[0.1542374,0.006538344,0.8060038,0.000585157,0.0002140888,0.00344296,0.01049436,0.0006026855,0.01788108],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008535452,"threshold_uncertainty_score":0.0285539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06305173524644658,"score_gpt":0.4305345837005609,"score_spread":0.3674828484541143,"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."}}