{"id":"W2098446518","doi":"10.1186/1754-6834-6-132","title":"Towards practical time-of-flight secondary ion mass spectrometry lignocellulolytic enzyme assays","year":2013,"lang":"en","type":"article","venue":"Biotechnology for Biofuels","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Cellulase; Mass spectrometry; Chemistry; Cellulose; Secondary ion mass spectrometry; Lignin; Softwood; Contamination; Sample preparation; Chromatography; Hardwood; Analytical Chemistry (journal); Materials science; Biochemistry; Botany; Organic chemistry","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":[0.006626617,0.001867485,0.0009216685,0.001249793,0.0002806454,0.002217221,0.00155962,0.001923099,0.002353019],"category_scores_gemma":[0.003421501,0.0006130499,0.0007584734,0.0008111785,0.001029172,0.001363751,0.001300748,0.002929972,0.002603127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008832432,"about_ca_system_score_gemma":0.0009499725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924343,"about_ca_topic_score_gemma":0.0007666006,"domain_scores_codex":[0.9958769,0.001437695,0.0002471006,0.0006111959,0.001657667,0.000169515],"domain_scores_gemma":[0.9975078,0.0007191828,0.0002492099,0.0002750527,0.001086331,0.0001623531],"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":[0.00008260496,0.0001189958,0.0007415686,0.0003814806,0.00002208191,0.00005937025,0.0000494838,0.0008932063,0.9749243,0.001315981,0.000478095,0.02093291],"study_design_scores_gemma":[0.0000333408,0.0008914381,0.001963101,0.00009775147,0.00003786007,0.0005906328,0.0001174277,0.01699944,0.9568973,0.002418363,0.01991143,0.00004182519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05151804,0.004588863,0.9361461,0.00119339,0.0002552209,0.0007550624,0.0007658252,0.001306709,0.003470711],"genre_scores_gemma":[0.07731112,0.004395801,0.9132819,0.0002748042,0.0001283392,0.0005955686,0.001388007,0.0001456565,0.002478846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006626617,"threshold_uncertainty_score":0.03504533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008599985031008311,"score_gpt":0.2311053006983313,"score_spread":0.222505315667323,"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."}}