{"id":"W2094034566","doi":"10.1016/j.mimet.2007.02.013","title":"Data transformations in the analysis of community-level substrate utilization data from microplates","year":2007,"lang":"en","type":"article","venue":"Journal of Microbiological Methods","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homoscedasticity; Principal component analysis; Multivariate analysis of variance; Normalization (sociology); Mathematics; Multivariate statistics; Compositional data; Logarithm; Statistics; Homogeneity (statistics); Normality; Biological system; Heteroscedasticity; Biology","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":[0.00839822,0.003803744,0.002838676,0.005080389,0.002011427,0.003259563,0.00315117,0.001266087,0.01611492],"category_scores_gemma":[0.02877317,0.001580274,0.002603063,0.007578124,0.001349756,0.001273416,0.00211815,0.004755719,0.009699306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016362,"about_ca_system_score_gemma":0.002492903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195045,"about_ca_topic_score_gemma":0.003680374,"domain_scores_codex":[0.9840552,0.004213466,0.002990369,0.002896797,0.004747637,0.001096649],"domain_scores_gemma":[0.9791739,0.007622898,0.001355989,0.007510006,0.00400702,0.0003301763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00516925,0.002588018,0.0219226,0.002948762,0.0006464925,0.0008137691,0.003883534,0.004224624,0.6318682,0.009057128,0.01820875,0.2986689],"study_design_scores_gemma":[0.0001250043,0.0007672778,0.02315314,0.0001249689,0.0001933169,0.0004670015,0.0006436819,0.02450234,0.9098275,0.005322146,0.03465376,0.0002198057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08040876,0.0002601686,0.835584,0.0003145615,0.0008705468,0.003123345,0.04248546,0.03153656,0.005416515],"genre_scores_gemma":[0.0770655,0.0002764269,0.8768622,0.0001763312,0.00008660233,0.01142794,0.02218255,0.007328965,0.004593519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01611492,"threshold_uncertainty_score":0.05390978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3915417683102552,"score_gpt":0.4400389663251723,"score_spread":0.04849719801491709,"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."}}