{"id":"W2312903045","doi":"10.4141/cjps2013-113","title":"Comparative study of six methods of protein extraction for two-dimensional gel electrophoresis of proteomic profiling in poplar stems","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de la Recherche Agronomique","keywords":"Chromatography; Chaotropic agent; Immobilized pH gradient; Gel electrophoresis; Sodium dodecyl sulfate; Chemistry; Electrophoresis; Protein purification; Two-dimensional gel electrophoresis; Polyacrylamide gel electrophoresis; Extraction (chemistry); Gel electrophoresis of proteins; Silver stain; Lysis buffer; Urea; Proteomics; Biochemistry; Biology; Enzyme; Isoelectric focusing; Molecular biology; Lysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00229866,0.001402102,0.001033329,0.001810461,0.0006523003,0.0009670316,0.0008148312,0.0007402566,0.0006791441],"category_scores_gemma":[0.002269911,0.0005398476,0.001411547,0.001187158,0.0004123417,0.001171096,0.0007759591,0.0008909319,0.0004052659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003980402,"about_ca_system_score_gemma":0.0005718515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005792759,"about_ca_topic_score_gemma":0.001192037,"domain_scores_codex":[0.9977703,0.0005134717,0.0004094065,0.0004088583,0.0007033294,0.0001946829],"domain_scores_gemma":[0.9983934,0.0004827755,0.0003266308,0.0001357399,0.0005424549,0.0001189919],"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":[0.0007240067,0.000219479,0.001777313,0.0008662709,0.000166421,0.0001253923,0.0001596596,0.0001261105,0.9792169,0.0001007637,0.0001637079,0.01635398],"study_design_scores_gemma":[0.00005734491,0.001131683,0.02266091,0.00006467156,0.000553328,0.001012682,0.000150072,0.0011235,0.9664539,0.0001289511,0.006574972,0.00008789755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339906,0.03423226,0.1254602,0.000581248,0.0005398882,0.0009606122,0.001218875,0.0003961424,0.002620209],"genre_scores_gemma":[0.6355024,0.03143165,0.318732,0.0005119147,0.0002320588,0.002197563,0.006200443,0.0004659117,0.004726094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00229866,"threshold_uncertainty_score":0.01215661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155217668985715,"score_gpt":0.3159784025979031,"score_spread":0.294426225908046,"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."}}