{"id":"W4407365840","doi":"10.1021/acs.analchem.4c03709","title":"SIGNIFICANT IMPACT OF CONSUMABLE MATERIAL AND BUFFER COMPOSITION FOR LOW-CELL NUMBER PROTEOMIC SAMPLE PREPARATION","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Stichting Tegen Kanker; Fonds De La Recherche Scientifique - FNRS","keywords":"Chemistry; Buffer (optical fiber); Sample preparation; Sample (material); Composition (language); Chromatography; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002061831,0.001352552,0.000768353,0.0005637035,0.0003822773,0.001625134,0.0008007979,0.0008201114,0.002667809],"category_scores_gemma":[0.002756106,0.0005036939,0.0004382632,0.0004882093,0.0005458629,0.001061342,0.0007686606,0.0008890777,0.001739185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005117474,"about_ca_system_score_gemma":0.000551759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004574766,"about_ca_topic_score_gemma":0.000889612,"domain_scores_codex":[0.998599,0.0003171773,0.000122437,0.000397463,0.000480742,0.00008316294],"domain_scores_gemma":[0.9985885,0.0007376067,0.0002206489,0.0001543298,0.0002242835,0.00007457457],"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":[0.00007248382,0.00002379947,0.0002669802,0.0001696566,0.00001256311,0.00006189414,0.00001837422,0.0001082323,0.9959041,0.00008382466,0.00009047215,0.003187502],"study_design_scores_gemma":[0.00000658404,0.0001477847,0.001775836,0.00002841037,0.0000298698,0.0001836688,0.00003060037,0.0008429943,0.9931803,0.0000868233,0.003676307,0.00001091448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8169817,0.01199857,0.1551251,0.001553084,0.0007233112,0.001133173,0.002975454,0.0027561,0.006753449],"genre_scores_gemma":[0.6565711,0.008011876,0.3195505,0.001266646,0.0001803776,0.001094387,0.005401014,0.001528762,0.006395411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002667809,"threshold_uncertainty_score":0.01090413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008084622592865028,"score_gpt":0.3163664040385045,"score_spread":0.3082817814456395,"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."}}