{"id":"W4285800573","doi":"10.1101/2022.07.18.500507","title":"Proteome coverage after simultaneous proteo-metabolome liquid-liquid extraction","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Universität Innsbruck; European Commission; HORIZON EUROPE Framework Programme; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Proteome; Metabolome; Chromatography; Proteomics; Lysis; Interphase; Extraction (chemistry); Chemistry; Quantitative proteomics; Sodium dodecyl sulfate; Metabolomics; Biology; Biochemistry; Cell biology","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":[0.0005699469,0.0006206666,0.0006205344,0.0005875923,0.0002995781,0.0004440135,0.0002925346,0.0003502751,0.0006938636],"category_scores_gemma":[0.0008076725,0.0002274887,0.000384026,0.0007898938,0.0002084138,0.0004117637,0.000497552,0.0006030371,0.0005247879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997817,"about_ca_system_score_gemma":0.0002296168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004559107,"about_ca_topic_score_gemma":0.0007433306,"domain_scores_codex":[0.9991847,0.0001435585,0.00006504031,0.0001495937,0.0003589359,0.00009827062],"domain_scores_gemma":[0.9994171,0.0002108371,0.00009929149,0.00004665568,0.000196659,0.00002957089],"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":[0.00005044412,0.00001018042,0.0001734921,0.00003884549,0.000008870269,0.0000186521,0.0000148197,0.00002381176,0.9986405,0.000007194139,0.00001618919,0.0009968975],"study_design_scores_gemma":[0.000002198484,0.00009417459,0.004955804,0.000006092723,0.00002037885,0.0000558139,0.00002019657,0.0004470902,0.9936743,0.00001406365,0.000703203,0.000006678618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9557182,0.004902768,0.03478673,0.0001356824,0.00007786221,0.0001348527,0.002202241,0.0003151354,0.001726552],"genre_scores_gemma":[0.9432085,0.003903851,0.0413623,0.0001964379,0.00004313128,0.0003485765,0.00628667,0.0002566247,0.004393846],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0006938636,"threshold_uncertainty_score":0.003014147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009143526768988343,"score_gpt":0.2450270800751217,"score_spread":0.2358835533061334,"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."}}