{"id":"W4318753623","doi":"10.1021/acs.analchem.2c04264","title":"ASAP─Automated Sonication-Free Acid-Assisted Proteomes─from Cells and FFPE Tissues","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Michael Cuccione Foundation; University of British Columbia; Mitacs; Canada Research Chairs; BC Children's Hospital; Michael Smith Health Research BC; BC Children’s Hospital Foundation; Children's Hospital Foundation","keywords":"Proteome; Workflow; Chemistry; Sample preparation; Sonication; Proteomics; Pipeline (software); Computational biology; Chromatography; Computer science; Database; Biochemistry; 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":[0.001069062,0.001437201,0.0005359274,0.0008954121,0.0006918111,0.0009142552,0.0009103886,0.0005278285,0.002511585],"category_scores_gemma":[0.0008578843,0.0005365085,0.0006434942,0.0007482693,0.0005280144,0.000655137,0.0009329742,0.001309744,0.003499978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682218,"about_ca_system_score_gemma":0.001582153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006304745,"about_ca_topic_score_gemma":0.001095638,"domain_scores_codex":[0.9991066,0.0001193286,0.0001045321,0.0002345856,0.0003541444,0.0000808033],"domain_scores_gemma":[0.9995434,0.00008839025,0.00008384431,0.0001091339,0.0001388143,0.00003638269],"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":[0.0000986625,0.00003326132,0.000482106,0.0001808596,0.00002323729,0.00008655522,0.00004991654,0.0002220866,0.9758833,0.000423414,0.001335722,0.02118086],"study_design_scores_gemma":[0.00002227425,0.0001696638,0.004393826,0.00003733174,0.00003618243,0.0005605043,0.00003634588,0.002752198,0.9539053,0.0005151014,0.03752721,0.00004404329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2016752,0.005770884,0.7671158,0.0006150982,0.0006465425,0.002614314,0.005986933,0.007738728,0.007836584],"genre_scores_gemma":[0.1802794,0.007361311,0.7751851,0.0006640779,0.0002187958,0.003469906,0.02272139,0.001188955,0.008910988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002511585,"threshold_uncertainty_score":0.008402109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670598663194153,"score_gpt":0.2964341212854215,"score_spread":0.27972813465348,"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."}}