{"id":"W2079720946","doi":"10.1021/pr050084g","title":"Impact of Replicate Types on Proteomic Expression Analysis","year":2005,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Replicate; Protein expression; Proteomics; Computational biology; Quantitative proteomics; Expression (computer science); Statistical analysis; Difference gel electrophoresis; Biology; Computer science; Statistics; Genetics; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1519563,0.003181995,0.003791766,0.002451424,0.00294268,0.00467126,0.003602622,0.004073164,0.003461892],"category_scores_gemma":[0.294114,0.002813595,0.004066542,0.00337017,0.003802566,0.002932044,0.004787412,0.004493076,0.002132336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002158877,"about_ca_system_score_gemma":0.001745837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200837,"about_ca_topic_score_gemma":0.0022557,"domain_scores_codex":[0.6418098,0.2023878,0.03731846,0.03252789,0.08299968,0.002956363],"domain_scores_gemma":[0.6240275,0.2786434,0.01569955,0.04932719,0.03093644,0.001365962],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02668341,0.004354919,0.07073559,0.008552215,0.01031818,0.002387928,0.004474063,0.02804334,0.4911889,0.01853002,0.0115044,0.323227],"study_design_scores_gemma":[0.00118814,0.01273208,0.07874767,0.001026525,0.006893555,0.002104767,0.001026124,0.0344874,0.7571827,0.03500515,0.06841137,0.001194509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2037834,0.01113429,0.7366466,0.004429931,0.008021239,0.0113442,0.004088439,0.003782566,0.01676945],"genre_scores_gemma":[0.400955,0.003559116,0.5501896,0.006341934,0.00176119,0.01767265,0.004734623,0.004209821,0.0105761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8480437,"threshold_uncertainty_score":0.8036313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06085630232042737,"score_gpt":0.4495538454555956,"score_spread":0.3886975431351682,"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."}}