{"id":"W1971083640","doi":"10.1021/pr0700246","title":"Assessing Detection Methods for Gel-Based Proteomic Analyses","year":2007,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computational biology; Chromatography; Proteomics; Computer science; Chemistry; Biology; Biochemistry; Gene","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":[0.01382171,0.002865162,0.001598362,0.004697962,0.001320928,0.002348394,0.003167992,0.003042388,0.004909187],"category_scores_gemma":[0.025165,0.001278792,0.001048711,0.002804049,0.001020884,0.002636074,0.001838201,0.002219531,0.006409673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060228,"about_ca_system_score_gemma":0.001129589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006513409,"about_ca_topic_score_gemma":0.001084593,"domain_scores_codex":[0.9818649,0.005795583,0.001634032,0.002293637,0.007750182,0.0006616864],"domain_scores_gemma":[0.9837324,0.005792696,0.002007283,0.001836385,0.006152873,0.0004783194],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001630089,0.0001096865,0.0006490748,0.001150675,0.00006801317,0.00015196,0.0001199333,0.0002523923,0.9666982,0.0009478349,0.0009014785,0.02878765],"study_design_scores_gemma":[0.00003255475,0.0004749659,0.002463119,0.0002457421,0.0001300924,0.001207127,0.0001429549,0.004393427,0.9597152,0.001160227,0.02996922,0.00006527198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04700078,0.01407935,0.9284135,0.000855573,0.0006427933,0.001460455,0.0008266544,0.00255946,0.004161562],"genre_scores_gemma":[0.06138387,0.01067705,0.9162968,0.0005273969,0.0001662925,0.002626668,0.00245812,0.0007270214,0.005136724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9861783,"threshold_uncertainty_score":0.07309711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2863233293081716,"score_gpt":0.6144922563299158,"score_spread":0.3281689270217442,"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."}}