{"id":"W2803674859","doi":"10.1002/pmic.201800110","title":"Minimal Information About an Immuno‐Peptidomics Experiment (MIAIPE)","year":2018,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Microsemi (Canada)","funders":"National Institute of General Medical Sciences; Horizon 2020 Framework Programme; National Cancer Institute; National Institutes of Health; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; Israel Science Foundation; Ludwig Institute for Cancer Research","keywords":"Proteomics; Proteome; Human proteome project; Quantitative proteomics; Computational biology; Computer science; Bioinformatics; Data science; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046556,0.0001730572,0.0001256007,0.00004518696,0.000152769,0.0001156117,0.0002799545,0.0001539683,0.00003567954],"category_scores_gemma":[0.0000369822,0.0001618944,0.00006569408,0.00005964695,0.00007179522,0.00005364265,0.0001590026,0.00008092791,0.00009531393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002419613,"about_ca_system_score_gemma":0.00007709878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001891318,"about_ca_topic_score_gemma":0.000004227642,"domain_scores_codex":[0.9991016,0.0000197176,0.0003639826,0.0001477428,0.0001063216,0.0002605939],"domain_scores_gemma":[0.9991577,0.000001917416,0.0001564963,0.0004669348,0.0001457544,0.0000712465],"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":[0.0005781345,0.0001259501,0.0004713712,0.00004844415,0.00007838899,2.095249e-7,0.002470487,0.00003111965,0.974788,0.0007954396,0.001704993,0.0189075],"study_design_scores_gemma":[0.00106971,0.001021611,0.001120842,0.0000126063,0.00001045438,0.00002073765,0.0008036416,0.004658481,0.92553,0.00007750329,0.065327,0.0003473741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891342,0.0001446379,0.006888222,0.00004771207,0.0001964192,0.0004564957,0.0000151907,0.00002354272,0.003093601],"genre_scores_gemma":[0.9652059,0.000101284,0.03326755,0.0003812198,0.0004276734,0.00009445649,0.0003676384,0.00002124755,0.0001329921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06362201,"threshold_uncertainty_score":0.6601863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047079062508639,"score_gpt":0.2452412338822285,"score_spread":0.2347704432571421,"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."}}