{"id":"W4394584159","doi":"","title":"Protein quantification in complex matrices by mass spectrometry : new tools and applications","year":2016,"lang":"fr","type":"preprint","venue":"","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass spectrometry; Computer science; Chemistry; Data science; Computational biology; Chromatography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003732664,0.00213199,0.001504524,0.003483752,0.0007789822,0.002834153,0.001454963,0.003078626,0.001661702],"category_scores_gemma":[0.002146828,0.001153978,0.001159972,0.002485794,0.001874449,0.002900605,0.001872981,0.002144343,0.001232247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145662,"about_ca_system_score_gemma":0.0009020469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007808525,"about_ca_topic_score_gemma":0.001105851,"domain_scores_codex":[0.9967442,0.0006737946,0.0001602027,0.0009346298,0.00136983,0.0001173209],"domain_scores_gemma":[0.9981931,0.000733998,0.0003631669,0.00021645,0.0003592708,0.0001341085],"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":[0.0001907224,0.0000993459,0.001456969,0.00187854,0.0001639478,0.0002882603,0.0002471198,0.001009946,0.9094577,0.003834587,0.001040436,0.08033238],"study_design_scores_gemma":[0.00006344241,0.0006247214,0.007644826,0.0005465808,0.0002395392,0.003585122,0.0003887268,0.03231981,0.8578923,0.01104165,0.08540701,0.0002463728],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1007099,0.1294865,0.7544098,0.003018253,0.0007481902,0.0004530172,0.001203036,0.003614716,0.006356493],"genre_scores_gemma":[0.1764719,0.08208846,0.7316389,0.001160684,0.0004407783,0.0005668135,0.0007888593,0.0003580243,0.006485547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003732664,"threshold_uncertainty_score":0.01974046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405566234285028,"score_gpt":0.2936370684842935,"score_spread":0.2595814061414432,"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."}}