{"id":"W1985415840","doi":"10.1007/s12010-012-9661-4","title":"Cell Culture Tracking by Multivariate Analysis of Raw LCMS Data","year":2012,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital du Saint-Sacrement; Université Laval; Feldan (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cell culture; Chromatography; Mass spectrometry; Computer science; Computational biology; Proteome; Chemistry; Multivariate statistics; Process (computing); Sample preparation; Biological system; Biochemical engineering; Biochemistry; Biology; Machine learning; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009649897,0.000188816,0.0002978208,0.0000496763,0.00008731373,0.00001008239,0.0005337517,0.0006900292,0.00007521176],"category_scores_gemma":[0.00001625679,0.0001729238,0.0000492453,0.0004227499,0.0002317831,0.00005125451,0.0003826714,0.000316724,0.000001791694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001799149,"about_ca_system_score_gemma":0.000008989259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001244975,"about_ca_topic_score_gemma":4.149069e-7,"domain_scores_codex":[0.9989257,0.000002501058,0.0002656643,0.0004404815,0.00007744138,0.0002881446],"domain_scores_gemma":[0.9986712,0.00002670335,0.0002196947,0.0009897442,0.00002048369,0.00007212756],"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":[0.00001532321,0.0001290367,0.0002269936,0.00006566611,0.0001148382,1.695504e-7,0.00003035186,0.000001262826,0.9947484,0.001129556,0.0005436639,0.002994804],"study_design_scores_gemma":[0.0001805554,0.000003976621,0.000006405339,0.000005818814,0.0003043564,0.000003006798,0.0001885408,0.000161925,0.9869418,0.000225738,0.01177849,0.0001993424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594967,0.002474141,0.02983308,0.0003401915,0.00001242317,0.0001759293,0.001013959,0.000394035,0.006259483],"genre_scores_gemma":[0.9797721,0.0004169809,0.0182951,0.00003495394,0.00003715276,0.00003667562,0.001189901,0.00001409435,0.0002030533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02027532,"threshold_uncertainty_score":0.7051628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363523215552485,"score_gpt":0.2715036285056777,"score_spread":0.2578683963501529,"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."}}