{"id":"W2002527356","doi":"10.1002/rcm.1300","title":"John Herbert Beynon","year":2003,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006099191,0.0005767324,0.0003121113,0.0008265895,0.002112083,0.002997958,0.000816998,0.001650248,0.2312164],"category_scores_gemma":[0.003345052,0.0002796841,0.0001722034,0.0003802657,0.0008117047,0.001913222,0.002178741,0.002584938,0.08306687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640688,"about_ca_system_score_gemma":0.002246968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006870851,"about_ca_topic_score_gemma":0.02056296,"domain_scores_codex":[0.9992458,0.00007483533,0.00002378188,0.0001846485,0.0003775896,0.00009334605],"domain_scores_gemma":[0.9985774,0.0001414133,0.00006191136,0.00006474816,0.0004437742,0.0007107819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001325577,0.00001297086,0.0001489025,0.00003749682,0.000001213908,0.0001525614,0.00009491071,0.00001631293,0.0001832717,0.003690401,0.9489335,0.04671524],"study_design_scores_gemma":[0.000001122122,0.000004499005,0.0001384083,0.00004403674,5.669569e-7,0.0002205917,0.00007609309,0.000009911702,0.00005145422,0.000342015,0.9991086,0.000002649272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003477902,0.0591937,0.002436882,0.1606085,0.06898372,0.0001002195,0.0005683026,0.000851423,0.7037792],"genre_scores_gemma":[0.006395453,0.008937895,0.0005416122,0.01493079,0.001947643,0.00002584071,0.0001250643,0.0001682112,0.9669274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2312164,"threshold_uncertainty_score":0.7734959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370334705457072,"score_gpt":0.3076547840681735,"score_spread":0.2839514370136028,"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."}}