{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007763199,0.0001503422,0.0001646053,0.0002597344,0.0001284069,0.00004307289,0.001054148,0.0001892653,0.0001747697],"category_scores_gemma":[0.0005615488,0.0001481197,0.00009010291,0.0005649108,0.000291745,0.000005922358,0.000266381,0.0003244461,0.0000868491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005867547,"about_ca_system_score_gemma":0.0001268892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001319192,"about_ca_topic_score_gemma":0.00003611008,"domain_scores_codex":[0.9985117,0.0002234785,0.0003721995,0.00022815,0.0002552783,0.0004092445],"domain_scores_gemma":[0.9977733,0.00006559289,0.00007188873,0.001874754,0.00008144494,0.000133007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001073764,0.001657759,0.04873727,0.0001754932,0.00030784,0.000006997323,0.000396428,0.00003934155,0.8592191,0.02171377,0.01957644,0.04806214],"study_design_scores_gemma":[0.002241714,0.0009577098,0.02017475,0.00006557473,0.00002712729,0.00003718829,0.001160618,0.001176511,0.2087465,0.008314848,0.7561906,0.000906868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3008461,0.01652104,0.02185562,0.004813495,0.0005510449,0.001166645,0.0000475055,0.00008872237,0.6541098],"genre_scores_gemma":[0.9151878,0.0107867,0.07196262,0.0002466339,0.00005781531,0.0000420998,0.000124392,0.00002104398,0.00157084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7366142,"threshold_uncertainty_score":0.6040146,"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."}}