{"id":"W2568351574","doi":"10.5740/jaoacint.smpr2016.002","title":"AOAC SMPR® 2016.002","year":2016,"lang":"fr","type":"article","venue":"Journal of AOAC International","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada); Canadian Food Inspection Agency","funders":"","keywords":"Business","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006885473,0.0001985677,0.0004029465,0.0005229025,0.0000583916,0.00005408518,0.0002992068,0.0001612134,0.03372042],"category_scores_gemma":[0.0006035323,0.0001305457,0.0006490556,0.0001604199,0.0001933621,0.000566215,0.00005923233,0.0003501856,0.001878904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005396706,"about_ca_system_score_gemma":0.000379709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001569834,"about_ca_topic_score_gemma":0.000005125754,"domain_scores_codex":[0.9974499,0.00009650808,0.0009894936,0.0001742773,0.0009748201,0.0003150029],"domain_scores_gemma":[0.997337,0.0002159928,0.0007735802,0.0001694948,0.001132164,0.0003717825],"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":[0.0005892717,0.001206095,0.009396137,0.00006403527,0.002662197,0.001714766,0.0002610651,0.00002826965,0.08071401,0.01143606,0.7656876,0.1262405],"study_design_scores_gemma":[0.006595356,0.0006219969,0.007995059,0.01083176,0.0005174642,0.003195789,0.0002624118,0.000460921,0.02158548,0.002656162,0.9449505,0.00032715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2298498,0.01276588,0.03624652,0.5466787,0.03019325,0.0002444024,0.0005674434,0.00005482154,0.1433992],"genre_scores_gemma":[0.7251821,0.002187911,0.001275714,0.002071031,0.01189066,0.000001446563,0.000009223053,0.00002834732,0.2573536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5446076,"threshold_uncertainty_score":0.9988983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331355163866127,"score_gpt":0.2954527006487747,"score_spread":0.2821391490101134,"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."}}