{"id":"W2737891216","doi":"10.5740/jaoacint.smpr2017_011","title":"AOAC SMPR<sup>®</sup> 2017.011","year":2017,"lang":"fr","type":"article","venue":"Journal of AOAC International","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Chemistry; Radiochemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001007151,0.0002766523,0.0005813615,0.0005022542,0.0003762714,0.000371722,0.0008508383,0.0002347595,0.01357494],"category_scores_gemma":[0.001218301,0.0002482267,0.000871475,0.00007583589,0.0003677856,0.001029107,0.0001596513,0.0008818075,0.001176878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000434617,"about_ca_system_score_gemma":0.0004055294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009990371,"about_ca_topic_score_gemma":0.00001252221,"domain_scores_codex":[0.9969153,0.00009564128,0.001102395,0.0002427277,0.001243372,0.0004005928],"domain_scores_gemma":[0.9959084,0.0001167554,0.00164259,0.0004878729,0.001365441,0.0004789641],"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":[0.001211811,0.002808647,0.04583071,0.0002351751,0.006820223,0.008252065,0.001967919,0.002018946,0.006661828,0.01719975,0.8454215,0.06157146],"study_design_scores_gemma":[0.01124346,0.001003469,0.05288871,0.01050952,0.0015693,0.008404555,0.001697245,0.03907432,0.006531253,0.003862836,0.8624294,0.0007858623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399338,0.005777542,0.003810324,0.2062638,0.011119,0.0002343005,0.0004088896,0.00003645163,0.2324159],"genre_scores_gemma":[0.8910198,0.001147262,0.001406603,0.001680967,0.01328986,0.000001801974,0.00003032095,0.0000320866,0.09139127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.351086,"threshold_uncertainty_score":0.999997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03341754461880463,"score_gpt":0.3419156392152522,"score_spread":0.3084980945964476,"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."}}