{"id":"W2568168270","doi":"10.5740/jaoacint.smpr2016.005","title":"AOAC SMPR® 2016.005","year":2016,"lang":"fr","type":"article","venue":"Journal of AOAC International","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","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":[0.0007076466,0.0001983828,0.0004024925,0.000515949,0.00005803423,0.00005349553,0.0002981825,0.0001610046,0.03046127],"category_scores_gemma":[0.0005856005,0.0001302606,0.0006485225,0.0001570104,0.0001924198,0.0005717179,0.00005938638,0.0003504779,0.001613757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005567503,"about_ca_system_score_gemma":0.0004087601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613446,"about_ca_topic_score_gemma":0.000006885185,"domain_scores_codex":[0.99745,0.00009561419,0.0009926364,0.000173786,0.0009715294,0.0003164368],"domain_scores_gemma":[0.9975283,0.0002139196,0.0007740951,0.0001689917,0.000941257,0.0003734846],"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":[0.0007844292,0.001516381,0.01431922,0.00007935223,0.003367145,0.002043008,0.0003073653,0.00003886607,0.1052154,0.01681237,0.6841865,0.17133],"study_design_scores_gemma":[0.006809748,0.000621499,0.01208553,0.01122995,0.0005335492,0.003269491,0.0002587913,0.0004454615,0.02027519,0.002814771,0.9413195,0.0003365181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2494868,0.01168409,0.03408263,0.5542225,0.02142392,0.0002297339,0.0005456025,0.00005166464,0.1282731],"genre_scores_gemma":[0.7888662,0.002222604,0.001527553,0.002400541,0.01315995,0.000001476959,0.00001024398,0.00002947193,0.191782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.551822,"threshold_uncertainty_score":0.9991636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263414795364271,"score_gpt":0.2975388866765978,"score_spread":0.2849047387229551,"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."}}