{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00204188,0.0007067029,0.0006974639,0.001848254,0.0008415703,0.003201171,0.0008566309,0.002769437,0.5993296],"category_scores_gemma":[0.00499905,0.0004429201,0.0008923112,0.0009736912,0.0007256438,0.001268582,0.001402361,0.002143429,0.5257401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006327499,"about_ca_system_score_gemma":0.002188446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002500626,"about_ca_topic_score_gemma":0.002764948,"domain_scores_codex":[0.9987159,0.000166481,0.0001592929,0.0001485646,0.000705703,0.000104189],"domain_scores_gemma":[0.9974009,0.0003519859,0.000370159,0.0003029291,0.001082612,0.0004914737],"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":[0.0004947455,0.0001576718,0.0006369095,0.0005695515,0.000020058,0.0002917987,0.0000522694,0.0001615062,0.002517399,0.001696622,0.5725122,0.4208892],"study_design_scores_gemma":[0.00006441383,0.0001057107,0.0006355174,0.0002144827,0.000009809012,0.0006729781,0.00003258232,0.00020411,0.0006985469,0.0005211527,0.9968308,0.00001001058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003600374,0.01743262,0.009373989,0.01430797,0.011553,0.000431562,0.004250352,0.009058187,0.9299919],"genre_scores_gemma":[0.02013825,0.01679414,0.009695184,0.008920195,0.005274617,0.0002488091,0.005119577,0.001850978,0.9319582],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5993296,"threshold_uncertainty_score":0.5715077,"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."}}