{"id":"W2752722281","doi":"10.3920/wmj2016.2174","title":"Correlation and variability between weighing, counting and analytical methods to determine ergot (Claviceps purpurea) contamination of grain","year":2017,"lang":"en","type":"article","venue":"World Mycotoxin Journal","topic":"Plant and fungal interactions","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Claviceps purpurea; Mycotoxin; Chemistry; Alkaloid; Coefficient of variation; Animal science; Contamination; Food science; Biology; Chromatography; Stereochemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01265667,0.0004630187,0.0004487808,0.001256035,0.0003134565,0.001002657,0.0006400134,0.0007296942,0.0003890106],"category_scores_gemma":[0.02130529,0.0004196135,0.0004526581,0.0009509392,0.0007257468,0.0003569676,0.0007377364,0.0004541917,0.0003548407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004186606,"about_ca_system_score_gemma":0.0002693764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001694091,"about_ca_topic_score_gemma":0.002818843,"domain_scores_codex":[0.978448,0.006060059,0.001815904,0.003942259,0.009327239,0.0004066078],"domain_scores_gemma":[0.9754381,0.01309935,0.003575636,0.004232951,0.00340337,0.0002506113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001012556,0.0003596651,0.7046793,0.0002667651,0.001441431,0.0001792731,0.001358308,0.003005189,0.2246825,0.0003697033,0.0005388588,0.06210641],"study_design_scores_gemma":[0.000016121,0.0007374862,0.9315067,0.00003572122,0.0002289526,0.0006819634,0.0002364644,0.01195606,0.05211994,0.000287724,0.00214528,0.00004762127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477777,0.001353532,0.04804891,0.00006409596,0.0001041915,0.0001829672,0.0004549907,0.0002039426,0.001809716],"genre_scores_gemma":[0.9817975,0.0002436573,0.01604095,0.00008429491,0.00002319525,0.0001277054,0.0006423644,0.00007180475,0.0009686119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01265667,"threshold_uncertainty_score":0.06693572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04232159588786619,"score_gpt":0.333899682061972,"score_spread":0.2915780861741058,"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."}}