{"id":"W4229635361","doi":"10.1515/iupac.78.0502","title":"Primary Food Commodity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Commodity; Pesticide; Computer science; Data science; Ecology; Biology; Business; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.0007793093,0.001635288,0.001214698,0.006501081,0.0007625857,0.002293817,0.001831732,0.001247753,0.08218394],"category_scores_gemma":[0.00600091,0.0005184095,0.0009534814,0.01399953,0.0004120125,0.002045601,0.001753954,0.001620166,0.09539386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928568,"about_ca_system_score_gemma":0.002607916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567072,"about_ca_topic_score_gemma":0.03880832,"domain_scores_codex":[0.9988301,0.0001392519,0.0002144966,0.0003822536,0.0003058638,0.0001280638],"domain_scores_gemma":[0.9972613,0.0007339032,0.0004644199,0.0004420003,0.0009015021,0.0001968879],"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":[0.00005913062,0.00001883151,0.001908553,0.001202388,0.00002857096,0.00003877592,0.00005201708,0.0001861791,0.0001223389,0.001030576,0.9906229,0.004729692],"study_design_scores_gemma":[0.00003734859,0.000008210517,0.004970794,0.0004488366,0.00001400644,0.00005896179,0.0001188893,0.00009551932,0.0001249985,0.0007130047,0.9933937,0.00001573419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001203271,0.00007960529,0.00003295941,0.00003154944,0.0000111681,0.000007737962,0.9989313,0.00004716079,0.0007381056],"genre_scores_gemma":[0.0003101814,0.0001079573,0.0001616227,0.00003430965,0.000003975063,0.00005576191,0.9985179,0.00002206574,0.000786222],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08218394,"threshold_uncertainty_score":0.2749327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470905712111565,"score_gpt":0.3928232626971792,"score_spread":0.3681142055760636,"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."}}