{"id":"W4254066753","doi":"10.1515/iupac.78.0501","title":"Primary Feed Commodity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Computer science; Commodity; Data science; Management science; Engineering; 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":[0.0008029229,0.001520125,0.001193022,0.005981926,0.0006996318,0.002193003,0.001865034,0.001227062,0.0977964],"category_scores_gemma":[0.006413953,0.0005124684,0.0009201383,0.01227648,0.000344224,0.002024038,0.001517068,0.001490078,0.09151304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941409,"about_ca_system_score_gemma":0.002618198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02818249,"about_ca_topic_score_gemma":0.04310314,"domain_scores_codex":[0.9988567,0.0001355912,0.0002088047,0.0003760837,0.0003035875,0.0001191861],"domain_scores_gemma":[0.9971052,0.0008003048,0.0004730894,0.000460326,0.000988979,0.0001721545],"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":[0.00008062444,0.0000198981,0.001874002,0.001559106,0.00003436408,0.00003497825,0.00004370447,0.0002468367,0.0001538435,0.001105761,0.9890682,0.005778673],"study_design_scores_gemma":[0.00004297566,0.000008551895,0.004016323,0.0005139804,0.00001439348,0.00004176458,0.00008814821,0.00009984882,0.0001479132,0.0007234343,0.9942884,0.00001411659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009230257,0.00006504437,0.00003640768,0.00002673063,0.000009685885,0.00000717069,0.9988934,0.00005008095,0.0008190288],"genre_scores_gemma":[0.0003456661,0.0001207877,0.0002072117,0.00003689702,0.000003825786,0.00006037551,0.9982133,0.00002775773,0.0009841713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0977964,"threshold_uncertainty_score":0.3271616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170548720896511,"score_gpt":0.3388822769426149,"score_spread":0.3218274048529638,"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."}}