{"id":"W4232521883","doi":"10.1515/iupac.78.0469","title":"Pesticide Residue Monitoring","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; Pesticide; Chemical nomenclature; Computer science; Data science; Environmental chemistry; Chemistry; Ecology; Biology","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":[0.001273556,0.001620702,0.001379751,0.004495345,0.0006411166,0.001660141,0.00256676,0.001710531,0.05380431],"category_scores_gemma":[0.006738195,0.0004655897,0.001223375,0.008233967,0.0003347343,0.001805093,0.001488879,0.001495848,0.05473192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950646,"about_ca_system_score_gemma":0.002676881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478605,"about_ca_topic_score_gemma":0.04233762,"domain_scores_codex":[0.9984106,0.0002125496,0.0003203074,0.0004870787,0.0004538534,0.0001156373],"domain_scores_gemma":[0.9966935,0.0008454931,0.0005692438,0.0005641312,0.001171521,0.000156152],"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":[0.00009180242,0.00002691827,0.002200963,0.002209265,0.00005218323,0.00004745694,0.00002782253,0.0005387989,0.0002519462,0.001017638,0.9847555,0.008779632],"study_design_scores_gemma":[0.00007682856,0.00001339624,0.00489082,0.0007240995,0.00003197241,0.00006076474,0.00004669185,0.0002867419,0.00038728,0.001054218,0.9924027,0.00002459758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009610799,0.0001150481,0.00008380569,0.00004996589,0.00001233041,0.00001204612,0.9987001,0.0001007622,0.0008297065],"genre_scores_gemma":[0.0004302843,0.0001752664,0.000415019,0.00006307119,0.000005292779,0.00008295201,0.9980307,0.00003182674,0.0007656089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05380431,"threshold_uncertainty_score":0.1799933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029204971503885,"score_gpt":0.3634116428578432,"score_spread":0.3431195931428044,"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."}}