{"id":"W4234433431","doi":"10.1515/iupac.78.0620","title":"Translocation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Pesticide; Computer science; Management science; Data science; Ecology; Biology; Engineering; Data mining; Linguistics","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":[0.001326411,0.00188658,0.001366493,0.004430773,0.001019097,0.003286975,0.002690964,0.001927387,0.1765235],"category_scores_gemma":[0.009642104,0.0005774389,0.001500973,0.007766358,0.0004435585,0.002736691,0.002197688,0.001750388,0.1778415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088666,"about_ca_system_score_gemma":0.003480494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02157047,"about_ca_topic_score_gemma":0.03757308,"domain_scores_codex":[0.9978732,0.0003219398,0.0003717093,0.0007729961,0.0004390721,0.0002210178],"domain_scores_gemma":[0.9965252,0.0009538445,0.0004728343,0.0007512029,0.001062701,0.0002341848],"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":[0.00006158028,0.00001217011,0.0009100832,0.001004711,0.00002310283,0.00002307028,0.00002746225,0.0001390136,0.0001023615,0.0009616911,0.9923075,0.004427151],"study_design_scores_gemma":[0.00007223826,0.000008502015,0.001892165,0.0005549536,0.00001953619,0.00004674201,0.00006320075,0.0001049006,0.0001354301,0.001223948,0.995861,0.00001741297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006170906,0.0001037522,0.0000672055,0.00008422989,0.00002301903,0.00001295773,0.9982423,0.000148146,0.001256763],"genre_scores_gemma":[0.0002602288,0.0001181835,0.0002434468,0.0001159863,0.000007751176,0.00008997969,0.9979346,0.00005779535,0.001172049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1765235,"threshold_uncertainty_score":0.5905299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122628752785866,"score_gpt":0.351423290061774,"score_spread":0.3401970025339154,"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."}}